Using the Random Forest method, we developed a fast-high-performance classification model, which can exclude potential schizophrenic disorder in diagnosis of potentially exposed people. Our model mainly consists three preprocessing steps: ICA, Spectral Analysis using Buettner et al.'s 99-frequency-band-method and normalization. this pipeline followed by Forest, validated with different parameters, random states 10-fold-cross-validation, could schizophrenia an accuracy 100%. By applying...

Technological innovation and requirements of modern production are leading to a significant transformation logistics. Cyber-physical systems introduced as an integrating concept for improving information flow from execution decision vice versa. Accompanied by with increasing degree autonomy, new challenges arise in modelling implementing autonomous logistics, i.e., Logistics 4.0. Thus, sophisticated simulation approaches required, capable representing both: material automation well software...

The COVID-19 pandemic has surprised the modern world and presented challenges on an unprecedented scale. Within a few months of first case being reported at end 2019, almost every country in is now affected (WHO 2020). Restrictions public life were not made fast enough and, some cases, sufficient to stop global spread. Here we see dark sides globalization. crisis coming with intensity undreamt for today’s generations, affecting all areas least temporarily, fundamentally changing them....

As the complexity of optimization problems increases, new scalable architectures for variable problem are needed. In this paper we introduce an agent based framework distributing and managing a particle swarm on several interconnected computers. Agent Based Parallel Particle Swarm Optimization (APPSO) accelerates through parallelization strategical niching, offers dynamic scalability at runtime, fault tolerance. Due to its load balancing feature APPSO runs efficient heterogeneous system. Two...

Traffic routing is a well-established optimization problem in traffic management. Here, we address dynamic problems where the load of roads taken into account dynamically, aiming at required travel times. We investigate ant-based algorithms that can handle problems, but suffer from negative emergent effects like road congestions. These are inherent design algorithms. In this article propose an inverse algorithm to (a) maintain positive features for while (b) avoiding occurrence emerging...

Technological innovation and requirements of modern production are leading to a significant transformation logistics. Cyber-physical systems introduced as an integrating concept for improving information flow from execution decision vice versa. Accompanied by with increasing degree autonomy, new challenges arise in modelling implementing autonomous logistics, i.e., Logistics 4.0. Thus, sophisticated simulation approaches required, capable representing both: material automation well software...

Consumption of animal-sourced food is an important factor in broadening the diet early hominins, promoting brain and body growth, increasing behavioural complexity. However, whether hominins obtained animal by scavenging or hunting large mammals remains debated. Sabre-toothed felids have been proposed to facilitate expansion Homo out Africa into Europe 1.4-0.8 Ma creating a niche for scavengers Eurasia as carcasses abandoned these still contained abundant edible resources. In contrast, it...

Simulating large scale, distributed systems of autonomous decision-makers, e.g. global logistics supply networks, is a huge challenge for hardware and software infrastructure as well managing the process simulation. Facing this challenge, we are going to introduce an architecture scale grid-based simulation enable high performance multiagent experiments that deal with amount agents, i.e. more than ten thousands agents.

Recent advances in the field of intelligent vehicles have shown that it is possible nowadays to provide driver with useful assistance systems, or even letting a car drive autonomously over long distances on highways. Usually these approaches are rather quantitative level. A knowledge-based approach as presented here has advantage better comprehensibility and allows for formulating using common sense knowledge traffic rules while reasoning. In our base central component higher-level...

Simulation has become a widely accepted technology for analyzing or planning systems in various domains. In production logistics, instance, many companies use simulation to evaluate scenarios before actually the construction modifications of hall processes are performed order get insights about performance planned configurations. this paper, we propose an approach knowledge-based adaptation models. The vision work is go one step beyond parameter optimization, namely provide means automated...

In order to set up assistance systems in intelligent vehicles or control an autonomous vehicle a number of cognitive functions has be realized integrated architecture. this paper we propose knowledge-based risk assessment procedure identify objects which might dangerous for the own vehicle. Having advanced vision system with gaze mind can determine where concentrate attention. The approach is evaluated by simulating different traffic scenes.

Modern information and communication technologies like the internet or mobile computing are enforcing changes of Business Information Systems (BIS) in context an evolving e-business global economy. This paper analyses impact mass customisation on future BIS, with a focus globally distributed value chains. Consequently, we address question how to scale existing supply webs. New innovative concepts needed keep transaction costs low logistics transparent. Using case study from footwear...