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Articles 7831 - 7860 of 37154
Full-Text Articles in Electrical and Computer Engineering
Direct Torque Control For Silicon Carbide Motor Drives, Mohammad Hazzaz Mahmud
Direct Torque Control For Silicon Carbide Motor Drives, Mohammad Hazzaz Mahmud
Graduate Theses and Dissertations
Direct torque control (DTC) is an extensively used control method for motor drives due to its unique advantages, e.g., the fast dynamic response and the robustness against motor parameters variations, uncertainties, and external disturbances. Using higher switching frequency is generally required by DTC to reduce the torque ripples and decrease stator current total harmonic distortion (THD), which however can lower the drive efficiency. Through the use of the emerging silicon carbide (SiC) devices, which have lower switching losses compared to their silicon counterparts, it is feasible to achieve high efficiency and low torque ripple simultaneously for DTC drives.
To overcome …
Use Of The Igbt Module In The Active Region To Design A High Current Active Filter, Jorge F. Galarraga
Use Of The Igbt Module In The Active Region To Design A High Current Active Filter, Jorge F. Galarraga
Graduate Theses and Dissertations
Particle accelerators require high-precision magnetic fields on the order or 100ppm or less. This implies that the precision of the associated electrical current in the electromagnet that generates these fields should be smaller than 100ppm. However, conventional switching power supplies cannot offer this precision due to the frequency limitation of the switches. This research considers the use of power electronics devices operating in a linear as an alternative solution to meet the requirements of particle accelerator electromagnets.
This thesis presents the study of an insulated-gate bipolar transistor (IGBT) driver using a new control method that linearizes the IGBT’s collector-emitter voltage …
Detection Of Disease And Pest Of Kenaf Plant Based On Image Recognition With Vggnet19, Diny Melsye Nurul Fajri, Wayan Firdaus Mahmudy, Titiek Yulianti
Detection Of Disease And Pest Of Kenaf Plant Based On Image Recognition With Vggnet19, Diny Melsye Nurul Fajri, Wayan Firdaus Mahmudy, Titiek Yulianti
Knowledge Engineering and Data Science
One of the advantages of Kenaf fiber as an environmental management product that is currently in the center of attention is the use of Kenaf fiber for luxury car interiors with environmentally friendly plastic materials. The opportunity to export Kenaf fiber raw material will provide significant benefits, especially in the agricultural sector in Indonesia. However, there are problems in several areas of Kenaf's garden, namely plants that are attacked by diseases and pests, which cause reduced yields and even death. This problem is caused by the lack of expertise and working hours of extension workers as well as farmers' knowledge …
Efficiently Estimating Survival Signature And Two-Terminal Reliability Of Heterogeneous Networks Through Multi-Objective Optimization, Daniel Bruno Lopes Da Silva
Efficiently Estimating Survival Signature And Two-Terminal Reliability Of Heterogeneous Networks Through Multi-Objective Optimization, Daniel Bruno Lopes Da Silva
Graduate Theses and Dissertations
The two-terminal reliability problem is a classical reliability problem with applications in wired and wireless communication networks, electronic circuit design, computer networks, and electrical power distribution, among other systems. However, the two-terminal reliability problem is among the hardest combinatorial problems and is intractable for large, complex networks. Several exact methods to solve the two-terminal reliability problem have been proposed since the 1960s, but they have exponential time complexity in general. Hence, practical studies involving large network-type systems resort to approximation methods to estimate the system's reliability. One attractive approach for quantifying the reliability of complex systems is to use signatures, …
Design And Validation Of A High-Power, High Density All Silicon Carbide Three-Level Inverter, Zhongjing Wang
Design And Validation Of A High-Power, High Density All Silicon Carbide Three-Level Inverter, Zhongjing Wang
Graduate Theses and Dissertations
Transportation electrification is clearly the road toward the future. Compared to internal combustion engine, the electrified vehicle has less carbon-dioxide emission, less maintenance costs and less operation costs. It also offers higher efficiency and safety margin. More importantly, it relieves human’s dependence on conventional fossil energy. In the electrification progress, the revolution of electric traction drive systems is one of the most important milestone. The traction system should keep high efficiency to avoid performance reduction. Moreover, the motor drive should be designed within limited space without sacrificing output power rating. Based on the road map from US Drive Electrical and …
Grid Strength Assessment Trough Q-V Modal Analysis And Maximum Loadability Of A Wind-Dominated Power System Using P-Q Regions, Pierre Obed Dorile
Grid Strength Assessment Trough Q-V Modal Analysis And Maximum Loadability Of A Wind-Dominated Power System Using P-Q Regions, Pierre Obed Dorile
Graduate Theses and Dissertations
Climate change is a menace to the existence of the world and policymakers are trying totackle this phenomenon by deploying large-scale wind farms into their grids. Among them, wind energy shows a promising future to substitute the traditional power plants. However, the deployment of these wind farms into the grid is not a panacea that does not pose any challenges to the grid operators. Keeping the power system voltage stable while considering the strength of the transmission grid is among the major challenges facing by the transmission system operators. Amid normal operation and fault conditions, wind farms should help the …
Fabrication And Characterization Of Photodetector Devices Based On Nanostructured Materials: Graphene And Colloidal Nanocrystals, Wafaa Gebril
Graduate Theses and Dissertations
Photodetectors are devices that capture light signals and convert them into electrical signals. High performance photodetectors are in demand in a variety of applications, such as optical communication, security, and environmental monitoring. Among many appealing nanomaterials for novel photodetection devices, graphene and semiconductor colloidal nanocrystals are promising candidates because of their desirable and unique properties compared to conventional materials.
Photodetector devices based on different types of nanostructured materials including graphene and colloidal nanocrystals were investigated. First, graphene layers were mechanically exfoliated and characterized for device fabrication. Self-powered few layers graphene phototransistors were studied. At zero drain voltage bias and room …
Electrochemical Deposition In Energy Storage Devices, Witness Atutala Martin
Electrochemical Deposition In Energy Storage Devices, Witness Atutala Martin
Graduate Theses and Dissertations
Metals, whether in a solid or soluble ion form, are a vital part of any electrochemical storage system. More so, Li metal is widely considered as the ideal anode because of its low density and low electrochemical potential (-3.04 V vs. the standard hydrogen electrode – SHE). However, just like most metals, it does not plate or strip evenly during cycling which can lead to cycling performance issues, short cycling lifespans, and even safety concerns brought about by dendrites that can cause internal short-circuiting within cells. This research focused on investigating the electroplating of metals in both aqueous and non-aqueous …
Monte-Carlo-Based Analysis Of Traffic Flow For Urban Air Mobility Vehicles, Sara Ghayouraneh
Monte-Carlo-Based Analysis Of Traffic Flow For Urban Air Mobility Vehicles, Sara Ghayouraneh
Graduate Theses and Dissertations
The research conducted in this dissertation is focused on developing a simulation tool that can predict the traffic flow patterns of the Urban Air Mobility vehicles to alleviate some of the challenges related to their traffic management. First, an introduction to the concept of Urban Air Mobility is given, the usage of Automatic Dependent Surveillance-Broadcast systems for Urban Air Mobility vehicles is suggested and dynamic addressing concept is introduced as an answer to a part of air traffic management and address scarcity challenge for Urban air Mobility vehicles. Next, in order to simulate the traffic flow patterns of the Urban …
Computational Modeling Of Black Phosphorus Terahertz Photoconductive Antennas Using Comsol Multiphysics With Experimental Comparison Against A Commercial Lt-Gaas Emitter, Jose Isaac Santos Batista
Computational Modeling Of Black Phosphorus Terahertz Photoconductive Antennas Using Comsol Multiphysics With Experimental Comparison Against A Commercial Lt-Gaas Emitter, Jose Isaac Santos Batista
Graduate Theses and Dissertations
This thesis presents computational models of terahertz (THz) photoconductive antenna (PCA) emitter using COMSOL Multiphysics commercial package. A comparison of the computer simulated radiated THz signal against that of an experimentally measured signal of commercial reference LT-GaAs emitter is presented. The two-dimensional model (2D) aimed at calculating the photoconductivity of a black phosphorus (BP) PCA at two laser wavelengths of 780 nm and 1560 nm. The 2D model was applied to the BP PCA emitter and the LT-GaAs devices to compare their simulated performance in terms of the photocurrent and radiated THz signal pulse. The results showed better performance of …
Development Of A Smart Grid Course In An Electrical Engineering Technology Program, Murat Kuzlu, Otilia Popescu, Vukica M. Jovanovic
Development Of A Smart Grid Course In An Electrical Engineering Technology Program, Murat Kuzlu, Otilia Popescu, Vukica M. Jovanovic
Engineering Technology Faculty Publications
Electric power systems courses have been traditionally offered by electrical engineering technology programs for a long time, with the main objective to introduce students to the fundamental concepts in the field of electric power systems and electrical to mechanical energy conversion. A typical electric power systems course covers a variety of topics, such as general aspects of electric power system design, electric generators, components of transmission and distribution systems, power flow analysis, system operation, and performance measures. In the last decades, electric power systems have significantly modernized alongside with requirement of improvement in system efficiency, reliability, cybersecurity, and environmental sustainability. …
Forecasting Stock Exchange Data Using Group Method Of Data Handling Neural Network Approach, Marzieh Faridi Masouleh, Ahmad Bagheri
Forecasting Stock Exchange Data Using Group Method Of Data Handling Neural Network Approach, Marzieh Faridi Masouleh, Ahmad Bagheri
Knowledge Engineering and Data Science
The increasing uncertainty of the natural world has motivated computer scientists to seek out the best approach to technological problems. Nature-inspired problem solving approaches include meta-heuristic methods that are focused on evolutionary computation and swarm intelligence. One of these problems significantly impacting information is forecasting exchange index, which is a serious concern with the growth and decline of stock as there are many reports on loss of financial resources or profitability. When the exchange includes an extensive set of diverse stock, particular concepts and mechanisms for physical security, network security, encryption, and permissions should guarantee and predict its future needs. …
Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study, Toukir Ahammed, Sumon Ahmed, Mohammed Shafiul Alam Khan
Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study, Toukir Ahammed, Sumon Ahmed, Mohammed Shafiul Alam Khan
Knowledge Engineering and Data Science
Missing link smell occurs when developers contribute to the same source code without communicating with each other. Existing studies have analyzed the relationship of missing link smells with code smell and developer contribution. However, the productivity of developers involved in missing link smell has not been explored yet. This study investigates how productivity differs between smelly and non-smelly developers. For this purpose, the productivity of smelly and non-smelly developers of seven open-source projects are analyzed. The result shows that the developers not involved in missing link smell have more productivity than the developers involved in smells. The observed difference is …
Indonesian Sentence Boundary Detection Using Deep Learning Approaches, Joan Santoso, Esther Irawati Setiawan, Christian Nathaniel Purwanto, Fachrul Kurniawan
Indonesian Sentence Boundary Detection Using Deep Learning Approaches, Joan Santoso, Esther Irawati Setiawan, Christian Nathaniel Purwanto, Fachrul Kurniawan
Knowledge Engineering and Data Science
Detecting the sentence boundary is one of the crucial pre-processing steps in natural language processing. It can define the boundary of a sentence since the border between a sentence, and another sentence might be ambiguous. Because there are multiple separators and dynamic sentence patterns, using a full stop at the end of a sentence is sometimes inappropriate. This research uses a deep learning approach to split each sentence from an Indonesian news document. Hence, there is no need to define any handcrafted features or rules. In Part of Speech Tagging and Named Entity Recognition, we use sequence labeling to determine …
Face Images Classification Using Vgg-Cnn, I Nyoman Gede Arya Astawa, Made Leo Radhitya, I Wayan Raka Ardana, Felix Andika Dwiyanto
Face Images Classification Using Vgg-Cnn, I Nyoman Gede Arya Astawa, Made Leo Radhitya, I Wayan Raka Ardana, Felix Andika Dwiyanto
Knowledge Engineering and Data Science
Image classification is a fundamental problem in computer vision. In facial recognition, image classification can speed up the training process and also significantly improve accuracy. The use of deep learning methods in facial recognition has been commonly used. One of them is the Convolutional Neural Network (CNN) method which has high accuracy. Furthermore, this study aims to combine CNN for facial recognition and VGG for the classification process. The process begins by input the face image. Then, the preprocessor feature extractor method is used for transfer learning. This study uses a VGG-face model as an optimization model of transfer learning …
A Digital One Degree Of Freedom Model Of An Electromagnetic Position Sensor, Michelle Elizabeth Weinmann
A Digital One Degree Of Freedom Model Of An Electromagnetic Position Sensor, Michelle Elizabeth Weinmann
Mechanical & Aerospace Engineering Theses & Dissertations
The purpose of this project was to improve an existing system currently in use by NASA Langley Research Center (LaRC). The 6-inch Magnetic Suspension and Balance System (MSBS) built at MIT is operational with control in three degrees of freedom, with two additional degrees of freedom exhibiting passive stability. The means for measuring model displacement within the magnetic environment is an Electromagnetic Position Sensor (EPS), consisting of excitation coils at 20 kHz and multiple sets of pickup coils. The pickup coil voltages are proportional to model displacement in each degree of freedom. However, the EPS electronic signal processing system is …
Comparative Study Of Nano-Rod And Nano-Sphere Based Localized Surface Plasmon Resonance Refractive Index Biosensors, Mariam M. Moussilli M. M. Moussilli, Abdul Rahman El Falou
Comparative Study Of Nano-Rod And Nano-Sphere Based Localized Surface Plasmon Resonance Refractive Index Biosensors, Mariam M. Moussilli M. M. Moussilli, Abdul Rahman El Falou
BAU Journal - Science and Technology
Localized Surface Plasmon Resonance (LSPR) waves generated by the interaction of light with noble metal nanoparticles has been of great interest in recent years due to the high sensitivity of the extinction spectra of these nanoparticles to the medium's surrounding refractive index up to the atomic level.
In this article, we simulate the extinction spectra of noble metal sphere and rod nanoparticles in order to study the effect of the geometrical shape and size of the nanoparticle on the sensitivity and detection accuracy performance parameters of the extinction spectra. We also simulated the response of the sphere and rod nanoparticle's …
Exploring Robustness Of Neural Networks Through Graph Measures, Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal Carla Bouaynaya
Exploring Robustness Of Neural Networks Through Graph Measures, Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal Carla Bouaynaya
Henry M. Rowan College of Engineering Departmental Research
Motivated by graph theory, artificial neural networks (ANNs) are traditionally structured as layers of neurons (nodes), which learn useful information by the passage of data through interconnections (edges). In the machine learning realm, graph structures (i.e., neurons and connections) of ANNs have recently been explored using various graph-theoretic measures linked to their predictive performance. On the other hand, in network science (NetSci), certain graph measures including entropy and curvature are known to provide insight into the robustness and fragility of real-world networks. In this work, we use these graph measures to explore the robustness of various ANNs to adversarial attacks. …
An Analytical Method Of Switching Waveform Design For Harmonic Elimination, Sraddhanjoli Bhadra
An Analytical Method Of Switching Waveform Design For Harmonic Elimination, Sraddhanjoli Bhadra
Theses and Dissertations
In this dissertation, we have investigated an analytical approach for solving a set of transcendental equations commonly encountered in Selective Harmonic Elimination (SHE). Generally, numerical solutions are used to solve the transcendental equations, which require guessing of an initial value and a valid value of modulation index m. Invalid initial values and an invalid m affect convergence. Such difficulties can be avoided with analytical solutions. The solution set will also determine the possible range of m valid for that modulation. Due to the complexity of solution that often requires computer algorithm to find a solution, we plan to develop design …
Development Of A Bipolar Radiofrequency Ablation Device For Renal Denervation, Noel Perez
Development Of A Bipolar Radiofrequency Ablation Device For Renal Denervation, Noel Perez
USF Tampa Graduate Theses and Dissertations
The American Heart Association (AHA) reported in March 2020, hypertension (HT) is a major risk factor for cardiovascular diseases and heart stroke. Resistant hypertension (RH) is a subset of HT and affects 11-16% of hypertensive patients. RH is diagnosed when a patient cannot achieve blood pressure control despite taking three or more medications and is a serious clinical management challenge.
Renal denervation (RD) using radiofrequency (RF) ablation is an accepted form of RH therapy. RD devices are typically delivered through femoral access into the renal artery with the assistance of a standard guided sheath. In the European Union (EU), the …
Metal Oxide Sensor Array Test Bed Prototype For Diagnostic Breath Analysis, Tiffany C. Miller
Metal Oxide Sensor Array Test Bed Prototype For Diagnostic Breath Analysis, Tiffany C. Miller
USF Tampa Graduate Theses and Dissertations
Detection of specific target biomarkers is a critical step for electronic nose technologies in breath analysis. Electronic nose technologies have been successfully demonstrated in the air quality, meat processing, and the citrus industries, as well as cancer clinical trials. The novel design, assembly, and implementation of a test bed prototype of an electronic nose system is introduced in this Dissertation. To verify the feasibility of a test bed prototype design, a Corona Virus Disease 2019 (COVID-19) breath simulation mixture of alcohol, acetone, and carbon monoxide was presented to the test bed prototype in the laboratory. The COVID-19 breath simulation mixture …
Helipad Detection From Satellite Imagery Using Convolutional Neural Networks, David Specht
Helipad Detection From Satellite Imagery Using Convolutional Neural Networks, David Specht
Theses and Dissertations
Location data about U.S. heliports is often inaccurate or nonexistent in the FAA's databases, which leaves pilots and air ambulance operators with inaccurate information about where to find safe landing zones. In the 2018 FAA Reauthorization Act, Congress required the FAA to collect better information from the helicopter industry under part 157, which covers the construction, alteration, activation and deactivation of airports and heliports. At the same time, there is no requirement to report private helipads to the FAA when constructed or removed, and some public heliports do not have up to date records. This thesis proposes an autonomous system …
Developing Algorithms For Automating The Processes Of Forming The Optimal Structural Composition Of Production - Technological Modules, Alisher Mamajanov, Sarvar Botir Ugli Nabiyev
Developing Algorithms For Automating The Processes Of Forming The Optimal Structural Composition Of Production - Technological Modules, Alisher Mamajanov, Sarvar Botir Ugli Nabiyev
Chemical Technology, Control and Management
In this research, we developed appropriate algorithms for the formation of the optimal structural composition of production - technological modules (PTM) based on the automation of the processes of determining and ensuring the functional-parametric compatibility (FPC) of their components. These algorithms are based on the developed mathematical models on the basis of the use of analytical methods for implementing the interconnection between the main components of the PTM.
Enterprise Engineering And Intellectual Technologies For Lifecycle Management Of Industrial Production, Nodirbek Rustambekovich Yusupbekov, Valery Borisovich Tarasov, Shukhrat Manapovich Gulyamov, Fahritdin Raupovich Abdurasulov
Enterprise Engineering And Intellectual Technologies For Lifecycle Management Of Industrial Production, Nodirbek Rustambekovich Yusupbekov, Valery Borisovich Tarasov, Shukhrat Manapovich Gulyamov, Fahritdin Raupovich Abdurasulov
Chemical Technology, Control and Management
The fundamental scientific problem of the development of the mathematical foundations of engineering for industrial enterprises and the development of mathematical methods of production management, as well as the creation of intelligent systems for coordinated management of the life cycles of products and production in the network of enterprises are discussed. The issues in demand in the development of a vast interdisciplinary field of enterprise engineering and the development of modern network enterprises and intelligent production using mathematical modeling methods are discussed.
Synthesis And Electrochemical Study Of Cuau Nanodendrites For Co2 Reduction, Dylan Siltamaki, Shuai Chen, Farnood Rahmati, Jacek Lipkowski, Ai-Cheng Chen
Synthesis And Electrochemical Study Of Cuau Nanodendrites For Co2 Reduction, Dylan Siltamaki, Shuai Chen, Farnood Rahmati, Jacek Lipkowski, Ai-Cheng Chen
Journal of Electrochemistry
The conversion of carbon dioxide (CO2) to carbon monoxide (CO) and other value-added products is an interesting approach for carbon-containing fuel synthesis using renewable and clean energy. The electrochemical reduction of CO2 is one of the promising strategies for the storage of intermittent renewable energy resources. The development of electrocatalysts with high activity and stability is vital in the electrochemical CO2 reduction process. In this study, copper and gold alloyed (CuAu) electrodes with nanodendritic structures were synthesized using a facile electrodeposition method. The CuAu nanodendrites with the atomic ratio of Cu to Au being approximately 1:1 …
Progress Of Lithium-Ion Transport Mechanism In Solid-State Electrolytes, Bing-Kai Zhang, Lu-Yi Yang, Shun-Ning Li, Feng Pan
Progress Of Lithium-Ion Transport Mechanism In Solid-State Electrolytes, Bing-Kai Zhang, Lu-Yi Yang, Shun-Ning Li, Feng Pan
Journal of Electrochemistry
Inorganic crystalline solid electrolytes exhibit exceptional room-temperature ionic conductivities, giving them the potential to enable all-solid-state lithium (Li) - ion batteries. Developing new high-performance electrolytes is one of the most critical challenges to realize solid-state batteries, which requires understanding how chemistry facilitates fast ionic conduction and what the Li-ion migration mechanism is in inorganic solid electrolytes. In this review, we aim to summarize recent fundamental research progress in Li-ion transport, including crystal structure, behavior of ion migration (i.e., single-ion jump and multi-ions cooperative migration), and the relationship between ion migration and microstructure.
Generally, ion transport in crystalline structure can be …
A Study On Dynamic Characteristics Of A New Remote Transformer Current Converter Without Compensating Capacitor, Sulton Faizullaevich Amirov, Nargisa Kamilovna Babanazarova, Nurullo Rahmatullaevich Yuldashev
A Study On Dynamic Characteristics Of A New Remote Transformer Current Converter Without Compensating Capacitor, Sulton Faizullaevich Amirov, Nargisa Kamilovna Babanazarova, Nurullo Rahmatullaevich Yuldashev
Chemical Technology, Control and Management
In this research paper, analytical equations of the transient characteristics of a new remote transformer current converter without a compensating capacitor have been obtained when a stepwise, linearly increasing, sinusoidal and sinusoidal with a damped amplitude of effects was applied to their input. It has been shown that the developed current converter can be represented in the structural schemes of monitoring and control systems in the form of a series-connected real differentiating link without statism and inertial (aperiodic) link of the first order, and in the case of neglecting active losses in the magnetic circuit and when the converter is …
Models And Fuzzy Microclimate Control System In The Storage Of Archival Documents, Avaz Marakhimov Scd, Prof, Abdushukur Abdullaev
Models And Fuzzy Microclimate Control System In The Storage Of Archival Documents, Avaz Marakhimov Scd, Prof, Abdushukur Abdullaev
Chemical Technology, Control and Management
In this article, the main object of research is the creation of appropriate microclimatic conditions to ensure reliable and high-quality storage of archival documents, as well as automatic control of the optimal values of the main parameters of the external and internal environment that directly affect the quality of storage. To control the microclimate, three categories of models for automatic control of these parameters are considered separately in the archives: the “white box”, “black box” and “gray box " models. The results of the analysis of the advantages and disadvantages of the considered models are presented. The generalized structure …
Issues In Functioning Efficiency Of Security Monitoring Systems In Infocommunication Systems, Majid Karimov Malikovich, Sevara Khamdamova Mirazizovna
Issues In Functioning Efficiency Of Security Monitoring Systems In Infocommunication Systems, Majid Karimov Malikovich, Sevara Khamdamova Mirazizovna
Chemical Technology, Control and Management
The security monitoring system (SMS) receives information from the means of protection, detecting attacks, systems for monitoring the functioning of information communication systems (ICS) and performs adaptive security management of ICS, providing a flexible response of the security system to the actions of the intruder. In this case, the result of the functioning of the SMB are recommendations for modifying the ICS security system, in accordance with the specified restrictions, in order to minimize the possible damage from the implementation of threats. A complex of security systems is used in modern ICS. Typically, different systems are not linked and are …
Identification Of Key Persons In The Information Security Incident Management Process And Distribution Of Roles Between Them, Fayzullajon Bakhtiyorovich Botirov, Sharifjon Rakhimovich Gafurov, Azam Anvorovich Gafurov
Identification Of Key Persons In The Information Security Incident Management Process And Distribution Of Roles Between Them, Fayzullajon Bakhtiyorovich Botirov, Sharifjon Rakhimovich Gafurov, Azam Anvorovich Gafurov
Chemical Technology, Control and Management
This research paper is devoted to the process of information security incident management and the distribution of the roles of key persons in this process. The skills required for members of the information security incident response team are considered, positions and responsibilities are given - typical positions that exist in each organization, testing and improvement procedures are given, the role of the information security incident response team members and employee positions is shown. The quality of the group leader is reflected; responsible for personnel management, scoping and reporting on the state of the organization at a higher level of the …