2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)最新文献_第4页

Investigation of Biomechanical Characteristics of Materials for Endocardial Implants 心内膜植入材料生物力学特性的研究

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235461

I. Khudetskyy, Y. Antonova-Rafi, M. Hleza, V. Antonov, V. Zaitseva

引用次数: 0

Calculation of Efficiency in Solar Cell Based on Porous Silicon 基于多孔硅的太阳能电池效率计算

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235480

O. Buryk, A. Druzhinin, V. Yerokhov

引用次数: 0

Peculiarities of Psycho-Physiological Selection of Operators for Unmanned Aviation Systems 无人航空系统操作人员心理生理选择的特点

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235508

S. Zlepko, L. G. Koval, D. Shtofel, V. O. Homolinskyi, M. I. Palamarchuk

{"title":"Peculiarities of Psycho-Physiological Selection of Operators for Unmanned Aviation Systems","authors":"S. Zlepko, L. G. Koval, D. Shtofel, V. O. Homolinskyi, M. I. Palamarchuk","doi":"10.1109/TCSET49122.2020.235508","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235508","url":null,"abstract":"World experience in operating unmanned aerial vehicle complexes of operational and tactical assignments showed that the most effective operator team consists of three specialists. First, it is the unmanned aerial vehicle pilot, the one who directly controls the flight. Secondly, the operator of the onboard objectives. He works with sensor systems of various spectral ranges – they serve to monitor the battlefield, search, detect and identify the objects of interest. The same operator makes the decision on aiming and launching weapons. Third, an intellectual support operator with experience in controlling unmanned aerial vehicles, who is competent in the technology of expert systems to assist the pilot and possesses a quick decision-making response.Since the errors related to the operator’s reliability can lead to the loss of unmanned aerial vehicle, we advise conducting a professional psycho-physiological selection of unmanned aviation systems personnel. Success in a real-world environment is impossible without good preparation. Therefore, the definition and prognosis of the candidate’s psycho-physiological state, his ability to the assimilation of necessary knowledge and skills are of great practical importance. Thus, the selection should be made not based on a static assessment of the candidate’s general and professional properties, but also on the basis of revealing the dynamics of development of a certain attribute and its tendency to improve during training and professional activity. We designed the three-stage technology of selection and training of UAV operators that provides a high level of unmanned aviation system specialists.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127634870","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: 2

Methods and means of diagnosing the phenomenon of parametric resonance in the process of lifting vessels movement in the trenches of ore and coal mines 矿坑、煤矿井下升降船运动过程中参数共振现象的诊断方法和手段

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235392

S. Popov, L. Ishchenko, M. Ishchenko, D. Dyachenko

{"title":"Methods and means of diagnosing the phenomenon of parametric resonance in the process of lifting vessels movement in the trenches of ore and coal mines","authors":"S. Popov, L. Ishchenko, M. Ishchenko, D. Dyachenko","doi":"10.1109/TCSET49122.2020.235392","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235392","url":null,"abstract":"One of the serious problems that occur during the movement of hoists in the vertical shafts of ore and coal mines is the necessity to avoid dangerous situations. The actuality of this theme is caused by highly aggressive conditions, which are present in mine shafts. Sooner or later these conditions significantly change the design parameters of reinforcement of shafts and especially the parameters of the system \"hoist – runners\". This situation is the consequence of the load on the runners by multiple cyclic movements of hoists, pressure on the shaft, intensive corrosion of the reinforcement. All of these phenomena in the complex may disrupt of linearity track movement of hoists in the shaft. The most dangerous consequences called \"Parametric resonance\" in the process of shifting the hoist along with the runner. The phenomenon of parametric resonance is capable within 1-3 seconds to disable reinforcement of the shaft and the hoist. Their restoration is an extremely difficult and timeconsuming process as it requires a full stop of work of the hoisting system of the mine for a long time and considerable expenditure of money and time to repair the reinforcement. Prevention of the occurrence of such a phenomenon is a very urgent task to ensure a trouble-free operation of the hoisting system of mines.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125318494","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: 1

Deep Learning based Adaptive Handover Optimization for Ultra-Dense 5G Mobile Networks 基于深度学习的超密集5G移动网络自适应切换优化

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235560

B. Shubyn, Nazarii Lutsiv, Oleh Syrotynskyi, Roman Kolodii

引用次数: 11

A Malware Detection Method Based on Improved Fireworks Algorithm and Support Vector Machine 基于改进Fireworks算法和支持向量机的恶意软件检测方法

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235556

Dawei Dong, Z. Ye, Jun Su, Shiwei Xie, Yuxiang Cao, R. Kochan

{"title":"A Malware Detection Method Based on Improved Fireworks Algorithm and Support Vector Machine","authors":"Dawei Dong, Z. Ye, Jun Su, Shiwei Xie, Yuxiang Cao, R. Kochan","doi":"10.1109/TCSET49122.2020.235556","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235556","url":null,"abstract":"The increasing of malwares has presented a serious threat to the security of computer systems in recent years. Traditional signature-based anti-virus systems are not able to detect metamorphic and previously unseen malwares and it inspires people to use machine learning methods such as Naive Bayes and Decision Tree to identity malicious executables. Among these methods, detecting malwares by using Support Vector Machine (SVM) is one of the most effective approaches. However, the parameters of SVM have serious impacts on its classification performance. In order to find the optimal parameter combination and avoid the problem of falling into local optimal solution, many methods based on evolutionary algorithms are proposed, including Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE) and others. But these algorithms still face the problem of being trapped into local solution spaces in different degree. In this paper, an improved fireworks algorithm is presented and applied to search parameters of SVM: penalty factor c and kernel function parameter g. To research the performance of the proposed algorithm, numeric experiments are made and compared with some typical algorithms, the experimental results demonstrate it outperforms other algorithms.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"342 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123348930","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: 2

Diagnostics of Time Synchronization Means of the Integrated Power Grid of SMART Technologies by Using an Optimal Performance System of Automatic Frequency Adjustment 利用性能最优的自动调频系统诊断智能技术综合电网时间同步手段

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235574

V. Koval, Vitaliy Lysenko, D. Kalian, Oleksandr Osinskiy, O. Samkov, M. Khudyntsev

引用次数: 3

Six-port Reflectometer with Kalman Filter Processing of Sensor Signals 六端口反射计与卡尔曼滤波传感器信号的处理

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235390

O. Zaichenko, Pavlo Galkin, N. Zaichenko, M. Miroshnyk

引用次数: 6

Invariant Two-frequency Quartz Oscillators Based on Dual-loop Automatic Frequency Control Systems 基于双环自动频率控制系统的不变双频石英振荡器

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235541

S. Pidchenko, A. Taranchuk, Maksym Slobodian, Roman Durda

引用次数: 2

The Method of Adaptive Radio Coverage Formation of Wireless Network Based on the Wi-Fi controller 基于Wi-Fi控制器的无线网络自适应无线电覆盖形成方法

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235569

Zhengbing Hu, I. Kahalo, H. Beshley, Natalia Diachenko, Su Jun

{"title":"The Method of Adaptive Radio Coverage Formation of Wireless Network Based on the Wi-Fi controller","authors":"Zhengbing Hu, I. Kahalo, H. Beshley, Natalia Diachenko, Su Jun","doi":"10.1109/TCSET49122.2020.235569","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235569","url":null,"abstract":"In recent days, the wireless communication technology has become an integral part of several types of communication devices as it allows users to communicate even from remote areas. Wi-Fi is one of the main types of wireless communication used by many electronic devices such as laptops, smart phones and Internet of Things (IoT) devices. Using Wi-Fi infrastructure to provide quality multimedia services and deploying IoT services requires new approaches to network resource management. The method of adaptive size formation of a Wi-Fi network cell in the corporate infrastructure is proposed. The idea of the method is to adapt the size of a Wi-Fi cell coverage depending on the QoS requirements and load localization under conditions of insufficient bandwidth resources for network users and IoT devices. This method is implemented by writing a script file on the Cisco 5508 Wi-Fi controller that makes informed decisions on changing the cell coverage size in a centralized manner. Using this method allowed to provide high-speed wireless Internet access for users, provide a good QoS for IoT services and increase Wi-Fi network availability in high network-load conditions by effectively managing network resources depending on the actual operation scenario and requirements of individual users and IoT devices.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114290983","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: 2