Various research institutions and semiconductor manufacturers have presented approaches for miniaturized safety systems based on redundant configurations in the last years. ICAS has been working on approaches for Safe...
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Various research institutions and semiconductor manufacturers have presented approaches for miniaturized safety systems based on redundant configurations in the last years. ICAS has been working on approaches for Safety Systems on Chip (SoC) since 2005 and has developed several certified variants of safety SoCs in this context together with well-known safety manufacturers. In parallel, the further development of the architecture of safety SoCs was also driven forward and manifested with the ReSCU-V1 in 2018. A logical consequence is the development of the ReSCU-V2, with which further architectural developments of the safe SoC design at ICAS in Kassel have succeeded with a practically completely redundant architecture. The resulting SoC was realized on a 180 nm process from UMC. It has a chip size of 5×5 mm and consumes less than 500 mW of power.
The application of a distributed intelligent control system for a group of unmanned aerial vehicles is substantiated, a method for coordinating their interaction to maximize the target indicator is proposed and substa...
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Easy access to time series forecasting provides a strong competitive advantage for any company or organization. As automated forecasting environments become more prevalent in the market, it is crucial to explore their...
Easy access to time series forecasting provides a strong competitive advantage for any company or organization. As automated forecasting environments become more prevalent in the market, it is crucial to explore their capabilities and features to utilize them competently. This study demonstrates the influence of data coverage on prediction accuracy and validates the initial assumption. Based on the findings, recommendations have been presented to enhance the quality of predictive processes.
Scientific and scientific-technical information is a valuable tool for the development of education, technology and society as a whole. The increase in the volume of information and the development of information netw...
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The next milestone in the automotive industry is to achieve the complete autonomous driving capability. This demands high performance computing controllers and a larger number of Electronic Controller Units (ECUs) for...
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ISBN:
(纸本)9781665414937;9781665430579
The next milestone in the automotive industry is to achieve the complete autonomous driving capability. This demands high performance computing controllers and a larger number of Electronic Controller Units (ECUs) for realizing this goal. Also, the current shift towards electric cars where the battery capacity is limited, urges for new efficient approaches. Therefore, developing compact, miniaturized integrated controller that encompasses all the features is essential for minimizing the power consumption. At the same time, this approach of ECUs must also ensure the cost efficiency. To address and handle this need, the reduction in the ECUs numbers is necessary to reduce the cost factor but at the same time not compromising on the functionalities. Therefore, the approach of integrating these individual features in a single ECU is a promising way forward, i.e., System-on-Chip (SoC). To design and implement such an SoC for the automotive industry that ensures the safe operation of the controlled functions, it must follow a particular development criterion according to the ISO 26262 - functional safety of the road vehicles. This work focuses on the development of an SoC according to the ISO 26262 standard based on ARM Cortex M3 architecture which is an attractive candidate due to its low cost and low power consumption.
The report proposes a dynamic routing method for Self-healing Networks (ShN). The method takes into account the specific features of ShN. During routing, the flow of service information is reduced. The search for the ...
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ISBN:
(数字)9798350384499
ISBN:
(纸本)9798350384505
The report proposes a dynamic routing method for Self-healing Networks (ShN). The method takes into account the specific features of ShN. During routing, the flow of service information is reduced. The search for the optimal route is carried out using a convolutional neural network. The method significantly outperforms existing methods when some network nodes fail.
The Internet of Things (IoT) today already connects billions of different IoT devices with the Internet. With the advent of new services and services, new challenges arise: how to make a cloud service publicly availab...
The Internet of Things (IoT) today already connects billions of different IoT devices with the Internet. With the advent of new services and services, new challenges arise: how to make a cloud service publicly available, and reliable, how and where to store data. The article considers an example of the implementation of an IoT application with cloud components, considers the implementation of connecting IoT components to a cloud provider, and presents the IoT architecture. The focus is on the architecture and implementation of data exchange protocols, the implementation of protocols? for data collection and management of remote system components Given the large amount of data transmitted by IoT devices to the cloud, data compression and interaction with cloud services is a very relevant topic. Therefore, the article also offers recommendations for managing the traffic of IoT devices. The purpose of this article is to provide a description and algorithm for connecting IoT devices to the cloud, to bring together disparate information, and make it open and understandable to beginners and academic researchers.
Classification is one of the methods of the intelligent data analysis (data mining), which allows to study the existing data set and create a model for each class based on its data features. To increase the accuracy o...
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The mechanical force imparted by industrial robots is enormous and can lead to dangerous situations for human workers and property if they malfunction. System designs based on the redundancy concept are essential to a...
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ISBN:
(纸本)9781665414937;9781665430579
The mechanical force imparted by industrial robots is enormous and can lead to dangerous situations for human workers and property if they malfunction. System designs based on the redundancy concept are essential to avoid or mitigate the resulting risk, which is recommended by the various safety standards. In this paper, a 1oo2D based safety SoC that provides multiple Ethernet communication interfaces is presented. Two different design approaches are implemented using the in-house FPGA development board based on the LEON3 soft processor. The software algorithms for each approach are developed and verified.
In pattern recognition, depending on how the training sample is represented, a theory associated with the standard representation of the training sample (information) and the structural theory are distinguished. In th...
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ISBN:
(数字)9798350399202
ISBN:
(纸本)9798350399202
In pattern recognition, depending on how the training sample is represented, a theory associated with the standard representation of the training sample (information) and the structural theory are distinguished. In the first case it is convenient to set and describe objects that are independent of each other, objects that have a rigid, static nature. In the second case, when information is specified in a structural way, it is convenient to study, describe and recognize objects whose basis presents an invariable internal or external structure. This paper considers a fundamentally different case of setting learning information. It deals with objects and processes that are based on conflict. Such features are peculiar to the data sets that an unmanned vehicle receives while driving, which requires minute-by-minute formation and decision-making in the context of the current traffic situation. Naturally, it is necessary to involve game-theoretic models to describe conflicts. It is these issues, i.e., the systematic study of game-theoretic models in the problems of recognition and classification, that the work is devoted to. It is emphasized that the classification of recognizable objects, as some speculative system, must meet the requirements of sufficiency of grounds and coverage of the totality of existing and possible recognizable objects. The most important purpose of classification is to describe the properties of its classes and subclasses, types and subspecies of recognized objects, which makes it possible for it to be used for recognizing specific objects, which subjects encounter in certain areas of activity. The paper introduces the concept of stable classification, formulates and proves the theorems based on the introduced concept, the sufficiency of the conditions for the correctness of the algorithm of pattern recognition, using the game-theoretic approach and evaluation of the degree of stability of the classification underlying it. The generated theorems a
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