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GPON based network planning using digital area maps 基于GPON的数字区域图网络规划
Pub Date : 2022-09-28 DOI: 10.1109/ICISCT55600.2022.10146836
Akmal Arifdjanov, S. Sadchikova
Multimedia applications require the access network modernization based on optical technologies. Automatic network planning is not finished on the access technology choice. Next step is definition geographical area and the main network element locations and special parameters calculation of chosen access technology, it is the most time-consuming the initial data processing of the terrain objects. FTTH architecture uses PON as a transport technology. This article is discussed how you can develop algorithms for GPON based network planning using digital area maps.
多媒体应用要求以光技术为基础的接入网现代化。自动组网规划还没有完成,就接入技术的选择。下一步是确定地理区域和主要网元位置以及选定接入技术的特殊参数计算,这是最耗时的地形对象的初始数据处理。FTTH架构使用PON作为传输技术。本文讨论了如何使用数字区域图开发基于GPON的网络规划算法。
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引用次数: 0
Co- evolutionary hybrid intelligence technologies are the next step in the development of personalized intelligent human assistants 协同进化混合智能技术是个性化智能人类助手发展的下一步
Pub Date : 2022-09-28 DOI: 10.1109/ICISCT55600.2022.10146734
Y. Shichkina, K. Krinkin
In this article we show that the transfer to a fundamentally new level of development of intelligent systems is possible if they are personified. The optimal way of transition to personified AI systems is their construction on the basis of the concept of co-evolutionary hybrid intelligence. In this article the basic principles of coevolutionary hybrid intelligence and their importance for the construction of a new generation of intelligent systems are considered. An example of creating a personalized intelligent human assistant for patients with Parkinson’s disease is given.
在这篇文章中,我们表明,转移到一个根本的智能系统的发展新水平是可能的,如果他们是人格化。向人格化人工智能系统过渡的最佳途径是基于协同进化混合智能概念的构建。本文讨论了共同进化混合智能的基本原理及其对构建新一代智能系统的重要性。给出了一个为帕金森病患者创建个性化智能助手的实例。
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引用次数: 0
SulfoTyr-PseAAC: A Machine Learning Framework to Identify Sulfotyrosine Sites SulfoTyr-PseAAC:一种识别巯基酪氨酸位点的机器学习框架
Pub Date : 2022-09-28 DOI: 10.1109/ICISCT55600.2022.10146792
Asghar Ali Shah, Y. Khan
Tyrosine is a type of protein which is a chain of amino acid residues. It is utilized to synthesize proteins by eukaryotic. It is post-Translational modified (PTM) by its side chain hydeoxyl group by sulfation, phosphorylation, and nitration. Sulfotyrosine participate in protein-protein interaction. Sulfotyrosine is irreversible because still there is no enzymes that removes sulfate from tyrosine residue. Sulfotyrosines are identified in human diseases such as diabetes and Age-related Macular degeneration (AMD). It is very important to investigate the occurrence of sulfation in Tyrosine. There are many methods available to accurately predict Sulfotyrosines but most of them need more time and expert team. Therefore, a model is developed to predict sulfotyrosine accurately and efficiently and it is possible through machine learning algorithms which reduce cast and time. This study created a Machine through Logistic Regression which learnt statistical moments and can predict accurately. The prediction accuracy of this proposed model is 100%. The methodology of this study depends upon Chou’s 5-step rule.
酪氨酸是一种蛋白质,它是氨基酸残基链。真核生物利用它合成蛋白质。它是由其侧链羟基经过磺化、磷酸化和硝化修饰而成的翻译后修饰(PTM)。硫代酪氨酸参与蛋白质-蛋白质相互作用。硫代酪氨酸是不可逆的,因为仍然没有酶从酪氨酸残留物中去除硫酸盐。磺胺基酪氨酸在糖尿病和老年性黄斑变性(AMD)等人类疾病中被发现。研究酪氨酸中硫酸化的发生具有重要意义。目前有许多方法可以准确地预测硫代酪氨酸,但大多数方法需要更多的时间和专家团队。因此,开发了一个模型来准确有效地预测硫代酪氨酸,并且可以通过机器学习算法减少铸造和时间。本研究通过逻辑回归创造了一个学习统计矩并能准确预测的机器。该模型的预测精度为100%。这项研究的方法取决于周的五步规则。
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引用次数: 1
The use of Big Data in the field healthcare: Uzbekistan and foreign experience 大数据在医疗领域的应用:乌兹别克斯坦和国外的经验
Pub Date : 2022-09-28 DOI: 10.1109/ICISCT55600.2022.10146984
Khudayshukur Kuzibaev, T.K. Urazmatov, B. B. Nurmetova
The article analyzes the use of big data in healthcare. Various approaches have been described to the definition of the concept (Big Data), the scope of this technology; the most demanded technologies by industries are shown. Considered the prerequisites for the use of big data in healthcare, as well as the advantages and disadvantages of using big data in healthcare. The historical experience of using Big Data in Uzbekistan and the USA is noted, specific examples of application in Uzbekistan, Europe, the USA, and China are analyzed. The article provides a forecast for the big data market in Uzbekistan healthcare and shows a practical example of using Python as part of the analysis large flow of medical data. Conclusions are drawn about the characteristic trends in the use of large data in different countries. The conclusion is made about the importance of using big data in healthcare.
本文分析了大数据在医疗保健中的应用。各种方法已经被描述到概念(大数据)的定义,该技术的范围;展示了行业最需要的技术。考虑了在医疗保健中使用大数据的先决条件,以及在医疗保健中使用大数据的优缺点。指出了乌兹别克斯坦和美国使用大数据的历史经验,分析了乌兹别克斯坦、欧洲、美国和中国的具体应用实例。本文提供了乌兹别克斯坦医疗保健大数据市场的预测,并展示了使用Python作为分析大流量医疗数据的一部分的实际示例。得出结论,在不同的国家在使用大数据的特点趋势。总结了大数据在医疗保健领域应用的重要性。
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引用次数: 0
Applications of Fuzzy Logic in Recruitment Systems 模糊逻辑在招聘系统中的应用
Pub Date : 2022-09-28 DOI: 10.1109/ICISCT55600.2022.10147000
Kunduz Medetova, Djamshid Sultanov
This paper presents methods for solving problems using the method of fuzzy logic. This method serves to study the characteristics of determining the level of compliance of a candidate for an existing vacant position. When measuring compliance with database requirements based on the results of assessing compliance with the requirements of an employee for a position. The use of artificial intelligence in personnel records gives high efficiency and serves for decision making.
本文介绍了用模糊逻辑方法求解问题的方法。这种方法用于研究确定候选人对现有空缺职位的遵守程度的特点。当基于评估员工对某个职位的要求的遵从性的结果来衡量数据库要求的遵从性时。人工智能在人事档案中的应用提高了效率,为决策服务。
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引用次数: 0
The importance of loss function in artificial intelligence 损失函数在人工智能中的重要性
Pub Date : 2022-09-28 DOI: 10.1109/ICISCT55600.2022.10146883
Nodir Raximov, Jura Kuvandikov, Khasanov Dilmurod
As known, Artificial Intelligence is based on Machine Learning(ML) and Deep Learning(DL). And improving ML and DL is connected to Loss function in neural networks. In the importance optimization algorithms Loss function of great importance. There are different types of Loss function in Artificial Intelligence. In this article, some Loss types are illustrated advantages (disadvantages) and analyzed with examples. We may seek to maximize or minimize the objective function, meaning that we are searching for a candidate solution that has the highest or lowest score respectively. Typically, with neural networks that are one of the main part of the Artificial intelligence, we seek to minimize the error. As such, the objective function is often referred to as a cost function or a loss function and the value calculated by the loss function is referred to as simply “Loss.”
众所周知,人工智能是基于机器学习(ML)和深度学习(DL)。改进ML和DL与神经网络中的Loss函数有关。在重要性优化算法中,损失函数具有重要的意义。在人工智能中有不同类型的损失函数。本文阐述了几种损耗类型的优点(缺点),并结合实例进行了分析。我们可能会寻求最大化或最小化目标函数,这意味着我们正在寻找分别具有最高或最低分数的候选解决方案。通常,神经网络是人工智能的主要组成部分之一,我们寻求最小化误差。因此,目标函数通常被称为成本函数或损失函数,由损失函数计算的值被简单地称为“损失”。
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引用次数: 1
Problems of Vanet Networks Vanet网络的问题
Pub Date : 2022-09-28 DOI: 10.1109/ICISCT55600.2022.10146936
Halim Khujamatov, A. Lazarev, Nurshod Akhmedov
This article deals with the problems of VANET networks, which is a network of motor vehicles. Attention will be paid to such problems as: aggregation, clustering, broadcasting, routing, quality of service, security, etc. The article also discusses the process of transmitting and relaying data, and in order to reduce the load on the relay node, an algorithm will be proposed.
本文讨论了VANET网络的问题,这是一种机动车辆网络。关注的问题包括:聚合、集群、广播、路由、服务质量、安全等。本文还讨论了数据的传输和中继过程,为了减少中继节点的负载,提出了一种算法。
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引用次数: 0
Algorithms for highlighting the contours of images based on the theory of fuzzy sets 基于模糊集理论的图像轮廓高亮算法
Pub Date : 2022-09-28 DOI: 10.1109/ICISCT55600.2022.10146799
A.Q. Ergashev, O.Kh. Turakulov, A. Abdumalikov, O. A. Kayumov
In the work, algorithms for isolating the contours of images based on the theory of fuzzy sets are carried out, In this section, the state of the issue of image processing using the concept of fuzzy sets is considered in relation to the following tasks: improving image quality, image segmentation and outlining on images.
在这项工作中,基于模糊集理论进行了图像轮廓隔离的算法。在本节中,使用模糊集概念的图像处理问题的现状与以下任务有关:提高图像质量,图像分割和图像概述。
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引用次数: 0
2D Reflexive CA Rules over ℤp p上二维自反CA规则
Pub Date : 2022-09-28 DOI: 10.1109/ICISCT55600.2022.10146761
Doston Jumaniyozov, Shovkat Redjepov, Otaxon Khudayberganov
The present paper is devoted to study of a new type of lattice that is called pentagonal lattice. We define the von Neumann neighborhood of a cell in this lattice. After that, it is considered a linear Cellular Automata with von Neumann neighborhood over pentagonal lattice. We investigate this Cellular Automata with reflexive boundary condition. For the considered Cellular Automata, we construct the transition rule matrix over the field ℤp with reflexive boundary condition.
本文研究了一种叫做五边形晶格的新型晶格。我们定义了晶格中细胞的冯·诺依曼邻域。然后,将其视为五边形晶格上具有冯·诺依曼邻域的线性元胞自动机。研究了具有自反边界条件的元胞自动机。对于所考虑的元胞自动机,我们构造了具有自反边界条件的域上的转移规则矩阵。
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引用次数: 0
The Procedure for Forming a List of Sources of Attack in the Information System 形成信息系统攻击源列表的程序
Pub Date : 2022-09-28 DOI: 10.1109/ICISCT55600.2022.10146884
Bekmirzaev Obidjon Nuralievich, Muminov Bahodir Boltaevich, Bekmurodov Ulugbek Bahrom Ugli
the purpose of the attack on the information system is separated and the clear cause and effect are formed. Taking this into account, the impact of the negative consequences of the type of damage is determined. the procedure of creating a list of sources of attack in the information system was seen, on the basis of which it was suggested that there is a need to see the set of events of the node state under the influence of the attack.
对信息系统的攻击目的进行了分离,形成了明确的因果关系。考虑到这一点,确定了损害类型的负面后果的影响。看到了在信息系统中创建攻击源列表的过程,在此基础上,有人建议有必要查看受攻击影响的节点状态事件集。
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2022 International Conference on Information Science and Communications Technologies (ICISCT)
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