Detection method of LDoS attack based on ACK serial number step-length by Zhijun WU, Qingbo PAN, Meng YUE

“…Low-rate denial of service (LDoS) attack is a potential security threat to big data centers and cloud computing platforms because of its strong concealment.Based on the analysis of network traffic during the LDoS attack,statistical analysis was given of ACK packets returned by the data receiver to the sender,and result reveals the sequence number step had the characteristics of volatility during the LDoS attack.The permutation entropy method was adopted to extract the characteristics of volatility.Hence,an LDoS attack detection method based on ACK serial number step permutation entropy was proposed.The serial number was sampled and the step length was calculated through collecting the ACK packets that received at the end of sender.Then,the permutation entropy algorithm with strong time-sensitive was used to detect the mutation step time,and achieve the goal of detecting LDoS attack.A test-bed was designed and built in the actual network environment for the purpose of verifying the proposed approach performance.Experimental results show that the proposed approach has better detection performance and has achieved better detection effect.…”
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Survey of FPGA based recurrent neural network accelerator by Chen GAO, Fan ZHANG

“…Recurrent neural network(RNN) has been used wildly used in machine learning field in recent years,especially in dealing with sequential learning tasks compared with other neural network like CNN.However,RNN and its variants,such as LSTM,GRU and other fully connected networks,have high computational and storage complexity,which makes its inference calculation slow and difficult to be applied in products.On the one hand,traditional computing platforms such as CPU are not suitable for large-scale matrix operation of RNN.On the other hand,the shared memory and global memory of hardware acceleration platform GPU make the power consumption of GPU-based RNN accelerator higher.More and more research has been done on the RNN accelerator of the FPGA in recent years because of its parallel computing and low power consumption performance.An overview of the researches on RNN accelerator based on FPGA in recent years is given.The optimization algorithm of software level and the architecture design of hardware level used in these accelerator are summarized and some future research directions are proposed.…”
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Soil Conservation Benefits of Ecological Programs Promote Sustainable Restoration by Renjie Zong, Nufang Fang, Yi Zeng, Xixi Lu, Zhen Wang, Wei Dai, Zhihua Shi

“…We introduce a framework that integrates the multi‐model approach and scenario analysis on cloud computing platforms to capture the significance of soil conservation benefits by assessing the world's largest restoration programs from China. …”
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Navigating the Challenges and Opportunities of Securing Internet of Autonomous Vehicles With Lightweight Authentication by Hazem Ismail Ali, Harrison Kurunathan, Mohamed Hamdy Eldefrawy, Flavius Gruian, Magnus Jonsson

“…We also highlight the fast lightweight security protocols implemented on heterogeneous embedded, low-power, high-performance computing platforms as a viable solution to address these challenges.…”
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An optimal workflow scheduling in IoT-fog-cloud system for minimizing time and energy by Roqia Rateb, Ahmed Adnan Hadi, Venkata Mohit Tamanampudi, Laith Abualigah, Absalom E. Ezugwu, Ahmed Ibrahim Alzahrani, Fahad Alblehai, Heming Jia

“…Abstract Today, with the increasing use of the Internet of Things (IoT) in the world, various workflows that need to be stored and processed on the computing platforms. But this issue, causes an increase in costs for computing resources providers, and as a result, system Energy Consumption (EC) is also reduced. …”
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Scalable Context-Based Facial Emotion Recognition Using Facial Landmarks and Attention Mechanism by Savina Jassica Colaco, Dong Seog Han

“…Due to its scalability, our model can be applied across diverse computational platforms and operational circumstances while maintaining high performance. …”
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Advantages of using interactive board at the classes of Higher Mathematics in technical university by Irina N. Pavlova, Michail A. Yevdokimov

“…In conditions of ubiquitous informatization of education the use of modern information technologies in the training process including the use of such a modern computer platform as an interactive board helps to achieve these goals. …”
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Performance Analysis of Homogeneous On-Chip Large-Scale Parallel Computing Architectures for Data-Parallel Applications by Xiaowen Chen, Zhonghai Lu, Axel Jantsch, Shuming Chen, Yang Guo, Shenggang Chen, Hu Chen

“…On-chip computing platforms are evolving from single-core bus-based systems to many-core network-based systems, which are referred to as On-chip Large-scale Parallel Computing Architectures (OLPCs) in the paper. …”
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Software-Defined Radio FPGA Cores: Building towards a Domain-Specific Language by Lekhobola Tsoeunyane, Simon Winberg, Michael Inggs

“…This paper reports on the design and implementation of an open-source library of parameterizable and reusable Hardware Description Language (HDL) Intellectual Property (IP) cores designed for the development of Software-Defined Radio (SDR) applications that are deployed on FPGA-based reconfigurable computing platforms. The library comprises a set of cores that were chosen, together with their parameters and interfacing schemas, based on recommendations from industry and academic SDR experts. …”
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MonoSeg: An Infrared UAV Perspective Vehicle Instance Segmentation Model with Strong Adaptability and Integrity by Peng Huang, Yan Yin, Kaifeng Hu, Weidong Yang

“…Moreover, the computational constraints of edge computing platforms pose a fundamental challenge in balancing real-time processing requirements with detection performance. …”
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Probabilistic Error Modeling and Topology-Based Smoothing of Indoor Localization and Tracking Data, Based on the IEEE 802.15.4a Chirp Spread Spectrum Specification by Olga E. Segou, Stelios C. A. Thomopoulos

“…Location awareness is a core capability in many context-aware computing platforms. Multiple existing systems either provide inadequate accuracy or require extensive calibration or preexisting measurements in order to be functional. …”
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All‐Inorganic Perovskite Quantum‐Dot Optical Neuromorphic Synapses for Near‐Sensor Colored Image Recognition by Yung‐Chi Yao, Chia‐Jung Lee, Yong‐Jun Chen, Jun‐Zhi Feng, Hongseok Oh, Chin‐Shan Lue, Jinn‐Kong Sheu, Ya‐Ju Lee

“…These findings represent substantial advancements in near‐sensor computing platforms and open a new horizon for all‐inorganic perovskite optoelectronic technologies.…”
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Patient-specific computational simulation of coronary artery bypass grafting. by Wei Wu, Anastasios Nikolaos Panagopoulos, Charu Hasini Vasa, Mohammadali Sharzehee, Shijia Zhao, Saurabhi Samant, Usama M Oguz, Behram Khan, Abdallah Naser, Khaled M Harmouch, Ghassan S Kassab, Aleem Siddique, Yiannis S Chatzizisis

“…<h4>Conclusions</h4>We presented a comprehensive patient-specific computational platform that can simulate the hemodynamic conditions before and after CABG and faithfully reproduce the hemodynamic effects of bypass grafting on the native coronary artery flow. …”
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3-D Viscous Flow Analysis of a Mixed Flow Pump Impeller by Steven M. Miner

“…This is in contrast to typical analyses using in excess of 100,000 nodes that are run on a super computer platform. The smaller mesh size has advantages in the design environment. …”
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diaTracer enables spectrum-centric analysis of diaPASEF proteomics data by Kai Li, Guo Ci Teo, Kevin L. Yang, Fengchao Yu, Alexey I. Nesvizhskii

“…We introduce diaTracer, a spectrum-centric computational tool optimized for diaPASEF data. diaTracer performs three-dimensional (mass to charge ratio, retention time, ion mobility) peak tracing and feature detection to generate precursor-resolved “pseudo-tandem mass spectra”, facilitating direct (“spectral-library free”) peptide identification and quantification from diaPASEF data. diaTracer is available as a stand-alone tool and is fully integrated into the widely used FragPipe computational platform. We demonstrate the performance of diaTracer and FragPipe using diaPASEF data from triple-negative breast cancer, cerebrospinal fluid, and plasma samples, data from phosphoproteomics and human leukocyte antigens immunopeptidomics experiments, and low-input data from a spatial proteomics study. …”
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Rapid Flood Monitoring Using Sentinel-1 and Landsat-8 Images (Case study: Kashkan River, Poldakhter City) by Peyman Peymankhah, Sara Attarchi, Meysam Moharrami

“…This advantage coupled with cloud computing platforms such as Google Earth Engine (GEE) provide a tremendous opportunity for the crisis response community for effective management plans. …”
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Field‐programmable gate array acceleration of the Tersoff potential in LAMMPS by Quan Deng, Qiang Liu

“…The traditional general‐purpose high‐performance computing platforms are hindered by low computational and power efficiency, constraining the practical application of large‐scale and long‐time many‐body molecular dynamics simulations. …”
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Quantum-Inspired Multi-Scale Object Detection in UAV Imagery: Advancing Ultra-Small Object Accuracy and Efficiency for Real-Time Applications by Muhammad Muzammul, Muhammad Assam, Ayman Qahmash

“…It also establishes a foundation for future advancements, including scalability to diverse datasets, integration with edge computing platforms, and the exploration of quantum computing techniques. …”
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A Survey of Data Partitioning and Sampling Methods to Support Big Data Analysis by Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salman Salloum, Tamer Z. Emara, Kuanishbay Sadatdiynov

“…Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. …”
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Optimizing the Electrical Interface for Large-Scale Color-Center Quantum Processors by Luc Enthoven, Masoud Babaie, Fabio Sebastiano

“…Similar to other quantum computing platforms, the electrical interface required to control and read out such qubits may limit both the performance of the whole system and its scalability. …”
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