Electronic and Acoustic Engineering最新文献_第3页

Use of Machine Learning Methods in MicroGrid 机器学习方法在微电网中的应用

Electronic and Acoustic Engineering Pub Date : 2020-06-30 DOI: 10.20535/2617-0965.2020.3.2.200576

A. Krylov

{"title":"Use of Machine Learning Methods in MicroGrid","authors":"A. Krylov","doi":"10.20535/2617-0965.2020.3.2.200576","DOIUrl":"https://doi.org/10.20535/2617-0965.2020.3.2.200576","url":null,"abstract":"Use of Internet of Things (IoT) concept plays the important role in modern electrotechnical systems with distributed generation. In particular, for the objects like “smart house” in the bounds of this concept some processes are considered that provide fulfillment of such control and regulation functions like following: light control; control of electrical energy consumption; monitoring of biotelemetrical parameters. Of course, this list is far from the complete one. Additionally, the range of control tasks depends on functionality and features of the system. The more is range of the tasks and number of different parameters to be measured, analyzed and processed – the more urgent become use of complicated control algorithms. Among them methods of artificial intelligent has the important place. The actuality is additionally proven by the further increasing of sales volume of the smartphones and other gadgets that combine more and more sensors and give more and more possibilities for the learning, getting and analyzing of the huge volume of different-kind data. Modern systems of energy consumption control use automated regulation of the devices and automated process of decision making. During this, demands of the end consumer get more priority because of necessity to provide admirable level of “comfortability” while all demands of safety and life support should be answered too. However, the presence of the human like a consumer of the services of smart house leads to the complexity of control algorithms creation due to subjectivity and impossibility to predict human behavior. Thus, the methods that can more or less imitate human behavior in technical system have the huge perspective. The aim of the paper is investigation of complicated intellectual methods of decision-making in MicroGrid generation as well as creation of the method able to classify working regimes in MicroGrid. In machine learning methods it is highly important to provide necessary quality of the learning based on accumulated data sets. This quality depends not only on characteristics of dataset itself (like completeness and level of compensation) but also on the learning technique. There is classification of the learning methods was fulfilled in the paper. Among them we considered methods based on following concepts: symbolism; connectivity; evolution; Bayesian probability; analogies. For each method and each ideology we pointed the idea, the concept, the approach and the most problem. Such classification allows to understand better what kind of learning is more preferable on this or that stage or in this or that situation. Then correspondence between the machine learning methods and control tasks in MicroGrid were investigated and presented. The software for the simple situation of light and heating control were elaborated and presented in the paper. Visualization of the machine learning result were executed and the areas of different classes were defined and shown.","PeriodicalId":183220,"journal":{"name":"Electronic and Acoustic Engineering","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121396422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Factors Affecting the Efficiency of Electro-Optical Systems 影响光电系统效率的因素分析

Electronic and Acoustic Engineering Pub Date : 2020-03-31 DOI: 10.20535/2617-0965.2020.3.1.198594

A. Lysenko

{"title":"Analysis of Factors Affecting the Efficiency of Electro-Optical Systems","authors":"A. Lysenko","doi":"10.20535/2617-0965.2020.3.1.198594","DOIUrl":"https://doi.org/10.20535/2617-0965.2020.3.1.198594","url":null,"abstract":"According to present knowledge thermal imaging electro-optical surveillance systems with object detection are widely used in various fields of human activity. Thermal imagers use infrared radiation emitted by objects and people, so it makes possible to take a sight in complete darkness and miscellaneous weather conditions. Typical applications of this technology are security and surveillance systems, along with autonomous navigation industries in aircraft and ground vehicle. The aim of the work is to determine the necessary condition for an accurate parameter estimation of the electro-optical systems allowing for adverse externalities. First of all, the various infrared spectrum ranges will be considered and corresponding wavelengths will be pointed for each of the following. Thermal imaging cameras are capable of receiving emission from an object in the infrared spectral ranges, which have an atmospheric transparency window, i.e. MWIR and LWIR. Then the structural diagram of the phased generation process of infrared images in thermal imaging systems will be discussed. It appears that, the image formation chain includes such components as irradiation source, optics, imaging sensor, read-out electronics, processing electronics, compression and transmission of data, decoding, search & track engine, display and finally human observer. The next chapter will describe the probability method of detecting objects based on the effective resolution of the depicted object. There will be resulted the table of visual perception levels, namely orientation, recognition, identification. And relative levels of perception will be provided the corresponding resolution of the image. The next section will analyze the factors affecting the objects identification. Before the radiation from the object reaches the thermal imaging sensor optics, it must go through many obstacles, which include atmospheric factors such as precipitation and air condition (humidity, temperature), solar radiation, etc. Various equations and models will be carried out to take into account the above factors. For example, Johnson's criterion, and a more advanced Target Task Performance recognition model. This paper considers the main criteria for detecting objects using electro-optical systems in the infrared range. The robust analysis of literature sources will be conduct and describe the basics of visualization and the infrared imaging in thermal systems. Then Johnson criteria, which is considering for calculating the efficiency of electro-optical systems, will be evaluated for validity using in real-world environment. Also, it will be pointed out, that the greatest negative contribution on visualization is made by weather and atmospheric conditions, clutter effects and density, motion-blur and defocusing, along with target properties – aspect ratio and viewing angle. Finally, it will be suggested prediction models and software packages that will help determine the real characteristics of the ","PeriodicalId":183220,"journal":{"name":"Electronic and Acoustic Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116567253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visual Programming Tools for Creating Video Effects 创建视频效果的可视化编程工具

Electronic and Acoustic Engineering Pub Date : 2019-08-30 DOI: 10.20535/2617-0965.2019.2.4.163663

Maryna Mykolaivna Voluiko, Y. Onykiienko

引用次数: 0

Software Tools for Handling Information for the Internet of Things 物联网信息处理软件工具

Electronic and Acoustic Engineering Pub Date : 2019-08-30 DOI: 10.20535/2617-0965.2019.2.4.163846

Denys Oleksandrovych Volosian

{"title":"Software Tools for Handling Information for the Internet of Things","authors":"Denys Oleksandrovych Volosian","doi":"10.20535/2617-0965.2019.2.4.163846","DOIUrl":"https://doi.org/10.20535/2617-0965.2019.2.4.163846","url":null,"abstract":"The analysis of methods of creation of software for information processing for the Internet of things is described. The methods of creating separate stages of the development of applications for reading information and managing Internet speeches are explored. Comparative tables of efficiency of different methods are given, depending on development criteria. A table for analyzing the effectiveness of a combination of different methods for creating front-end and back-end parts of information processing tools for the Internet of Things has also been developed. In this stage of the development of modern technologies, the important place does young, but a very prospective direction is the internet. Specifically, special warnings a technical realization is provided. Differential developments, including the following, before connecting to the network, connect to the user through any wireless network, and enhanced the use of this device. They are constantly improving and appearing new. Urgently important to provide comfort use with a maximum remote control and number of functions, an important role will play the speed and comfort the data management additional. Software internet risk is strongly risks, and that and users 'requirements to contribute and functionality of applications rise the quantity of fast. That the developer appears complex, currently intractable, problem: you need to develop application with a convenient and pleasant user interface designs, maximum performance and response to user actions, and with broad functionality. Theme is actual, that this sphere is very strongly developing, in all your funds investigated in that foreign year. Internet range development is used in different industries, as industry, and sustainable life. Specially in medicine; in the military sphere; in the sales area; in the field of personnel selection, and others. This technology makes life of people and makes it faster. The client, going into the application, sees the display of the front-end parts of web application, that is, the client side of the user interface to the software and hardware part of the service. It contains information about the object, which is taken from the database through the Internet through back-end, that is, software-hardware part of the service. To change certain parameters of the object, the client makes adjustments to the corresponding field of the application, this data fall into the client side of the user interface, from which are redirected to the software and hardware part of the service. After processing – data through the Internet goes to the server. Checking whether the user's requirements for object changes are to display the status of the object in the application. This method is not the only, but the simplest and most visual. In the research component of this article, only the most effective and most common methods of developing the front-end and back-end parts of the application are considered. Ref. 12, fig. 3, tabl. 3","PeriodicalId":183220,"journal":{"name":"Electronic and Acoustic Engineering","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122927484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Independent systems for collecting and transmitting data with a wireless communication channel 用无线通信信道收集和传输数据的独立系统

Electronic and Acoustic Engineering Pub Date : 2019-06-28 DOI: 10.20535/2617-0965.2019.2.3.163438

O. Pereverziev

引用次数: 0

Analysis of filling in missing data to provide maximum power extraction in Micro Grid 填补缺失数据的分析，为微电网提供最大的电力提取

Electronic and Acoustic Engineering Pub Date : 2019-06-28 DOI: 10.20535/2617-0965.2019.2.3.163447

M. O. Korchaka, K. Klen

引用次数: 0

Microprocessor system for determining the intensity of transport motion 用于确定输送运动强度的微处理器系统

Electronic and Acoustic Engineering Pub Date : 2019-06-28 DOI: 10.20535/2617-0965.2019.2.3.163642

Yehor Myroshnychenko

引用次数: 0

Action and movements recognition methods 动作和动作识别方法

Electronic and Acoustic Engineering Pub Date : 2019-06-28 DOI: 10.20535/2617-0965.2019.2.3.164709

D. Soldatov

引用次数: 0

The analysis of the single-crystal transceivers work in the range of ISM for IoT systems 分析了单晶收发器在物联网系统ISM范围内的工作情况

Electronic and Acoustic Engineering Pub Date : 2019-06-28 DOI: 10.20535/2617-0965.2019.2.3.163464

Olha O. Tytarenko, V. V. Makarenko

引用次数: 0

Development of the optimal gamma-ray imaging system design 开发最佳的伽玛射线成像系统设计

Electronic and Acoustic Engineering Pub Date : 2019-06-28 DOI: 10.20535/2617-0965.2019.2.3.163436

Aleksander Ihorovych Mahnyov

引用次数: 0