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A 2-channel time-to-digital converter with 20-ps resolution for pico-second timing application 11

A 2-channel time-to-digital converter with 20-ps resolution ...

引用

11th IEEE Global Conference on Consumer Electronics, GCCE 2022

作者： Du, Zhouji Ke, Qin Yu, Hang Li, Yan Ge, Binjie Yong, Shanshan Cheng, Yonghong Shenzhen Laboratory of IC Design for IOT College of Computer Science and Software Engineering Shenzhen University Shenzhen China Shenzhen Lab. of IC Design for IOT College of CS & SE Shenzhen University Shenzhen China Dept. of Electronics and Computer Engineering SHENZHEN MCU-BIT University Shenzhen China Peking University Shenzhen Graduate School Shenzhen China Hubble Sensor Solution Shenzhen Co. LTD Shenzhen China

ISBN: (纸本)9781665492324

Time-to-Digital Converter (TDC) provides picosecond accuracy timing and is widely used in many applications such as Light Detection and Ranging (LIDAR), 3-D vision, and ultrasonic flow sensors. This paper introduces a 2-channel TDC with two-level resolution control architecture. designed in a 180 nm CMOS process, the TDC occupies an area of 2.3 mm ×1.3 mm and achieves 20 ps resolution at 2 Msps measurement rate. © 2022 IEEE.

关键词： Frequency converters

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A Configurable Architecture for a Visual Saliency System and Its Application in Retail

A Configurable Architecture for a Visual Saliency System and...

引用

Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Nandhini Chandramoorthy Siddarth Advani Kevin M. Irick Vijaykrishnan Narayanan Microsystems Design Lab (MDL) Department of Computer Science & Engineering Pennsylvania State University University Park PA USA

Summary form only given. The objective of this paper is to present a configurable architecture for a visual saliency model based on AIM. It presents algorithmic enhancements to AIM that facilitates the design of a performance-efficient hardware architecture that offers tradeoffs between accuracy, resource utilization and latency. The AIM computational model involves (1) extraction of a set of coefficient features for each local patch in an image, (2) estimation of probability density for each coefficient with respect to its local surround, (3) computation of their product to give a joint likelihood and (4) computation of the self information of each pixel from its log likelihood. Calculation of likelihood with respect to each pixel individually in a local surround is computationally expensive. It proposes to approximate the contribution of pixels in the surround in terms of “cells” grouped further into “support zones”, whose widths are configurable. This approximation leads to nearly a 10x reduction in the number of multipliers, a critical resource, for a 41x41 surround size.

关键词： computer architecture Microprocessors Visualization Computational modeling Pipelines Feature extraction Routing

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Data Reconstruction from Gradient Updates in Federated Learning 4th

Data Reconstruction from Gradient Updates in Federated Lea...

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4th International Conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Zhang, Xiaoxue Li, Junhao Zhang, Jianjie Yan, Jijie Zhu, Enmin Chen, Kongyang School of Computer Science and Cyber Engineering Guangzhou University Guangzhou China Institute of Artificial Intelligence and Blockchain Guangzhou University Guangzhou China Pazhou Lab Guangzhou China Jiangsu Key Laboratory of Media Design and Software Technology Jiangnan University Wuxi China

ISBN: (纸本)9783031200953

Federated learning has become an emerging technology to protect data privacy in the distributed learning area, by keeping each client user’s data locally. However, recent work shows that client users’ data might still be stolen (or reconstructed) directly from gradient updates. After exploring the attack and defense techniques of these data reconstruction methods, we discover that the attacker cannot steal the victim’s data unless it has prior knowledge about the victim’s data size. Thus, the attacker can hardly reconstruct any useful information without these prior knowledge. In this paper, we provide a novel data reconstruction method to obtain a high-dimensional compressed data from the gradient updates, without these prior knowledge. Experiment results show that our reconstructed data can be used to attack the model, with high attack accuracy. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data privacy

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Attention-Enhanced Lightweight Hourglass Network for Human Pose Estimation

Attention-Enhanced Lightweight Hourglass Network for Human P...

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2024 Australasian Conference on Robotics and Automation, ACRA 2024

作者： Kappan, Marsha Mariya Sandoval, Eduardo Benitez Meijering, Erik Cruz, Francisco School of Computer Science and Engineering University of New South Wales Sydney Australia School of Art and Design Creative Robotics Lab. University of New South Wales Sydney Australia Escuela de Ingeniería Universidad Central de Chile Santiago Chile

Pose estimation is a critical task in computer vision with a wide range of applications from activity monitoring to human-robot interaction. However, most of the existing methods are computationally expensive or have complex architecture. Here we propose a lightweight attention based pose estimation network that utilizes depthwise separable convolution and Convolutional Block Attention Module on an hourglass backbone. The network significantly reduces the computational complexity (floating point operations) and the model size (number of parameters) containing only about 10% of parameters of original eight stack Hourglass network. Experiments were conducted on COCO and MPII datasets using a two stack hourglass backbone. The results showed that our model performs well in comparison to six other lightweight pose estimation models with an average precision of 72.07. The model achieves this performance with only 2.3M parameters and 3.7G FLOPs. © 2024 Australasian Robotics and Automation Association. All rights reserved.

关键词： Convolution

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Data Leakage with label Reconstruction in Distributed Learning Environments 1

引用

4th International Conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Zhang, Xiaoxue Zhou, Xiuhua Chen, Kongyang School of Computer Science and Cyber Engineering Guangzhou University Guangzhou China Institute of Artificial Intelligence and Blockchain Guangzhou University Guangzhou China Pazhou Lab Guangzhou China Jiangsu Key Laboratory of Media Design and Software Technology Jiangnan University Wuxi China

ISBN: (数字)9783031200960

ISBN: (纸本)9783031200953

Distributed learning is commonly applied for the high demands of computation resources while training models with large-scale data. However, existing solutions revealed that it may lead to information leakage of private data. Attackers are able to reconstruct data via minimizing the difference between shared gradients and fake gradients that are produced by themselves. This is so-called data leakage attack from gradients. We find that, in many cases, such attack can only obtain random noises or extreme fuzzy information, which are quite different from the raw data. To deal with this problem, we exploit the gradient updates as well as their labels during the parameter-server training, and discover significant information losses during the label coding. Thus, in our method, we reconstruct the labels of samples with a fine-grained method, and we recover the raw inputs with these processed labels. We test our method on different datasets (i.e. CIFAR100 dataset and solid color images) and obtained the reconstructed results which are obviously clearer than the ones of the state-of-the-arts. The results prove the effectiveness of our algorithm in fixing defects to some extent as well. Extensive experiments are also conducted to explore defense strategies against data leakage. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data privacy

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design contest overview: Combined architecture for network stream categorization and intrusion detection (CANSCID) 10

Design contest overview: Combined architecture for network s...

引用

Proceedings of the Eighth ACM/IEEE International Conference on Formal Methods and Models for Codesign

作者： Pellauer, Michael Agarwal, Abhinav Khan, Asif Ng, Man Cheuk Vijayaraghavan, Muralidaran Brewery, Forrest Emer, Joel Massachusetts Institute of Technology Computation Structures Group Computer Science and AI Lab. Cambridge MA United States University of California Santa Barbara High Level Design Group Electrical and Computer Engineering Santa Barbara CA United States Intel Corporation VSSAD Group Hudson MA United States

ISBN: (纸本)9781424478859

This year we received 8 submissions for our Deep Packet Inspection problem. 6 submissions used FPGAs, and 2 used GP-GPUs. The organizers find it significant that no team submitted a software-only solution that did not use some kind of hardware accelerator an indication that software alone could not meet the required line rate. This year the contest ended in a tie. Congratulations to the joint winners, Team Sasao lab and Team Limenators, each having implemented 140 patterns while maintaining line rate. Additionally, Team Sasao lab was the only team to use an NFA approach rather than DFAs for matching the regular expressions. Full results are given in Table II. The performance of the two winners was verified by the organizers using undisclosed test inputs. The performance of the other teams is self-reported. © 2010 IEEE.

关键词： Intrusion detection

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VORTEX: design and implementation of an interactive volumetric display

VORTEX: Design and implementation of an interactive volumetr...

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作者： Karnik, Abhijit Sakurai, Satoshi Henderson, Archie Herrmann, Guido Dean, Andrew Izadi, Shahram Pang, Howard Kitamura, Yoshifumi Campbell, Thomas Subramanian, Sriram Dept. of Computer Science University of Bristol United Kingdom Human Interface Engineering Lab. Osaka University Japan Dept. of Mechanical Engg. University of Bristol United Kingdom Microsoft Research Cambridge United Kingdom Interactive Content Design Lab. Tohoku University Japan

ISBN: (纸本)9781450302289

True 3D display systems like volumetric displays allow generation of autostereoscopic, multi-view 3D content that has real physical dimensions. However their uptake as a research tool within the HCI community is limited largely due to difficulties in buying or building such displays. The choice of commercially available systems is limited and constrains the flexibility of their use in terms of interaction capabilities, display features and integration with multi-display environments (MDEs). In this paper we describe the steps involved in creating custom volumetric display from easily available components. By building a touch-enabled volumetric display we walk-through the steps involved in the process. This will enable us to explore various interactive systems, associated techniques and challenges related to integration of the device into a MDE.

关键词： Three dimensional displays

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Transformation from System design Models in SysML to Executable IEC 61499 Function Block Models 6

Transformation from System Design Models in SysML to Executa...

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6th International Conference on Control, Robotics and Cybernetics, CRC 2021

作者： Cao, Yue Liu, Yusheng Huang, Bo Huang, Ganming Ye, Xiaoping Zhejiang University of Technology College of Computer Science and Technology Hangzhou China Zhejiang University State Key Lab. of CADCG Hangzhou China Digital Twin Shanghai Key Laboratory of Aircraft Engine China Lishui University College of Engineering and Design Lishui China

ISBN: (纸本)9781665424370

designing automation systems requires a joint effort from different domains including the control software and controlled plants. System design is the foundation of the discipline-specific design processes and hence its verification is critical to the success of the whole project. Transforming system design models to simulation models is a common method for system verification. IEC 61499 Function Block (FB) is a feasible target simulation modeling language because of its executable specification nature. However, existing approaches can only generate initial control design from SysML models, which means the generated FB models are not executable. In this study, an approach to transform SysML design models into executable FB models is proposed. First, the execution semantics of hybrid automaton (HA) and execution control chart (ECC), which are the behavior modeling formalisms of SysML and IEC 61499, respectively is analyzed. Then, their semantic similarities and differences are identified. Finally, transformation rules to tackle the semantic differences are proposed so that the missing execution details of FB models can be automatically generated. A CNC bending machine is used as a case study to illustrate the proposed approach. © 2021 IEEE.

关键词： Systems analysis

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design4Health bootcamp: A design thinking approach to improve the 21stcentury skills of health, engineering and design students

Design4Health bootcamp: A design thinking approach to improv...

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2020 Advances in science and engineering Technology International Conferences, ASET 2020

作者： Boillat, Thomas Tuffnell, Christopher Rivas, Homero Aloul, Fadi Montana, Carlos Design Lab Mohammed Bin Rashid University of Medicine and Health Sciences Dubai United Arab Emirates Mohammed Bin Rashid University of Medicine and Health Sciences Dubai United Arab Emirates Computer Science Engineering American University of Sharjah Sharjah United Arab Emirates Dubai Institute of Design and Innovation Dubai United Arab Emirates

ISBN: (纸本)9781728146409

Global industries are acknowledging that professions as we know them will not require the same skills as they did in the 20th Century. Therefore how can universities prepare students for challenges that have not been fully identified? This paper will present the design4Health Bootcamp, an initiative that intends to close the so-called '21st century skills gap'. We present its course curriculum, quantitative and qualitative evaluation and conclude with a set of principles that support the implementation of such initiatives. © 2020 IEEE.

关键词： Students

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SSTKR: Secure and Testable Scan design through Test Key Randomization

SSTKR: Secure and Testable Scan Design through Test Key Rand...

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Asian Test Symposium (ATS)

作者： Mohammed Abdul Razzaq Virendra Singh Adit Singh Computer Design and Test Lab Indian Institute of Science Bangalore India Department of Electrical Engineering Aubum University Auburn USA

Scan test is the standard method, practiced by industry, that has consistently provided high fault coverage due to high controllability and high observability. The scan chain allows to control and observe the internal signals of a chip. However, this property also facilitates hackers to use scan architecture as a means to breach chip security. This paper addresses this issue by proposing a new method called Secure and testable Scan design through Test Key Randomization(SSTKR). SSTKR is a key based method to prevent hackers from stealing secret information. Linear Feedback Shift Register (LFSR) is used to generate authentication keys to be embedded in test vectors. Unique key is used for every test vector which prevents scan based side channel attacks effectively. Any attempt to steal secret information will lead to a randomized response. SSTKR has very low area and test time overhead without performance penalty. Our approach also facilitates in-field test of the chip.

关键词： Vectors Authentication computer hacking Testing Logic gates Observability

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