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An IP packet forwarding technique based on a new structure of lookup table

International Journal of computers and Applications 2006年第2期28卷 112-121页

作者： Arafat Ali, H. El-Desouky, A.I. Ared, M.F. Computers and Systems Dept. Faculty of Engineering Mansoura University Mansoura Egypt Deptartment of Computer Science University of Connecticut Storrs United States University of Mansoura Faculty of Computer Science Computer and Control Department Mansoura University Computer Engineering and Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

In computer networks nowadays, high-speed routers are compulsory to deliver the incoming packet to its destination. There are two parameters that exist in all lookup techniques that directly affect performance results: data structure size and number of lookup table accesses. With these remarks in mind, the specific goals of this paper are: (i) Design a data structure for storing an IP lookup table that enhances the lookup process, (ii) Produce an IP lookup algorithm that has a bounded worst-case number of accesses lower than contemporary techniques, and (iii) Improve updating and deletion operations that do not create a bottleneck to efficient forwarding. This paper investigates a suitable data structure of the routing table in order to minimize the total routing time. The investigated structure of the routing table is based on RapidBase technique. It contains all the information necessary to forward an IP data packet toward its destination. The properties of the created routing table facilitate searching for the best matching prefix quicker than when using the current routing table where packets do not have to be queued before lookup. Additionally, the proposed algorithm's effectiveness is deliberated via simulation. A comparative study with recently published algorithms shows that our proposed scheme has a great impact on shortening the route lookup and update operations. For more enhancements, combinations of the proposed algorithm with the most popular algorithms are also studied.

关键词： computer networks

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Predicting circRNA-Disease Associations by Using Multi-Biomolecular Networks Based on Variational Graph Auto-Encoder with Attention Mechanism

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Chinese Journal of Electronics 2024年第6期33卷 1526-1537页

作者： Jing YANG Xiujuan LEI Yi PAN School of Computer Science Shaanxi Normal University Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology

CircRNA-disease association(CDA) can provide a new direction for the treatment of diseases. However,traditional biological experiment is time-consuming and expensive, this urges us to propose the reliable computational model to predict the associations between circRNAs and diseases. And there is existing more and more evidence indicates that the combination of multi-biomolecular information can improve the prediction accuracy. We propose a novel computational model for CDA prediction named MBCDA, we collect the multi-biomolecular information including circRNA, disease, miRNA and lncRNA based on 6 databases, and construct three heterogeneous network among them, then the multi-heads graph attention networks are applied to these three networks to extract the features of circRNAs and diseases from different views, the obtained features are put into variational graph auto-encoder(VGAE) network to learn the latent distributions of the nodes, a fully connected neural network is adopted to further process the output of VGAE and uses sigmoid function to obtain the predicted probabilities of circRNA-disease *** a result, MBCDA achieved the values of AUC and AUPR under 5-fold cross-validation of 0.893 and 0.887. MBCDA was applied to the analysis of the top-25 predicted associations between circRNAs and diseases, these experimental results show that our proposed MBCDA is a powerful computational model for CDA prediction.

关键词： Knowledge engineering Attention mechanisms Computational modeling Biological system modeling Predictive models Feature extraction Heterogeneous networks Topology Data mining Diseases

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Molecular Generation and Optimization of Molecular Properties Using a Transformer Model

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Big Data Mining and Analytics 2024年第1期7卷 142-155页

作者： Zhongyin Xu Xiujuan Lei Mei Ma Yi Pan School of Computer Science Shaanxi Normal UniversityXi'an 710119China Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Generating novel molecules to satisfy specific properties is a challenging task in modern drug discovery,which requires the optimization of a specific objective based on satisfying chemical ***,we aim to optimize the properties of a specific molecule to satisfy the specific properties of the generated *** Matched Molecular Pairs(MMPs),which contain the source and target molecules,are used herein,and logD and solubility are selected as the optimization *** main innovative work lies in the calculation related to a specific transformer from the perspective of a matrix *** intervals and state changes are then used to encode logD and solubility for subsequent *** the experiments,we screen the data based on the proportion of heavy atoms to all atoms in the groups and select 12365,1503,and 1570 MMPs as the training,validation,and test sets,*** models are compared with the baseline models with respect to their abilities to generate molecules with specific *** show that the transformer model can accurately optimize the source molecules to satisfy specific properties.

关键词： molecular optimization transformer Matched Molecular Pairs(MMPs) logD solubility

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Design of the electromagnetic mill and the air stream ratio model.

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IFAC-PapersOnLine 2017年第1期50卷 14964-14969页

作者： Wolosiewicz-Glb, M. Foszcz, D. Ogonowski, Sz. AGH University of Science and Technology Faculty of Mining and Geoengineering Department of Environmental Engineering and Mineral Processing Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Institute of Automatic Control Poland

Complex mineral raw materials processing is an essential operation in modern industry. Innovative technologies help in constant improving of the efficiency and performance. The paper presents a design of electromagnetic mill, its technological structure and control system. In comparison to conventional solutions, the electromagnetic mill is a fully automated system. It operates in more effective way. The proper selection of the physical and process parameters of the system is crucial for efficiency of the process. The device stands out because of its low energy consumption. The air stream ratio model has been presented for the dry grinding and classification unit with the electromagnetic mill. The concept of the grinding system is described along with indirect measurement methodology. Supervisory control algorithm based on the model structure is derived. © 2017

关键词： Structural design Algorithms Automation control systems Energy utilization Grinding (machining) Mineral industry Air streams Efficiency and performance electromagnetic mill Grinding media Indirect measurements Innovative technology Low energy consumption Technological structures

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Noise Reduction in Industry Based on Virtual Instrumentation

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computers, Materials & Continua 2021年第10期69卷 1073-1096页

作者： Radek Martinek Rene Jaros Jan Baros Lukas Danys Aleksandra Kawala-Sterniuk Jan Nedoma Zdenek Machacek Jiri Koziorek Faculty of Electrical Engineering and Computer Science Department of Cybernetics and Biomedical EngineeringVSB–Technical University of Ostrava70800Ostrava-PorubaCzechia Faculty of Electrical Engineering Automatic Control and InformaticsOpole University of TechnologyOpolePoland Faculty of Electrical Engineering and Computer Science Department of TelecommunicationsVSB–Technical University of Ostrava70800Ostrava-PorubaCzechia

This paper discusses the reduction of background noise in an industrial environment to extend *** the Industry 4.0 era,the mass development of voice control(speech recognition)in various industrial applications is possible,especially as related to augmented reality(such as hands-free control via voice commands).As Industry 4.0 relies heavily on radiofrequency technologies,some brief insight into this problem is provided,including the Internet of things(IoT)and 5G *** study was carried out in cooperation with the industrial partner Brose CZ spol.s.r.o.,where sound recordings were made to produce a *** experimental environment comprised three workplaces with background noise above 100 dB,consisting of a laser/magnetic welder and a press.A virtual device was developed from a given dataset in order to test selected commands from a commercial speech recognizer from *** tested a hybrid algorithm for noise reduction and its impact on voice command recognition *** virtual devices,the study was carried out on large speakers with 20 participants(10 men and 10 women).The experiments included a large number of repetitions(100 times for each command under different noise conditions).Statistical results confirmed the efficiency of the tested *** welding environment efficiency was 27%before applied filtering,76%using the least mean square(LMS)algorithm,and 79%using LMS+independent component analysis(ICA).Magnetic welding environment efficiency was 24%before applied filtering,70%with LMS,and 75%with LMS+*** workplace environment efficiency showed no success before applied filtering,was 52%with LMS,and was 54%with LMS+ICA.

关键词： 5G hybrid algorithms signal processing speech recognition

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Estimation of parameters of selected converter drives

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Archives of Electrical engineering 2012年第4期61卷 533-565页

作者： Beniak, Ryszard Faculty of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Sosnkowskiego 31 45-272 Opole Poland

The paper presents a method for estimation of converter drive parameters. This estimation encompassed three types of drives, i.e. a static Scherbius drive, a drive with a brushless direct current (BLDC) motor and a drive with a voltage inverter. For drive modelling and parameter estimation, the author implemented original programmes written in FORTRAN. As well as these, the paper describes an objective function applied for the estimation. The author also compares gradient and gradientless methods, which are applied for minimization of the objective function. Finally, the author explains the estimation results for example drives, focusing on the coincidence of theoretical and empirical waveforms. The abovementioned procedure led to the general rule, which facilitates estimation efficiency.

关键词： Parameter estimation

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GENERATION OF A TIME-SERIES HAVING A SPECIFIED POWER SPECTRUM WITH MINIMUM ROUNDOFF NOISE

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IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING 1989年第4期37卷 496-504页

作者： INOUYE, Y Department of Electrical and Computer Engineering University of Colorado Boulder CO USA Department of Control Engineering Faculty of Engineering Science Osaka University Toyonaka Osaka Japan

The problem of determining a shaping filter which minimized the output roundoff-noise variance is discussed. It is shown that in the family of shaping filters of an identical McMillan degree having an identical power spectrum, the shaping filter of minimum phase attains a minimum output roundoff-noise variance in either the case of optimal word lengths or the case of equal word lengths. It is shown out by examples that this is not valid in the family of shaping filters having an identical power spectrum and different McMillan degrees.

关键词： Identical Word shaping filter minimum minimum output power spectra Time series Filters word length family

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Computationally efficient method of simulation of an electric drive impact on the power grid

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Archives of Electrical engineering 2013年第1期62卷 77-90页

作者： Beniak, Ryszard Gardecki, Arkadiusz Opole University of Technology Faculty of Electrical Engineering Automatic Control and Computer Science Sosnkowskiego 31 45-272 Opole Poland

This paper presents a computationally efficient method for modelling an impact of the converter drive on the power grid. The formalized variable structure method (FVSM) allows for comprehensive studies of the effect on the power grid and examining the relation between this effect and the number of drive and feeding line parameters. In order to obtain a comprehensive model along with the model of the power grid, the parameters that are applied originate from a drive of a coal-fired power station. These parameters have been determined based on assessment and estimation. The estimation process was conducted with the aid of a model that allows for the commutation of power electronic elements. The authors confirmed that the model was correct by comparing empirical and theoretical voltage and current waveforms. Harmonic content of the voltage and current in the power grid which feeds the drive are considered to be the measure of the converter drive impact on the power grid. The standard method for the reduction of a harmonic content in the voltage and current involves the application of line reactors and distribution or converter transformers. As an example, the authors determine the impact of the drive on the power grid with respect to the adopted parameters of the line reactor. This example presents FVSM abilities with regard to simulation of complex systems that contain power grid components and converter drives.

关键词： Electric drives

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On-line fault detection of transmission line using artificial neural network

On-line fault detection of transmission line using artificia...

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International Conference on Power System Technology (POWERCON 2004)

作者： El Safty, SM Ashour, HA El Dessouki, H El Sawaf, M Electrical Engineering and Computer Control Dept. Faculty of Engineering Arab Academy for Science and Technology Egypt

ISBN: (纸本)0780386108

As the voltage and current waveforms are deformed due to transient during faults, their pattern changes according to the type of fault. The Artificial Neural Network (ANN) can then be used for fault detection due to its distinguished behavior in pattern recognition. In order to minimize the structure and timing of the ANN, preprocessing of the voltage and current waveforms was done. The data delivered from a simulated power system using PSCAD (EMTP with cad system) was used for training and testing the ANN. An experimental setup, consists of a 3 phase power supply module and transmission line module, is utilized. A set of signal conditioning circuits is designed and implemented in order to transfer data to a PC which is used as an on-line relay for fault detection. This is done via a data acquisition card (CIO-DAS1602/12). The Matlab program captures and processes real data for training the ANN. Applying different types of faults for testing the system, right tripping action was taken and the type of fault was correctly identified. The suggested artificial neural network algorithm has been found simple and effective hence could be implemented in practical application.

关键词： Electric current measurement

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Intelligent manufacturing: A new paradigm

Intelligent manufacturing: A new paradigm

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作者： Dumitrache, Ioan Caramihai, Simona Control Engineering and Computer Science Faculty University POLITEHNICA Bucharest Romania

The paper presents the evolution of manufacturing systems towards the paradigm of Intelligence in connection with the shaping of knowledge management as a formal discipline. Future trends in manufacturing are discusse... 详细信息

ISBN: (纸本)9783902661890

关键词： Cyber Physical System

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