Research of image processing methods in publishing output systems

Durnyak, Bohdan; Havrysh, Bohdana; Tymchenko, Oleksandr; Doroshenko, Anastasiya

doi:10.1109/memstech.2018.8365728

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…Now let us define the end IoT device as an integral element of the sensor network. A modern trend in the organization of sensor networks is the use of edge computing technology [21][22][23] for processing the data collected by the sensors to relieve the burden of the connection channel with the hub. The spread of this technology is explained by an objective fact: the scale of sensor networks is constantly growing.…”

Section: Resultsmentioning

confidence: 99%

Investigation of the Information Interaction of the Sensor Network End IoT Device and the Hub at the Transport Protocol Level

Kovtun,

Grochla,

Połys

2023

Electronics

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The study examines the process of information transfer between the sensor network end IoT device and the hub at the transport protocol level focused on using the 5G platform. The authors interpreted the researched process as a semi-Markov (focused on the dynamics of the size of the protocol sliding window) process with two nested Markov chains (the first characterizes the current size of the sliding window, and the second, the number of data blocks sent at the current value of this characteristic). As a result, a stationary distribution of the size of the sliding window was obtained both for the resulting semi-Markov process and for nested Markov chains, etc. A recursive approach to the calculation of the mentioned stationary distribution is formalized. This approach is characterized by linear computational complexity. Based on the obtained stationary distribution of the size of the sliding window, a distribution function is formulated that characterizes the bandwidth of the communication channel between the entities specified in the research object. Using the resulting mathematical apparatus, the Window Scale parameter of the TCP Westwood+ protocol was tuned. Testing has shown the superiority of the modified protocol over the basic versions of the BIC TCP, TCP Vegas, TCP NewReno, and TCP Veno protocols in conditions of data transfer between two points in the wireless sensor network environment.

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Section: Resultsmentioning

confidence: 99%

Investigation of the Information Interaction of the Sensor Network End IoT Device and the Hub at the Transport Protocol Level

Kovtun,

Grochla,

Połys

2023

Electronics

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“…(Maenhaut et al, 2017). (Durnyak & Havrysh, 2018) computer vision techniques involved Fourier transform to process the input signal from a picture or video.…”

Section: Cloud Computing With Iotmentioning

confidence: 99%

Smart Parking Guidance System Using 360o Camera and Haar-Cascade Classifier on IoT System

Salma¹,

Olanrewaju²,

Morshidi³

2019

IJRTE

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Nowadays, smart parking guidance system is a crucial research for people’s convenience. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations who are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on raspberry pi camera module and 360o lens and Haar-Cascade classifier. The image and video processing was by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and camera which was implemented on traditional smart parking system. An analysis was done on the performance of the system where it can detect the parking availability with 99.74% accuracy and which is far better than conventional system including reliability and cost for the parking space guidance system.

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“…Not surprisingly, the scientific community uses the same arsenal to describe both biological virus epidemics and computer virus epidemics. The SIR model 1,3,[11][12][13][14] , which is not mentioned in almost any article on epidemiology, was created almost a century ago. It is simple and elegant, but it is much criticized and much praised, like any entity that is used only in certain conditions and has its limitations that you need to be aware of when using it.…”

mentioning

confidence: 99%

Stochastic forecasting of variable small data as a basis for analyzing an early stage of a cyber epidemic

Kovtun,

Grochla,

Kharchenko

et al. 2023

Sci Rep

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Security Information and Event Management (SIEM) technologies play an important role in the architecture of modern cyber protection tools. One of the main scenarios for the use of SIEM is the detection of attacks on protected information infrastructure. Consorting that ISO 27001, NIST SP 800-61, and NIST SP 800-83 standards objectively do not keep up with the evolution of cyber threats, research aimed at forecasting the development of cyber epidemics is relevant. The article proposes a stochastic concept of describing variable small data on the Shannon entropy basis. The core of the concept is the description of small data by linear differential equations with stochastic characteristic parameters. The practical value of the proposed concept is embodied in the method of forecasting the development of a cyber epidemic at an early stage (in conditions of a lack of empirical information). In the context of the research object, the stochastic characteristic parameters of the model are the generation rate, the death rate, and the independent coefficient of variability of the measurement of the initial parameter of the research object. Analytical expressions for estimating the probability distribution densities of these characteristic parameters are proposed. It is assumed that these stochastic parameters of the model are imposed on the intervals, which allows for manipulation of the nature and type of the corresponding functions of the probability distribution densities. The task of finding optimal functions of the probability distribution densities of the characteristic parameters of the model with maximum entropy is formulated. The proposed method allows for generating sets of trajectories of values of characteristic parameters with optimal functions of the probability distribution densities. The example demonstrates both the flexibility and reliability of the proposed concept and method in comparison with the concepts of forecasting numerical series implemented in the base of Matlab functions.

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Research of image processing methods in publishing output systems

Cited by 5 publications

References 5 publications

Investigation of the Information Interaction of the Sensor Network End IoT Device and the Hub at the Transport Protocol Level

Investigation of the Information Interaction of the Sensor Network End IoT Device and the Hub at the Transport Protocol Level

Smart Parking Guidance System Using 360o Camera and Haar-Cascade Classifier on IoT System

Stochastic forecasting of variable small data as a basis for analyzing an early stage of a cyber epidemic

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