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DREAMPlaceFPGA: An open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit 22

DREAMPlaceFPGA: An Open-Source Analytical Placer for Large S...

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27th Asia and South Pacific Design Automation conference (ASP-DAC)

作者： Rajarathnam, Rachel Selina Alawieh, Mohamed Baker Jiang, Zixuan Iyer, Mahesh Pan, David Z. Univ Texas Austin Dept Elect & Comp Engn Austin TX 78712 USA Intel Corp San Jose CA USA

ISBN: (纸本)9781665421355

Modern Field Programmable Gate Arrays (FPGAs) are large-scale heterogeneous programmable devices that enable high performance and energy efficiency. Placement is a crucial and computationally intensive step in the FPGA design flow that determines the physical locations of various heterogeneous instances in the design. Several works have employed GPUs and FPGAs to accelerate FPGA placement and have obtained significant runtime improvement. However, with these approaches, it is a non-trivial effort to develop optimized and algorithmic-specific kernels for GPU and FPGA to realize the best acceleration performance. In this work, we present DREAMPlaceFPGA, an open-source deep-learning toolkit-based accelerated placement framework for large-scale heterogeneous FPGAs. Notably, we develop new operators in our framework to handle heterogeneous resources and FPGA architecture-specific legality constraints. The proposed framework requires low development cost and provides an extensible framework to employ different placement optimizations. Our experimental results on the ISPD'2016 benchmarks show very promising results compared to prior approaches.

关键词： Performance evaluation Runtime Graphics processing units programming Logic gates Timing Field programmable gate arrays

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Unit Test Framework for Distributed Unit Manager (DUMGR) of 5G RAN 14

Unit Test Framework for Distributed Unit Manager (DUMGR) of ...

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14th International conference on Computing Communication and networking Technologies, ICCCNT 2023

作者： Suman, Madhumati Patil, Rajendrakumar Kotoju, Rajesh Coep Technological University Department of Electronics & Telecommunication Engineering Pune India Parallel Wireless India Pvt. Ltd Banglore India

ISBN: (纸本)9798350335095

The three main parts of 5G wireless systems, commonly referred to as 5G New Radio technology, are user equipment, access side, and core side. The open Radio Access network (O-RAN) is designed to enable the Next Generation-RAN, which is a crucial component for providing wireless connectivity through a radio link between devices and the core network. The Radio Unit, Centralised Unit, and Distributed Unit make up the *** project focuses on developing a Unit Test Framework for DU MGR (DU Manager) and creating stubs or simulators that can replace the actual implementation of a component during testing using C language. For instance, we have developed CU stub, RLC stub, MAC stub, DUOAM stub and F1U stub to simulate the behavior of the components that DU MGR interacts with. By using these stubs, we aimed to validate the functionality of DU MGR, which is our Device under Test (DUT). We verified the cell bring-up, UE attach call flows of 5G and negative scenarios possible through writing test *** project has used the "VS Code"editor to write code in the C language. Also, we used Jenkins CI/CD to develop and run tests for our code. The "MobaXterm"application was used to execute and repeat testing suites and to verify logs for debugging purposes. © 2023 ieee.

关键词： C (programming language)

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Multi-objective Stochastic Volt/VAR Optimization in AC-DC Hybrid Distribution network Considering Soft open Point

Multi-objective Stochastic Volt/VAR Optimization in AC-DC Hy...

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International conference on Smart Grid Energy Systems and Control, SGESC 2021

作者： Pamshetti, Vijay Babu Murty, V.V.S.N. Singh, S.P. Sharma, Ashwani Kumar Chaitanya Bharathi Institute of Technology Telangana Hyderabad500075 India National Institute of Technology Kurukshetra Haryana Kurukshetra136119 India Varanasi Uttar Pradesh Varanasi221005 India

ISBN: (纸本)9789811674716

To cope with different types of distributed energy sources (DERs) and AC/DC loads, combined AC and DC distribution network has emerged as a potential solution for the forthcoming distribution network. However, upward integration of DERs imposes several problems such as voltage violations and system power losses. In order to minimize the system power loss and voltage deviations at the same time, a two-stage multi-objective stochastic Volt/VAR optimization for HDN considering soft open points (SOP) is proposed in this paper. In state 1, a coordination optimization model considering legacy Volt/VAR control devices, status of network switches, DERs, voltage source converter (VSC) and SOP has been established;in stage 2, model predictive control (MPC) based rolling optimization control model has been built, to eliminate the forecasted deviations caused by renewable energy sources and loads. Besides, the original non-convex mixed-integer nonlinear programming (MINLP) problem has been transformed into a mixed-integer second-order cone programming (MISOCP) problem for a feasible solution. The proposed scheme has been verified and authenticated on ieee 33 bus AC-DC DN. The simulation results reveal the reputation of the proposed methodology on the aforementioned problems. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Nonlinear programming

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Feature Refinement network for Crowd Counting

Feature Refinement Network for Crowd Counting

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2022 International conference on Image Processing and Media Computing, ICIPMC 2022

作者： He, Yuqiang Xia, Yinfeng Zu, Xuan Li, Yang Yin, Baoqun University of Science and Technology of China Department of Automation Hefei China

ISBN: (数字)9781665468725

ISBN: (纸本)9781665468725

Crowd counting is generally a pixel-wise regression task and owns the broad application prospects. In order to generate high-quality density maps, recent remarkable works mostly adopt the long skip connection or encoder-decoder architectures which aggregate features via the step-by-step upsampling operations and direct contextual information fusion. Despite the great achievements, the researchers would ignore the negative effects of feature alignment and semantic imbalance caused by the above architectures. Faced with the mentioned problem, we propose a deep architecture called Feature Refinement network (FRNet) for crowd counting. Our FRNet is composed of two major schemes: the Inter-dimensional Refinement Module (IRM) and the Semantic Refinement Module (SRM). In particular, the IRM attempts to explore the discriminative triple attention and the transformation point offsets to jointly repair the serious spatial dislocation between adjacent features and enhance the description ability. Meanwhile, the SRM explicitly learns the semantic interdependence within features of diverse levels to relieve the semantic imbalance caused by the rough context fusion. Finally, extensive experiments are conducted on multiple crowd counting datasets, the ShanghaiTech, the UCF-QNRF, the NWPU-Crowd, the JHU-CROWD++. The results have indicated the superior performance of our FRNet against the state-of-the-art methods. © 2022 ieee.

关键词： Semantics

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Efficient hard real-time implementation of CNNs on multi-core architectures

Efficient hard real-time implementation of CNNs on multi-cor...

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ieee Annual International Computer Software and Applications conference (COMPSAC)

作者： Jonas Peeck Robin Hapka Rolf Ernst Institute of Computer and Network Engineering TU Braunschweig Braunschweig Germany

Autonomous driving applications rely on processing large amounts of data in order to ensure sufficient perception performance. In this context, Convolutional Neuronal networks (CNNs), which are used for object detection in camera images, are an integral part of sensor data processing. However, safety-related hard deadlines are counteracted by the required high data rates that stress the platform w.r.t. memory interference. Providing high camera frame rates under hard latency requirements is still an open issue. In a case study focusing on high-performance multi-core architectures, we evaluate in detail the advantages of a private L2 and shared L3 cache architecture for CNN processing and show how to remove malicious data synchronization effects. In this context we deploy MobileNet as well as YOLO on an Intel i5 processor and demonstrate their applicability to a worst-case design under high CNN frame rates. Last, we provide a heuristic optimization scheme that is able to efficiently find feasible high frame rate configurations. Contrary to common assumptions, our results show that high-performance multi-core COTS platforms are suitable for the application of CNNs even under hard deadline constraints and, hence, offer substantial gains in cost and productivity due to their greater ease of programming.

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Design of a 5G network Slicing Architecture for Mixed-Critical Services in Cellular Energy Systems

Design of a 5G Network Slicing Architecture for Mixed-Critic...

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2022 ieee International conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2022

作者： Overbeck, Dennis Kurtz, Fabian Bocker, Stefan Wietfeld, Christian Communication Networks Institute Tu Dortmund University Dortmund44227 Germany

ISBN: (数字)9781665432542

ISBN: (纸本)9781665432542

The shift towards renewable energies is increasing communication demands, particularly in novel energy grid architectures. One such approach is the concept of cellular energy systems, which divide the grid into regions with the potential to operate independently. Management of the resulting energy flows between and within cells is highly complex. Thus communication becomes increasingly challenging. A promising method for handling the resulting mixed-critical data flows is the fifth generation of mobile radio networks, i.e., 5G. It enables reliable communication in public and private infrastructures via network slicing. Here, a single physical network is split up into multiple slices, each addressing the requirements of various services and devices optimally. This enables cost-efficient communications based on widely available Information and Communications Technology (ICT) infrastructures. In this work we provide an integrated architecture as well as a physical cellular energy system testing setup. This is supported by an open-source 4G/5G software stack and gateways for handling mixed-critical grid communications. The physical testbed is located at the Smart Grid Technology Lab (SGTL) at TU Dortmund university and enables real-world analysis of relevant scenarios. Results illustrate the capabilities of Radio Access network (RAN) network slicing and provide insights on deploying dedicated mobile radio networks in cellular energy systems with mixed-critical services. © 2022 ieee.

关键词： 5G mobile communication systems

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A View of the 5G network in Iasi City for Automotive 26

A View of the 5G Network in Iasi City for Automotive

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26th International conference on System Theory, Control and Computing (ICSTCC)

作者： Mihalcea, Marius-Alex Pascal, Carlos Alupoaei, Sebastian-Ioan Gheorghe Asachi Tech Univ Iasi Dept Automat Control & Appl Informat Iasi Romania

ISBN: (数字)9781665467469

ISBN: (纸本)9781665467469

In cities, mobile communication has the ground for smart collaborative traffic applications. 5G architectures open, as known, the digital engagement among devices. Thus, this research shows the current state of the cellular network implemented in Iasi city considering a 5G module into a public transport vehicle. The proposed methods for data acquisition, processing, and visualization, illustrate results that highlight zonal/road characteristics favorable or not for V2X communications. Essentially, a GPS data correction solution stands and allows behavior isolation of the vehicle in the traffic. This approach can be used to measure over time the LTE and 5G systems.

关键词： 5G NSA cellular network GPS handover

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Multi-Objective Optimization of open RAN Data Center Placement for Enhanced 5G Deployments

Multi-Objective Optimization of Open RAN Data Center Placeme...

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ieee conference on network Function Virtualization and Software Defined networks (NFV-SDN)

作者： Daniel R. de Luna Fuad M. Abinader Paulo Ricardo Branco Da Silva Michel Bernado de Paiva Vicente A. de Sousa Augusto J. Venâncio Neto Federal University of Rio Grande do Norte (UFRN) Natal Brasil Centro de Pesquisa e Desenvolvimento em Telecomunicações (CPQD) Campinas Brazil

ISBN: (数字)9798350380538

ISBN: (纸本)9798350380545

This paper tackles the optimization of placement and quantity of open RAN Data Centers (ODCs) for hosting virtualized open Distributed Units (O-DUs) in 5G NR networks, promoting flexible and scalable SDN architectures. Utilizing a Multi-Objective Facility Location Problem (MO-FLP) framework, we aim to minimize infrastructure costs related to network function virtualization (NFV) while meeting strict fronthaul latency and processing capacity requirements. Our method employs Non-dominated Sorting Genetic Algorithms (NSGA-II) to manage these trade-offs, achieving significant cost-efficiency and network performance gains through extensive city-wide 5G NR deployment simulations. We validated our approach in Natal and Manaus, evaluating ODC locations, capacities, and fiber usage. This study offers new insights and practical strategies for efficient 5G NR deployments, addressing key challenges in modern telecommunications infrastructure.

关键词： Data centers Costs 5G mobile communication Urban areas open RAN Optical fiber networks network function virtualization Telecommunications Optimization Genetic algorithms

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Intelligent Identification of Fake Accounts on Social Media 30

Intelligent Identification of Fake Accounts on Social Media

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30th conference of open-Innovations-Association (FRUCT)

作者： Stolbova, Anastasia Ganeev, Rustam Ivaschenko, Anton Samara Natl Res Univ Samara Russia Samara State Tech Univ Samara Russia

ISBN: (纸本)9789526924465

The paper presents an original research of fake accounts on social media using an artificial neural network for their identification. Specifically designed and implemented application was used to identify specific features of fake accounts and study the principles and reasons of their generation. Considering the possible use cases and scenarios of its practical use including everyday social media surfing there was examined a possibility to implement a mobile application based on Java in the Android Studio programming environment. Based on the study of 500 real and 500 fake VKontakte accounts there was determined a number of conclusions on the original features of fake accounts. The provided research allowed extending the list of criteria for identifying fake accounts by an original set of patterns. The developed conclusions allow formulating the statements on what criteria can be used for further identification of fake accounts in practical applications.

关键词： Technological innovation Java Social networking (online) Artificial neural networks Multilayer perceptrons Mobile applications programming environments

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An Analysis of Methods for Processing Large Numbers of Unstructured Data 1

An Analysis of Methods for Processing Large Numbers of Unstr...

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1st International conference on Futuristic Technologies, INCOFT 2022

作者： Suresh Kumar, N. Raju Galgotias University Department of Computer Science and Engineering Uttar Pradesh Greater Noida India Uttar Pradesh Greater Noida India

ISBN: (纸本)9781665450461

The described analytical tools were already fully functioning in 2018, and they are continually being enhanced. The article discusses one tool's potential for use in public support institutions. The case study of the technology trend for electric cars presents techniques for recognizing and diagnosing technological trends. Modern analytical methods must be used for effective programming of research and development (R&D) funding, calibrated to the real potential of beneficiaries. These semi-structured or unstructured formless data make searching and analysis difficult. This study provided an overview of the numerous documents and data that make up the unstructured data that is the foundation of predictive analysis. Only unstructured data occurs in information service systems without databases. The majority of information resources now provide consumers a variety of unstructured formats in addition to structured data. Data source will be the object of this article, which will also examine relevant information processing technologies, integrate it into complex network architectures, and examine how to create multi-type networks to fully utilize unstructured data. © 2022 ieee.

关键词： network architecture

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