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Dense Elements in B-Almost Distributive Fuzzy Lattices b -概分配模糊格中的密集元素
Q4 Mathematics Pub Date : 2022-07-20 DOI: 10.17762/msea.v71i3s2.210
K. R. V. Maheswari, V. Balaji
In this paper we define the concept of a dense element in a B-Almost Distributive Fuzzy Lattice BADFL   and prove that the set  of all dense elements of  is an implicative filter of . Also, we establish a fuzzy epimorphism of  into the set of all closed elements ofand prove the existence of an fuzzy epimorphism of  into . We prove that and are fuzzy isomorphic.
本文定义了B-概分布模糊格BADFL中稠密元素的概念,并证明了的所有稠密元素的集合是的蕴涵滤子。此外,我们在的所有闭元的集合中建立了一个到的模糊同态,并证明了到的模糊同构的存在性。我们证明了和是模糊同构的。
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引用次数: 0
A Narrowing Analysis on Sound Loss during Transmission on Perforated Natural Fiber Panels 穿孔天然纤维板传声损失的窄化分析
Q4 Mathematics Pub Date : 2022-07-19 DOI: 10.17762/msea.v71i3s.27
Dr. Dolamani Sahu, Dr. Anil Kumari, Dr. Akanksha
Sound transmission misfortune (STL) is a learn about the sound energy that is kept from communicating through a wall or a parcel, it is fundamental, particularly for clamor protection applications. The principal point of this study is to explore and dissect the STL ability of punctured normal fiber sandwich boards, which went about as sound protection material. The target of this study is to decide the impact of hole width of the punctured board on STL, as well as to decide the ideal hybridization blend sandwich board of punctured board with normal fiber that conveys great STL. In this review, STL estimation was done by utilizing a two-load impedance tube strategy combined with LMS Test Lab programming and LMS SCADAS Mobile DAQ framework. Normal filaments utilized in this study are coconut fiber, oil palm fiber, and pineapple leaf fiber. The normal filaments were ready in round and hollow shapes with three unique thicknesses of 1 cm, 2 cm, and 3 cm to squeeze into the example holder of the impedance tube. Every regular fiber will be tried after it was hybridized with a punctured board of various hole breadth sizes and the STL estimation results are gotten and investigated. The estimation results show all examples had reached their most noteworthy STL at the recurrence range 3000 Hz to 4000 Hz. Furthermore, pineapple leaf fiber hybridized with a punctured board of 3 mm's whole breadth is viewed as the ideal blend where it accomplished the most noteworthy STL of 71.80 dB among all the test tests.
声音传输不幸(STL)是对通过墙壁或包裹无法通信的声能的了解,它是基本的,特别是对于噪音保护应用。本研究的主要目的是探索和剖析穿孔普通纤维夹芯板作为隔音材料的STL性能。本研究的目的是确定穿孔板的孔宽度对STL的影响,以及确定理想的穿孔板与普通纤维的杂交混合夹芯板,以传递良好的STL。在这篇综述中,STL估计是通过利用双负载阻抗管策略,结合LMS Test Lab编程和LMS SCADAS Mobile DAQ框架进行的。本研究中使用的正常细丝是椰子纤维、油棕纤维和菠萝叶纤维。将普通细丝准备成圆形和中空形状,具有1cm、2cm和3cm的三种独特厚度,以挤压到阻抗管的示例支架中。将每根规则纤维与不同孔径的穿孔板杂交后进行试验,得到并研究了STL估计结果。估计结果表明,所有实例在3000 Hz至4000 Hz的重现范围内都达到了最值得注意的STL。此外,菠萝叶纤维与整个宽度为3mm的穿孔板杂交被视为理想的混合物,在所有测试中,它实现了71.80dB的最值得注意的STL。
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引用次数: 0
Design and Implementation of Virtual Machine Migration Method in Cloud Computing 云计算中虚拟机迁移方法的设计与实现
Q4 Mathematics Pub Date : 2022-07-19 DOI: 10.17762/msea.v71i3s.14
Shubhashish Goswami, Digvijay Singh, Sachin Sharma
The cloud is a communication architecture that includes virtual machines, data centers, hosts, and brokers. For cloudlet execution, the broker looks for the most reliable virtual machine. Uncertainty may arise in the network as to which system is overloaded. A work technique is proposed in this study to improve the system's fault tolerance. The proposed enhancement is based on the ACO algorithm, which can determine the best virtual machine to migrate a cloudlet to. The proposed algorithm's performance is being evaluated on Cloudsim in terms of execution time and energy consumption. When compared to TESA, the simulation results showed that ACO (Ant Colony Optimization) takes the least amount of time and energy to run (Three Step Encryption Algorithm). The proposed algorithm can be used in cloud computing for load balancing.
云是一种通信体系结构,包括虚拟机、数据中心、主机和代理。对于cloudlet执行,代理程序会寻找最可靠的虚拟机。网络中可能会出现哪个系统过载的不确定性。本文提出了一种提高系统容错性的工作技术。所提出的增强基于ACO算法,该算法可以确定将cloudlet迁移到的最佳虚拟机。正在Cloudsim上评估所提出算法的执行时间和能耗性能。与TESA相比,仿真结果表明,蚁群优化算法(ACO)运行时间和精力最少(三步加密算法)。所提出的算法可以用于云计算中的负载平衡。
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引用次数: 0
Development of Modern Approaches to Exchange-Traded Financial Asset Evaluation 交易所交易金融资产评估现代方法的发展
Q4 Mathematics Pub Date : 2022-07-19 DOI: 10.17762/msea.v71i3s.6
Andrey V. Koren, Tatiana E. Danilovskikh, Tatiana V. Ershova
Estimation of exchange-traded financial asset fair value is one of the most important tasks in modern financial science. However, the importance of methods for prediction of future prices is constantly changing. The study provides a comparative analysis of fundamental and technical analysis methods, reveals their advantages and disadvantages. Such characteristics of fundamental analysis as profit, income, profitability and the level of debt burden are considered in detail, the degree of their influence on the price of securities is analyzed. After the study, conclusions were drawn about the increasingly narrow use of technical analysis during short-term and investment problem solution. A prediction is given for a further decrease of fundamental analysis importance as the main method of assessment. To obtain these conclusions, we used statistical data reflecting the dynamics of exchange-traded assets when companies entered IPOs. The data obtained indicate a clear correlation between the innovation component of a business, market share and its price. At the same time, the company profit has finally ceased to be the main characteristic of the business during its assessment. Additionally, they studied the relationship between the fairness of exchange-traded asset evaluation and quantitative easing (QE) programs. Conclusions are made about the need to increase the forecast prices in the case of a soft monetary policy application.
交易所交易金融资产公允价值的估计是现代金融科学的重要课题之一。然而,预测未来价格的方法的重要性在不断变化。本研究对基础分析方法和技术分析方法进行了比较分析,揭示了它们的优缺点。详细考虑了基本面分析的利润、收入、盈利能力和债务负担水平等特征,分析了它们对证券价格的影响程度。通过研究,得出了技术分析在短期和投资问题解决中的应用越来越狭隘的结论。预测基础分析作为主要评价方法的重要性将进一步下降。为了得到这些结论,我们使用了反映公司进入ipo时交易所交易资产动态的统计数据。获得的数据表明,企业的创新成分、市场份额和价格之间存在明显的相关性。同时,在其评估过程中,公司利润最终不再是企业的主要特征。此外,他们还研究了交易所交易资产评估公平性与量化宽松(QE)计划之间的关系。结论是,在软货币政策应用的情况下,需要提高预测价格。
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引用次数: 0
Control of Attacks by Neural Networks to Make Batch Amplitude Disturbances and Manhattan-Distance Constraints Counterproductive 控制神经网络攻击使批振幅扰动和曼哈顿距离约束产生反效果
Q4 Mathematics Pub Date : 2022-07-19 DOI: 10.17762/msea.v71i3s.18
Dr. Dev Ras Pandey, Dr. Atul Bhardwaj, Dr. Nidhi Mishra
As of late, with the advancement of profound learning innovation, brain networks assume an undeniably significant part in an ever increasing number of fields. Notwithstanding, research shows that brain networks are helpless against the assault of ill-disposed models. The reason for this paper is to concentrate on the standard of ill-disposed models age and propose another technique for creating antagonistic models. Contrasted and existed strategies, our technique accomplishes better misdirection rate and bothers less pixels of pictures. During an age in clump aspect emphasis, different pixels are irritated while Manhattan-Distance imperatives are added to them. Our calculation performs well in tests. Contrasted and Carlini-Wagner technique, just 60 additional aspects are bothered, which demonstrates that the calculation cost of our calculation is totally OK. Plus, contrasted and FGSM calculation, the duplicity rate increments by 12% while the age seasons of them are practically same.
近年来,随着深度学习创新的推进,大脑网络在越来越多的领域发挥着不可否认的重要作用。尽管如此,研究表明,大脑网络对不良模型的攻击无能为力。本文的目的是集中研究不良模型年龄的标准,并提出另一种创建对抗模型的技术。与现有的策略相比,我们的技术实现了更好的误导率,并减少了对图片像素的干扰。在一个强调聚集方面的时代,不同的像素会被激怒,而曼哈顿距离的必要性会被添加到它们中。我们的计算在测试中表现良好。对比和Carlini Wagner技术,只增加了60个方面,这表明我们的计算成本是完全可以的。此外,对比和FGSM计算,在年龄季节几乎相同的情况下,重复率增加了12%。
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引用次数: 0
Prediction of Fluctuation, Expansion Ratios and Gas Hold Up in a Three Stage Gas-solid Fluidized Bed – A Statistical Approach 三级气固流化床波动、膨胀比和含气率的预测——一种统计方法
Q4 Mathematics Pub Date : 2022-07-19 DOI: 10.17762/msea.v71i3s.10
M. K. P. Jyoti Kaparapu, P. Satya Sagar
Multistage fluidized bed has shown greater performance than the single stage in terms adsorption efficiency, recovery efficiency etc. Thus, experiments have been carried out in a three stage gas-solid fluidized bed. The hydrodynamic characteristicssuch as fluctuation ratio, expansion ratio and gas holdups have been studied. The dependency of these quantities with the system variables like particle size, initial static bed height and superficial gas velocity in each stage of a three-stage fluidized bed have been analyzed. It has been found that both fluctuation and expansion ratios are inverse functions of particle size and static bed height whereas a direct function of superficial gas velocity. However the gas holdup is a direct function of all the three operating parameter.It has also been observed that bed fluctuation and expansion goes on decreasing from lower bed to the upper bed. Further correlations have been developed for all the three stages for fluctuation ratio, expansion ratio and gas holdup using statistical analysis. It has been found that the experimental values of the responses agree well with the values predicted from the models.
多级流化床在吸附效率、回收效率等方面表现出比单级更高的性能。因此,在三级气固流化床中进行了实验。研究了脉动比、膨胀比和含气率等流体力学特性。分析了三级流化床各阶段的颗粒大小、初始静态床高和表观气体速度等系统变量与这些量的相关性。研究发现,波动率和膨胀率都是颗粒尺寸和静态床层高度的反函数,而是表观气体速度的直接函数。然而,气含率是所有三个操作参数的直接函数。还观察到,床层波动和膨胀从下床层向上床层逐渐减小。利用统计分析,进一步推导了波动率、膨胀率和气含率三个阶段的相关性。已经发现,响应的实验值与模型预测的值非常一致。
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引用次数: 0
Comparison study of Machine Learning Algorithm and Data Science based Machine Learning Algorithm Malware Detection 机器学习算法与基于数据科学的机器学习算法恶意软件检测的比较研究
Q4 Mathematics Pub Date : 2022-07-19 DOI: 10.17762/msea.v71i3s.2
Sunita Choudhary, Anand Sharma
With quick development and advancement of the web, malware is one of major advanced perils these days. Hence, malware discovery is a significant component in the security of PC frameworks. These days, assailants by and large plan polymeric malware, it is typically a kind of malware that ceaselessly changes its unmistakable component to trick recognition strategies that utilizes run of the mill signature-based techniques. For that reason, the requirement for Machine Learning based identification emerges. In this work, we will acquire standard of conduct that might be accomplished through static or dynamic examination, a while later we can apply unique ML strategies to recognize regardless of whether it's malware. Conduct based Detection techniques will be talked about to take advantage from ML calculations in order to approach social-based malware acknowledgment, furthermore, grouping model. In this paper, study related between two major components. First one is machine learning algorithm apply on data set directly. Second is same Machine learning algorithm apply with Data science pre-processing steps.
随着网络的快速发展和进步,恶意软件是当今主要的高级危险之一。因此,恶意软件发现是PC框架安全的重要组成部分。如今,攻击者总体上计划聚合恶意软件,这是一种典型的恶意软件,它不断地改变其明确无误的组件,以欺骗识别策略,利用普通的基于签名的技术。因此,基于机器学习的识别需求出现了。在这项工作中,我们将获得可能通过静态或动态检查完成的行为标准,稍后我们可以应用独特的ML策略来识别它是否是恶意软件。将讨论基于行为的检测技术,利用机器学习计算来接近基于社交的恶意软件识别,此外,分组模型。本文主要研究两者之间的关系。第一种是机器学习算法直接应用于数据集。第二是同样的机器学习算法与数据科学预处理步骤的应用。
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引用次数: 1
Methodical Approach to Bankruptcy Prediction Model Development 破产预测模型开发的方法方法
Q4 Mathematics Pub Date : 2022-07-19 DOI: 10.17762/msea.v71i3s.5
Natalia S. Samarina, Marina V. Oslopova, Victoria P. Gadzhibek, Vladimir V. Kryukov
There is a likelihood of a crisis in any organization, which is determined by objective factors such as the fluctuations in market conditions, periodic modernization of technology, the changes in the organization of production, the change of personnel or external conditions, and often political circumstances. Bankruptcy is a critical variant of crisis phenomena at an enterprise. Of course, bankruptcy is an important element of the market system structure, and its purpose is to protect social-economic processes from the results of ineffective activities of their members and the failure to fulfill their obligations.
任何组织都有可能发生危机,这是由客观因素决定的,如市场条件的波动、技术的周期性现代化、生产组织的变化、人员或外部条件的变化,以及通常的政治环境。破产是企业危机现象的一个重要变体。当然,破产是市场体系结构的一个重要组成部分,其目的是保护社会经济过程免受其成员无效活动和未能履行义务的结果的影响。
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引用次数: 0
Assessment of the Impact on Steel Walls and Bracing Systems in the Analysis of Seismic Waves during a Building Moment Resistance Frame 建筑物抗弯矩框架地震波分析中对钢墙和支撑系统影响的评估
Q4 Mathematics Pub Date : 2022-07-19 DOI: 10.17762/msea.v71i3s.29
Yogesh Kumar, Tejraj, Digvijay Singh
The designs in seismic regions are for the most part vulnerable to serious harm. Alongside the gravity, loads structures need to endure the horizontal loads too which tends to foster high burdens. By and large shear walls and bracings are introduced in the design to improve their horizontal firmness and flexibility and limit their parallel relocations to give well-being to the designs. The basic issues in the seismic plans are principally story floats and sidelong relocations. Four distinct kinds of edge building models are created and assessed with the assistance of ETABS. In the present work, G+21 multi-story, second opposing edge building models are viewed as utilizing steel shear walls and two sorts of bracings. The arrangement considered for all models is 20mX20m and the strategy used for examination is the reaction range investigation technique. All individuals were planned according to IS456:2000, IS800:2007, and the load mix for seismic power was considered according to IS1893 (part-1):2016. Correlation between each of the four models was performed based on the following boundaries for example Uprooting, Stiffness, and Natural period. The outcome is communicated as charts, and figures and correlations are finished according to IS1893 (part-1):2016. The primary focal point of this study is to see the enhanced model.
地震区里的设计大多容易受到严重的破坏。除了重力外,结构还需要承受水平荷载,这往往会产生高负荷。总的来说,在设计中引入了剪力墙和支撑,以提高它们的水平坚固性和灵活性,并限制它们的平行迁移,从而为设计带来福祉。抗震方案中的基本问题主要是层浮和侧移。在ETABS的帮助下,创建并评估了四种不同类型的边缘构建模型。在目前的工作中,G+21多层,第二对边建筑模型被视为使用钢剪力墙和两种支撑。所有模型考虑的排列为20mX20m,检测策略为反应范围调查技术。所有个体均按照IS456:2000、IS800:2007进行规划,地震电力的负荷组合根据IS1893 (part-1):2016进行考虑。四个模型之间的相关性是基于以下边界进行的,例如连根拔起、刚度和自然周期。结果以图表形式传达,数据和相关性根据IS1893 (part-1):2016完成。本研究的主要重点是观察增强模型。
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引用次数: 0
Information and Analytical Support of Business Models and Management Systems of Enterprises in China and Russia in the Digital Economy 数字经济中中俄企业商业模式和管理系统的信息与分析支持
Q4 Mathematics Pub Date : 2022-07-19 DOI: 10.17762/msea.v71i3s.4
Piao Yihua, Nina V. Shashlo, Deng Xiaoyu, Alexey A. Kuzubov
This work is devoted to the deepening of theoretical provisions, substantiation of the theoretical and methodological foundations for the formation of enterprise information processes and the development of practical recommendations for their use in the management of industrial enterprises in the context of the development of global economic relations. The article has formed a system of indicators for assessing the effectiveness of the information management process in order to determine the possibility and feasibility of its use in the management of an industrial enterprise. Indicators, the calculation of which is based on internal sources of information of an industrial enterprise according to management and financial accounting data, form the basis of the information process for managing the activities of an industrial enterprise. For the analysis, the data were combined with the subject area into indicators of labor, production and financial spheres. In order to improve the process of managing an industrial enterprise, partial indicators of assessing the effectiveness of the information process of managing an industrial enterprise were calculated on the basis of the synthesis of expert assessment methods: by scores and the method of analyzing hierarchies. Based on the results of the study, priority indicators have been identified for calculating the integral indicator of ensuring the effectiveness of the information process of managing an industrial enterprise with ensuring the reliability, content, completeness and relevance of the information process. The factors that ensure the efficiency of the information process of enterprise management are identified, thanks to which it becomes possible to design in advance several approaches to organizing the future activities of an industrial enterprise.
这项工作致力于深化理论规定,证实形成企业信息过程的理论和方法基础,并在全球经济关系发展的背景下为工业企业的管理提供实用建议。本文形成了一套评价信息化管理过程有效性的指标体系,以确定信息化管理在工业企业管理中应用的可能性和可行性。指标的计算是基于工业企业的内部信息来源,根据管理和财务会计数据,构成管理工业企业活动的信息化过程的基础。为了进行分析,将数据与学科领域合并为劳动、生产和金融领域的指标。为了改进工业企业管理过程,在综合专家评价方法的基础上,采用分数法和层次分析法计算了评价工业企业管理信息化过程有效性的部分指标。根据研究结果,确定了优先指标,以确保信息过程的可靠性、内容性、完整性和相关性,计算保证工业企业管理信息过程有效性的积分指标。确定了确保企业管理信息过程效率的因素,从而有可能预先设计几种方法来组织工业企业的未来活动。
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引用次数: 0
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Philippine Statistician
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