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Operational control of probabilistic processes in a multi-stage specialized system 多阶段专用系统中概率过程的运行控制
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-06-01 DOI: 10.59035/kdzi3377
O. Kravets, I. Aksenov, P. Rahman, I. Atlasov, Yu. R. Redkin, O. Frantsisko, O. Zaslavskaya
A process consisting of sequential operations is considered. For each operation, you can determine the currently available probability of its error-free (high-quality) execution. By the qualitative performance of the operation, we will understand the achievement of a given level of quality in quantitative proportion to the overall level. The purpose of the article is to build a quality management strategy in which a set of probabilities of quality levels not less than a certain threshold value is achieved, with minimal costs for carrying out appropriate measures. The article presents the decomposition of operations into activities; classification of activities into activities with conditionally linear or asymptotic response; quality assessment in a multi-level control system with response functions of various types; optimization problems and their algorithmic solutions.
考虑一个由顺序操作组成的过程。对于每个操作,您可以确定其无错误(高质量)执行的当前可用概率。通过操作的定性表现,我们将了解在总体水平的定量比例中达到一定水平的质量。本文的目的是建立一种质量管理策略,在该策略中,质量水平的一组概率不低于某个阈值,并且以最小的成本执行适当的措施。本文提出将业务分解为活动;活动分类为有条件线性或渐近响应的活动;具有多种响应函数的多级控制系统的质量评价优化问题及其算法解决方案。
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引用次数: 1
Enhancing student performance prediction through stream analysis dataset using modified XGBoost algorithm 使用改进的XGBoost算法通过流分析数据集增强学生成绩预测
Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-06-01 DOI: 10.59035/knug1085
Nityashree Nadar
In the education domain, predicting the academic performance of students has become an essential task to improve learning outcomes. In this study, we propose a Modified XGBoost (MXGB) model for predicting student performance using stream-based analysis of the dataset. We used a modified version of the XGBoost algorithm using cross-validation, which incorporates stream-based analysis to enhance its performance on real-time data. We preprocessed the dataset and applied feature engineering techniques to extract relevant features for building the model. We trained the MXGB model on the preprocessed dataset and evaluated its performance using various metrics such as accuracy, precision, sensitivity, and F1-score. The results show that our model outperforms the baseline XGBoost model and achieves high accuracy in predicting the student's academic performance. Our model can assist educational institutions in identifying students who are at risk of performing poorly and providing them with timely intervention to improve their academic outcomes.
在教育领域,预测学生的学习成绩已经成为提高学习成果的一项重要任务。在这项研究中,我们提出了一个改进的XGBoost (MXGB)模型,用于使用基于流的数据集分析来预测学生的表现。我们使用了XGBoost算法的修改版本,使用交叉验证,它结合了基于流的分析来增强其在实时数据上的性能。我们对数据集进行预处理,并应用特征工程技术提取相关特征以构建模型。我们在预处理数据集上训练MXGB模型,并使用各种指标(如准确性、精度、灵敏度和f1分数)评估其性能。结果表明,我们的模型优于基线XGBoost模型,在预测学生的学习成绩方面达到了很高的准确性。我们的模型可以帮助教育机构识别有可能表现不佳的学生,并为他们提供及时的干预,以提高他们的学业成绩。
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引用次数: 0
Inference and performance aware multi-channel scheduling and routing scheme with call admission control in wireless mesh networks 基于推理和性能感知的无线网状网络呼叫接纳控制多通道调度和路由方案
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-03-01 DOI: 10.59035/xuys3831
K. Mathad, M. Math
As wireless mesh networks have been deployed in the urban area, dynamic channel allocation is more challengeable because co-located wireless mediums are likely to be tuned to the same channels and may interfere with communication. Further, existing model doesn’t consider reutilizing routing resource. This paper presents an efficient scheduling and routing model considering an external interference and routing resource reutilization for multi-channel wireless mesh networks. Each mesh node uses a novel technique to estimate the usage status of all the channels within its interference range and assigns channels dynamically to radios to minimize interference within the mesh network and between the mesh network and collocated wireless networks. Simulation results demonstrate that our proposed algorithm can improve the network throughput, reduce packet failure rate and consume more energy while transmission substantially compared to other algorithms by removing the interference overestimation problem and assigning channels aggressively with priority.
随着无线网状网络在城市地区的部署,动态信道分配变得更加具有挑战性,因为同址的无线介质很可能被调谐到相同的信道,并且可能干扰通信。此外,现有模型没有考虑路由资源的再利用。针对多通道无线网状网络,提出了一种考虑外部干扰和路由资源复用的高效调度路由模型。每个网格节点使用一种新颖的技术来估计其干扰范围内所有信道的使用状况,并动态地将信道分配给无线电,以减少网状网络内部以及网状网络与并置无线网络之间的干扰。仿真结果表明,与其他算法相比,该算法消除了干扰估计过高的问题,并积极地按优先级分配信道,从而大大提高了网络吞吐量,降低了数据包故障率,并在传输时消耗了更多的能量。
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引用次数: 0
Computer simulation of strength testing of an object based on signal shaped resources 基于信号形资源的物体强度测试计算机模拟
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-03-01 DOI: 10.59035/fpon6910
S. Zelmanov, V. Krylov
Considered the problem of the effectiveness of the proposed and protected method for testing systems and structures, based on the use of the impulse response of the test object as an optimal test signal. The purpose of the study is to confirm the gain in the magnitude of the response of the test object to the optimal signal compared to traditional methods. To solve the considered problem, an approach based on the representation of the test object in the form of a matched filter is proposed. As a result of computer simulation of the procedure for the impact of various test signals on the test object, it was possible to show the advantage of the optimal test signal in the form of the maximum response of the test object to it.
基于使用被测对象的脉冲响应作为最优测试信号,考虑了所提出和保护的测试系统和结构方法的有效性问题。研究的目的是确认与传统方法相比,测试对象对最佳信号的响应幅度的增益。为了解决所考虑的问题,提出了一种基于匹配过滤器形式的测试对象表示方法。由于计算机模拟了各种测试信号对测试对象的影响过程,因此有可能以测试对象对其最大响应的形式显示最佳测试信号的优势。
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引用次数: 0
Medical information technology for decision-making taking into account the norms of civil law 医疗信息技术决策考虑到民法规范
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-03-01 DOI: 10.59035/yvmt7964
Y. Hnatchuk, T. Hovorushchenko, Daria Shteinbrekher, A. Boyarchuk, T. Kysil
The task of this study is the design of medical information technology for decision-making taking into account the norms of civil law. The proposed medical information technology ensures the support when making medical decisions about the opportunity of reproductive technologies use (in vitro fertilization, surrogate motherhood), about the opportunity of transplantation and donation, about the opportunity of providing general medical services, about the opportunity of providing therapeutic services, about the opportunity of providing dental services, about the opportunity of vaccination. In addition, the designed information technology automates medical decision-making, minimizes the impact on medical decision-making, takes into account the norms of civil law when making medical decisions.
本研究的任务是考虑民法规范的医疗信息技术决策设计。拟议的医疗信息技术确保在作出以下医疗决定时提供支持:使用生殖技术的机会(体外受精、代孕母亲)、移植和捐赠的机会、提供一般医疗服务的机会、提供治疗服务的机会、提供牙科服务的机会、接种疫苗的机会。此外,所设计的信息技术使医疗决策自动化,最大限度地减少对医疗决策的影响,在做出医疗决策时考虑民法规范。
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引用次数: 0
Secure efficient task communication mechanisms for Big Data environment 大数据环境下安全高效的任务通信机制
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-03-01 DOI: 10.59035/ezob4017
Vinod Desai, D. Annappaiah
In this paper, a Secure Efficient Task Communication (SETC) Mechanism for Big data environment has been proposed. The SETC mechanism detects the oscillating device efficiently (detects the good and bad behaviour of the node). The results have been compared with the current reliability-based security methods. The SETC method has achieved very good detection rate, reduced the detection failure rate, and provided high reliability in comparison to the current reliability-based security methods. It has been seen that the current reliability-based security methods fail to address the issue of the dynamic behaviour of the sensor nodes and feedback-reliability. In addition, in comparison to the conventional cryptography-based authentication method, the reputation-based security system is far more effective at determining the behaviour of the user.
提出了一种适用于大数据环境的安全高效任务通信(SETC)机制。SETC机制有效地检测振荡设备(检测节点的良好和不良行为)。结果与目前基于可靠性的安全方法进行了比较。与目前基于可靠性的安全方法相比,SETC方法实现了很好的检测率,降低了检测失败率,提供了很高的可靠性。目前基于可靠性的安全方法未能解决传感器节点的动态行为和反馈可靠性问题。此外,与传统的基于密码的身份验证方法相比,基于声誉的安全系统在确定用户行为方面要有效得多。
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引用次数: 0
Dragonfly soft-computing approach for workload scheduling resource utilization maximization using multi-cloud platform 基于多云平台的工作负载调度资源利用最大化的蜻蜓软计算方法
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-03-01 DOI: 10.59035/mbul3714
Arundhati Nelli, R. Jogdand
The execution of the real-time workload in the multi-cloud platform with the Service Level Agreement (SLA) requirements is a challenging task. Existing workload scheduling models have addressed issues related to minimizing execution time, cost, and energy with application reliability prerequisite. However, these models are not efficient in maximizing resource utilization under a multi-cloud platform. In addressing resource utilization issues, this paper presents a Workload Scheduling Resource Utilization Maximization (WS-RUM) technique for the multi-cloud platform. The WS-RUM technique leverages a multi-objective such as energy, processing efficiency, and fault-tolerant offloading mechanism employing a dragonfly soft computing algorithm. The WS-RUM improves resource utilization by minimizing both energy and processing time for real-time workload execution in comparison with existing workload execution.
在具有服务水平协议(SLA)需求的多云平台中执行实时工作负载是一项具有挑战性的任务。现有的工作负载调度模型已经解决了在应用程序可靠性前提下最小化执行时间、成本和精力的相关问题。然而,在多云平台下,这些模型在最大化资源利用方面效率不高。为了解决资源利用问题,本文提出了一种用于多云平台的工作负载调度资源利用最大化(WS-RUM)技术。WS-RUM技术利用多目标,如能源、处理效率和容错卸载机制,采用蜻蜓软计算算法。与现有工作负载执行相比,WS-RUM通过最小化实时工作负载执行的能量和处理时间来提高资源利用率。
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引用次数: 0
Empirical evaluation of the transfer of information resources in active learning 主动学习中信息资源迁移的实证评价
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-03-01 DOI: 10.59035/wzfu1905
R. Romansky
Active learning is an alternative to traditional learning, using the capabilities of the global network to access remote information resources. The purpose of the article is to analyse the sources and factors of delay in the implementation of network services and the possibilities of access to distributed information objects depending on their size and remoteness. The research was conducted by collecting empirical data (monitoring) on the transfer of resources between client and server. A research organization model was developed and an implementation application was created. Experiments were carried out, and the obtained results were summarized and presented through statistical evaluations and graphical interpretation.
主动学习是传统学习的另一种选择,它利用全球网络的能力来访问远程信息资源。本文的目的是分析网络服务实现延迟的来源和因素,以及根据其大小和远程性访问分布式信息对象的可能性。本研究是通过收集客户端和服务器之间资源传输的经验数据(监控)来进行的。开发了一个研究组织模型,并创建了一个实现应用程序。进行了实验,并通过统计评价和图形解释对得到的结果进行了总结和介绍。
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引用次数: 4
A special mathematical model for the study of electrical circuits components by the method of differential inclusions 用微分包涵法研究电路元件的一种特殊数学模型
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-03-01 DOI: 10.59035/girq4188
N. Hien, L. Phuong, V. Bolnokin
Many information technologies for numerical analysis of electrical circuit parameters have been developed. The peculiarity of these methods is their applicability not only to DC but also AC circuits, not only to linear but also nonlinear circuits. This paper introduces the special mathematical model for rectifier circuits using semiconductor diodes. In previous studies, the rectifier circuit has been modelled by differential inclusions. However, the inclusions cannot be solved by the applied programs of information technology. In this paper, the new model writing by differential equation with a special right hand side is studied to replace the classical model. The main result of this is presented in a theorem that gives the correctness of the new model. The usefulness of this study is illustrated via a concrete example.
许多用于电路参数数值分析的信息技术已经发展起来。这些方法的特点是既适用于直流电路,也适用于交流电路,既适用于线性电路,也适用于非线性电路。本文介绍了半导体二极管整流电路的特殊数学模型。在以前的研究中,整流电路是用微分内含物来模拟的。然而,这些夹杂物并不能通过信息技术的应用程序来解决。本文研究了用带特殊右侧的微分方程表示的新模型来代替经典模型。其主要结果是在一个定理中给出了新模型的正确性。通过一个具体的例子说明了本研究的有效性。
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引用次数: 1
Pre-copy live virtual machine migration techniques in cloud computing using HDWHM algorithm 基于HDWHM算法的云计算预拷贝实时虚拟机迁移技术
IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-03-01 DOI: 10.59035/zgnk2556
N. Devi, S. Sushanth Kumar
Live Virtual Machine (VM) migration is a legacy of server virtualization in cloud computing. One of the difficulties in a Virtual Machine (VM) Environment is load balancing, and the pre-copy migration strategy is both time-consuming and expensive. In this paper, we propose an efficient VM migration strategy to compute the parameters for Linear Adam Algorithm overload detection and Interquartile Range (IQR) under-loaded identification, the Central Processing Unit (CPU) utilization is sufficient. VMs require constant network traffic, storage, CPU, and memory demands. This study recommends using the novel Hamming Distance-Based Weighted Harmonic Mean (HDWHM) strategy for pre-copy live VM migration. We tested the suggested strategy using datasets from CloudSim-3.0.3 on a real PlanetLab. Simulations show that the suggested approach decreases host downtimes, energy consumption, VM migrations, and SLA degradation.
实时虚拟机(VM)迁移是云计算中服务器虚拟化的遗留问题。虚拟机(VM)环境中的困难之一是负载平衡,预拷贝迁移策略既耗时又昂贵。本文提出了一种有效的虚拟机迁移策略来计算线性亚当算法的过载检测和四分位范围(IQR)欠载识别参数,使中央处理器(CPU)的利用率足够。虚拟机对网络流量、存储、CPU和内存的需求是恒定的。本研究建议使用新的基于Hamming距离的加权谐波平均(HDWHM)策略进行预复制实时VM迁移。我们使用CloudSim-3.0.3中的数据集在真实的PlanetLab上测试了建议的策略。仿真表明,建议的方法减少了主机停机时间、能耗、VM迁移和SLA降级。
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引用次数: 0
期刊
International Journal on Information Technologies and Security
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