Erreichen von Performance in Netzwerken-On-Chip für Echtzeitsysteme

In many new applications, such as in automatic driving, high performance requirements have reached safety critical real-time systems. Consequently, Networks-on-Chip (NoCs) must efficiently host new sets of highly dynamic workloads e.g., high resolution sensor fusion and data processing, autonomous decision’s making combined with machine learning. The static platform management, as used in current safety critical systems, is no more sufficient to provide the needed level of service. A dynamic platform management could meet the challenge, but it usually suffers from a lack of predictability and the simplicity necessary for certification of safety and real-time properties. In this work, we propose a novel, global and dynamic arbitration for NoCs with real-time QoS requirements. The mechanism decouples the admission control from arbitration in routers thereby simplifying a dynamic adaptation and real-time analysis. Consequently, the proposed solution allows the deployment of a sophisticated contract-based QoS provisioning without introducing complicated and hard to maintain schemes, known from the frequently applied static arbiters. The presented work introduces an overlay network to synchronize transmissions using arbitration units called Resource Managers (RMs), which allows global and work-conserving scheduling. The description of resource allocation strategies is supplemented by protocol design and verification methodology bringing adaptive control to NoC communication in setups with different QoS requirements and traffic classes. For doing that, a formal worst-case timing analysis for the mechanism has been proposed which demonstrates that this solution not only exposes higher performance in simulation but, even more importantly, consistently reaches smaller formally guaranteed worst-case latencies than other strategies for realistic levels of system's utilization. The approach is not limited to a specific network architecture or topology as the mechanism does not require modifications of routers and therefore can be used together with the majority of existing manycore systems. Indeed, the evaluation followed using the generic performance optimized router designs, as well as two systems-on-chip focused on real-time deployments. The results confirmed that the proposed approach proves to exhibit significantly higher average performance in simulation and execution.In vielen neuen sicherheitskritische Anwendungen, wie z.B. dem automatisierten Fahren, werden große Anforderungen an die Leistung von Echtzeitsysteme gestellt. Daher müssen Networks-on-Chip (NoCs) neue, hochdynamische Workloads wie z.B. hochauflösende Sensorfusion und Datenverarbeitung oder autonome Entscheidungsfindung kombiniert mit maschineller Lernen, effizient auf einem System unterbringen. Die Steuerung der zugrunde liegenden NoC-Architektur, muss die Systemsicherheit vor Fehlern, resultierend aus dem dynamischen Verhalten des Systems schützen und gleichzeitig die geforderte Performance bereitstellen. In dieser Arbeit schlagen wir eine neuartige, globale und dynamische Steuerung für NoCs mit Echtzeit QoS Anforderungen vor. Das Schema entkoppelt die Zutrittskontrolle von der Arbitrierung in Routern. Hierdurch wird eine dynamische Anpassung ermöglicht und die Echtzeitanalyse vereinfacht. Der Einsatz einer ausgefeilten vertragsbasierten Ressourcen-Zuweisung wird so ermöglicht, ohne komplexe und schwer wartbare Mechanismen, welche bereits aus dem statischen Plattformmanagement bekannt sind einzuführen. Diese Arbeit stellt ein übergelagertes Netzwerk vor, welches Übertragungen mit Hilfe von Arbitrierungseinheiten, den so genannten Resource Managern (RMs), synchronisiert. Dieses überlagerte Netzwerk ermöglicht eine globale und lasterhaltende Steuerung. Die Beschreibung verschiedener Ressourcenzuweisungstrategien wird ergänzt durch ein Protokolldesign und Methoden zur Verifikation der adaptiven NoC Steuerung mit unterschiedlichen QoS Anforderungen und Verkehrsklassen. Hierfür wird eine formale Worst Case Timing Analyse präsentiert, welche das vorgestellte Verfahren abbildet. Die Resultate bestätitgen, dass die präsentierte Lösung nicht nur eine höhere Performance in der Simulation bietet, sondern auch formal kleinere Worst-Case Latenzen für realistische Systemauslastungen als andere Strategien garantiert. Der vorgestellte Ansatz ist nicht auf eine bestimmte Netzwerkarchitektur oder Topologie beschränkt, da der Mechanismus keine Änderungen an den unterliegenden Routern erfordert und kann daher zusammen mit bestehenden Manycore-Systemen eingesetzt werden. Die Evaluierung erfolgte auf Basis eines leistungsoptimierten Router-Designs sowie zwei auf Echtzeit-Anwendungen fokusierten Platformen. Die Ergebnisse bestätigten, dass der vorgeschlagene Ansatz im Durchschnitt eine deutlich höhere Leistung in der Simulation und Ausführung liefert

Implementing the Principle of the Common Good in Classical and Social Enterprises

This publication aims to identify similarities and differences in the ways of implementing the principle of the common good in classical (commercial) and social enterprises. Given the differences between social and classical enterprises in terms of their objectives and modes of action, it has to be stressed that the nature of the contribution they make to the common good differs in terms of subject and object. The research is embedded in Catholic social teaching (CST) because this approach presents one of the theoretically and practically richest theories of the common good, and secondly, it allows to discover modern ways of building the common good while respecting centuries of tradition and referring to philosophical classics. The common good principle in the light of CST lets us focus not only on the material but also the transcendental aims of human work and life which lead to more sustainable management. Commercial enterprises strengthen intellectual capital and expand technological and business knowledge. The profit earned by these companies essentially contributes to the good of society (taxes, investment, charity), including employees (bonuses, training). Social enterprises, on the other hand, have the advantage of investing in social capital and thus building a civil society based on mutual trust and support, especially at a local and institutional level. The profit generated by these organisations is a means to achieve social goals and not an end in itself. The results of our research show that both commercial and social enterprises contribute to common good on their own ways but the best results can be achieved when they cooperate and use all of their strengths for building the better future

Chronic Ingestion of Bicarbonate-Rich Water Improves Anaerobic Performance in Hypohydrated Elite Judo Athletes: A Pilot Study

In combat sports, anaerobic power and anaerobic capacity determine sport performance and the dominant metabolic pathways. The decline in performance during exercise that is attributed to the cumulative effects of fatigue, including excessive accumulation of metabolites, depletion of energy substrates, and water and electrolyte disturbances, seems to be of greatest significance. In our experiment, we evaluated the effectiveness of three weeks of bicarbonate-rich water ingestion on anaerobic performance in a state of hydration and dehydration in elite judo athletes. Eight male, elite judo athletes participated in two single-blind, repeated-measures trials. They were assigned to two hydration protocols, ingesting low mineralized table water and bicarbonate-rich water. Anaerobic performance was evaluated by two 30 s Wingate tests for lower and upper limbs, respectively, under conditions of hydration as well as exercise-induced dehydration. Resting, post-ingestion, and post-exercise concentrations of bicarbonate (HCO3), urine osmolality (UOSM), urine specific gravity (UGRAV), and lactate (La) were measured. The current investigation assessed two related factors that impair anaerobic performance—hypohydration and buffering capacity. High-bicarbonate water ingestion improved buffering capacity, and we demonstrated the potential role of this mechanism and its phenomenon in masking the adverse effects of dehydration in the context of repeated high-intensity anaerobic exercise (HIAE)

The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems

This paper introduces an expanded version of the Invasive Weed Optimization algorithm (exIWO) distinguished by the hybrid strategy of the search space exploration proposed by the authors. The algorithm is evaluated by solving three well-known optimization problems: minimization of numerical functions, feature selection, and the Mona Lisa TSP Challenge as one of the instances of the traveling salesman problem. The achieved results are compared with analogous outcomes produced by other optimization methods reported in the literature

EMG analysis and modelling of flat bench press using artificial neural networks

The objective of this study was to evaluate the contribution of particular muscle groups during the Flat Bench  Press (FBP) with different external loads. Additionally, the authors attempted to determine whether regression  models or Artificial Neural Networks (ANNs) can predict FBP results more precisely and whether they can optimise the training process. A total of 61 strength-trained athletes performed four single repetitions with 70, 80, 90 and 100% of one repetition maximum (1RM). Based on both kinematic and electromyography results, a regression model and ANNs for predicting the FBP performance was created. In an additional study, 15 athletes performed the training session in order to verify the created model. The results of the investigation show that the created neural models 9-4-1 structure (NRMSE [Normalised Root Mean Squared Error], for the learning series was 0.114, and for the validation and test series 0.133 and 0.118, respectively), offer a much higher quality of prediction than a non-linear regression model (Absolute regression error – Absolute network error =47kg–17kg=30kg).Key words: Non-linear models; Artificial neural networks; Bench press performance; Electromyography

Expression of genes modulated by epigallocatechin-3-gallate in breast cancer cells

Introduction: Breast cancer is the most common malignant cancer among women. Both drug resistance and metastasis are major problems in the treatment of breast cancer. Therefore, adjuvant therapy may improve patients’ survival and affect their quality of life. It is suggested that epigallocatechin gallate (EGCG) which is well known for its chemopreventive activity and acts on numerous molecular targets may inhibit the growth and metastasis of some cancers. Hence, discovering the metastatic molecular mechanisms for breast cancer may be useful for therapy

Determining the Mechanical Properties of Solid Plates Obtained from the Recycling of Cable Waste

In this article, the possibility of obtaining a solid plate from waste cable sheaths, by mechanical recycling, i.e., grinding, plasticising and pressing, is discussed—waste cable sheaths being pure PVC with a slight admixture of silicone. Press moulding was carried out under the following conditions: temperature 135 °C, heating duration 1 h and applied pressure 10 MPa. The yield point of the obtained solid plate obtained was 15.0 + −0.6 MPa, flexural strength 0.94 MPa, yield point 0.47 MPa and Charpy’s impact strength 5.1 kJ/m2. The resulting solid plate does not differ significantly from the input material, in terms of mechanical strength, so, from the point of view of strength, that is, from a technical point of view, such promising processing of waste cables can be carried out successfully in industrial practice

Amphetamine and mCPP Effects on Dopamine and Serotonin Striatal in Vivo Microdialysates in an Animal Model of Hyperactivity

In the neonatally 6-hydroxydopamine (6-OHDA)-lesioned rat hyperlocomotor activity, first described in the 1970s, was subsequently found to be increased by an additional lesion with 5,7-dihydroxytryptamine (5,7-DHT) (i.c.v.) in adulthood. The latter animal model (i.e., 134 μg 6-OHDA at 3 d postbirth plus 75 μg 5,7-DHT at 10 weeks; desipramine pretreatments) was used in this study, in an attempt to attribute hyperlocomotor attenuation by D,L-amphet-amine sulfate (AMPH) and m-chlorophenylpi-perazine di HCl (mCPP), to specific changes in extraneuronal (i.e., in vivo microdialysate) levels of dopamine (DA) and/or serotonin (5-HT). Despite the 98-99% reduction in striatal tissue content of DA, the baseline striatal microdialysate level of DA was reduced by 50% or less at 14 weeks, versus the intact control group. When challenged with AMPH (0.5 mg/kg), the microdialysate level of DA went either unchanged or was slightly reduced over the next 180 min (i.e., 20 min sampling), while in the vehicle group and 5,7-DHT (alone) lesioned group, the microdialysate level was maximally elevated by ∼225% and ∼450%, respectively - and over a span of nearly 2 h. Acute challenge with mCPP (1 mg/kg salt form) had little effect on microdialysate levels of DA, DOPAC and 5-HT. Moreover, there was no consistent change in the microdialysate levels of DA, DOPAC, and 5-HT between intact, 5-HT-lesioned rats, and DA-lesioned rats which might reasonably account for an attenuation of hyperlocomotor activity. These findings indicate that there are other important neurochemical changes produced by AMPH-and mCPP-attenuated hyperlocomotor activity, or perhaps a different brain region or multiple brain regional effects are involved in AMPH and mCPP behavioral actions