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A Comprehensive Review on the Influence of Equal Channel Angular Pressing Parameters on Magnesium Alloys 等径角挤压参数对镁合金的影响综述
Pub Date : 2020-11-30 DOI: 10.37624/IJERT/13.11.2020.3855-3871
M. S. Salleh, A. A. Rahman, Saifudin Hafiz Yahaya, M. Yuhazri, S. Akmal
Equal channel angular pressing (ECAP) is a promising technique to produce an ultra-fine grain microstructure thus improving the properties of the material. Several factors have been acknowledged to have an affect on the microstructure and mechanical properties of the material after an ECAP process which include the operation temperature, number of passes, die angle and also the processing route. Therefore, this review paper gives a concise summary on the influence of ECAP parameters towards the microstructure and mechanical properties of magnesium alloys. Specific attention has been given to the magnesium alloy microstructure evolution and its mechanical properties after ECAP process. It was discovered that refined microstructure with better mechanical properties can be produced at lower temperature, higher number of passes and smaller die angle. It was also noticed that using route BC of ECAP process may give the best results by contributing about 28% of material hardness compared to the other routes.
等径角挤压(ECAP)是一种极具发展前景的技术,可以产生超细晶粒结构,从而改善材料的性能。在ECAP工艺后,有几个因素被认为对材料的微观结构和力学性能有影响,包括操作温度、道次、模具角度和加工路线。因此,本文就ECAP参数对镁合金组织和力学性能的影响作一综述。重点研究了ECAP工艺后镁合金的组织演变及其力学性能。结果表明,在较低的温度、较高的道次和较小的模角条件下,可以得到具有较好力学性能的精细化组织。还注意到,与其他路线相比,使用ECAP工艺的BC路线可以获得最佳效果,其材料硬度约为28%。
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引用次数: 1
A Methodology for Obtaining the References of Voltages and Currents in Power Electronics Devices 电力电子器件中电压和电流参考值的获取方法
Pub Date : 2020-11-30 DOI: 10.37624/IJERT/13.11.2020.3272-3277
N. M. Galeano, Jesús María López Lezama, F. Duque
This paper presents a methodology for obtaining the references for voltages and currents of power electronics (PE) devices. References are needed for deducing, in an appropriate way, the differential equations (DEs) that govern the behavior of PE devices. If references are used for deducing DEs, power and energy interchange can be explained; also, control strategies based on mathematical model can be easily implemented. PE devices are very diverse; so, the proposed methodology is explained by using a complex converter for considering many possibilities that may result. Basically, the passive law of sign is used; nonetheless, the application of this law is sometimes tricky. Finally, OpenModelica software is used for validating the proposed methodology.
本文提出了一种获取电力电子器件电压和电流参考值的方法。以适当的方式推导控制PE器件行为的微分方程(DEs)需要参考。如果使用参考文献来推导de,则可以解释功率和能量交换;此外,基于数学模型的控制策略易于实现。PE设备非常多样化;因此,所提出的方法是通过使用一个复杂的转换器来考虑可能导致的许多可能性来解释的。基本上,使用被动符号法则;尽管如此,这条法律的应用有时是棘手的。最后,使用OpenModelica软件验证所提出的方法。
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引用次数: 0
Digital Spaces and Bi-Regional Interaction within the Paradigm of Scientific Cooperation 科技合作范式下的数字空间与双区域互动
Pub Date : 2020-11-30 DOI: 10.37624/IJERT/13.11.2020.3504-3507
R. I. Sitdikova, Nataliya Yevgenjevna Tyurina, L. D. Iafizova
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引用次数: 0
Sustainable Home Energy Management of Movement Control Order due to Pandemic Covid-19 by Using 5Core Procedure Method 基于5Core程序法的Covid-19疫情下运动控制秩序可持续家庭能源管理
Pub Date : 2020-11-30 DOI: 10.37624/IJERT/13.11.2020.3189-3193
M. F. Sulaima, N. Zaki, M. M. Tahir, Muhd Muhtazam Noor Din, Z. H. Bohari
During the movement control order (MCO), most of the citizen stay at home Thus, it increased electricity consumption tremendously The uncontrolled consumption of electricity happened when a lack of awareness among residents to practice home energy efficiency Due to that reason, this study presents a real case of the MCO electricity energy waste during the early MCO stage In contrast, sustainable home energy management with 5Core procedures was introduced to overcome the issue The method was applied to manage people's activities inside the house, where the best arrangement of the energy efficiency approach has been used accordingly Through the proposed process, energy consumption has significantly reduced while avoiding the spike of the electricity bill during the post-MCO of Pandemic COVID-19 The sustainability of the post MCO for the energy consumption among residential could contribute to the low CO2 emission while securing the factor of the cost-effectiveness for the electricity bill It is hoped that the proposed method will be the guideline for the consumers to manage the consumption of the electricity, where the combination of the human factor will be the advantages © International Research Publication House
在行动管制令(MCO)期间,大部分市民都呆在家里,因此大大增加了用电量,在居民缺乏实践家庭节能意识的情况下发生了不受控制的用电量,因此,本研究呈现了MCO早期MCO阶段电力能源浪费的真实案例。引入了5Core程序的可持续家庭能源管理来克服这个问题。该方法被应用于管理人们在房子里的活动,在那里,能源效率方法的最佳安排已经被相应地使用。能源消耗显著减少,同时避免了COVID-19大流行后MCO期间电费的飙升。MCO后住宅能源消耗的可持续性有助于降低二氧化碳排放,同时确保电费的成本效益因素。希望所提出的方法将成为消费者管理电力消耗的指导方针。人的因素结合在哪里会有优势©国际研究出版社
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引用次数: 0
ACO-Based Power Allocation for Throughput Maximization in the Downlink 5G NOMA Systems 基于aco的下行5G NOMA系统吞吐量最大化功率分配
Pub Date : 2020-11-30 DOI: 10.37624/IJERT/13.11.2020.3072-3079
Osama Abuajwa, Chee Keong Tan, Yin Hoe Ng, C. K. Lee
Non-Orthogonal Multiple Access (NOMA) is a radio access technology that can increase the spectral efficiency of 5G networks. In a NOMA system, the power allocation is a combinatorial optimization problem since multiple users are multiplexed on the same radio resources. The power transmitted for each subchannel and the multiplexed users can be allocated by using metaheuristic methods to improve the system throughput. In this paper, ant colony optimization (ACO) is proposed to optimize the transmit power to maximize the overall throughput in the downlink of 5G NOMA systems. The ACO is one of the swarm intelligence algorithms that ensures that the optimal solution can be found via a number of iterations with specific values of parameters. The obtained results demonstrate that the proposed power allocation scheme using ACO performs better in terms of the system throughput by up to 35%.
非正交多址(NOMA)是一种可以提高5G网络频谱效率的无线接入技术。在NOMA系统中,由于多个用户在同一无线资源上进行多路复用,功率分配是一个组合优化问题。采用元启发式方法对各子信道和多路复用用户传输的功率进行分配,以提高系统吞吐量。本文提出了蚁群算法(ant colony optimization, ACO),对5G NOMA系统下行链路的发射功率进行优化,使整体吞吐量最大化。蚁群算法是一种群智能算法,它确保通过具有特定参数值的多次迭代来找到最优解。实验结果表明,采用蚁群算法的功率分配方案可使系统吞吐量提高35%。
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引用次数: 4
Probability of Position and Motion Parameters Estimation for a Radio Beacon in Passive Search and Rescue Systems 被动搜救系统中无线电信标位置和运动参数估计的概率
Pub Date : 2020-11-30 DOI: 10.37624/IJERT/13.11.2020.3710-3717
S. Yukhno, Yuriy Petrov, S. Rudyka
In this article, the method to estimate the range to the beacon in passive search and rescue systems is proposed. The range to the beacon is determined by applying a set of Kalman filters to the bearing measurements with different hypotheses of the beacon motion and subsequent selection of the hypothesis with the minimum sum of residual errors in target range estimation. The expressions for the expectation and standard deviation of the prediction errors are derived and the probability of selection the correct hypothesis is given. The proposed method allows to evaluate the measurement time, required to determine the range to the beacon with probability 0.9...0.95, which agrees well with statistical analysis of multiple data sets.
提出了被动搜救系统中信标距离的估计方法。信标距离的确定是通过对不同信标运动假设的方位测量应用一组卡尔曼滤波,然后选择目标距离估计中残差和最小的假设来实现的。推导了预测误差的期望和标准差的表达式,并给出了选择正确假设的概率。该方法可以在0.9 ~ 0.95的概率范围内计算出确定信标距离所需的测量时间,与多数据集的统计分析结果吻合较好。
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引用次数: 0
Fuzzy Multi-Criterial Choice of Geological and Technical Measures 地质技术措施的模糊多准则选择
Pub Date : 2020-11-30 DOI: 10.37624/IJERT/13.11.2020.3605-3610
Oleg Yuryevich Panischev, Yurii Davydov, I. Anikin, D. V. Kataseva, A. Katasev, A. M. Akhmetvaleev
The work solves the problem of automating the process planning of assigning geological and technical measures (GTM) at oil fields in conditions of uncertainty. A decision support system is being developed to help an expert make an informed decision about the method of influence of geological and technical measures on an oil reservoir. From the point of view of the imposed restrictions on the choice of geological and technical measures, various types of geological and physical parameters are highlighted. To solve this problem, a fuzzy-production model is proposed for the representation of expert knowledge. A feature of this model is the possibility of different types of parameters use to impose restrictions on the choice of geological and technical measures, using fuzzy restrictions and setting their weights, as well as formalizing the degree of an expert confidence in the reliability of the rule being formed. They provided the possibility of fuzzy modifier use in the conditions of fuzzy production rules for fuzzy constraint correction. To determine the weights of fuzzy constraints in the conditions of the rules, an approach is used based on a multi-criteria assessment of constraints, carried out using the hierarchy analysis method (HAM). The following were used as the criteria for evaluation the weights: the importance of the corresponding geological and physical parameter for an expert, the completeness of the available information on the studied parameter, the relevance of the values, the complexity of obtaining the values. The final choice of geological and technical measures is carried out on the basis of a fuzzy multi-criteria choice according to the following criteria: satisfaction of the fuzzy production model limitations, high technological efficiency, high economic effect, and the impact on the environment. Based on the knowledge of experts, a knowledge base has been formed that includes fuzzy production rules for choosing 81 different geological and technical measures at production wells using the restrictions on 15 geological and physical parameters. The knowledge base has been tested at the wells of the Feofanovskoye field, Alkeevskaya, Chishminskaya areas. The development of recommendations was carried out in conditions of information incompleteness on a number of parameters of the set. The results generated by the decision support system correspond to the decisions made by the experts. KeywordsKnowledge Base, Fuzzy Logic, Fuzzy Production Model, Geological And Technical Event, Hierarchy Analysis Method, Decision Support
该工作解决了不确定条件下油田地质技术措施调度过程规划的自动化问题。目前正在开发一个决策支持系统,以帮助专家就地质和技术措施对油藏的影响方法作出明智的决策。从地质和技术措施选择的限制来看,突出了各种类型的地质和物理参数。为了解决这一问题,提出了一种专家知识表示的模糊生产模型。该模型的一个特点是使用不同类型的参数对地质和技术措施的选择施加限制的可能性,使用模糊限制和设置它们的权重,以及形式化专家对正在形成的规则的可靠性的信心程度。它们提供了在模糊产生规则条件下使用模糊修饰语进行模糊约束修正的可能性。为了确定规则条件下模糊约束的权重,采用了一种基于多准则约束评估的方法,该方法使用层次分析法(HAM)进行。以下是评估权重的标准:相应的地质和物理参数对专家的重要性,所研究参数的可用信息的完整性,值的相关性,获取值的复杂性。根据满足模糊生产模型的局限性、技术效率高、经济效益高、对环境的影响等标准,在模糊多准则选择的基础上进行地质技术措施的最终选择。在专家知识的基础上,利用15个地质和物性参数的限制条件,形成了81个不同生产井地质技术措施的模糊生产规则知识库。该知识库已在Feofanovskoye油田、Alkeevskaya、Chishminskaya地区的油井中进行了测试。建议的制定是在关于该集合的一些参数的信息不完整的条件下进行的。决策支持系统生成的结果与专家的决策相对应。关键词:知识库,模糊逻辑,模糊生产模型,地质技术事件,层次分析法,决策支持
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引用次数: 0
Development of Application for Recognition of Object Groups in the Image 图像中目标群识别应用的开发
Pub Date : 2020-11-30 DOI: 10.37624/IJERT/13.11.2020.3611-3615
Ilnur Saitovich Miftahov, Larisa Yurievna Grudtsyna, I. Myshkina
In this article, we solve the actual problem of recognizing the object group in the image. The solution to this problem resulted in an application developed on the basis of a neural network for automatic object recognition. We considered the problem of recognition of cars and trucks on images of any size. The developed application creates a neural network, allows it being trained, as well as using the trained network to solve the recognition problem. In this work, we created a convolutional neural network that allows detecting the features of cars under consideration and classifying them. The network architecture was selected in such a way that the result of its work was adequate. When selecting, we considered feed-forward neural networks, since they showed themselves in the best way in solving such problems. To select the structure and build this network, we studied the corresponding theoretical material about the main types of neural networks, as well as about the algorithms for their training. To train this network, we used an error backpropagation algorithm based on the gradient descent method when finding the minimum of the activation function. An important point is tracking of the network training results; to calculate the accuracy and error indicators (in time), the developed application creates the corresponding graphs. To recognize cars on an arbitrary image, it was divided into admissible parts, and then the image was transmitted in parts to the trained network. The network operation result is displayed using the graphical interface of the application. The objects "passenger car" and "truck" are localized and assigned to the corresponding class.
在本文中,我们解决了图像中目标群识别的实际问题。这个问题的解决方案导致了一个基于神经网络的应用程序的开发,用于自动对象识别。我们考虑了在任意大小的图像上识别汽车和卡车的问题。开发的应用程序创建了一个神经网络,允许它被训练,以及使用训练的网络来解决识别问题。在这项工作中,我们创建了一个卷积神经网络,可以检测正在考虑的汽车的特征并对其进行分类。选择网络体系结构的方式使其工作的结果是足够的。在选择时,我们考虑了前馈神经网络,因为它们在解决此类问题时表现出最好的方式。为了选择结构和构建网络,我们研究了神经网络的主要类型及其训练算法的相关理论资料。为了训练该网络,我们在寻找激活函数的最小值时使用了基于梯度下降法的误差反向传播算法。其中很重要的一点是网络训练结果的跟踪;为了计算准确度和误差指标(及时),开发的应用程序创建相应的图表。为了在任意图像上识别汽车,将图像分成可接受的部分,然后将图像分成部分传输到训练好的网络中。通过应用程序的图形界面显示网络操作结果。对象“客车”和“卡车”被本地化并分配给相应的类。
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引用次数: 0
Application of Remote Control Technology for a Homogenizing Vacuum Machine 均质真空机远程控制技术的应用
Pub Date : 2020-11-30 DOI: 10.37624/IJERT/13.11.2020.3464-3468
A. Badriev
An increase in the efficiency of a technological process for the production of mayonnaise products by means of remote information access is considered. The scheme of information flows in the software and hardware complex for interaction between equipment assemblies and mechanisms and software has been developed. The dispatcher's software interface has been developed for real time monitoring the technological process of manufacturing mayonnaise products. Software modules for tracking failures and malfunctions, including user settings for an automated homogenizing vacuum machine are developed. A recipe editing module has been developed in the program for making mayonnaise products. A remote system of operator's access to work and restriction of rights to control functions, setting the modes of a homogenizing vacuum machine by means of user authorization has been developed. An automated system for alerting of emergency and warning situations by means of messages and sound signals has been developed. It is proposed to store in a relational database current and retrospective messages, and indications of process parameters for the production of mayonnaise products. A system of trends for real time monitoring and analysing the dynamics of changes in process parameters is proposed. It is proposed to record the data on the varieties produced and the number of production cycles, the reasons for downtime, equipment failures and malfunctions in the daily reporting system.
考虑了通过远程信息访问提高蛋黄酱产品生产工艺过程的效率。提出了设备组件、机构与软件交互的软硬件综合体信息流方案。为实时监控蛋黄酱产品生产工艺过程,开发了调度员软件界面。软件模块跟踪故障和故障,包括用户设置的自动均质真空机开发。在程序中开发了制作蛋黄酱产品的食谱编辑模块。研制了一种采用用户授权方式设置均质真空机模式的远程操作权限和控制功能权限限制系统。已经开发了一种通过电文和声音信号自动发出紧急和警告情况的系统。建议在关系数据库中存储当前和回顾性信息,以及蛋黄酱产品生产过程参数的指示。提出了一种实时监测和动态分析工艺参数变化的趋势系统。建议将生产品种、生产周期数、停机原因、设备故障、故障等数据记录在日报系统中。
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引用次数: 0
On a solution to the "cheaters" and "consultants" problem within online educational service 论网络教育服务中“作弊者”和“顾问”问题的解决
Pub Date : 2020-11-30 DOI: 10.37624/IJERT/13.11.2020.3849-3854
A. Finogenov, N. S. Gilmanova, S. Vladimirova
One of the obvious drawbacks of online education service is the inability to control the students in solving tasks themselves. This leads to mass cheats and, as a result, to the devaluation of issued certificates. The article offers some technical tool which can partially reduce the damage from this phenomenon in online education. The originality of the proposed technical tool lies in the interaction of two well-known educational procedures: 1) peer cross-reviews and 2) creating a portfolio. The article discusses the details of this proposal for possible implementation.
在线教育服务的一个明显缺点是无法控制学生自己解决任务。这导致了大规模的欺诈行为,结果导致发行的证书贬值。本文提供了一些技术工具,可以部分地减少这一现象在网络教育中的危害。所提出的技术工具的独创性在于两个众所周知的教育过程的相互作用:1)同行交叉评审和2)创建一个投资组合。本文讨论了该建议的细节,以便可能实现。
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引用次数: 0
期刊
International journal of engineering research and technology
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