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Anti-Interference Low-Power Double-Edge Triggered Flip-Flop Based on C-Elements

Tsinghua science and Technology 2022年第1期27卷 1-12页

作者： Zhengfeng Huang Xiao Yang Tai Song Haochen Qi Yiming Ouyang Tianming Ni Qi Xu School of Electronic Science and Applied Physics Hefei University of TechnologyHefei 230601China School of Computer and Information Hefei University of TechnologyHefei 230601China School of Electrical Engineering Anhui Polytechnic UniversityWuhu 241000China

When the input signal has been interfered and glitches occur,the power consumption of Double-Edge Triggered Flip-Flops(DETFFs)will significantly *** effectively reduce the power consumption,this paper presents an anti-interference low-power DETFF based on *** improved C-element is used in this DETFF,which effectively blocks the glitches in the input signal,prevents redundant transitions inside the DETFF,and reduces the charge and discharge frequencies of the *** C-element has also added pull-up and pull-down paths,reducing its *** with other existing DETFFs,the DETFF proposed in this paper only flips once on the clock edge,which greatly reduces the redundant transitions caused by glitches and effectively reduces power *** paper uses HSPICE to simulate the proposed DETFF and other 10 *** findings show that compared with the other 10 types of DETFFs,the proposed DETFF has achieved large performance indexes in the total power consumption,total power consumption with glitches,delays,and power delay product.A detailed analysis of variance indicates that the proposed DETFF features less sensitivity to process,voltage,temperature,and Negative Bias Temperature Instability(NBTI)-induced aging variations.

关键词： Double-Edge Triggered Flip-Flop(DETFF) glitch low-power C-element

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WHAT-IF SCENARIO ANALYSIS OF REGIONAL AIR MOBILITY OPERATIONS IN SOUTH KOREA 34th

WHAT-IF SCENARIO ANALYSIS OF REGIONAL AIR MOBILITY OPERATION...

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34th Congress of the International Council of the Aeronautical sciences, ICAS 2024

作者： Lee, Juchan Kim, Seulki Ahn, Sumin Kim, Junghyun School of Applied Artificial Intelligence Handong Global University Korea Republic of School of Aerospace Engineering Georgia Institute of Technology United States School of Computer Science and Electrical Engineering Handong Global University Korea Republic of School of Aerospace Engineering Sejong University Korea Republic of

With the global emergence of Regional Air Mobility (RAM) as a new transportation concept, the Korean government has recently recognized the growing interest in employing RAM services to enhance regional connectivity within South Korea. This research starts by formulating the following research question: "What are market dynamics associated with the adoption of RAM services in South Korea?" To answer the question, this research proposes a methodology that leverages a data-driven approach incorporating four modules: 1) potential vertiport location identification, 2) trip data preparation, 3) RAM fare and travel time estimations, and 4) market share estimation. Utilizing the modules, this research conducts what-if scenario analysis on five transportation scenarios across potential origin-destination pairs and estimates market shares for different transportation modes to assess feasibility and competitiveness related to the RAM services as a new transportation system. The main contribution of this research is to establish a basis for uncovering market dynamics of the upcoming RAM operations in South Korea and to provide insights for stakeholders, policymakers, and researchers prior to the actual implementation of the RAM services in South Korea. © 2024, International Council of the Aeronautical sciences. All rights reserved.

关键词： Market Research

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PCA Lab's solution for RePSS 2024 by vision-based self-supervised remote heart rate sensing 3

PCA Lab's solution for RePSS 2024 by vision-based self-super...

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3rd Vision-Based Remote Physiological Signal Sensing Challenge and Workshop, RePSS 2024

作者： Shao, Hang Luo, Lei Qian, Jianjun Zhuo, Wei Hu, Chuanfei Yang, Jian PCA Lab School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China School of Automation Southeast University Nanjing211189 China Nanjing Center for Applied Mathematics Nanjing211135 China

Vision-based remote non-contact physiological measurements are crucial for detecting indicators (such as heart rate and blood pressure) that reflect important vital signs. This paper introduces the approach proposed by PCA Lab in the third challenge on Vision-based Remote Physiological Signal Sensing (RePSS) organized within IJCAI 2024. Specifically, we design an end-to-end self-supervised contrastive learning network for remote heart rate detection, which can generalize light reflection changes caused by cardiac activity in subcutaneous capillaries based on unlabeled facial videos. At the same time, we optimize the facial skin region of interest extraction method and remove most of the irrelevant content and redundant information. In addition, we construct the hybrid pipeline temporal attention module and spatiotemporal reconstruction pretraining paradigm to improve the network's ability to model long-distance sequence features. Our network is tested on 1000 samples from 200 participants provided by the Track 1 of this challenge, and it achieve the root mean squared error of 8.96941. The codes and model are publicly available at https://***/Sachiel0916/repss-track1-top3/. © 2024 Copyright for this paper by its authors.

关键词： contrastive learning remote heart rate sensing RePSS self-supervision framework spatiotemporal reconstruction

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FPGA Implementation of High-Capacity SD Card using VHDL Language 21

FPGA Implementation of High-Capacity SD Card using VHDL Lang...

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21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

作者： Taha, Taha Basheer Ngadiran, Ruzelita Ehkan, Phaklen College of Applied Science Tishk International University Information Technology Department Erbil Iraq School of Computer and Communication Engineering Universiti Malaysia Perlis Perlis Malaysia

ISBN: (纸本)9798350374131

Limitations in capacity of internal memory chips on embedded systems lead to the usage of external memories especially when processing large amount of data as images or videos. FPGAs as embedded system devices used in different signal processing applications require extra memory for data storage. Current attempts in programming Secure Digital (SD) cards as external memories attached to FPGAs came with utilization of aiding application or of shelf tools which consumes large amount of chip clock cycles and reduce the overall performance. In this paper, a hardware implementation of SD card programming is presented by using pure and standalone VHDL code with high programming flexibility. In addition, High-Capacity SD cards (SDHC) are implemented for maximum storage capacity to handle large amount of data. © 2024 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Load Balancing in Cloud Computing based on Ant Colony Optimization and Crow Search Algorithm 27

Load Balancing in Cloud Computing based on Ant Colony Optimi...

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27th International Conference on Advanced Communications Technology, ICACT 2025

作者： Alsheavi, Amar N. Wang, Xingfu Zhao, Wei Hawbani, Ammar Alhusaini, Naji Ahmed, Ibrahim Abdulrab Ismail, A.S. School of Computer Science and Technology University of Science and Technology of China Anhui Hefei230027 China School of Computer Science and Technology Anhui University of Technology Anhui China School of Computer Science Shenyang Aerospace University Shenyang110136 China School of Computer and Information Engineering Chuzhou University Anhui Chuzhou239000 China Computer Department Applied College Najran University Najran66462 Saudi Arabia College of Life Sciences and Oceanography Shenzhen University Shenzhen518060 China Faculty of Science Zagazig University Zagazig44519 Egypt

ISBN: (纸本)9791188428137

With the rapid increase in cloud services and the increasing shift toward them, balancing the cloud load has become a critical research issue. The increasing demand from customers for technology services worldwide is largely due to its direct impact on performance quality. Therefore, to provide better service quality, it is essential to consider reducing response time and cost in load balancing. This paper addresses the load-balancing problem by optimizing response time and computing cost in cloud computing systems. Specifically, we first formulated the load balancing problem in cloud computing mathematically by designing an objective function that optimizes response time and cost, including constraints to ensure task assignment to a single virtual machine (VM) and resource limits are not exceeded. To solve this optimization problem, we proposed a hybrid algorithm, ACOCSA, that combines Ant Colony Optimization (ACO) and Crow Search Algorithm (CSA). We implemented the ACOCSA algorithm, evaluated the response time, cost, and load balancing metrics, and found that our algorithm performed better in terms of response time and computational cost, and showed good fairness among VMs. © 2025 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Ant colony optimization

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Low-Degree Testing over Grids 26

Low-Degree Testing over Grids

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26th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2023 and the 27th International Conference on Randomization and Computation, RANDOM 2023

作者： Amireddy, Prashanth Srinivasan, Srikanth Sudan, Madhu School of Engineering and Applied Sciences Harvard University CambridgeMA United States Department of Computer Science Aarhus University Denmark

ISBN: (纸本)9783959772969

We study the question of local testability of low (constant) degree functions from a product domain S1 × · · · × Sn to a field F, where Si ⊆ F can be arbitrary constant sized sets. We show that this family is locally testable when the grid is "symmetric". That is, if Si = S for all i, there is a probabilistic algorithm using constantly many queries that distinguishes whether f has a polynomial representation of degree at most d or is Ω(1)-far from having this property. In contrast, we show that there exist asymmetric grids with |S1| = · · · = |Sn| = 3 for which testing requires ωn(1) queries, thereby establishing that even in the context of polynomials, local testing depends on the structure of the domain and not just the distance of the underlying code. The low-degree testing problem has been studied extensively over the years and a wide variety of tools have been applied to propose and analyze tests. Our work introduces yet another new connection in this rich field, by building low-degree tests out of tests for "junta-degrees". A function f : S1 × · · · × Sn → G, for an abelian group G is said to be a junta-degree-d function if it is a sum of d-juntas. We derive our low-degree test by giving a new local test for junta-degree-d functions. For the analysis of our tests, we deduce a small-set expansion theorem for spherical/hamming noise over large grids, which may be of independent interest. © 2023 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.

关键词： Group theory

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Secure Watermarking Scheme for Color DICOM Images in Telemedicine Applications

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computers, Materials & Continua 2022年第2期70卷 2525-2542页

作者： Kamred Udham Singh Hatem Salem Abu-Hamatta Abhishek Kumar Achintya Singhal Mamoon Rashid A.K.Bashir Department of Computer Science and Information Engineering National Cheng Kung UniversityTainanTaiwan Department of Applied Sciences Aqaba University CollegeAl Balqa Applied UniversityAqabaJordan School of Computer Science&IT JAIN(to be Deemed University)BangaloreIndia Department of Computer Science Banaras Hindu UniversityVaranasiIndia Department of Computer Engineering Faculty of Science and TechnologyVishwakarma UniversityPune411048India Department of Computing and Mathematics ManchesterMetropolitan UniversityUK

Teleradiology plays a vital role in the medical field,which permits transmitting medical and imaging data over a communication *** ensures data reliability and provides convenient communication for clinical interpretation and diagnostic *** transmission of this medical data over a network raises the problems of legal,ethical issues,privacy,and copyright *** copyright protection of medical images is a significant issue in the medical *** schemes are used to address these issues.A gray-level or binary image is used as a watermark frequently in color image watermarking *** this paper,the authors propose a novel non-blind medical image watermarking scheme based on 2-D LiftingWavelet Transform(LWT),Multiresolution Singular Value Decomposition(MSVD),and LU factorization to improve the robustness and authenticity of medical *** this scheme,multiple color watermarks are embedded into the colored DICOM(Digital Imaging and Communications inMedicine)images obtained from Color Doppler images(DICOM format),and the average results achieved by our proposed scheme is 46.84 db for Peak Signal-to-Noise Ratio(PSNR),37.46 db for Signal-to-Noise Ratio(SNR),0.99 for Quality of Image and 0.998 for Normalized Correlation for various image processing *** results make our watermarking technique an ideal candidate for medical image watermarking.

关键词： Digital imaging medicine multiresolution medical image watermarking

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Data science based Recommendation System - An Application of computer science 14

Data Science based Recommendation System - An Application of...

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14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023

作者： Khan, Zeba Rahman, Abdul Applied College Jazan University Department of Computer and Information System Jazan Saudi Arabia Presidency University School of Computer Science and Engineering & Information Science Rajanukunte Yelahanka Bangalore India

Recommender system (RS) has emanated as the most popular application of e-commerce websites. In the e-commerce business, collaborative filtering based RS systems suggest products to the customers and find the interesting things for the users which they may wish to purchase. The success rate of any recommendation system depends upon, information reliability as well as expression of daily life behavior in the consolidated format. The main task is to produce the best ranked list of ‘n-number’ of items for the user’s need. Due to the natural structure, Z-Numbers are more consistent to producing a recommendation list. To solve real life problem, Z-Numbers should be incorporated into decision-making models. However, Online shopping involved multicriteria group decision-making (MCGDM). Z-information persisting some difficulties with MCGDM. Therefore, to enhancing the ability of Z-numbers Complex Fuzzy Sets (CFSs), are employed. Besides this entropy, distance measure, and aggregation operator are combined to produced MCGDM based ranking of customer preference. © Grenze Scientific Society, 2023.

关键词： Recommender systems

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Empowering Donors: How Blockchain Technology Can Help Ensure Their Contributions Reach the Right Recipients 2

Empowering Donors: How Blockchain Technology Can Help Ensure...

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2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023

作者： Ajmal, Sahar Muzammil, Muteeb Bin Shoaib, Muhammad Mehmood, Muhammad Hassaan National University of Computer and Emmerging Sciences Department of Software Engineering Faisalabad Pakistan Riphah International University College of Computing Faisalabad Pakistan University of Engineering and Technology Department of Computer Science Lahore Pakistan School of Computer Science NCBA&E Lahore Pakistan Applied School Research Center Applied Science Private University Amman11937 Jordan

ISBN: (纸本)9798350335644

Charity giving is a fundamental aspect of society, but there are concerns about the accountability and transparency of the donation process. Blockchain technology has emerged as a potential solution, offering a secure and auditable platform for managing charitable contributions. In this paper, we explore the concept of empowering donors through blockchain technology and examine how it can help ensure that contributions reach the right recipients. We review existing literature on the topic and identify key areas for future research, including the development of hybrid blockchain solutions along with the implementation of novel consensus mechanisms. Moreover, providing the idea of decentralized autonomous organizations, self-executing smart contracts, and integration of blockchain with artificial intelligence and Internet of things. By providing a comprehensive overview of the current state of the field and outlining a roadmap for future research, we hope to stimulate further exploration of the potential of blockchain technology to revolutionize charity giving, and create a more accountable and transparent system for managing charitable funds. Some research questions are designed for each novel idea. Our analysis suggests that blockchain has the potential to empower donors and ensure that their contributions make a positive impact in the world, but further research is needed to fully realize its potential. © 2023 IEEE.

关键词： Transparency

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An Attention Mechanism Based AVOD Network for 3D Vehicle Detection

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2023年 1-13页

作者： Yuan, Di Zhang, Haiping Shu, Xiu Liu, Qiao Chang, Xiaojun He, Zhenyu Shi, Guangming Guangzhou Institute of Technology Xidian University Xian China School of Computer Science and Cyber Engineering Guangzhou University Guangzhou China National Center for Applied Mathematics Chongqing Normal University Chongqing China Faculty of Engineering and Information Technology University of Technology Sydney Broadway New South Wales Australia School of Computer Science and Technology Harbin Institute of Technology Shenzhen China

With the continuous advancement of autonomous driving technology, 3D vehicle detection has become of widespread interest. The traditional aggregate view object detection (AVOD) framework has achieved some good results in 3D vehicle detection tasks. However, the complexity of the 3D vehicle detection scenario makes the current detection methods still not meet the actual requirements. To enhance the detection accuracy of 3D vehicle targets, we propose to equip an attention mechanism to improve the representation capability of feature maps, thereby further increasing the precision of 3D vehicle detection. Specifically, we have added the channel attention ECANet, spatial attention SANet, and mixed attention ECANet+SANet respectively into the image-based feature pyramid network of the AVOD detection framework, which can enhance the feature maps representation and improve the detection accuracy observably. The improved AVOD network is verified using the KITTI dataset. By showing the detection results of these attention mechanisms, it is found that the feature pyramid networks (FPN) module in the AVOD network based on Image has the best performance when integrating a mixed attention mechanism. In comparison to the original AVOD network, the detection results on the average precision index of the proposed method have improved by 2.29%, 2.81%, and 1.32% in the three indexes of simple, medium, and difficult, respectively. Extensive experiments have confirmed the practicality and efficacy of the AVOD network to equip the attention mechanisms for 3D vehicle detection. IEEE

关键词： Semantics

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