Airborne radar plays an important role in sea surface search and rescue and national defense, and the analysis of control variables in multiple dimensions of the sea conditions of the sea surface to be detected, the f...
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The article discusses the issue of creating a dynamic system for managing and monitoring the quality of ore flow in mineral resource complexes using simulationmodeling. The purpose of this study is to adapt the mathe...
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Complex networks, as a powerful tool, have been widely used in various fields such as social sciences, biological sciences, and computer science to study the structure and behavior of complex systems. In discrete manu...
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Efficient processing architectures for irregular data patterns require vector element addressing with flexible indices. Therefore, state-of-the-art SIMD vector extensions implement gather and scatter instructions for ...
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ISBN:
(纸本)9783031783760;9783031783777
Efficient processing architectures for irregular data patterns require vector element addressing with flexible indices. Therefore, state-of-the-art SIMD vector extensions implement gather and scatter instructions for indexed addressing of data in memory. In vertical vector processors, different data is processed sequentially in parallel lanes and can be exchanged via chaining. This paper proposes an extension of such chaining mechanisms in a vertical vector processor architecture (V2PRO) to flexibly chain not only data but also address offsets between vector lanes. The indirect addressing enables vector access patterns with irregular strides for both register file and memory. The extension has a low hardware overhead of +4.8 % lookup tables and +1.8% registers on a Xilinx Ultrascale+ FPGA. A runtime evaluation for two applications from computer vision, namely Deformable Convolutions and point cloud encoding with PointPillars, demonstrates speedups of at least an order of magnitude with the proposed extension.
Agent-Based modeling and simulation (ABMS) has been increasingly applied in various research fields, thanks to the capability of these models to describe fine-grained realworld behavior and to the ease of interpretati...
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The Italian foundation for Security and Rights in Cyberspace (SERICS) is in charge of managing the current, broad range, research in a variety of computer security domains, ranging from strictly computer related aspec...
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ISBN:
(纸本)9783031783791;9783031783807
The Italian foundation for Security and Rights in Cyberspace (SERICS) is in charge of managing the current, broad range, research in a variety of computer security domains, ranging from strictly computer related aspects, such as OS and Virtualization security, to the development of new cryptographic techniques, up to tackling human, social and legal problems related to computer security and privacy. The SERICS project is founded by the Italian National Recovery and Resilience Plan (NRRP), which in turn receives funding from the EU - NextGenerationEU programme. The SERICS foundation is managing the STRIDE project, to tackle the aforementioned research challenges. In the context of the STRIDE projects, a cascade call was made to tackle specific aspects of the overall reseach challenges. The two-years AQuSDIT project, winner of the aforementioned cascade call, aims to tackle the current open problems in the digital identity realm, with a particular focus on resistance to quantum computer-based attacks, and ledger-based technologies for identification and supply chain tracking. In this context, the research activities at Politecnico di Milano focus on the design of post quantum cryptosystems, and their secure and efficient realization as hardware components, either in the form of full accelerators, or support to existing computing infrastructures. In the following, we will present an overview of the research activities of the 2-year AQuSDIT project, together with an outlook on the first research results which have been obtained by the group of participants from Politecnico di Milano.
This paper presents the IFOR CB-24, a fully automated unmanned surface vehicle (USV) designed for waterbody cleaning and quality testing. Utilizing edge computing, computer vision, and lightweight machine learning alg...
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Falls caused by tripping, slipping and missteps are an accident hotspot in both the professional and private environment. In addition to structural defects such as slippery floors or tripping hazards, the causes are o...
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ISBN:
(纸本)9783031357404;9783031357411
Falls caused by tripping, slipping and missteps are an accident hotspot in both the professional and private environment. In addition to structural defects such as slippery floors or tripping hazards, the causes are often found in objects lying around and dirt, which could be avoided. Order and cleanliness are also well-known occupational safety measures, but they do not work across the board. In the area of occupational safety and health (OSH), employees can be sensitized to hazards and their consequences in a professional context and motivated to behave in a safe manner. The project 'BGHW Warehouse simulation' packs an old topic into new technologies - virtual reality (VR) - to reawaken interest in the problem. The aim is that the hazard is eliminated directly by the employee or at least a warning is pronounced, or a report is sent to the superior. Trainers support the application in supervised discussions. The development of an instructional application is presented following a structural design approach. The design of the VR technology considers the Warehouse simulation as an initial approach with more to come in different application domains. Experiences from the use of the simulator refer to different stakeholders and are presented and discussed. Considerations for further revisions are summarized.
Due to the substantial complexity of plasma numerical simulation processes and the significant time required for operation, this paper establishes a dedicated dataset. It investigates deep learning-Assisted modeling m...
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Rice is a popular crop in the world. This paper has constructed a model using deep Learning for classification. Classification is a critical process in identifying the class of an image. Here, the Rice dataset has bee...
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