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A Hybrid parallel Signature Matching model for Network Security Applications Using SIMD GPU 1

8th International Symposium on Advanced parallel Processing Technologies

作者： Wu, Chengkun Yin, Jianping Cai, Zhiping Zhu, En Chen, Jieren Natl Univ Def Technol Sch Comp Sci Changsha 410073 Hunan Peoples R China

ISBN: (数字)9783642036446

ISBN: (纸本)9783642036439

High performance signature matching against a large dictionary is of great importance in network security applications. The many-core SIMD GPU is a competitive choice for signature matching. In this paper, a hybrid parallel signature matching model (HPSMM) using SIMD GPU is proposed, which uses pattern set partition and input text partition together. Then the problem of load balancing for multiprocessors in the GPU is discussed carefully and a balanced pattern set partition method (BPSPM) employed in HPSMM is introduced. Experiments demonstrate that using pattern set partition and input text partition together can help achieve a better performance, and the proposed BPSPM-Length works well in load balancing.

关键词： signature matching parallel model network security GPU

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A parallel Smart Contract model 18

A Parallel Smart Contract Model

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International Conference on Machine Learning and Machine Intelligence (MLMI)

作者： Yu, Wei Luo, Kan Ding, Yi You, Guang Hu, Kai Beihang Univ State Key Lab Software Dev Environm Beijing 100191 Peoples R China Beijing Wuzi Univ Sch Informat Beijing 101149 Peoples R China China Mobile Informat Technol Co Ltd BeiJing Business Support Ctr Beijing 100031 Peoples R China

ISBN: (纸本)9781450365567

With the rapid development of blockchain technology, blockchain becomes a good platform for execution of smart contracts. However, since smart contracts still have a low performance of transaction processing on blockchain. It can't satisfy real-time requirements in some situations. This paper proposes a parallel smart contract model on blockchain which has a better performance in transaction processing. The challenges with the proposed approach are the implementation of the parallel mode and the solution of synchronization problem of the proposed model. This paper uses multi-thread technology to implement the proposed model where transactions are executed in parallel. Then we propose a transaction splitting algorithm to resolve the synchronization problem. Finally, experimental analysis proves that this parallel model exactly makes a remarkable development of performance in transaction processing.

关键词： Blockchain smart contract parallel model

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A Linear Reduction model for parallel Prolog System 4

A Linear Reduction Model for Parallel Prolog System

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4th IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)

作者： Zhang, Wei Hong, Shenggui Northeastern Univ Coll Comp Sci & Engn Shenyang Liaoning Peoples R China

ISBN: (纸本)9781728114101

As one of the most influential artificial intelligence programming languages, Prolog can naturally express human's thinking and reasoning process. Thus, it has been widely applied in mechanical theorem proving, robot, intelligent planning, etc. However, the reasoning process of traditional Prolog is inefficient since it requires a lot of backtracking. This paper presents a novel linear reduction model different from the previous prolog derivation-generalized and/or graph search model, which can clearly represent variable (binding) constraints, so no backtracking is needed. In this model, a successful derivation of Prolog corresponds to a solution sub-graph of the corresponding generalized and/or graph. Therefore, the prolog reasoning is transformed into a searching process without backtracking, which can be parallel executed and greatly improves the efficiency of the prolog deduction. Furthermore, we discuss the transformation of artificial intelligence heuristic search technology, which is mature in both theory and practice, to Prolog reasoning, and obtain a more effective algorithm.

关键词： artificial intelligence Prolog reasoning parallel model generalized and/or graphs mechanical theorem proving heuristic search

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Audio Situation Analysis by Multiple Signal Features on a Hybrid parallel Neural Network 3rd

Audio Situation Analysis by Multiple Signal Features on a Hy...

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3rd International Conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Kumar, Anup Pande, Sagar Dhanraj Khamparia, Aditya School of Computer Science Engineering VIT-AP University Andhra Pradesh Amaravati India Maharashtra Pune India Uttar Pradesh Lucknow India

ISBN: (纸本)9789819743582

The human voice is one of the best possible ways to communicate and help the other person to understand better. According to Albert Mehrabian body language, our verbal communication consists of 38% vocal and 7% word only communication. Though there are 55% other ways of communication we need a prominent feature that is easy to detect and at the same time very important. The scientific community has focused on text-to-audio conversion of audio content like songs, debates, news, and political arguments. This paper proposes a hybrid parallel CNN and Attention (transformer) based architecture to represent the given audio into valuable information and classify the given situation. The model gets trained parallelly for the CNN and Transformer and then the output of the feature tensor is combined and fed into a combined model network passing through dense layers finally classifying the audio. The datasets used for the implementation purpose are EMOVO and Corpus. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Attention Audio CNN Deep learning Hybrid MEL-Spectrogram MFCC Neural network NLP parallel model Sentiment analysis Situation analysis Transformer

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Influencing Factors' Analysis for the Performance of parallel Evolutionary Test Case Generation for Web Applications

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JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS 2025年第2期37卷

作者： Wang, Weiwei Zhang, Shukai Qiu, Kepeng Liu, Xuejun Li, Xiaodan Zhao, Ruilian Beijing Inst Petrochem Technol Coll Informat Engn Beijing Peoples R China Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing Peoples R China

Evolutionary test case generation plays a vital role in ensuring software quality and reliability. Since Web applications involve a large number of interactions between client and server, the dynamic evolutionary test case generation is very time-consuming, which makes it difficult to apply in actual projects. Obviously, parallelization provides a feasible way to improve the efficiency and effectiveness of evolutionary test generation. In our previous research, the idea of parallelism has been introduced into the evolutionary test generation for Web applications. However, its performance is affected by many factors, such as migration scale, migration frequency, the number of browser processes and subpopulations, and so on. The analysis of influencing factors can guide enhancing the performance of evolutionary test generation. For this reason, this paper analyzes the factors that influence parallel evolutionary algorithms and how they affect the performance of test generation for Web applications. At the same time, different parallel evolutionary test generation methods are designed and implemented. Experiments are conducted on open-source Web applications to generate test cases that meet the server-side sensitive paths coverage criterion, providing guidance and suggestions for the parameter setting of parallel evolutionary test case generation for Web applications. The experimental results show that (1) compared with the global parallelization model, the evolutionary algorithm based on the parallel island model has a greater improvement in test case generation performance. In more detail, when generating test cases with the same server-side sensitive paths coverage, the number of iterations required is reduced by 49.6%, and the time cost is reduced by 58.7%;(2) for the test case generation based on the parallel island model, if the migration scale is large, appropriately increasing the migration frequency can reduce its time cost;(3) if the number of subpopulations

关键词： empirical analysis influencing factors parallel model test cases generation web application

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DRPS:efficient disk-resident parameter servers for distributed machine learning

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Frontiers of Computer Science 2022年第4期16卷 79-90页

作者： Zhen Song Yu Gu Zhigang Wang Ge Yu School of Computer Science and Engineering Northeastern UniversityShenyang110819China College of Information Science and Engineering Ocean University of ChinaQingdao266100China

Parameter server(PS)as the state-of-the-art distributed framework for large-scale iterative machine learning tasks has been extensively ***,existing PS-based systems often depend on memory *** memory constraints,machine learning(ML)developers cannot train large-scale ML models in their rather small local ***,renting large-scale cloud servers is always economically infeasible for research teams and small *** this paper,we propose a disk-resident parameter server system named DRPS,which reduces the hardware requirement of large-scale machine learning tasks by storing high dimensional models on *** further improve the performance of DRPS,we build an efficient index structure for parameters to reduce the disk I/O *** on this index structure,we propose a novel multi-objective partitioning algorithm for the ***,a flexible workerselection parallel model of computation(WSP)is proposed to strike a right balance between the problem of inconsistent parameter versions(staleness)and that of inconsistent execution progresses(straggler).Extensive experiments on many typical machine learning applications with real and synthetic datasets validate the effectiveness of DRPS.

关键词： parameter servers machine learning disk resident parallel model

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modeling of photovoltaic modules under common shading conditions

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ENERGY 2022年 256卷

作者： Shen, Yu He, Zengxiang Xu, Zhen Wang, Yiye Li, Chenxi Zhang, Jinxia Zhang, Kanjian Wei, Haikun Minist Educ Key Lab Measurement & Control Complex Syst Engn Nanjing 210096 Peoples R China Southeast Univ Sch Automat Nanjing 210096 Peoples R China

Common shading conditions will lead to power loss and even result in hotspots, which may influence the reliability of photovoltaic (PV) systems. Therefore, it is necessary to model for PV modules under common shading conditions. Existing methods ignore the change of shunt resistance when the cell is shaded, leading to some errors of the I-V curve and P-V curve. In this paper, a physically explicable parallel circuit based on the single-diode model is proposed for the shaded cell. The parameters of shaded region and unshaded region are estimated respectively based on the shading proportion and transmittance. The shunt resistance of the shaded cell can be accurately estimated by the proposed method. The electrical model of PV module under common shading conditions is developed. Extensive experiments are conducted: PV modules are shaded by area-measurable shade cloth with regular shape to analyze I-V characteristics. PV modules are also shaded by uniformly accumulated dust, and leaf/soil/shadow with arbitrary shape and location to simulate the situation in real PV station. Experimental results verify that the I-V curve and P-V curve simulated by the proposed electrical model are more consistent with the measured results compared with the existing method. (C) 2022 Elsevier Ltd. All rights reserved.

关键词： modeling PV modules Common shading conditions Shunt resistance parallel model

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Subband architecture for automatic speaker recognition

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SIGNAL PROCESSING 2000年第7期80卷 1245-1259页

作者： Besacier, L Bonastre, JF CERI LIA Agroparc F-84911 Avignon 9 France

We present an original approach for automatic speaker identification especially applicable to environments which cause partial corruption of the frequency spectrum of the signal. The general principle is to split the whole frequency domain into several subbands on which statistical recognizers are independently applied and then recombined to yield a global score and a global recognition decision. The choice of the subband architecture and the recombination strategies are particularly discussed. This techniques had been shown to be robust for speech recognition when a narrow band noise degradation occur. We first objectively verify this robustness for the speaker identification task. We also study which information is really used to recognize speakers. For this, speaker identification experiments on independent subbands are conducted for 630 speakers of TIMIT and NTIMIT databases. The results show that the speaker specific information is not equally distributed among subbands. In particular, the low-frequency subbands (under 600 Hz) and the high-frequency subbands lover 3000 Hz) are more speaker-specific than middle-frequency ones. In addition, experiments on different subband system arechitectures show that the correlations between frequency channels are of prime importance for speaker recognition. Some of these correlations are lost when the frequency domain is divided into subbands. Consequently, we propose a particularly redundant parallel architecture for which most of the correlations are kept. The performances obtained with this new system, using linear recombination strategies, are equivalent to those of a conventional fullband recognizer on clean and telephone speech. Experiments on speech corrupted by unpredictable noise show a better adaptability of this approach in noisy environments, compared to a conventional device, especially when pruning of some recognizers is performed. (C) 2000 Elsevier Science B.V. All rights reserved.

关键词： speaker identification subband architecture recombination parallel model correlation noisy speech

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Use of simple thermal conductivity models to assess the reliability of measured thermal conductivity data

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INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID 2017年 74卷 458-464页

作者： Carson, James K. Univ Waikato Private Bag 3105 Hamilton New Zealand

Thermal conductivity data are important for modelling thermal processes and designing refrigeration systems. The literature contains a large number of data for food products, but many are questionable, whether due to typographical errors during publication, indirect measurement methods or inherent variability in the properties of the food itself. This paper describes a method by which the reliability of thermal conductivity data can be checked using simple thermal conductivity models and basic heat transfer theory, provided composition data for the foods are available, or may be assumed based on foods with similar composition. The method is applied to a variety of foods to serve as worked examples. It is recommended that these models be used to check the credibility of measured data before they are published, and also to check published data before they are used in any calculations. (C) 2016 Elsevier Ltd and IIR. All rights reserved.

关键词： Thermal conductivity Series model parallel model Maxwell-Eucken model

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Thermal Conductivity Estimation of Carbon-Nanotube-Dispersed Phase Change Material as Latent Heat Storage Material

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INTERNATIONAL JOURNAL OF THERMOPHYSICS 2022年第5期43卷 1-18页

作者： Morita, Shin-ichi Haniu, Toshihiro Takai, Kazunori Yamada, Takanobu Hayamizu, Yasutaka Gonda, Takeshi Horibe, Akihiko Haruki, Naoto Kitami Inst Tech Fac Engn Div Mech & Elect Engn 165 Koen Cyo Kitami Hokkaido 0908507 Japan Yonago Coll Natl Inst Technol 4448 Hikona Cyo Yonago Tottori 6838502 Japan Okayama Univ Grad Sch Nat Sci & Tech Kita Ku 3-1-1 Tsushimanaka Okayama Okayama 7008530 Japan Okayama Pref Univ 111 Kuboki Soja Okayama 7191197 Japan

This paper reports the results of a comparative evaluation of the measured and theoretical thermal conductivity values of a carbon nanotube-dispersed phase change material (PCM), in which multiwalled carbon nanotubes (MWCNTs) with extremely high thermal conductivity are dispersed in a latent heat storage material. The temperature range to be examined encompasses the temperatures corresponding to the solid-to-liquid phase, including the melting point of the latent heat storage material (PCM). The thermal conductivity of the MWCNT-dispersed PCM was measured using the wire-heating method with mass composition ratio and temperature as the parameters. The ratio of the thermal conductivity of the dispersoid to that of the continuous phase of this test sample was unprecedentedly large-a range that has never been evaluated in other studies. The test MWCNT had a very thin and long shape and was considered to be dispersed in the continuous phase in a deformed and interlaced state. The measured values of the thermal conductivity of the MWCNT-dispersed water were in good agreement with the values estimated using the columnar arrangement (Rayleigh) model formula, in which the heat flow was perpendicular to the axis. However, the measured thermal conductivity of the MWCNT-dispersed latent heat storage material was larger than that estimated by the Rayleigh model. Therefore, calculations were performed using the layer parallel model to determine the thermal conductivity estimation conditions. The estimation conditions enable the thermal conductivity estimation of the MWCNT-dispersion PCM and provide useful information for the design.

关键词： Carbon nanotube (CNT) Hot wire method Maxwell model parallel model Rayleigh model Thermal conductivity

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