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IEEE Workshop on Neural Networks for Signal Processing

作者： J. Kohlmorgen S. Lemm German National Research Center for Information Technology Institute for Computer Architecture and Software Technology GMD FIRSaint IDA Berlin Germany

We present a method for the analysis of non-stationary time series from dynamical systems that switch between multiple operating modes. In contrast to other approaches, our method processes the data incrementally and without any training of internal parameters. It straightaway performs an unsupervised segmentation and classification of the data on-the-fly. In many cases it even allows to process incoming data in real-time. The main idea of the approach is to track and segment changes of the probability density of the data in a sliding window on the incoming data stream. An application to a switching dynamical system demonstrates the potential usefulness of the algorithm in a broad range of applications.

关键词： Switches Time series analysis

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AIoT Bench: Towards Comprehensive Benchmarking Mobile and Embedded Device Intelligence 1st

AIoT Bench: Towards Comprehensive Benchmarking Mobile and Em...

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1st International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018

作者： Luo, Chunjie Zhang, Fan Huang, Cheng Xiong, Xingwang Chen, Jianan Wang, Lei Gao, Wanling Ye, Hainan Wu, Tong Zhou, Runsong Zhan, Jianfeng State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Beijing Academy of Frontier Science and Technology Beijing China Dover United Kingdom China National Institute of Metrology Beijing China China Software Testing Center Beijing China

ISBN: (纸本)9783030328122

Due to increasing amounts of data and compute resources, the deep learning achieves many successes in various domains. Recently, researchers and engineers make effort to apply the intelligent algorithms to the mobile or embedded devices. In this paper, we propose a benchmark suite, AIoT Bench, to evaluate the AI ability of mobile and embedded devices. Our benchmark (1) covers different application domains, e.g. image recognition, speech recognition and natural language processing;(2) covers different platforms, including Android and Raspberry Pi;(3) covers different development frameworks, including TensorFlow and Caffe2;(4) offers both end-to-end application workloads and micro workloads. © 2019, Springer Nature Switzerland AG.

关键词： Benchmarking

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M3-Simulation multidisciplinary simulation of sustainability strategies

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Systems Analysis Modelling Simulation 2003年第9期43卷 1243-1247页

作者： Rosé, Helge GMD German National Research Center for Information Technology Research Institute for Computer Architecture and Software Technology Kekuléstr. 7 D-12489 Berlin Germany

Complex real world systems are currently developing to become a decisive instrument for IT-supported problem solving of a great number of problems posed by science, economy and society. By this, we for the first time face the chance of being able to find new solutions, visions, and strategies for sustainable development on the basis of complex, real world simulations. M3-Simulations is a simulation approach that actively involves man in a simulated world based on scientifically-founded simulation models driven by current data of measurement. This new kind of simulation concept combines reality-based modeling of scientific simulation systems with the intuitive graphic representation, complex communication and interaction structures of virtual worlds in order to support the process of investigation into the possibilities of sustainable development.

关键词： Large scale systems

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Comments on "Analysis of self-stabilizing clock synchronization by means of stochastic Petri nets"

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IEEE Transactions on computers 1994年第12期43卷 1453-1456页

作者： G. Ciardo C. Lindemann Department of Computer Science College of William and Mary Williamsburg VA USA GMD Institute for Computer Architecture and Software Technology (GMD-FIRST) Technische Universitat Berlin Berlin Germany

We point out some errors in the combinatorial approach for the steady-state analysis of a deterministic and stochastic Petri net (DSPN) presented by M. Lu, D. Zhang, and T. Murata (1990). However, the methodology for analyzing the self-stability of fault-tolerant clock synchronisation (FCS) systems introduced in that paper is applicable for FCS systems with many clocking modules, even if the combinatorial approach is not valid. This is due to the progress in improving the efficiency of the DSPN solution algorithm made in recent years. We show that the explicit computation of the steady-state solution of the DSPN can be performed with reasonable computational effort on a modern workstation by the software package DSPNexpress.< >

关键词： Clocks Synchronization Stochastic processes Petri nets Electromagnetic compatibility Stochastic systems Steady-state Fault tolerant systems Probability distribution Performance analysis

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A Virtual Hip Replacement Surgery Simulator with Realistic Haptic Feedback

A Virtual Hip Replacement Surgery Simulator with Realistic H...

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IEEE Annual International Symposium Virtual Reality

作者： Maximilian Kaluschke René Weller Gabriel Zachmann Luigi Pelliccia Mario Lorenz Philipp Klimant Sebastian Knopp Johannes P. G. Atze Falk Möckel University of Bremen Computer Graphics and Virtual Reality IWP Chemnitz University of Technology Fraunhofer Institute for Machine Tools and Forming Technology IWU FAKT Software

We present the first VR training simulator for hip replacement surgeries. We solved the main challenges of this task - high and stable forces during the milling process while simultaneously a very sensitive feedback is required - by using an industrial robot for the force output and the development of a novel massively parallel haptic rendering algorithm with support for material removal.

关键词： Haptic interfaces Surgery Hip Rendering (computer graphics) Training Milling Robots

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Towards memory-efficient processing-in-memory architecture for convolutional neural networks

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ACM SIGPLAN Notices 2017年第5期52卷 81-90页

作者： Wang, Yi Zhang, Mingxu Yang, Jing College of Computer Science and Software Engineering Shenzhen University China Experimental and Innovation Practice Center Harbin Institute of Technology Shenzhen China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China

Convolutional neural networks (CNNs) are widely adopted in artificial intelligent systems. In contrast to conventional computing centric applications, the computational and memory resources of CNN applications are mixed together in the network weights. This incurs a significant amount of data movement, especially for highdimensional convolutions. Although recent embedded 3D-stacked Processing-in-Memory (PIM) architecture alleviates this memory bottleneck to provide fast near-data processing, memory is still a limiting factor of the entire system. An unsolved key challenge is how to efficiently allocate convolutions to 3D-stacked PIM to combine the advantages of both neural and computational processing. This paper presents Memolution, a compiler-based memory efficient data allocation strategy for convolutional neural networks on PIM architecture. Memolution offers thread-level parallelism that can fully exploit the computational power of PIM architecture. The objective is to capture the characteristics of neural network applications and present a hardware-independent design to transparently allocate CNN applications onto the underlining hardware resources provided by PIM. We demonstrate the viability of the proposed technique using a variety of realistic convolutional neural network applications. Our extensive evaluations show that, Memolution significantly improves performance and the cache utilization compared to the baseline scheme. © 2017 ACM.

关键词： Memory architecture

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BEESAT: A Pico Satellite for the On Orbit Verification of Micro Wheels

BEESAT: A Pico Satellite for the On Orbit Verification of Mi...

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International Conference on Recent Advances in Space Technologies (RAST)

作者： Hakan Kayal Frank Baumann Klaus Briess Sergio Montenegro Institute of Aeronautics and Astronautics Department of Astronautics Technical University Berlin Berlin Germany Frauenhofer Institute Computer Architecture and Software Technology Berlin Germany

The Technical University of Berlin has the objective to develop such components, which are not available yet. The first device under development is the so called "micro wheel", which is designed to be used in pico satellites, allowing a precise 3-axis attitude stabilization. The verification of these wheels in space will be done by BEESAT, the first pico satellite of TU Berlin. The main objective of BeeSat is the on orbit verification of newly developed micro wheels for pico satellite applications. These wheels, with the size of a one Euro coin in diameter, supported by DLR (FKZ 50JR0552) and developed in cooperation with Astro-und Feinwerktechnik, will drastically improve the actuation capabilities of pico satellites.

关键词： Wheels Satellite broadcasting Satellite ground stations Cameras Payloads Earth Testing computer architecture software Space technology

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Emotional evaluation of architectural interior forms based on personality differences using virtual reality

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Frontiers of Architectural Research 2020年第1期9卷 138-147页

作者： Maryam Banaei Ali Ahmadi Klaus Gramann Javad Hatami School of Architecture and Environmental Design Iran University of Science and TechnologyTehranIran Faculty of Computer Engineering K.N.Toosi UniversityTehranIran Department of Psychology and Ergonomics Biological Psychology and NeuroergonomicsBerlin Institute of TechnologyBerlinGermany Center for Advanced Neurological Engineering University of CaliforniaSan DiegoCAUSA School of Software University of Technology SydneySydneyAustralia Department of Psychology University of TehranTehranIran

Recent studies have shown that architectural interior forms could impact the affective state of ***,the direct relation of specific forms with specific affective states is difficult to *** addition,no systematic categorization of architectural forms and their relation to emotional states *** investigation of the impact of architectural features on inhabitants'emotions is further complicated by the use of two-dimensional images of forms in laboratory investigations,which cannot perceive real-world ***,the interior form consists of a combination of different forms rather than only pure forms,which was considered in previous *** study aimed to rill these gaps by evaluating interior forms on the basis of clustering different images of built living rooms throughout history as well as their impact on *** study used pleasure,arousal,and dominance ratings with an emphasis on individual differences in *** sample rooms were created based on formal clusters of architectural *** showed a relationship between forms and emotional states for different personality *** work provided a novel approach on the influence of architecture on emotion by considering systematic form categorization and combinations,personality differences,and a virtual reality setup.

关键词： Architectural interior form PAD Self-assessment manikin Personality Virtual reality

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A Lightweight Convolutional Neural Network with Representation Self-challenge for Fingerprint Liveness Detection

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computers, Materials & Continua 2022年第10期73卷 719-733页

作者： Jie Chen Chengsheng Yuan Chen Cui Zhihua Xia Xingming Sun Thangarajah Akilan School of Computer Science Nanjing University of Information Science and TechnologyNanjing210044China Key Laboratory of Public Security Information Application Based on Big-Data Architecture Ministry of Public SecurityZhejiang Police CollegeHangzhou310053China Jiangsu Yuchi Blockchain Research Institute Nanjing210044China Department of Software Engineering Lakehead UniversityThunder BayON P7B 5E1Canada

Fingerprint identification systems have been widely deployed in many occasions of our daily ***,together with many advantages,they are still vulnerable to the presentation attack(PA)by some counterfeit *** address challenges from PA,fingerprint liveness detection(FLD)technology has been proposed and gradually attracted people’s *** vast majority of the FLD methods directly employ convolutional neural network(CNN),and rarely pay attention to the problem of overparameterization and over-fitting of models,resulting in large calculation force of model deployment and poor model *** at filling this gap,this paper designs a lightweight multi-scale convolutional neural network method,and further proposes a novel hybrid spatial pyramid pooling block to extract abundant features,so that the number of model parameters is greatly reduced,and support multi-scale true/fake fingerprint ***,the representation self-challenge(RSC)method is used to train the model,and the attention mechanism is also adopted for optimization during execution,which alleviates the problem of model over-fitting and enhances generalization of detection ***,experimental results on two publicly benchmarks:LivDet2011 and LivDet2013 sets,show that our method achieves outstanding detection results for blind materials and *** size of the model parameters is only 548 KB,and the average detection error of cross-sensors and cross-materials are 15.22 and 1 respectively,reaching the highest level currently available.

关键词： FLD lightweight multi-scale RSC blind materials

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Automating the Management and Versioning of Service Models at Runtime to Support Service Monitoring

Automating the Management and Versioning of Service Models a...

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International Conference on Enterprise Distributed Object Computing (EDOC)

作者： Taid Holmes Uwe Zdun Schahram Dustdar Distributed Systems Group Institute of Information Systems University of Technology Vienna Austria Software Architecture Group Faculty of Computer Science University of Technology Vienna Austria

In a model-driven service-oriented architecture (SOA), the services are in large parts generated from models. To facilitate monitoring, governance, and self-adaptation the information in these models can be used by services that monitor, manage, or adapt the SOA at runtime. If a service for monitoring, management, or adaptation in an SOA is dependent on models, and the metamodel changes, usually the service needs to be manually adapted to work with the new version, recompiled, and redeployed. This manual effort impedes the use of models at runtime. To address this problem, this paper introduces model-aware services that work with models at runtime. These services are supported using a service environment, called Morse. Hiding the complexity of implicit versioning of models from users while respecting the principle of Universally Unique Identifiers (UUIDs), it realizes a novel transparent UUID-based model versioning technique. It uses the model-driven approach to automatically generate and deploy Morse services that are used by the model-aware services to access models in the correct version. In this way, monitoring and adaptation in SOAs can be better supported, and the manual effort to evolve services for monitoring, management, or adaptation, which are based on models at runtime, can be minimized.

关键词： Biological system modeling Adaptation models Unified modeling language Monitoring Runtime Service oriented architecture Manuals

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