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ARCS Workshop 2019;32nd International Conference on architecture of Computing Systems

作者： Konrad Haeublein Wolfgang Brueckner Steffen Vaas Sebastian Rachuj Marc Reichenbach Dietmar Fey Department of Computer Science Chair of Computer Architecture Friedrich-Alexander-University Erlangen-Nuremberg

ISBN: (纸本)9783800749577

As reconfigurable platforms become more and more complex through heterogeneous architectures, exploiting the gained computational speedup efficiently remains a difficult task. Such FPGA based platforms like the Xilinx Zynq require detailed knowledge in FPGA design as well as embedded programming and platform configuration which makes it hard to exploit it for embedded applications where usually no reconfigurable hardware was used, e.g. optical ADAS applications. Through the development of the PYNQ system handling the entire platform by a Python interface becomes possible. The framework comes with a wide support of OpenCV functions for ARM-based processing. However, the main PYNQ project does not offer hardware support for these functions. In this paper, we describe the design an easy to use hardware library for applying complex image processing applications on PYNQ. Our library has been published as open-source repository. It supports various common image functions including Gaussian blur, Sobel or Median filter and even the Canny edge detection. Using the library does not require any hardware knowledge. Supported hardware functions are automatically detected and outsourced on the *** the provided HLS interface our library can be extended by adding further components. Our results show that the library can be used for accelerating typical ADAS tasks like lane detection in order to achieve real time performance.

关键词： PYNQ Image processing Heterogeneous computing MPSoC Lane detection ADAS Hardware accelerators advanced driver assistance systems (ADAS) hardware accelerator Libraries Image processing multiprocessor system on chip Field programmable gate arrays image function Function Platform computer hardware median filters

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Towards real-time and memory efficient predictions of valve states in diesel engines

Towards real-time and memory efficient predictions of valve ...

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IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, CIVVS

作者： Philippe Komma Andreas Zell Chair of Computer Architecture Computer Science Department University of Tübingen Tubingen Germany

To reduce production costs of current engines, car manufacturers strive to replace built-in sensors by software solutions. However, the limitations of current micro controllers require time and memory efficient algorithms. In this paper, we propose a real-time framework for the detection of engine valve states based on wavelet analysis of in-cylinder pressure curves. Extracted wavelet features are then filtered out using mutual information such that only the most relevant wavelet coefficients become the input of the chosen support vector regressor. A further speedup is achieved by an approximation of the support vector solution which comprises less support vectors. We show that the combination of relevant feature selection and the regressor model simplification results in a significant decrease of the recall phase complexity while retaining good generalization performance.

关键词： Valves Diesel engines Production Costs Manufacturing Embedded software Wavelet analysis Data mining Feature extraction Information filtering

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Reliably locking system V shared memory for user level communication in Linux

Reliably locking system V shared memory for user level commu...

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Annual IEEE Symposium on Foundations of computer science

作者： F. Seifert W. Rehm Department of Computer Science Chair of Computer Architecture Chemnitz University of Technology Chemnitz Germany

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Latency Measurements for an Emulation Platform on Autonomous Driving Platform NVIDIA Drive PX2

Latency Measurements for an Emulation Platform on Autonomous...

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ARCS Workshop 2018;31th International Conference on architecture of Computing Systems

作者： Christian Widerspick Wolfgang Bauer Dietmar Fey Department of Computer Science Chair of Computer Architecture Friedrich-Alexander-University Erlangen-Nuremberg

The use of GPUs in the automotive sector is a possibility to provide a lot of computing power for complex algorithms required for autonomous driving. In order to be able to make statements about the real-time capability of algorithms, it is necessary to be able to make precise statements about the runtime behavior. This work deals with the execution time of instructions on the NVIDIA Drive PX2 evaluation platform designed for an automotive environment. It is to be shown what influence block and warp variables have on execution times and whether these values can be used to estimate the total runtime of algorithms. This provides a deeper insight into the functionality of the modern Pascal architecture.

关键词： execution time PANX2 gene real-time capability algorithms driving platform Statement computational power Automobile driving instruction simulating DRIVES Platform Runtime

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Rural Urban Transformation: Parametric Approach on Metabolism-Based Planning Strategies in Ethiopia 11

Rural Urban Transformation: Parametric Approach on Metabolis...

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11th Annual Symposium on Simulation for architecture and Urban Design, SimAUD 2020

作者： Elshani, Diellza Vititneva, Ekaterina Gilmanov, Artem König, Reinhard Dennemark, Martin Schneider, Sven Schmidt, Philippe Abdulmawla, Abdulmalik Bauhaus-University Weimar Professorship for Computational Architecture Weimar Germany AIT Austrian Institute of Technology Smart and Resilient Cities Vienna Austria Bauhaus-University Weimar Chair of Computer Science in Architecture Weimar Germany

ISBN: (纸本)9781565553712

The emerging countries are confronted by an unprecedented wave of urbanization, which seeks rapid urban planning and sustainable development. A typical example is Ethiopia where the need for economic growth, food security, water, energy and social infrastructure is being fostered. To achieve this Ethiopian government plans to develop a large number of small cities. A computational approach can help to tackle these challenges, by providing several designs in a short manner of time and evaluate their performance. In this paper we investigate an approach, as part of a big study and tests, to the growth and transformation of an Ethiopian rural zone into an urban one by using generative urban design strategies. Taking into consideration the materials flow in a system, the crucial part of the transformation is the urban metabolism, which tackles the interactions of natural and human systems. The developed adaptable model tend to transform the rural zones into attractive, interactive and healthy towns that are self-sufficient regarding food, water and energy. © 2020 Society for Modeling & Simulation International (SCS)

关键词： Rural areas

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One for all, 1 for one: Connecting ideas for collaborative urban and architectural design

One for all, 1 for one: Connecting ideas for collaborative u...

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IEEE International Technology Management Conference (ITMC)

作者： Dirk Donath Danny Lobos Christian Bauriedel Chair for Computer Science in Architecture Bauhaus-University Weimar Germany

The collaborative work has been, visible or not, since many years the core work structure in many fields related to Design process (architecture, Industrial Design, Manufacturing Industries) since a simple fact: it is not possible that one person to make all the phases, from the conception, drawings, model, to the manufacture of the object. The unique exception nowadays (one person that makes alone all the phases) is the handcraft art and some few very advanced projects related to Digital Design research. In this paper we describe the complexity of this problem that affects every day to the practice of the architecture as well as we present an critic experience, a possible solution in this field, by using a cutting edge technology for Architectural Design and a new structure for team work.

关键词： Three-dimensional displays Solid modeling Collaborative work computer architecture Conferences computers Collaboration

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A methodological framework for futures studies: integrating normative backcasting approaches and descriptive case study design for strategic data-driven smart sustainable city planning

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Energy Informatics 2020年第1期3卷 1-42页

作者： Bibri, Simon Elias Department of Computer Science The Norwegian University of Science and Technology Sem Saelands veie 9 TrondheimNO–7491 Norway Department of Architecture and Planning The Norwegian University of Science and Technology Alfred Getz vei 3 Sentralbygg 1 5th floor TrondheimNO–7491 Norway

Originally proposed as an alternative to traditional energy planning methodology in the 1970s, backcasting is increasingly applied in futures studies related to sustainability, as it is viewed as a natural step in operationalizing sustainable development. This futures study is concerned with data-driven smart sustainable urbanism as an instance of sustainable urban development—a strategic approach to achieving the long-term goals of urban sustainability. This is at the core of backcasting, which typically defines criteria for a desirable (sustainable) future and builds a set of feasible and logical pathways between the state of the future and the present. This paper reviews, discusses, and justifies the methodological framework applied in the futures study. This aims to analyze, investigate, and develop a novel model for data-driven smart sustainable cities of the future as a form of transformative change towards sustainability. This paper corroborates that the backcasting approach—as applied in the futures study—is well-suited for long-term urban problems and sustainability solutions due to its normative, goal-oriented, and problem-solving character. It also suggests that case study research is the most effective way to underpin and increase the feasibility of future visions. Indeed, the case study approach as a research strategy facilitates the investigation and understanding of the underlying principles in the real-world phenomena involved in the construction of the future vision in the backcasting study. The novelty of this work lies in the integration of a set of principles underlying several normative backcasting approaches with descriptive case study design to devise a framework for strategic urban planning whose core objective is clarifying which city model is desired and working towards that goal. Visionary images of a long-term future based on normative backcasting can spur innovative thinking about and accelerate the movement towards sustainability. The p

关键词： Sustainable development

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The eco-city and its core environmental dimension of sustainability: green energy technologies and their integration with data-driven smart solutions

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Energy Informatics 2020年第1期3卷 1-26页

作者： Bibri, Simon Elias Department of Computer Science The Norwegian University of Science and Technology Sem Saelands veie 9 NO–7491 Trondheim Norway Department of Architecture and Planning The Norwegian University of Science and Technology Alfred Getz vei 3 Sentralbygg 1 5th floor NO–7491 Trondheim Norway

Ecological urbanism is seen today as one of the keys towards unlocking the quest for a low-carbon or fossil fuel–free society. Global and local policies promote and advocate the eco–city as the most environmentally sound model of sustainable urbanism. It is argued that the eco–city strategies and solutions are expected to deliver positive outcomes in terms of minimal demand on energy resources and thus minimal environmental impacts. Moreover, it has recently been suggested that the eco-city needs to embrace and leverage what advanced ICT has to offer, particularly with regard to sustainable energy systems, so as to improve and advance its contribution to the goals of environmental sustainability. This paper examines how the eco–city especially its core environmental dimension is practiced and justified in urban planning and development with respect to sustainable energy systems and their integration with data-driven smart technologies at the district level. To illuminate this urban phenomenon accordingly, a descriptive case study is adopted as a qualitative research methodology where the empirical basis is formed by urban planning and development documents combined with secondary data and scientific literature. To provide a theoretical foundation and produce a rationale for this study, this paper first provides a state–of–the–art review of the field of ecological urbanism in terms of its foundations, models, strategies, research issues, as well as data–driven smart technological trends. This study shows that the Eco-city District of Stockholm Royal Seaport uses green energy and data-driven smart technologies as the key strategies and solutions for achieving the environmental objectives of sustainable development in terms of lowering energy consumption and mitigating pollution. This entails conserving and decreasing the demand for energy through renewable resources (i.e., sun, wind, and water), bio–fuelled Combined Heat Power system, large-scale smart grid system, en

关键词： Sustainable development

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The emerging data–driven Smart City and its innovative applied solutions for sustainability: the cases of London and Barcelona

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Energy Informatics 2020年第1期3卷 1-42页

作者： Bibri, Simon Elias Krogstie, John Department of Computer Science The Norwegian University of Science and Technology Sem Saelands veie 9 TrondheimNO–7491 Norway Department of Architecture and Planning The Norwegian University of Science and Technology Alfred Getz vei 3 Sentralbygg 1 5th floor TrondheimNO–7491 Norway

The big data revolution is heralding an era where instrumentation, datafication, and computation are increasingly pervading the very fabric of cities. Big data technologies have become essential to the functioning of cities. Consequently, urban processes and practices are becoming highly responsive to a form of data-driven urbanism that is the key mode of production for smart cities. Such form is increasingly being directed towards tackling the challenges of sustainability in the light of the escalating urbanization trend. This paper investigates how the emerging data-driven smart city is being practiced and justified in terms of the development and implementation of its innovative applied solutions for sustainability. To illuminate this new urban phenomenon, a descriptive case study is adopted as a qualitative research methodology to examine and compare London and Barcelona as the leading data-driven smart cities in Europe. This study shows that these cities have a high level of the development of applied data-driven technologies, but they slightly differ in the level of the implementation of such technologies in different city systems and domains with respect to sustainability areas. They also moderately differ in the degree of their readiness as to the availability and development level of the competences and infrastructure needed to generate, transmit, process, and analyze large masses of data to extract useful knowledge for enhanced decision making and deep insights pertaining to urban operational functioning, management, and planning in relation to sustainability. London takes the lead as regards the ICT infrastructure and data sources, whereas Barcelona has the best practices in the data-oriented competences, notably horizontal information platforms, operations centers, dashboards, training programs and educational institutes, innovation labs, research centers, and strategic planning offices. This research enhances the scholarly community’s current understand

关键词： Sustainable development

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A novel model for data-driven smart sustainable cities of the future: the institutional transformations required for balancing and advancing the three goals of sustainability

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Energy Informatics 2021年第1期4卷 1-37页

作者： Bibri, Simon Elias Department of Computer Science The Norwegian University of Science and Technology Sem Saelands veie 9 TrondheimNO 7491 Norway Department of Architecture and Planning The Norwegian University of Science and Technology Alfred Getz vei 3 Sentralbygg 1 5th floor TrondheimNO 7491 Norway

In recent years, it has become increasingly feasible to achieve important improvements of sustainability by integrating sustainable urbanism with smart urbanism thanks to the proven role and synergic potential of data-driven technologies. Indeed, the processes and practices of both of these approaches to urban planning and development are becoming highly responsive to a form of data-driven urbanism, giving rise to a new phenomenon known as "data-driven smart sustainable urbanism." Underlying this emerging approach is the idea of combining and integrating the strengths of sustainable cities and smart cities and harnessing the synergies of their strategies and solutions in ways that enable sustainable cities to optimize, enhance, and maintain their performance on the basis of the innovative data-driven technologies offered by smart cities. These strengths and synergies can be clearly demonstrated by combining the advantages of sustainable urbanism and smart urbanism. To enable such combination, major institutional transformations are required in terms of enhanced and new practices and competences. Based on case study research, this paper identifies, distills, and enumerates the key benefits, potentials, and opportunities of sustainable cities and smart cities with respect to the three dimensions of sustainability, as well as the key institutional transformations needed to support the balancing of these dimensions and to enable the introduction of data-driven technology and the adoption of applied data-driven solutions in city operational management and development planning. This paper is an integral part of a futures study that aims to analyze, investigate, and develop a novel model for data-driven smart sustainable cities of the future. I argue that the emerging data-driven technologies for sustainability as innovative niches are reconfiguring the socio-technical landscape of institutions, as well as providing insights to policymakers into pathways for strengthening

关键词： Sustainable development

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