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Estimating the Properties of Ground-Waste-Brick Mortars Using DNN and ANN

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computer Modeling in Engineering & Sciences 2019年第1期118卷 207-228页

作者： Abdulkadir Karaci Hasbi Yaprak Osman Ozkaraca Ilhami Demir Osman Simsek department of computer Engineering Kastamonu UniversityKastamonuTurkey department of Civil Engineering Kastamonu UniversityKastamonuTurkey department of information systems Engineering Mugla Sitki Kocman UniversityTurkey department of Civil Engineering Kirikkale UniversityKirikkaleTurkey department of Civil Engineering Gazi UniversityAnkaraTurkey.

In this study,deep-neural-network(DNN)-and artificial-neural-network(ANN)-based models along with regression models have been developed to estimate the pressure,bending and elongation values of ground-brick(GB)-added mortar *** study is aimed at utilizing GB as a mineral additive in concrete in the ratios 0.0%,2.5%,5.0%,7.5%,10.0%,12.5%and 15.0%.In this study,756 mortar samples were produced for 84 different series and were cured in tap water(W),5%sodium sulphate solution(SS5)and 5%ammonium nitrate solution(AN5)for 7 days,28 days,90 days and 180 *** developed DNN models have three inputs and two hidden layers with 20 neurons and one output,whereas the ANN models have three inputs,one output and one hidden layer with 15 ***-five previously obtained experimental sample datasets were used to train these developed models and to generate the regression ***-nine non-training-attributed datasets were used to test the *** these test values were attributed to the trained DNN,ANN and regression models,the brick-dust pressure as well as the bending and elongation values have been observed to be very close to the experimental *** only a small fraction(30%)of the experimental data were used for training,both the models performed the estimation process at a level that was in accordance with the opinions of *** fact that this success has been achieved using very little training data shows that the models have been appropriately *** addition,the DNN models exhibited better performance as compared with that exhibited by the ANN *** regression model is a model whose performance is worst and unacceptable;further,the prediction error is observed to be considerably *** conclusion,ANN-and DNN-based models are practical and effective to estimate these values.

关键词： Deep neural network artificial neural networks ground-brick pressure,bending elongation

Performance analysis of ultra-wideband based wireless sensor networks in indoor office LOS environment

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Journal of Harbin Institute of Technology(New Series) 2012年第5期19卷 101-106页

作者：吴宣利罗超杨孝宗孙陆宽曹阳 School of computer Science and Technology Harbin Institute of Technology School of Electronics and information Engineering Harbin Institute of Technology

By analyzing the indoor office LOS channel model defined by IEEE 802.15.4a standard and deducing the variance for intra-symbol interference (IASI), inter-symbol interference (ISI) and multiuser interference (MUI), performance analysis model for ultra-wideband (UWB) based wireless sensor networks (WSN) is proposed, and the bit error rate (BER) formulation is also obtained. The comparison of performance analysis model with and without intra-symbol interference shows that the intra-symbol interference cannot be neglected and such interference will significantly decrease the system performance. In order to verify the proposed performance analysis model and BER formulation, the semi-definite programming (SDP) algorithm is used to obtain the pulses complying with the spectrum requirement of China and IEEE 802.15.4a standard, and by using such pulses, simulations and theoretical analysis are compared, the comparison results show the validity of the proposed performance analysis model and BER formulation.

关键词： ultra-wideband IEEE 802.15.4a BER performance analysis semi-definite programming

Competitive Multi-Verse Optimization with Deep Learning Based Sleep Stage Classification

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computer systems Science & Engineering 2023年第5期45卷 1249-1263页

作者： Anwer Mustafa Hilal Amal Al-Rasheed Jaber SAlzahrani Majdy M.Eltahir Mesfer Al Duhayyim Nermin M.Salem Ishfaq Yaseen Abdelwahed Motwakel department of computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia department of information systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia department of information systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia department of computer Science College of Sciences and Humanities-AflajPrince Sattam Bin Abdulaziz UniversitySaudi Arabia department of Electrical Engineering Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo11835Egypt

Sleep plays a vital role in optimum working of the brain and the *** people suffer from sleep-oriented illnesses like apnea,insomnia,*** stage classification is a primary process in the quantitative examination of polysomnographic *** stage scoring is mainly based on experts’knowledge which is laborious and time ***,it can be essential to design automated sleep stage classification model using machine learning(ML)and deep learning(DL)*** this view,this study focuses on the design of Competitive Multi-verse Optimization with Deep Learning Based Sleep Stage Classification(CMVODL-SSC)model using Electroencephalogram(EEG)*** proposed CMVODL-SSC model intends to effectively categorize different sleep stages on EEG ***,data pre-processing is performed to convert the actual data into useful ***,a cascaded long short term memory(CLSTM)model is employed to perform classification *** last,the CMVO algorithm is utilized for optimally tuning the hyperparameters involved in the CLSTM *** order to report the enhancements of the CMVODL-SSC model,a wide range of simulations was carried out and the results ensured the better performance of the CMVODL-SSC model with average accuracy of 96.90%.

关键词： Signal processing EEG signals sleep stage classification clstm model deep learning cmvo algorithm

Virtual network embedding for hybrid cloud rendering in optical and data center networks

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Science China(information Sciences) 2016年第2期59卷 139-152页

作者： Weigang HOU Lei GUO School of computer Science and Engineering Northeastern University State Key Laboratory of Networking and Switching Technology State Key Laboratory of information Photonics and Optical Communications

Animation rendering consumes massive computation time, therefore cloud rendering is emerging as a solution. Cloud rendering runs over the Data Center Network(DCN) and consolidates heterogeneous DC resources into a single cloud renderfarm, where plentiful computing resources can sufficiently accelerate any rendering process. And if one user wants to get a quick animation result, a high-speed optical interconnection is an urgent requirement, thus cloud rendering needs a convergence of Optical and DCN(ODCN) as the substrate network. In the ODCN supporting cloud rendering, each rendering task will be successfully handled only when we embed its virtual network into the cloud renderfarm. But because a virtual network includes virtual machines and virtual lightpaths, we must simultaneously perform the node-level mapping between virtual machine and server, as well as link-level mapping between virtual lightpath and fiber link(s). In addition, the joint implementation of the Photorealistic cloud Rendering(PR) and Non-Photorealistic cloud Rendering(NPR) should be considered to exhibit the unique animation effect with the low mapping cost. In this paper, considering the unique characteristic of hybrid cloud rendering, we flexibly select routing strategies according to the rendering task type. We then utilize server consolidation and traffic grooming to achieve node- and link-level mappings,respectively, thus building a mapping-cost-aware cloud renderfarm that includes multiple virtual networks. The mathematical formulation is also made with a bound analysis. Especially for the lower bound, we analyze the least number of servers and wavelengths(i.e., mapping cost) consumed by hybrid cloud rendering. In terms of heuristics, according to the processing order of rendering tasks, Smaller Virtual Resource First(SVRF) and Manycast Routing First(MRF) algorithms are proposed by us. In SVRF, NPR tasks are first tackled and then PR tasks follow. MRF is a reverse process of SVRF. The simu

关键词： hybrid cloud rendering optical and data center network virtual network embedding mapping cost lower bound

Design of the multirobot intelligent team formation's control architecture and performance analysis of the system

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Journal of Harbin Institute of Technology(New Series) 2007年第1期14卷 124-129页

作者：王醒策顾国昌张汝波刘海波 College of information Science and Technology Beijing Normal University College of computer Science and Technology Harbin Engineering University

The layered control architecture is designed for the need of the multirobot intelligent team *** are three levels:the cooperation task level,the coordination behavior level and the action planning *** cooperation task level uses the potential grid method,which improves the safety of the path and reduces the calculation *** coordination behavior level uses the reinforcement learning which can strengthen the robots’ *** action planning level uses the fuzzy planning methods to realize the action *** communication model transfers the message in different *** architecture shows not only the independence and the intelligence of the single robot but also the cooperation and the coordination among the *** each level,the task is distributed reasonably and *** the feasibility of the architecture is verified further in the simulation of the *** expansibility of the architecture is good and the architecture can be used in the similar system.

关键词： multirobot multiagent system architecture plan

Speech Encryption in Linear Canonical Transform Domain Based on Chaotic Dynamic Modulation

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Journal of Beijing Institute of Technology 2021年第3期30卷 295-304页

作者： Liyun Xu Tong Zhang Chao Wen Institute of Big Data Science and Industry School of Computer and Information TechnologyShanxi UniversityTaiyuan 030006China

In order to transmit the speech information safely in the channel,a new speech encryp-tion algorithm in linear canonical transform(LCT)domain based on dynamic modulation of chaot-ic system is *** algorithm first uses a chaotic system to obtain the number of sampling points of the grouped encrypted *** three chaotic systems are used to modulate the corres-ponding parameters of the LCT,and each group of transform parameters corresponds to a group of encrypted ***,each group of signals is transformed by LCT with different ***-nally,chaotic encryption is performed on the LCT domain spectrum of each group of signals,to realize the overall encryption of the speech *** experimental results show that the proposed algorithm is extremely sensitive to the keys and has a larger key *** with the original signal,the waveform and LCT domain spectrum of obtained encrypted signal are distributed more uniformly and have less correlation,which can realize the safe transmission of speech signals.

关键词： communication security linear canonical transform transform domain encryption chaotic system

Metric-Based Resolvability of Quartz Structure

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computers, Materials & Continua 2022年第4期71卷 2053-2071页

作者： Muhammad Imran Ali Ahmad Muhammad Azeem Kashif Elahi department of Mathematical Sciences United Arab Emirates UniversityAl AinUnited Arab Emirates College of computer Science&information Technology Jazan University JazanSaudi Arabia department of Aerospace Engineering Faculty of EngineeringUniversiti Putra MalaysiaMalaysia Deanship of E-learning and information Technology Jazan UniversityJazanSaudi Arabia

Silica has three major varieties of crystalline. Quartz is the main andabundant ingredient in the crust of our earth. While other varieties are formedby the heating of quartz. Silica quartz is a rich chemical structure containingenormous properties. Any chemical network or structure can be transformedinto a graph, where atoms become vertices and the bonds are converted toedges, between vertices. This makes a complex network easy to visualize towork on it. There are many concepts to work on chemical structures in termsof graph theory but the resolvability parameters of a graph are quite advanceand applicable topic. Resolvability parameters of a graph is a way to getting agraph into unique form, like each vertex or edge has a unique identification bymeans of some selected vertices, which depends on the distance of vertices andits pattern in a particular graph. We have dealt some resolvability parametersof SiO2 quartz. We computed the resolving set for quartz structure and itsvariants, wherein we proved that all the variants of resolvability parameters ofquartz structures are constant and do not depend on the order of the graph.

关键词： Quartz polycyclic aromatic hydrocarbon related structure metric dimension metric or distance-based resolvability parameters

Binary Archimedes Optimization Algorithm for Computing Dominant Metric Dimension Problem

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Intelligent Automation & Soft Computing 2023年第10期38卷 19-34页

作者： Basma Mohamed Linda Mohaisen Mohammed Amin Mathematics and computer Science department Faculty of ScienceMenoufia UniversityShebin Elkom32511Egypt Faculty of computer and information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia

In this paper,we consider the NP-hard problem of finding the minimum dominant resolving set of graphs.A vertex set B of a connected graph G resolves G if every vertex of G is uniquely identified by its vector of distances to the vertices in B.A resolving set is dominating if every vertex of G that does not belong to B is a neighbor to some vertices in *** dominant metric dimension of G is the cardinality number of the minimum dominant resolving *** dominant metric dimension is computed by a binary version of the Archimedes optimization algorithm(BAOA).The objects of BAOA are binary encoded and used to represent which one of the vertices of the graph belongs to the dominant resolving *** feasibility is enforced by repairing objects such that an additional vertex generated from vertices of G is added to B and this repairing process is iterated until B becomes the dominant resolving *** is the first attempt to determine the dominant metric dimension problem *** proposed BAOA is compared to binary whale optimization(BWOA)and binary particle optimization(BPSO)*** results confirm the superiority of the BAOA for computing the dominant metric dimension.

关键词： Dominant metric dimension archimedes optimization algorithm binary optimization alternate snake graphs

Innovative Batik Design with an Interactive Evolutionary Art system

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Journal of computer Science & Technology 2009年第6期24卷 1035-1047页

作者：李扬胡长军姚新 School of information Engineering University of Science and Technology Beijing The Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA)School of computer Science University of Birmingham

This paper describes an evolutionary art system, which explores the potential ability of evolutionary computation in Batik design. We investigate the use of Interactive Evolutionary Algorithm （IEA） in our system, with the goal of enhancing user＇s creativity to generate innovative Batik-like patterns. We focus mainly on two crucial aspects of the system. First, a new representation is proposed to capture the features in Batik and create innovative patterns through evolutionary processes. Second, an out-breeding mechanism is applied to our system, in order to sustain user＇s interest for a longer period. Our system can search a much larger design space than other systems and can avoid being trapped in a local optimum. We describe the system in detail and the methodology we have adopted in the system. ＂Our experimental results have shown that our newly developed system is effective and has great potentials in evolving novel Batik design.

关键词： Batik design evolutionary art system interactive evolutionary computation