Showing 101 - 120 results of 275 for search 'Rules (novel)', query time: 0.09s Refine Results
  1. 101

    Quasi-Babinet principle in dielectric resonators and Mie voids by Masoud Hamidi, Kirill Koshelev, Sergei Gladyshev, Adrià Canós Valero, Mario Hentschel, Harald Giessen, Yuri Kivshar, Thomas Weiss

    Published 2025-02-01
    “…Advancing resonant nanophotonics requires novel building blocks. Recently, cavities in high-index dielectrics have been shown to resonantly confine light inside a lower-index region. …”
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  2. 102

    Reception games of Dušan Taragel (the non-actor) by Peter Darovec

    Published 2025-02-01
    “…The study focuses on the various forms of a specific postmodernist literary game, whose framework and rules are primarily determined by the conventions of pop culture genres. …”
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    Article
  3. 103

    High order intuitionistic fuzzy time series forecasting model by Ya-nan WANG, Ying-jie LEI, Yang LEI, Xiao-shi FAN

    Published 2016-05-01
    “…A high order intuitionistic fuzzy time series forecasting model was built.In the new model,fuzzy clustering algorithm was used to get unequal intervals,and a more objective technique for ascertaining membership and non-membership functions of intuitionistic fuzzy set was proposed.On these bases,forecasting rules based on mul-ti-dimension intuitionistic fuzzy modus ponens inference were established.At last,contrast experiments on the enroll-ments of the university of Alabama and the daily average temperature of Beijing were carried out,which show that the novel model has a clear advantage of improving the forecasting accuracy.…”
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  4. 104

    Hardware Trojans detection based on projection pursuit by Peng ZHANG, Xin-cheng WANG, Qing ZHOU

    Published 2013-04-01
    “…A novel hardware Trojans detection technique using the side channel signals of chips was proposed.Based on the projection pursuit with absolute information divergence index,this technique could find out the data structure enables reflect high dimension special rules without obvious i tion loss,so as to attain the goal of feature abstraction and identification on side channel signals of IC chips.The detection experiment against an exemplary AES-128 hardware Trojan circuit showed that the technique could distinguish the difference of side channel signal's feature between the genuine chip and tested chip,and consequently could detect the existence of the hardware Trojan.…”
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  5. 105

    Mechanism of joint physical layer and MAC layer for handling multi-TRP UL overlapping transmissions by JING Xiaorong, XIONG Jie, SUN Jian, CHEN Qianbin

    Published 2024-08-01
    “…The novel mechanism enhanced the identification process of overlapping channels at the physical layer, revised the multiplexing requirements and rules, and fed the multiplexing and overlapping information from the physical layer back to the MAC layer. …”
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  6. 106

    Robert Merle théoricien et praticien de la politique-fiction by Anne Wattel

    Published 2016-06-01
    “…As he has just finished his novel The Day of the Dolphin, Merle lays out, in a special issue of Le Monde in October 1967, the golden rules of political fiction: a short-term anticipation which introduces one or several minor variables, a critical vision in keeping with a serious genre, which reveals and alerts against the planetary anguish that grips mankind in the second half of the twentieth century. …”
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  7. 107

    States constrain-based algorithm for large scale regular expression matching by Wei HE, Yun-fei GUO, Hong-chao HU

    Published 2013-10-01
    “…By analysis of state explosion in deterministic finite automata DFA,a novel algorithm Group<sup>2</sup>-DFA based on state constrains was proposed to reduce the memory usage.With the state constrains,states in NFA were classified into several groups.Group<sup>2</sup>-DFA introduces two-level classification and merges NFA and DFA together to a hybrid FA construction.The experiments show that Group<sup>2</sup>-DFA can reduce memory usage efficiently and keep high throughput with a small increase of memory reading time.With 300 regex rules,Group<sup>2</sup>-DFA can cut 75% states and achieve 1Gbps throughput.…”
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  8. 108

    Cooperative Spectrum Sensing Based on Dempter-Shafer Theory of Evidence in Cognitive Radio Network by Shujing Xie, Lianfeng Shen

    Published 2013-08-01
    “…Cognitive radio has the advantage of high spectrum utilization since the spectrum can be shared by primary and secondary user.Meanwhile,the new adaptable characteristic is required for the secondary user.On the basis of analyzing D-S theory of evidence,a novel distributed cooperative spectrum sensing scheme was presented,which modified the combination equation for conflicting evidence source,and the BPA function based on fuzzy degree calculation was redefined.Simulation results show that the proposed scheme can sense the available spectrum in the cognitive radio networks very well,and can be used as a general spectrum sensing scheme in AWGN and Rayleigh fading channel when compared with the traditional "and","or" fusion rules and other D-S theory of evidence schemes in the previous literature.…”
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  9. 109

    Fuzzy Logic Transformer Design Algorithm (FLTDA) by R. R. Mudholkar, S. R. Sawant, G. G. Tengshe, A. B. Bagwan

    Published 1999-01-01
    “…In the present communication we report a novel fuzzy based algorithm developed for transformer designing. …”
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  10. 110

    GenSQLi: A Generative Artificial Intelligence Framework for Automatically Securing Web Application Firewalls Against Structured Query Language Injection Attacks by Vahid Babaey, Arun Ravindran

    Published 2024-12-01
    “…This paper introduces a novel generative AI framework designed to enhance SQLi mitigation by leveraging Large Language Models (LLMs). …”
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  11. 111

    A Clustering and SVM Regression Learning-Based Spatiotemporal Fuzzy Logic Controller with Interpretable Structure for Spatially Distributed Systems by Xian-xia Zhang, Jun-da Qi, Bai-li Su, Shi-wei Ma, Hong-bo Liu

    Published 2012-01-01
    “…The design consists of three parts: initial rule generation, rule-base simplification, and parameter learning. …”
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  12. 112

    The Optimization of the Location of the Cargo in Three-Dimension Shelf: Employing the FP-Tree and the Artificial Fish Swarm Algorithms by Shuiwang Zhang, Linping Fu, Rui Wang, Rong Chen

    Published 2020-01-01
    “…The performance and efficiency of the novel introduced method have been confirmed by running the experiment. …”
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  13. 113

    ‘Only Brooks of Sheffield’: Conversation, Crossover Writing, and Child and Adult Perspectives in David Copperfield and Its Juvenile Adaptations by Hannah Field

    Published 2020-12-01
    “…First, I show conversation as an important vector in Dickens’s exploration of child and adult knowledge in the original novel. The rules of conversation are suspended in mixed-age companies, as is most powerfully expressed in my titular example: an adult joke turning on the child David’s non-comprehension of a remark by Mr Murdstone. …”
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  14. 114

    Hybrid Tree Tensor Networks for Quantum Simulation by Julian Schuhmacher, Marco Ballarin, Alberto Baiardi, Giuseppe Magnifico, Francesco Tacchino, Simone Montangero, Ivano Tavernelli

    Published 2025-01-01
    “…In this work, we introduce a novel algorithm to perform ground-state optimizations with hybrid tree tensor networks (hTTNs), discussing its advantages and roadblocks, and identifying a set of promising applications. …”
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  15. 115

    Effective retransmission in network coding for TCP by Jing CHEN, Xue-peng SONG, Fang LIU

    Published 2014-08-01
    “…Theoretical analysis for evaluating the decoding delay and redundancy of the different retransmission schemes show that the feedback based retransmission scheme has a lower decoding delay than the scheme with a fixed retransmis-sion rate, whereas these schemes which retransmit packets containing all packets in the coding window are deeply influ-enced by the loss rate. Therefore a novel network coding retransmission scheme which uses the implicit information of seen scheme to acquire the number of packets the receiver needs for decoding packets is proposed, the encoding rules of retransmission to let a part of packets decodable in advance are changed. …”
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  16. 116

    Detection and Reduction of Middle-Frequency Resonance for Industrial Servo with Self-Tuning Lowpass Filter by Wen-Yu Wang, An-Wen Shen

    Published 2012-01-01
    “…A novel method for middle frequency resonance detection and reduction is proposed for speed control in industrial servo systems. …”
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  17. 117

    Fault diagnosis and auto dispatchin of power communication network based on unsupervised clustering and frequent subgraph mining by Jihua WU, Pengyu ZHU, Zichen WU, Bin GU, Tao HONG, Bo GUO, Jing WANG, Jingyu WANG

    Published 2021-11-01
    “…Fault diagnosis is one of the most challenging tasks in power communication.The fault diagnosis based on rules can no longer meet the demand of massive alarms processing.The existing approaches based on the supervised learning need large sets of the labeled data and sufficient time to train models for processing continuous data instead of alarms, which are far behind the feasibility of deployment.As for alarm correlation and fault pattern discovery, a self-learning algorithm based on the density-based clustering and frequent subgraph mining was proposed.A novel approach for automatic fault diagnosis and dispatch were also introduced, which provided the scalable and self-renewing ability and had been deployed to the automatic fault dispatch system.Experiments in the real-world datasets authorized the effectiveness for timely fault discovery and targeted fault dispatch.…”
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  18. 118

    Fuzzy filtering of sensors signals in railway transport systems by Mhalla Anis, Simon Dutilleul

    Published 2024-06-01
    “…The major paper contributes to the fuzzy filtering of sensor signals incorporating robustness parameters. This novel concept combines a conventional sensor signal filter mechanism and fuzzy logic principles. …”
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  19. 119

    Sparsity induced convex nonnegative matrix factorization algorithm with manifold regularization by Feiyue QIU, Bowen CHEN, Tieming CHEN, Guodao ZHANG

    Published 2020-05-01
    “…To address problems that the effectiveness of feature learned from real noisy data by classical nonnegative matrix factorization method,a novel sparsity induced manifold regularized convex nonnegative matrix factorization algorithm (SGCNMF) was proposed.Based on manifold regularization,the L&lt;sub&gt;2,1&lt;/sub&gt;norm was introduced to the basis matrix of low dimensional subspace as sparse constraint.The multiplicative update rules were given and the convergence of the algorithm was analyzed.Clustering experiment was designed to verify the effectiveness of learned features within various of noisy environments.The empirical study based on K-means clustering shows that the sparse constraint reduces the representation of noisy features and the new method is better than the 8 similar algorithms with stronger robustness to a variable extent.…”
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  20. 120

    UAV-Aided Data Delivery Scheme Based on Opportunistic Virtual Intersections for Smart Transportation Networks by Wei Li, Xianxing Liu, Xiaoyong Ma, Xianwei Wang, Yi Zhou

    Published 2019-01-01
    “…We introduce a novel concept called “opportunistic virtual intersections”, at which UAVs can communicate with ground vehicles, and assist to deliver data packets. …”
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