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IoT-Based Cyber-Physical Distribution System Planning 基于物联网的网络物流配送系统规划
Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795702
Shaben Kayamboo, B. Ray, N. Das, Mary Tom
Recently, there has been a large-scale integration of renewable sources to keep pace with the enormous increment of consumers’ load demand. The integration of these devices on a large scale can violate the technical and regulatory constraints of the smart power grid. Therefore, a proper control system must be designed to increase their power output and maximize the system owners’ benefit while meeting power grid standards. This paper is a collection of information to provide its reader with a holistic view of the implementation of a cyber-physical system to aid in distribution system planning. The goal of this paper is to review the current literature and identify research gaps that have yet to be fully explored. This is followed by making proposals for areas to be researched in order to improve the knowledge bank surrounding this important topic. This paper will begin by addressing the concept of a cyberphysical system by elaborating on its structure through its various layers. It will also describe the role of the Internet of Things (IoT) in improving the monitoring and control abilities of cyber-physical distribution systems. Furthermore, a detailed literature review is given to highlight the current state of distribution system research being done surrounding the implementation of cyber-physical systems to improve system planning. Based on this review, an analysis is given to better explain how a successful cyber-physical based distribution system can be constructed to achieve automation. Finally, gaps in current research are discussed to provide an understanding on which aspects of cyber-physical based distribution system planning have not been fully explored yet and where more exploration needs to be done. A list of research questions are provided to help aid potential researchers dive deeper into the area of fully automating distribution systems that consist of both renewable and non-renewable sources of energy.
近年来,可再生能源大规模并网,以跟上消费者负荷需求的巨大增量。这些设备的大规模集成可能会违反智能电网的技术和监管限制。因此,必须设计合适的控制系统,在满足电网标准的前提下,提高其功率输出,使系统所有者利益最大化。这篇论文是一个信息的集合,为读者提供一个全面的观点,实现一个网络物理系统,以帮助配电系统规划。本文的目的是回顾当前的文献,并确定尚未充分探索的研究差距。然后对需要研究的领域提出建议,以改善围绕这一重要主题的知识库。本文将首先阐述网络物理系统的概念,并通过其各个层来阐述其结构。它还将描述物联网(IoT)在改善网络物理分配系统的监测和控制能力方面的作用。此外,详细的文献综述强调了围绕网络物理系统的实施来改进系统规划的配电系统研究的现状。在此基础上,分析了如何构建一个成功的基于网络物理的配电系统来实现自动化。最后,讨论了当前研究中的差距,以了解基于网络物理的配电系统规划的哪些方面尚未得到充分探索,以及需要进行更多探索的地方。提供了一系列研究问题,以帮助潜在的研究人员深入研究由可再生能源和不可再生能源组成的全自动配电系统领域。
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引用次数: 0
A Universal Method for Solving the Problem of Bending of Plates of Any Shape 求解任意形状板弯曲问题的通用方法
Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795772
Azamatjon Yusupov, Mirzaeva Manzura, Tajibaev Gayratjon, Uzakov Sirojiddin
This paper presents a universal algorithm for solving boundary value problems of bending plates of arbitrary shape. To solve the problem of bending, the method of sources and sinks is used. According to this method, sources and sinks are distributed continuously along a line located outside the area occupied by the plate and similar to the contour of the original plate. By choosing their powers, the conditions at the plate boundary are satisfied.In this paper, we use an elementary solution for the problem of bending a round supported plate and fundamental solutions from a unit transverse force and moment concentrated at a point. Mathematical expressions corresponding to various boundary conditions are given. The boundary value problem is reduced to a system of integral equations. To obtain a stable solution to the system of integral equations, the regularization method with minimization of the Tikhonov functional is applied, the numerical implementation of which will lead to systems of algebraic equations. An algorithm for solving the problem in the MATLAB system is proposed.
提出了一种求解任意形状弯曲板边值问题的通用算法。为了解决弯曲问题,采用了源汇法。根据这种方法,源和汇沿着位于板块所占区域外的一条线连续分布,并且与原始板块的轮廓相似。通过选择它们的幂次,满足了在板块边界处的条件。本文利用圆形支承板弯曲问题的初等解和集中于一点的单位横向力和弯矩的基本解。给出了各种边界条件的数学表达式。边值问题被简化为一个积分方程组。为了获得积分方程系统的稳定解,采用了Tikhonov泛函最小化的正则化方法,该方法的数值实现将导致代数方程系统。提出了在MATLAB系统中求解该问题的算法。
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引用次数: 0
Data Centric DAO: When blockchain reigns over the Cloud 以数据为中心的DAO:当区块链统治云时
Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795753
Ibrahim Mehdi, Moussaab Sbai, Mohamed Mazlin, Kamal Azghiou
Nowadays, data has become more and more important. Most governments have passed laws to control how they are owned and used, such as the GDPR in Europe. However, any law is never perfect. We can see it when a company scattered around the world is hampered by the fact of not being able to exploit customer data outside the borders of a territory. Also, we can add that a data owner is not anymore once he sells them to a third party to be exploited. In this work, we propose a solution based on a permissioned blockchain, namely the Hyperledger Fabric, to allow any stakeholder with data to take part, with value providers, in creating Decentralized Autonomous organizations (DAOs). Once created, a DAO can attract other investors to expand it. The Hyperledger Fabric handles this whole process through channels. The infrastructure needed to run the business of the DAO is generated automatically through special transactions taking place at the blockchain level. In the opposite direction, the cloud infrastructure sends notifications to the Hyperledger for traceability and monitoring purposes. Finally, through simulations of wealth distribution models, we show that to keep control of a DAO based on the proposed architecture, the shares must be negotiated according to a Pareto law.
如今,数据变得越来越重要。大多数政府都通过了法律来控制它们的拥有和使用方式,比如欧洲的GDPR。然而,任何法律都不是完美的。我们可以看到,当一家分散在世界各地的公司因为无法在一个国家的边界之外利用客户数据而受到阻碍时。此外,我们还可以补充说,一旦数据所有者将其出售给第三方加以利用,他就不再是数据所有者了。在这项工作中,我们提出了一种基于许可区块链的解决方案,即超级账本结构,允许任何拥有数据的利益相关者与价值提供者一起参与创建去中心化自治组织(dao)。一旦创建,DAO就可以吸引其他投资者来扩展它。Hyperledger Fabric通过通道处理整个过程。运行DAO业务所需的基础设施是通过区块链级别上发生的特殊事务自动生成的。相反,云基础设施向超级账本发送通知,以实现可跟踪性和监控目的。最后,通过对财富分配模型的模拟,我们表明,为了保持对基于所提出架构的DAO的控制,必须根据帕累托定律进行股份协商。
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引用次数: 3
A Practical Approach To The Development Of A Decision-Supporting System Based On Fuzzy Neural Network In Information And Telecommunication Systems 基于模糊神经网络的信息通信系统决策支持系统开发的实用方法
Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795724
A. Kuvnakov, N. Mahamatov, V. Kuznetsova, Gulnora Mukhtarova, Nodira Malikova, M. Atadjanova
This paper presents the result of the approach to the development of a decision support system (DSS) to improve the chosen location of base stations (BS) of mobile systems. The system is designed to improve the reliability of the decision-making and forecasting of the dynamics of the mobile transceiver systems and devices based on the uncertainty influences of a different nature. Analysis of these problems shows that an effective solution to this issue is to use the principles of the fuzzy set theory (FST) and modern geographic information systems (GIS) taking into consideration the geographically distributed topology of the information and telecommunications systems (ITS) elements. As a tool, a neuro-fuzzy inference system (ANFIS) in a Matlab environment is used to develop the decision support system and to select an optimal place geographical information system (GIS) is applied to find installation places of base stations of mobile companies taking into consideration geographic characteristics of the region. It also has been found that effective monitoring of the ITS in such information provision conditions primarily depends on the degree of compression of the input information.
本文介绍了一个决策支持系统(DSS)的开发方法的结果,以改善移动系统基站(BS)的选择位置。该系统旨在提高基于不同性质的不确定性影响的移动收发器系统和设备动态决策和预测的可靠性。对这些问题的分析表明,利用模糊集理论(FST)和现代地理信息系统(GIS)的原理,考虑信息和电信系统(ITS)要素的地理分布拓扑结构,是解决这一问题的有效方法。以Matlab环境下的神经模糊推理系统(ANFIS)为工具,开发决策支持系统,选择最优地点,利用地理信息系统(GIS)结合所在地区的地理特点,寻找移动公司基站的安装地点。研究还发现,在这种信息提供条件下,对智能交通系统的有效监测主要取决于输入信息的压缩程度。
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引用次数: 0
Intelligent Reflecting Surfaces for Multi-Access Edge Computing in 6G Wireless Networks 面向6G无线网络多接入边缘计算的智能反射面
Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795799
Mobasshir Mahbub, R. Shubair
Computation offloading in multi-access edge computing (MEC) is an effective paradigm for enabling resource-intensive smart applications. However, when the wireless channel utilized for offloading computing activities is hostile, the proper advantages of MEC may not be completely realized. Intelligent reflecting surface (IRS) is a new technology that has recently attracted significant interest can optimize the wireless transmission environment in a programmable way and improving the connectivity between user equipment (UE) and base station (BS). In this paper, the performance of MEC architecture is analyzed considering both IRS-assisted and without IRS communication scenarios in the context of the urban micro cellular scenarios. The research obtained that the deployment of IRS can reduce the spectrum and energy consumption significantly.
多访问边缘计算(MEC)中的计算卸载是实现资源密集型智能应用的有效范例。然而,当用于卸载计算活动的无线信道是敌对的时,MEC的适当优势可能无法完全实现。智能反射面(IRS)是近年来备受关注的一项新技术,它能够以可编程的方式优化无线传输环境,提高用户设备(UE)与基站(BS)之间的连通性。本文在城市微蜂窝场景下,分析了MEC架构在IRS辅助和无IRS通信场景下的性能。研究表明,部署IRS可以显著降低频谱和能耗。
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引用次数: 3
Connected and Autonomous Vehicles against a Malware Spread : A Stochastic Modeling Approach 针对恶意软件传播的联网和自动驾驶汽车:随机建模方法
Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795713
Manal El Mouhib, Kamal Azghiou, Abdelhamid Benali
The proliferation of autonomous and connected vehicles on our roads is increasingly felt. However, the problems related to the optimization of the energy consumed, to the safety, and to the security of these do not cease to arise on the tables of debates bringing together the various stakeholders. By focusing on the security aspect of such systems, we can realize that there is a family of problems that must be investigated as soon as possible. In particular, those that may manifest as the system expands. Therefore, this work aims to model and simulate the behavior of a system of autonomous and connected vehicles in the face of a malware invasion. In order to achieve the set objective, we propose a model to our system which is inspired by those used in epidimology, such as SI, SIR, SIER, etc. This being adapted to our case study, stochastic processes are defined in order to characterize its dynamics. After having fixed the values of the various parameters, as well as those of the initial conditions, we run 100 simulations of our system. After which we visualize the results got, we analyze them, and we give some interpretations. We end by outlining the lessons and recommendations drawn from the results.
自动驾驶和联网车辆在道路上的扩散越来越明显。然而,与能源消耗的优化、安全和这些安全有关的问题并没有停止出现在各利益攸关方聚集在一起的辩论桌上。通过关注此类系统的安全方面,我们可以意识到有一系列问题必须尽快调查。特别是那些可能随着系统的扩展而显现的问题。因此,这项工作旨在建模和模拟自动驾驶和联网车辆系统在面对恶意软件入侵时的行为。为了达到设定的目标,我们提出了一个模型,该模型的灵感来自于流行病学中使用的模型,如SI, SIR, SIER等。为了适应我们的案例研究,我们定义了随机过程,以表征其动态。在确定了各种参数的值以及初始条件的值之后,我们对系统进行了100次模拟。之后,我们将得到的结果可视化,对它们进行分析,并给出一些解释。最后,我们概述了从结果中得出的教训和建议。
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引用次数: 0
Design of an automated manure collection system for the production of biogas through biodigesters 通过沼气池生产沼气的自动粪便收集系统的设计
Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795763
Iraiz Lucero Quintanilla-Mosquera, J. Ortiz-Zacarias, Sliver Ivan Del Carpio-Ramirez, Jesus Eduardo Rosales-Fierro, Yadhira S. Valenzuela-Lino, C. Coaquira-Rojo, N. Moggiano
This research presents the design of an automated system for obtaining biogas, mainly methane gas, through biodigesters. The anaerobic microorganisms present in the manure generate methane through their digestion, which is the main object of this study, since without this process it would not be possible to obtain natural gas. On the other hand, the system has 5 controlled processes that will complete the anaerobic digestion, namely: evaluation and positioning of manure, transmission belts and actuators that together separate the organic matter and begin with the filling of the biodigesters for the extraction of natural gas; additionally, there will be an adequate temperature control for the development of microorganisms, since at a higher temperature in its ideal environment, the gas will be obtained in less time, so the system will count and turn on heaters or fans based on the results. The objective of this process is to avoid exposure to the contagion of diseases in people and reduce the emission of greenhouse gases.
本研究提出了一种通过生物沼气池获取沼气(主要是甲烷气体)的自动化系统的设计。粪便中存在的厌氧微生物通过消化产生甲烷,这是本研究的主要对象,因为没有这个过程就不可能获得天然气。另一方面,该系统有5个受控过程来完成厌氧消化,即:粪便的评价和定位,传送带和执行器,它们一起分离有机物,并开始填充生物沼气池以提取天然气;此外,将有一个适当的温度控制微生物的发展,因为在理想的环境中,在较高的温度下,气体将在更短的时间内获得,因此系统将计数并根据结果打开加热器或风扇。这一进程的目标是避免人们接触到传染病,并减少温室气体的排放。
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引用次数: 13
An Approach to design Keyboard and Mouse assisting device for handicap users 残障用户键盘鼠标辅助装置的设计方法
Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795791
Kamran Hameed, Syed Mehmood Ali, Uzma Ali
The main idea is to develop an intelligent computing system for disabled people, especially handicapped people who are willing to use a computer for their usage purpose. Still, due to their disability, they can't use it. Nowadays, engineers try to make some equipment to solve this problem because this century is the computer century. The usage of the computer nowadays is very important. A person needs to use computers for their office purpose, education, and communication. A normal person can do this easily, but a disabled person, especially handicapped people, can't do this. This is a hard situation for a handy cap person because He also needs to communicate with the world. The proposed design can help handicapped peoples use computers for their usage purpose. Intelligent Computing System (ICS) is based on two units one is a head unit which contains a LASER which is used as a remote control, the other unit is ground unit which contains LDR sensor-based keyboard, controlling circuits may assets in performing the whole functionality of the ICS system by providing the instructions through the coding directed by PIC Controller which sending the data to the computer through MAX233 IC. The proposed LDR-based-matrix keyboard system sensor was sensitive enough to detect laser light which was tested on ten different users and shown promising accuracy; for future enhancement in order to use this device as a commercial device, instead of LDR matrix, we can, or the fabrication industry can fabricate LDR matrix during the fabrication process, to minimize the size of the system in order to save the power consumption of the system and may also allow a handicap people to use a computer and communicate with the world and gain knowledge and information just like a normal people.
主要的想法是为残疾人开发一个智能计算系统,特别是那些愿意使用计算机来达到他们使用目的的残疾人。然而,由于他们的残疾,他们不能使用它。如今,工程师们试图制造一些设备来解决这个问题,因为本世纪是计算机世纪。现在电脑的使用是很重要的。人们需要使用电脑办公、学习和交流。一个正常人可以很容易地做到这一点,但是一个残疾人,尤其是残疾人,做不到这一点。这对手巧的人来说是一个困难的情况,因为他也需要与世界沟通。提出的设计可以帮助残疾人使用电脑的用途。智能计算系统(ICS)基于两个单元,一个是包含激光的头部单元,用于远程控制,另一个单元是包含基于LDR传感器的键盘的地面单元,控制电路可以通过PIC控制器的编码提供指令,通过MAX233 IC将数据发送到计算机,从而实现ICS系统的全部功能。所提出的基于ldr的矩阵键盘系统传感器具有足够的灵敏度,可以检测激光,并在10个不同的用户上进行了测试,显示出良好的准确性;为了将来的改进,为了将这个设备作为商业设备使用,我们可以,或者制造行业可以在制造过程中制造LDR矩阵,而不是LDR矩阵,以最小化系统的尺寸,以节省系统的功耗,也可以让残疾人使用计算机,与世界交流,获得知识和信息,就像正常人一样。
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引用次数: 1
Mathematical Modeling of Credit Scoring System Based on the Monge-Kantorovich Problem 基于Monge-Kantorovich问题的信用评分系统数学建模
Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795800
G. Juraev, Kuvonchbek Rakhimberdiev
In this article the issues of further improvement of the credit system in order to ensure the implementation of the Decree of the President of the Republic of Uzbekistan dated May 12, 2020 No 5992 "On the Strategy of Banking Reform in the Republic of Uzbekistan for 2020-2025" studied. Problems of information security in the credit system and their solutions, issues of secure storage of personal data of borrowers through blockchain technology, as well as effective modeling of lending and borrower relations, lending institutions on the basis of established criteria recalculation model and quantitative analysis of the assessment, the application of the Monge-Kantorovich problem in the development of the credit scoring model, the process of forming a credit scoring model based on the model applied to the Monge-Kantorovich transport problem. The credit scoring model based on the Monge-Kantorovich problem is similar to the Bayesian network-based credit scoring model, and calculations are performed using elements of probability theory. Borrowers were evaluated using optimal evaluation criteria. As a result, the process of deciding whether or not to grant a loan to a borrower has been completed. The results obtained were analyzed and a credit scoring model based on the Monge-Kantorovich problem was proposed.
本文研究了进一步改善信用体系的问题,以确保实施2020年5月12日乌兹别克斯坦共和国总统令第5992号“关于乌兹别克斯坦共和国2020-2025年银行改革战略”。信用系统中的信息安全问题及其解决方案,通过区块链技术安全存储借款人个人数据的问题,以及对借贷和借款人关系的有效建模,贷款机构在建立标准的基础上重新计算模型并进行定量分析评估,Monge-Kantorovich问题在信用评分模型开发中的应用;在Monge-Kantorovich运输问题模型的基础上形成信用评分模型的过程。基于Monge-Kantorovich问题的信用评分模型类似于基于贝叶斯网络的信用评分模型,并使用概率论元素进行计算。采用最优评价标准对借款人进行评价。因此,决定是否向借款人提供贷款的过程已经完成。对所得结果进行了分析,提出了一种基于Monge-Kantorovich问题的信用评分模型。
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引用次数: 14
Employee Turnover Prediction Model for Garments Organizations of Bangladesh Using Machine Learning Technique 基于机器学习技术的孟加拉服装企业员工离职预测模型
Pub Date : 2022-06-01 DOI: 10.1109/iemtronics55184.2022.9795701
Lutfun Nahar, Farzana Tasnim, Z. Sultana, Farjana Akter Tuli
Garments and textile industry is one of the vital organizations in the modern world. In the world market, Bangladesh is the second largest manufacturer and supplier of clothing industry. Bangladesh has been facing many problems in the clothing industry. Employee turnover means to leave manpower from existing organization to another in the sake of better opportunity, better salary and so on. For this reason, organization faces many problems because of employee turnover. So there need a system or model that can predict the employee turnover rate and help the organization to take necessary step to stop employee turnover by providing necessary demands of employees. In this research, several machine learning algorithms are used to predict the turnover of employee. Among them 98% accuracy has been achieved with the Random Forest and an accuracy of 92% has been achieved with the Gradient Boosting classifier.
服装和纺织工业是现代世界的重要组织之一。在世界市场上,孟加拉国是第二大服装生产国和供应国。孟加拉国的服装业一直面临着许多问题。员工流动是指为了获得更好的机会、更高的薪酬等而将人力从现有组织转移到另一个组织。因此,由于员工流失,组织面临着许多问题。因此,需要一个系统或模型来预测员工的流失率,并通过提供员工的必要需求来帮助组织采取必要的措施来阻止员工的流失。在本研究中,使用了几种机器学习算法来预测员工的离职。其中随机森林分类器的准确率达到98%,梯度增强分类器的准确率达到92%。
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引用次数: 1
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2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
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