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4th IFIP International Conference on Intelligent Information Processing

作者： Zhang Guiyun Liu Yang Zhang Weijuan Wang Yuanyuan Tianjin Normal Univ Comp & Informat Engn Coll Tianjin 300384 Peoples R China

ISBN: (纸本)0387446397

This paper introduces the reference theory and algorithm of text categorization by using fuzzy cognitive map(FCM), which is based, on value inference and can be able to infer by combing rule and statistics. This method is flexible and robust, and we do not need train the cot-pus time after time, it is Suitable to the text categorization of insufficiency training, new subject and multiclassification.

关键词： text categorization fuzzy cognitive map reference algorithm

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Reduced-cost electromagnetic-driven optimisation of antenna structures by means of trust-region gradient-search with sparse Jacobian updates

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IET MICROWAVES ANTENNAS & PROPAGATION 2019年第10期13卷 1646-1652页

作者： Koziel, Slawomir Pietrenko-Dabrowska, Anna Reykjavik Univ Sch Sci & Engn Engn Optimizat & Modeling Ctr Menntavegur 1 IS-101 Reykjavik Iceland Gdansk Univ Technol Fac Elect Telecommun & Informat Narutowicza 11-12 PL-80233 Gdansk Poland

Numerical optimisation plays more and more important role in the antenna design. Because of lack of design-ready theoretical models, electromagnetic (EM)-simulation-driven adjustment of geometry parameters is a necessary step of the design process. At the same time, traditional parameter sweeping cannot handle complex topologies and large number of design variables. On the other hand, high computational cost of the conventional optimisation routines can be reduced using, e.g., surrogate-assisted techniques. Still, direct optimisation of EM simulation antenna models is required at certain level of fidelity. This work proposes a reduced cost trust-region algorithm with sparse updates of the antenna response Jacobian, decided based on relocation of the design variable vector between algorithm iterations and the update history. Our approach permits significant reduction of the optimisation cost (similar to 40% as compared to the reference algorithm) without affecting the design quality in a significant manner. Robustness of the proposed technique is validated using a set of benchmark antennas, statistical analysis of the algorithm performance over multiple initial designs, as well as investigating the effects of its control parameters that permit control efficiency vs. design quality trade-off. Selected designs were fabricated and measured to validate the computational models utilised in the optimisation process.

关键词： statistical analysis optimisation gradient methods Jacobian matrices sparse matrices antenna theory search problems electromagnetic field theory reference algorithm electromagnetic-driven optimisation trust-region gradient-search sparse Jacobian updates numerical optimisation antenna systems design-ready theoretical models electromagnetic-simulation-driven adjustment geometry parameters design process parameter sweeping complex topologies antenna parameterisation surrogate-assisted techniques direct optimisation EM simulation antenna models reduced cost trust-region algorithm sparse updates antenna response Jacobian design variable vector benchmark antenna structures multiple initial designs control parameters design quality trade-off high computational cost reduction statistical analysis

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Fast automated on-chip artefact removal of EEG for seizure detection based on ICA-R algorithm and wavelet denoising

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IET CIRCUITS DEVICES & SYSTEMS 2020年第4期14卷 547-554页

作者： Feng, Lichen Li, Zunchao Zhang, Jian Xi An Jiao Tong Univ Sch Microelect 28 Xianning West Rd Xian Peoples R China

Portable automatic seizure detection systems can greatly improve the quality of life of epileptic patients. To improve the performance of seizure detection, independent component analysis (ICA) is implemented in these systems to extract artefacts of electroencephalogram (EEG), and then wavelet denoising method is used to remove the artefacts. However, classical ICA requires post-identification of the components containing artefacts, which cause inefficiency. In this study, integrated circuit implementation of fast ICA with reference algorithm and wavelet denoising method is carried out to enable on-chip artefact extraction and removal without post-identification. This system consists of extraction and removal module, which are designed highly parallel to speed up computation, and therefore, save time for seizure detection. The presented system is verified on Kintex-7 field-programmable gate array using synthesised signal and real EEG data. Experiment results show that the designed system is fully functional and speeds up the artefact removal process.

关键词： field programmable gate arrays electroencephalography signal denoising medical signal detection wavelet transforms medical signal processing independent component analysis reference algorithm wavelet denoising method on-chip artefact extraction post-identification removal module artefact removal process on-chip artefact removal portable automatic seizure detection systems independent component analysis classical ICA integrated circuit implementation fast ICA

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Exploiting SIMD Extensions for Linear Image Processing with OpenCL

Exploiting SIMD Extensions for Linear Image Processing with ...

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IEEE International Conference on Computer Design

作者： Antao, Samuel Sousa, Leonel Univ Tecn Lisboa Inst Super Tecn INESC ID P-1096 Lisbon Portugal

ISBN: (纸本)9781424489350

The OpenCL framework supports SIMD capabilities available in general purpose processors, which have been used to prospect performance improvements in several applications. In this paper we propose efficient algorithms for linear image processing by exploring the provided SIMD extensions on AMD and Intel processors. The efficiency of the SIMD based computation inferred by the OpenCL compiler is also experimentally evaluated. Starting from a reference algorithm and implementation, several optimizations are proposed that lead to increasingly higher performance figures. Experimental results suggest an average 4-fold performance improvement when the vectorization of the operations is tuned. Furthermore, more than 10 times speedup is suggested by applying efficient data organization. The experimental work and achieved results also suggest that the SIMD based OpenCL implementations provide an average of 1.8 times lower performance than equivalent implementations that directly employ the SIMD intrinsics supported by the Intel Compiler. Moreover, it is shown that real time image processing is achieved when SIMD instructions are used.

关键词： AMD processor Intel Compiler Intel processor OpenCL framework SIMD extension data organization general purpose computers image processing linear image processing microprocessor chips parallel algorithms performance evaluation program compilers real-time systems reference algorithm

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