International Journal of Applied Mathematics and Computer Science最新文献_第9页

A Multi–Source Fluid Queue Based Stochastic Model of the Probabilistic Offloading Strategy in a MEC System With Multiple Mobile Devices and a Single MEC Server 基于多源流体队列的MEC系统概率卸载策略随机模型

IF 1.9 4区计算机科学

International Journal of Applied Mathematics and Computer Science Pub Date : 2022-03-01 DOI: 10.34768/amcs-2022-0010

Huan Zheng, Shunfu Jin

引用次数: 20

A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks 触发模糊触发器神经网络的改进粒子群优化算法

IF 1.9 4区计算机科学

International Journal of Applied Mathematics and Computer Science Pub Date : 2021-12-01 DOI: 10.34768/amcs-2021-0039

Piotr A. Kowalski, T. Sloczynski

引用次数: 2

Discrete-time output observers for boundary control systems 边界控制系统的离散输出观测器

IF 1.9 4区计算机科学

International Journal of Applied Mathematics and Computer Science Pub Date : 2021-12-01 DOI: 10.34768/amcs-2021-0042

Z. Emirsajlow

{"title":"Discrete-time output observers for boundary control systems","authors":"Z. Emirsajlow","doi":"10.34768/amcs-2021-0042","DOIUrl":"https://doi.org/10.34768/amcs-2021-0042","url":null,"abstract":"Abstract The paper studies the output observer design problem for a linear infinite-dimensional control plant modelled as an abstract boundary input/output control system. It is known that such models lead to an equivalent state space description with unbounded control (input) and observation (output) operators. For this class of infinite-dimensional systems we use the Cayley transform to approximate the sophisticated infinite-dimensional continuous-time model by a discrete-time infinite-dimensional one with all involved operators bounded. This significantly simplifies mathematical aspects of the observer design procedure. As is well known, the essential feature of the Cayley transform is that it preserves various system theoretic properties of the control system model, which may be useful in analysis. As an illustration, we consider an example of designing an output observer for the one-dimensional heat equation with measured controls (inputs) in the Neumann boundary conditions, measured outputs in the Dirichlet boundary conditions and an unmeasured output at a fixed point within the domain. Numerical simulations of this example show that the interpolated continuous-time signal, obtained from the discrete-time observer, can be successfully used for tracking the continuous-time plant output.","PeriodicalId":50339,"journal":{"name":"International Journal of Applied Mathematics and Computer Science","volume":"27 1","pages":"613 - 626"},"PeriodicalIF":1.9,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90082708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A hierarchy of finite state machines as a scenario player in interactive training of pilots in flight simulators 有限状态机的层次结构在飞行模拟器飞行员交互训练中的应用

IF 1.9 4区计算机科学

International Journal of Applied Mathematics and Computer Science Pub Date : 2021-12-01 DOI: 10.34768/amcs-2021-0049

Małgorzata Bach, A. Werner, M. Mrozik, K. Cyran

{"title":"A hierarchy of finite state machines as a scenario player in interactive training of pilots in flight simulators","authors":"Małgorzata Bach, A. Werner, M. Mrozik, K. Cyran","doi":"10.34768/amcs-2021-0049","DOIUrl":"https://doi.org/10.34768/amcs-2021-0049","url":null,"abstract":"Abstract The paper presents the concept of a control unit, i.e., a scenario player, for interactive training pilots in flight simulators. This scenario player is modelled as a hierarchy of finite state machines. Such an approach makes it possible to separate the details of an augmented reality display device which is used in training, from the core module of the system, responsible for contextual organization of the content. Therefore, the first contribution of this paper is the mathematical model of the scenario player as a universal formulation of the self-trained control unit for interactive learning systems, which is applicable in a variety of situations not limited solely to flight simulator related procedures. The second contribution is an experimental verification achieved by extensive simulations of the model, which proves that the proposed approach is capable to properly self-organize details of the context information by tracing preferences of the end users. For that latter purpose, the original algorithm is derived from statistical analysis, including Bayesian inference. The whole approach is illustrated by a real application of training the preflight procedure for the captain of the Boeing 737 aircraft in a flight simulator.","PeriodicalId":50339,"journal":{"name":"International Journal of Applied Mathematics and Computer Science","volume":"123 1","pages":"713 - 727"},"PeriodicalIF":1.9,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75811197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

An ANN-based scalable hashing algorithm for computational clouds with schedulers 一种基于人工神经网络的可扩展散列算法

IF 1.9 4区计算机科学

International Journal of Applied Mathematics and Computer Science Pub Date : 2021-12-01 DOI: 10.34768/amcs-2021-0048

J. Tchórzewski, Agnieszka Jakóbik, M. Iacono

{"title":"An ANN-based scalable hashing algorithm for computational clouds with schedulers","authors":"J. Tchórzewski, Agnieszka Jakóbik, M. Iacono","doi":"10.34768/amcs-2021-0048","DOIUrl":"https://doi.org/10.34768/amcs-2021-0048","url":null,"abstract":"Abstract The significant benefits of cloud computing (CC) resulted in an explosion of their usage in the last several years. From the security perspective, CC systems have to offer solutions that fulfil international standards and regulations. In this paper, we propose a model for a hash function having a scalable output. The model is based on an artificial neural network trained to mimic the chaotic behaviour of the Mackey–Glass time series. This hashing method can be used for data integrity checking and digital signature generation. It enables constructing cryptographic services according to the user requirements and time constraints due to scalable output. Extensive simulation experiments are conduced to prove its cryptographic strength, including three tests: a bit prediction test, a series test, and a Hamming distance test. Additionally, flexible hashing function performance tests are run using the CloudSim simulator mimicking a cloud with a global scheduler to investigate the possibility of idle time consumption of virtual machines that may be spent on the scalable hashing protocol. The results obtained show that the proposed hashing method can be used for building light cryptographic protocols. It also enables incorporating the integrity checking algorithm that lowers the idle time of virtual machines during batch task processing.","PeriodicalId":50339,"journal":{"name":"International Journal of Applied Mathematics and Computer Science","volume":"47 1","pages":"697 - 712"},"PeriodicalIF":1.9,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82833887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Analysis of safeness in a Petri net-based specification of the control part of cyber-physical systems 基于Petri网的网络物理系统控制部分规范的安全性分析

IF 1.9 4区计算机科学

International Journal of Applied Mathematics and Computer Science Pub Date : 2021-12-01 DOI: 10.34768/amcs-2021-0045

Marcin Wojnakowski, R. Wiśniewski, Grzegorz Bazydło, Mateusz Poplawski

引用次数: 9

Neuro-adaptive cooperative control for high-order nonlinear multi-agent systems with uncertainties 高阶非线性不确定多智能体系统的神经自适应协同控制

IF 1.9 4区计算机科学

International Journal of Applied Mathematics and Computer Science Pub Date : 2021-12-01 DOI: 10.34768/amcs-2021-0044

Cheng Peng, Anguo Zhang, Junyu Li

引用次数: 3

Divisibility of the second-order minors of the nominators by minimal denominators of transfer matrices of cyclic fractional linear systems 循环分数阶线性系统转移矩阵的二阶次要项被最小分母的可整除性

IF 1.9 4区计算机科学

International Journal of Applied Mathematics and Computer Science Pub Date : 2021-12-01 DOI: 10.34768/amcs-2021-0043

T. Kaczorek

引用次数: 0

A hybrid two-stage SqueezeNet and support vector machine system for Parkinson’s disease detection based on handwritten spiral patterns 基于手写螺旋图案的两阶段SqueezeNet和支持向量机混合系统帕金森病检测

IF 1.9 4区计算机科学

International Journal of Applied Mathematics and Computer Science Pub Date : 2021-12-01 DOI: 10.34768/amcs-2021-0037

L. S. Bernardo, R. Damaševičius, V. H. Albuquerque, R. Maskeliūnas

{"title":"A hybrid two-stage SqueezeNet and support vector machine system for Parkinson’s disease detection based on handwritten spiral patterns","authors":"L. S. Bernardo, R. Damaševičius, V. H. Albuquerque, R. Maskeliūnas","doi":"10.34768/amcs-2021-0037","DOIUrl":"https://doi.org/10.34768/amcs-2021-0037","url":null,"abstract":"Abstract Parkinson’s disease (PD) is the second most common neurological disorder in the world. Nowadays, it is estimated that it affects from 2% to 3% of the global population over 65 years old. In clinical environments, a spiral drawing task is performed to help to obtain the disease’s diagnosis. The spiral trajectory differs between people with PD and healthy ones. This paper aims to analyze differences between handmade drawings of PD patients and healthy subjects by applying the SqueezeNet convolutional neural network (CNN) model as a feature extractor, and a support vector machine (SVM) as a classifier. The dataset used for training and testing consists of 514 handwritten draws of Archimedes’ spiral images derived from heterogeneous sources (digital and paper-based), from which 296 correspond to PD patients and 218 to healthy subjects. To extract features using the proposed CNN, a model is trained and 20% of its data is used for testing. Feature extraction results in 512 features, which are used for SVM training and testing, while the performance is compared with that of other machine learning classifiers such as a Gaussian naive Bayes (GNB) classifier (82.61%) and a random forest (RF) (87.38%). The proposed method displays an accuracy of 91.26%, which represents an improvement when compared to pure CNN-based models such as SqueezeNet (85.29%), VGG11 (87.25%), and ResNet (89.22%).","PeriodicalId":50339,"journal":{"name":"International Journal of Applied Mathematics and Computer Science","volume":"30 1","pages":"549 - 561"},"PeriodicalIF":1.9,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75508399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Forensic driver identification considering an unknown suspect 考虑到嫌疑人身份不明，法医鉴定司机身份

IF 1.9 4区计算机科学

International Journal of Applied Mathematics and Computer Science Pub Date : 2021-12-01 DOI: 10.34768/amcs-2021-0040

Klara Dolos, C. Meyer, A. Attenberger, Jessica Steinberger

{"title":"Forensic driver identification considering an unknown suspect","authors":"Klara Dolos, C. Meyer, A. Attenberger, Jessica Steinberger","doi":"10.34768/amcs-2021-0040","DOIUrl":"https://doi.org/10.34768/amcs-2021-0040","url":null,"abstract":"Abstract One major focus in forensics is the identification of individuals based on different kinds of evidence found at a crime scene and in the digital domain. Here, we assess the potential of using in-vehicle digital data to capture the natural driving behavior of individuals in order to identify them. We formulate a forensic scenario of a hit-and-run car accident with a known and an unknown suspect being the actual driver during the accident. Specific aims of this study are (i) to further develop a workflow for driver identification in digital forensics considering a scenario with an unknown suspect, and (ii) to assess the potential of one-class compared to multi-class classification for this task. The developed workflow demonstrates that in the application of machine learning in digital forensics it is important to decide on the statistical application, data mining or hypothesis testing in advance. Further, multi-class classification is superior to one-class classification in terms of statistical model quality. Using multi-class classification it is possible to contribute to the identification of the driver in the hit-and-run accident in both types of application, data mining and hypothesis testing. Model quality is in the range of already employed methods for forensic identification of individuals.","PeriodicalId":50339,"journal":{"name":"International Journal of Applied Mathematics and Computer Science","volume":"4 1","pages":"587 - 599"},"PeriodicalIF":1.9,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75198322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2