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Multi-level dynamic error coding for face recognition with a contaminated single sample per person

PATTERN RECOGNITION LETTERS 2023年第1期171卷 38-44页

作者： Luan, Xiao Wang, Xin Liu, Linghui Li, Weisheng Chongqing Univ Posts & Telecommun Coll Comp Sci & Technol Chongqing Key Lab Image Cognit Chongqing 400065 Peoples R China Chongqing Univ Posts & Telecommun Sch Software Engn Chongqing 400065 Peoples R China

Single sample per person (SSPP) has always been a significantly challenging and practical problem for face recognition owing to limited information and facial variations. Although the existing holistic and lo -cal methods have achieved great success in face recognition with SSPP, their performances suffer a serious degradation when SSPP is accompanied by a contaminated gallery database. In this situation, the gallery set is usually disturbed by facial variations such as illumination, expression, and disguise. To solve this problem, we propose a novel method called multi-level dynamic error coding. First, a multi-level pyramid structure is constructed for holistic and local sparse representation, where gallery dictionary patches are extracted to build a local gallery dictionary and a variation dictionary is built by extracting the generic dataset patches to depict potential facial variations. Second, we further propose a scheme of dynamic error coding by constructing an error function at different levels to reduce the negative impact of varia-tions. At last, the corrected holistic and local errors are fused to perform the classification. Experimental results on various benchmark data sets have demonstrated that our method has strong generalization ability to dictionary and is more robust against facial variations under SSPP.(c) 2023 Elsevier B.V. All rights reserved.

关键词： Contaminated gallery database Face recognition Single sample per person error coding

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ENCRYPTION AND error-CORRECTION coding USING D-SEQUENCES

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IEEE TRANSACTIONS ON COMPUTERS 1985年第9期34卷 803-809页

作者： KAK, SC Department of Electrical and Computer Engineering Louisiana State University Abstract Authors References Cited By Keywords Metrics Similar Download Citation Email Print Request Permissions

This paper presents several new properties of D sequences that have applications to encryption and error coding. It also considers the problem of joint encryption and error-correction coding and proposes a solution using D sequences. The encryption operation considered is equivalent to exponentiation, which forms the basis of several public-key schemes. An application of D sequences to generating events with specified probabilities is also presented.

关键词： Cryptography D sequences data security error coding public-key systems random sequences

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Digital parity and the composition of the nucleotide alphabet

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IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE 2006年第1期25卷 54-61页

作者： Mac Dónaill, DA Univ Dublin Trinity Coll Sch Chem Dublin 2 Ireland

In retrospect, a potential role for error coding in shaping the nucleotide alphabet seems obvious, and yet, with two notable exceptions, it appears to have been largely ignored; Szathmary recognized in his paper the relationship between donor-acceptor (D/A) patterns and replication errors (1992), while Yockey implicitly implied a role for error coding in nucleotide transmission, assigning 5-b representations to nucleotides (1992). Unfortunately, these assignments had no physicochemical basis, being based on mapping the natural alphabet to a code employed in an error-coding text. The model outlined in this paper melds these approaches, embracing a role for error coding, but one based on hydrogen/lone-pair patterns. The attraction of the error-coding description is that it offers a strikingly simple explanation of nature\'s choice of alphabet from among the set of potential nucleotides; optimal alphabets correspond to those in which the purine/pyrimidine feature relates to the D/A pattern as a parity bit. When this error-coding approach is coupled with chemical constraints, the natural alphabet of A, C, G, and T emerges as the optimal solution for nucleotides.

关键词： DNA biochemistry coding errors molecular biophysics physical chemistry 5-b nucleotide representations digital parity donor-acceptor patterns error coding hydrogen/lone-pair patterns nucleotide alphabet nucleotide transmission physicochemistry purine pyri

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GPU-based fast error recovery for high speed data communication in media technology

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2015年第1期18卷 93-101页

作者： Islam, Md Shohidul Kim, Jong-Myon Univ Ulsan Sch Elect Engn Ulsan 680749 South Korea

The heterogeneous wireless network is an essential constituent of the emerging advanced active media technology (AMT). However, reliable wireless data communication is a challenge since a packet is easily corrupted by noise or interference. As a remedy, error control mechanisms are adopted and ever-growing networks demand a high speed solution. In this paper, we present a faster implementation of the extended Hamming code, a widely-used error correction algorithm, using graphics processing units (GPU). A GPU performs parallel computations by employing a cluster of processors, and can operate on both single bit and multiple bit errors. We compare the performance of the GPU-based approach with the equivalent sequential algorithm that runs on traditional CPUs with regards to error strength, t, such that 1a parts per thousand currency signta parts per thousand currency sign7. Experimental results demonstrate that the GPU-based approach significantly outperforms the CPU-based approach in terms of execution time and buffer memory requirement. Furthermore, the proposed approach reduces the computational complexity from O(n) for CPUs to O(1) for the GPU-based approach, yielding significant increases in speed.

关键词： Active media technology GPU Wireless communication error coding Software defined radio

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Accelerating Extended Hamming Code Decoders on Graphic Processing Units for High Speed Communication

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IEICE TRANSACTIONS ON COMMUNICATIONS 2014年第5期E97B卷 1050-1058页

作者： Islam, Md Shohidul Kim, Jong-Myon Univ Ulsan Embedded Ubiquitous Comp Syst Lab Ulsan 680749 South Korea Univ Ulsan Ulsan 680749 South Korea

Emerging networks characterized by growing speed and data insensitivity demand faster and scalable error handling. Prevalent decoders are based on dedicated hardware, offering considerable processing speed, but limited flexibility, programmability and scalability. This paper proposes an efficient approach to accelerate the extended-Hamming code decoder using a graphics processing unit (GPU), chosen for its low cost and extremely high-throughput parallel-computing capability. This paper compares the performance of the GPU-based approach with the equivalent sequential approaches that are performed on a central processing unit (CPU) and Texas Instruments TMS320C6742 digital signal processor (DSP) with varying packet sizes and error tolerances. Experimental results demonstrate that the proposed GPU-based approach outperforms the sequential approaches in terms of execution time and energy consumption.

关键词： error coding extended Hamming code decoder GPU

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A fast and energy-efficient Hamming decoder for software-defined radio using graphics processing units

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JOURNAL OF SUPERCOMPUTING 2015年第7期71卷 2454-2472页

作者： Kim, Jaeyoung Kang, Myeongsu Islam, Md Shohidul Kim, Cheol-Hong Kim, Jong-Myon Univ Ulsan Sch Elect Elect & Comp Engn Ulsan 680749 South Korea Chonnam Natl Univ Sch Elect & Comp Engn Gwangju 500757 South Korea

The demand for scalable and fast error decoders has recently increased in software-defined radio-based communication systems. Hamming code, which is one of the promising error decoders, shows acceptable accuracy;however, the computational complexity of the decoder limits its use in real-time communication. To address this issue, this paper proposes a fully parallel implementation of the (7, 4) Hamming code on a graphics processing unit (GPU) by exploiting massive data-parallelism and increasing on-chip constant memory accesses. To further improve the performance of this proposed parallel approach, this paper explores the impact of different thread/block configurations and selects optimal thread/block configurations, which can occupy more hardware resources for performing parity checks, error detection and correction, and decoding of the received codeword. In addition, the proposed GPU-based Hamming decoder can provide significant scalability by supporting different message sizes, including 355,907 bytes, 2,959,475 bytes, and 12,835,890 bytes. To verify the effectiveness of the GPU-based parallel Hamming decoder, this paper compares its performance with that of the multi-threading central processing unit (CPU) approach which is executed on an Intel multi-core processor. Experimental results indicate that the proposed GPU-based decoder operates at least 15.13 times faster and reduces the energy consumption by up to 913.17 % compared to the multi-threading CPU-based approach.

关键词： Software-defined radio Hamming code error coding Graphics processing units High-speed and real-time communication

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Decoding a Decision Process in the Neuronal Population of Dorsal Premotor Cortex

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NEURON 2017年第6期96卷 1432-+页

作者： Rossi-Pool, Roman Zainos, Antonio Alvarez, Manuel Zizumbo, Jeronimo Vergara, Jose Romo, Ranulfo Univ Nacl Autonoma Mexico Inst Fisiol Celular Neurociencias Mexico City 04510 DF Mexico Colegio Nacl Mexico City 06020 DF Mexico

When trained monkeys discriminate the temporal structure of two sequential vibrotactile stimuli, dorsal premotor cortex (DPC) showed high heterogeneity among its neuronal responses. Notably, DPC neurons coded stimulus patterns as broader categories and signaled them during working memory, comparison, and postponed decision periods. Here, we showthat such population activity can be condensed into two major coding components: one that persistently represented in working memory both the first stimulus identity and the postponed informed choice and another that transiently coded the initial sensory information and the result of the comparison between the two stimuli. Additionally, we identified relevant signals that coded the timing of task events. These temporal and task-parameter readouts were shown to be strongly linked to the monkeys' behavior when contrasted to those obtained in a non-demanding cognitive control task and during error trials. These signals, hidden in the heterogeneity, were prominently represented by the DPC population response.

关键词： behaving monkeys pattern discrimination dorsal premotor cortex population coding temporal signals persistent memory transitory signals decision making error coding

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A Study On Reliable High-Speed HBC Enhanced by ECC for Wearable Neural Interfaces 4

A Study On Reliable High-Speed HBC Enhanced by ECC for Weara...

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IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) - Intelligent Technology in the Post-Pandemic Era

作者： Moon, Seungsik Ko, Jaehyun Kim, Byungsub Lee, Youngjoo Pohang Univ Sci & Technol POSTECH Elect Engn Pohang South Korea

ISBN: (数字)9781665409964

ISBN: (纸本)9781665409964

This work reports the first quantitative study about reliable high-speed human body communication (HBC) enhanced by error correction code (ECC) for wearable neural interfaces. For the first time, Bose-Chaudhuri-Hocqunghem (BCH) code was applied to the measured raw data of an HBC transceiver (TRX) that operated at about 100 Mb/s or faster to quantitatively assess the reliability improvement and the additional power and area cost associated with the BCH code. In our assessments, the (136, 128, 1) BCH code very efficiently improved the reliability of the HBC as it improved the eye height by up to about 95 % at costs of only 5-7% additional power and 46% additional silicon area. With slightly more power consumption up to 21% and 90% chip area, the (160, 128, 4) BCH code greatly improved the reliability of the HBC as it increased the eye height by up to 200%.

关键词： BCH code error coding human body communication decision feedback equalization eye diagram

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Using Neural Networks to Detect errors in coding Exams

Using Neural Networks to Detect Errors in Coding Exams

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International Conference on Informatics Engineering and Information Science (ICIEIS 2011)

作者： Stando, Jacek Tech Univ Lodz Ctr Math PL-90924 Lodz Poland

ISBN: (纸本)9783642254529

The system of external evaluation has been in use in Poland for over 10 years now. The paper presents and thoroughly describes the algorithm used and discusses the efficiently of the applied method. Chapter 1 of the paper introduces the details of the system of external examinations in Poland and presents the basic concepts of RBF networks. Chapter 2 describes the structure of the examination and Chapter 3 deals with the problem and its solution.

关键词： Neural networks network RBF exam error coding

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Foosball coding: Correcting Shift errors and Bit Flip errors in 3D Racetrack Memory 50

Foosball Coding: Correcting Shift Errors and Bit Flip Errors...

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50th IEEE/IFIP Annual International Conference on Dependable Systems and Networks (DSN)

作者： Archer, Samantha Mappouras, Georgios Calderbank, Robert Sorin, Daniel J. Duke Univ Dept Elect & Comp Engn Durham NC 27708 USA

ISBN: (纸本)9781728158099

Racetrack memory is a promising new non-volatile memory technology, especially because of the density of its 3D implementation. However, for 3D racetrack to reach its potential, certain reliability issues must be overcome. Prior work used per-track encoding to tolerate the shift errors that are unique to racetrack, but no solutions existed for tolerating both shift errors and bit flip errors. We introduce Foosball coding, which combines per-track coding for shift errors with a novel across-track coding for bit flips. Moreover, our per-track coding scheme methodically explores the design of inter-codeword delimiters and introduces the novel concept of multi-purpose delimiters, in which the existence of multiple delimiter options can be used to provide additional information.

关键词： Racetrack memory fault tolerance error coding endurance coding

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