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2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)最新文献

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Combined Approach to Detect Anomalies in Health Care Datasets 检测医疗保健数据集异常的综合方法
A. Sysoev, Roman Scheglevatych
Big data characterizing the quality of medical health care services provided to the population contain anomaly observations, which are either results of technical errors in filling databases, or falsified data. In the context of insurance medicine, the actual task is to identify such observation. The paper presents an approach to identify outliers in the database of medical health care information system based on the combination of Isolating Forest algorithm and subsequent neural network classifier.
描述向人口提供的医疗保健服务质量的大数据包含异常观测,这些异常观测要么是填充数据库时的技术错误,要么是数据伪造的结果。在保险医学的背景下,实际的任务是识别这样的观察。提出了一种基于隔离森林算法和后续神经网络分类器相结合的医疗卫生信息系统数据库异常点识别方法。
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引用次数: 2
Application of the Machine Learning Tools in the Problem of Classifying Failures in the Work of the Complex Technical Systems 机器学习工具在复杂技术系统工作故障分类中的应用
L. Demidova, M. Ivkina, D. Marchev
The problem of classifying equipment failures in the complex technical systems using the machine learning tools has been considered. The aim of the study is to develop the intelligent classifier which will allow to classify efficiently and quickly the probable class of error in the work of equipment of the complex technical systems in the context of proactive maintenance activities. The prospects of applying the random forest algorithm and the algorithms based on the artificial neural networks to solve the set problem have been analyzed. The intelligent classifiers based on the recurrent neural networks of the LSTM and GRU type have been developed. The training has been performed with the experimental dataset containing information about the work of aircraft engines and hosted by NASA Ames Research Center in the public domain. Based on the learning results, the most effective classifier has been highlighted, in addition, the recommendations on its further modification to improve the quality of classification have been made.
研究了利用机器学习工具对复杂技术系统中设备故障进行分类的问题。本研究的目的是开发智能分类器,使其能够在主动维护活动的背景下,有效、快速地对复杂技术系统设备工作中可能出现的错误进行分类。分析了随机森林算法和基于人工神经网络的算法在求解集合问题中的应用前景。基于LSTM和GRU型递归神经网络的智能分类器得到了发展。训练是在包含飞机发动机工作信息的实验数据集上进行的,该数据集由美国宇航局艾姆斯研究中心在公共领域托管。在学习结果的基础上,突出了最有效的分类器,并提出了进一步改进分类器以提高分类质量的建议。
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引用次数: 4
Creation of Management Systems for Business Processes of an Industrial Enterprise Using Ontologies 利用本体创建工业企业业务流程管理系统
V. Goryunova, T. Goryunova
The issues related to the creation of a business process management system of an enterprise are considered. A model of business processes based on formalized ontological models and their graphical presentation are considered. Also presented is a conceptual model of an ontological unit for managing business processes. The possibility of using ontologically-oriented methods of description and intellectual support for the planning and organization of production processes in the context of digital transformation is considered. It is emphasized that the use of ontologically-oriented methods in building business processes allows you to create an intelligent system for managing them based on knowledge of the subject area. Thanks to such a system, it is possible to formalize and use all the accumulated experience for effective enterprise management. Successful development of application systems that ensure the implementation of business processes throughout the product life cycle from start to finish is possible only with the use of intelligent information support tools for complex platform solutions.
考虑了与创建企业业务流程管理系统相关的问题。考虑基于形式化本体模型及其图形表示的业务流程模型。还介绍了用于管理业务流程的本体论单元的概念模型。考虑了在数字化转型背景下使用面向本体论的描述方法和对生产过程的规划和组织的智力支持的可能性。需要强调的是,在构建业务流程时使用面向本体论的方法允许您创建一个基于主题领域知识的智能系统来管理它们。有了这样一个系统,就有可能将所有积累的经验正规化并加以利用,进行有效的企业管理。只有使用复杂平台解决方案的智能信息支持工具,才能成功开发确保在整个产品生命周期中从头到尾实现业务流程的应用程序系统。
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引用次数: 0
Natural Language Voice Control Interface for People with Special Needs and Disabilities 为特殊需要和残障人士设计的自然语言语音控制界面
S. Kirillov, O. E. Shustikov, V. Dmitriev
Natural language interface has been developed to provide voice control, information support and training for people with special needs. The requirements for a natural language interface program for people with special needs are considered. Six basic modes of operation of natural language interface taking into account the needs of people with special needs are proposed. It is shown that the use of optimal weight function will ensure the construction of attribute system based on the consistent estimates of generalized power spectrum of a speech signal increasing overall recognition reliability by 10 … 12%.
自然语言接口已经被开发出来,为有特殊需要的人提供语音控制、信息支持和培训。考虑了为有特殊需要的人设计自然语言接口程序的要求。考虑到特殊需要人群的需求,提出了六种自然语言界面的基本操作模式。结果表明,使用最优权函数可以保证基于广义功率谱估计的属性系统的构建,使识别的总体可靠性提高10 ~ 12%。
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引用次数: 0
Digital Reality as an Environment for the Professional Growth of Youth 数码现实作为青年专业成长的环境
T. Bolshunova, M. Zimin
The next change in technological mode in the second half of the 20th century led to the destruction of rigid social structures, the desire for subjectivity, and erosion of the existing compromises and interactions. The popularization of the narrative of the “digital society” or “Industry 4.0” is not yet accompanied by the emergence of a universally recognized paradigm that reflects the emerging reality. In conditions of intensive technological and socio-economic changes in the surrounding reality, uncertainty and risk-taking of the future, the responsibility of a self-determined young person in the professional sphere for independently made decisions increases. The key issue is the preparation of a professional who is adequate to the trends of digital development. The priority components of the institutional environment of the forming professional are organizational structures, employers and the educational system. The process of transforming these institutions into digital reality with unforeseen results creates conditions for the uncertainty of the future. The need to implement various professional launch strategies increases the risks of the digital generation. At the same time, researchers highlight the typical characteristics of the digital generation, which make it difficult to form specialist competencies and enter professional activities.
20世纪下半叶技术模式的下一次变化导致了僵化的社会结构的破坏,对主体性的渴望,以及对现有妥协和互动的侵蚀。“数字社会”或“工业4.0”叙事的普及尚未伴随着反映新兴现实的普遍认可范式的出现。在周围现实的密集技术和社会经济变化、未来的不确定和冒险的情况下,在专业领域中自主的年轻人独立作出决定的责任增加了。关键问题是要培养出能够适应数字化发展趋势的专业人才。形成专业人员的体制环境的优先组成部分是组织结构、雇主和教育制度。将这些机构转变为数字现实的过程产生了不可预见的结果,为未来的不确定性创造了条件。实施各种专业发布策略的需要增加了数字一代的风险。同时,研究人员强调了数字一代的典型特征,这使得他们难以形成专业能力并进入专业活动。
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引用次数: 0
Improving the Efficiency of Accident Response Services in Intelligent Transportation and Logistics Systems 提高智能交通和物流系统中事故响应服务的效率
S. Lyapin, Y. Rizaeva, D. Kadasev, I. M. Kadaseva
The article proposes priority measures for the integration of Russia into the Euro-Asian transport and logistics network and an approach to the intelligent management of the supply chains of the services of the subsystem for the elimination of consequences of road traffic accidents (SEC traffic accidents). SEC traffic accidents is a multicomponent structure integrated into the regional intelligent transportation and logistics system (ITLS). ITLS of the Russian Federation acts as one of the modules of the global Euro-Asian network, the components of which, in addition to transport and logistics flows, are also the external and the environment. It is shown that the effectiveness of the functioning of international transport corridors (ITC) largely depends on the effective operation of regional ITLs that can affect not only the number of accidents, but also the time and quality of restoration of the elements of the «driver-car-road-environment» subsystem that were damaged as a result accident. The necessity of combining the services and organizations involved in the liquidation of the consequences of an accident in a SEC traffic accident is substantiated. Integration of SEC traffic accidents into regional ITLS will allow: to reduce the levels of accidents and injuries in road transport; minimize damage from accidents; will reduce various types of risks for the entire transport system; will increase the efficiency and safety of ITC.
本文提出了俄罗斯融入欧亚运输和物流网络的优先措施,以及消除道路交通事故后果子系统服务供应链的智能管理方法(SEC交通事故)。区域交通事故是一个集成到区域智能交通物流系统(ITLS)中的多组件结构。俄罗斯联邦国际运输系统是全球欧亚网络的一个模块,该网络的组成部分除了运输和物流流动外,还包括外部和环境。研究表明,国际交通走廊(ITC)功能的有效性在很大程度上取决于区域国际交通走廊的有效运行,这不仅会影响事故的数量,还会影响因事故而受损的“驾驶员-汽车-道路-环境”子系统要素恢复的时间和质量。在SEC交通事故中,将参与事故后果清算的服务和组织结合起来的必要性得到了证实。将SEC交通事故纳入区域ITLS将允许:减少道路运输中的事故和伤害水平;尽量减少事故造成的损失;将降低整个运输系统的各种风险;将提高ITC的效率和安全性。
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引用次数: 1
Strategic Thinking Models for Team Building 团队建设的战略思维模式
V. Korepanov
The problem of team building of agents is considered, the goal of the team is to solve the convex optimization problem. Uncertainty about the behavior of opponents and a model of strategic thinking (beliefs about behavior of opponents) are introduced. We study the possibilities of such models to achieve the goal of the team.
考虑智能体的团队建设问题,团队的目标是解决凸优化问题。介绍了对手行为的不确定性和战略思维模型(对对手行为的信念)。我们研究这些模型实现团队目标的可能性。
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引用次数: 2
Method of Sensorless Determination of Mechanical Parameters and Information-Measuring System of Valve-Inductor Drives 阀电感传动机械参数的无传感器测定方法及信息测量系统
P. Levin, V. Blazhevich, A. Boikov, V. Penkov
This article explores sensorless control systems for a valve-induction motor. The basic methods of sensorless valve-induction motor control are considered. Disadvantages of determination of the speed of the engine on the output signal of the comparator at the use of a method of measurement flux linkage are revealed. A method for determining the speed based on the determination of the coordinated positions of the stator and rotor teeth by detecting peaks of the inductances of the motor phases is proposed.
本文探讨了一种阀感应电机的无传感器控制系统。研究了无传感器阀-感应电机控制的基本方法。揭示了用测量磁链的方法在比较器的输出信号上测定发动机转速的缺点。提出了一种通过检测电机相电感峰值确定定子和转子齿的协调位置来确定转速的方法。
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引用次数: 0
Evaluation of Adverse Factors Acting on a Pre-stressed Wire Rope Structure by Means of Artificial Neural Network 基于人工神经网络的预应力钢丝绳结构不利因素评价
A. Chesnokov, V. Mikhailov, I. Dolmatov
High-strength pre-stressed wire rope structures are an efficient solution in the field of the construction industry. Operational reliability of wire rope structures substantially depends on maintenance and monitoring procedures. The primary purpose of structural health monitoring is to detect damage in the construction. On the other hand, adverse factors, which caused the damage, are usually not obvious and remain hidden, preventing taking appropriate corrective measures in due time. The present work offers estimating adverse factors by means of Artificial Neural Networks. Thus, maintenance personnel will be able to prevent damage of the structure in the most effective way. In addition, the present approach may, potentially, allow automatic attenuation of adverse factors discovered, using Machine Learning algorithms and techniques. Thus, the problem considered in the research is prospective and meaningful.
高强度预应力钢丝绳结构是建筑行业领域的一种有效解决方案。钢丝绳结构的运行可靠性在很大程度上取决于维护和监控程序。结构健康监测的主要目的是检测结构的损伤。另一方面,造成损害的不利因素往往不明显,处于隐蔽状态,无法及时采取适当的纠正措施。本工作提供了利用人工神经网络估计不利因素的方法。因此,维修人员将能够以最有效的方式防止结构的损坏。此外,目前的方法可能潜在地允许使用机器学习算法和技术自动衰减发现的不利因素。因此,本研究所考虑的问题具有前瞻性和意义。
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引用次数: 4
Control of a Complex of Works in Multiprocessor Real-Time ACS 多处理机实时ACS中工作复合体的控制
D. Kononov, M. Furugyan
Mathematical models of scheduling in real-time ACS are considered. Effective algorithms for scheduling in multiprocessor real-time automation are offered. For intermittent works heuristic algorithms are proposed. For uninterrupted work accurate pseudopolynomial algorithm is given. The synthesis problem is considered. A brief overview of a number of generalizations of the considered problems is given. The possibilities of application of the obtained results are indicated.
考虑了实时ACS调度的数学模型。提出了多处理机实时自动化调度的有效算法。针对间歇式工程,提出了启发式算法。对于不间断工作,给出了精确的伪多项式算法。考虑了综合问题。简要概述了所考虑的问题的一些概括。指出了所得结果应用的可能性。
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引用次数: 2
期刊
2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)
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