scholarly journals Data Backup Software Tool Development

2021 ◽  
pp. 19-26
Author(s):  
Yana Chumburidze ◽  
◽  
Tatiana Omelchenko ◽  

Data loss as a result of threats or natural disasters can lead not only to huge financial losses, but also damage the reputation of the company. The most effective way to protect data from loss is backup. The purpose of the study is to select the most appropriate method of data backup and develop a software tool based on it. We discussed the main methods of data backup such as full backup, incremental backup, differential backup, reverse incremental backup and synthetic backup. We identified the following criteria to determine the most appropriate backup method: backup speed, restore speed, backup repository, reliability, network workload, redundancy. We performed a comparative analysis based on the selected criteria to reveal that the most appropriate method of data backup is reverse incremental backup. A functional model, architecture and interface of the software tool have been designed. The main purpose of the software tool is to implement the method of reverse incremental backup to prevent information loss. The conformity of the backup data obtained as a result of performing a reverse backup to the current state of the system is considered to be the achievement of the goal. We conducted a series of experiments that showed that the backup copy corresponds to the current state of the system.

2021 ◽  
Author(s):  
Katrin Weidenbach ◽  
Miriam Gutt ◽  
Liam Cassidy ◽  
Cynthia Chibani ◽  
Ruth A. Schmitz

In recent years, increasing numbers of small proteins have moved into the focus of science. Small proteins have been identified and characterized in all three domains of life, but the majority remains functionally uncharacterized, lack secondary structure, and exhibit limited evolutionary conservation. While quite a few have already been described for bacteria and eukaryotic organisms, the amount of known and functionally analyzed archaeal small proteins is still very limited. In this review we compile the current state of research, show strategies for systematic approaches for global identification of small archaeal proteins and address selected functionally characterized examples. Besides, we document exemplarily for one archaeon the tool development and optimization to identify small proteins using genome wide approaches.


2020 ◽  
Vol 224 ◽  
pp. 02030
Author(s):  
Natalia Panasenko ◽  
Nikolay Motuz ◽  
Asya Atayan

The study is devoted to the analysis of satellite observations data assimilation to discover the necessary information for developing and verifying mathematical models of hydrodynamics and biological shallowwater kinetics. The use of satellite earth sensing data is taken to enhance information base. The possible use of neural networks with optical flow computation is considered in the study. The objective of the study is to develop a software tool used to identify the initial conditions in mathematical modeling of hydrobilogical shallow-water processes.


Author(s):  
Sandra Schöniger

Mares are seasonal polyestric. The morphology of the healthy equine endometrium is influenced by the season of the year, the stage of the endometrial cycle, as well as the presence of endometrial diseases. The latter have an impact on the wellbeing of individual mares and can also inflict major financial losses for the horse breeding industry. The microscopic examination of an endometrial biopsy is an important diagnostic tool, since it can also detect subclinical diseases. This review provides an overview about morphological and molecular features of the healthy and diseased equine endometrium. It reviews the diagnostic findings of inflammatory and degenerative endometrial disease of mares, as well as the current state of knowledge regarding their cellular and molecular pathogenesis. It further shows that the comparative evaluation of morphological features and molecular characteristics of the healthy and diseased equine endometrium is an important prerequisite for the identification of disease-associated molecular markers, which in turn will facilitate the development of diagnostic and predictive biomarkers, as well as novel prophylactic and therapeutic options. Although currently numerous molecular data are already available, future studies are required to establish their translation into clinical practice.


2021 ◽  
Vol 2 ◽  
pp. 32-40
Author(s):  
Miroslav Fusko ◽  
Ľuboslav Dulina ◽  
Peter Bubeník ◽  
Monika Bučková ◽  
Marta Kasajová ◽  
...  

The importance of new disrupting technologies and innovations is crucial for Small and Medium-Sized Enterprises (SMEs). SMEs are critical to large factories because, in many cases, they are their suppliers. Therefore, there is a need for digitization solutions, innovative approaches, and disruptive technologies in these factories. These areas significantly disrupt the usual processes in SMEs. SMEs thus have to deal with significant changes in their business in a relatively short time. The benefits of new approaches for SMEs are described in the second half of the article in the case study. This study deals with the possibility of using a software tool from previous research on the workplace for the production planning and logistics systems team in the selected Slovak factory. The paper itself focuses on the Slovak engineering industry, digitalization and innovations. The selected factory manufactures compressor technology. The factory did not hesitate to use the possibility of cooperation and verification of various functionalities. The cooperation aimed to analyze the current state of production of the selected product and the subsequent design of increasing productivity and economic efficiency concerning improving its internal conditions.


2018 ◽  
Vol 882 ◽  
pp. 174-181 ◽  
Author(s):  
Stefan Müller ◽  
Wolfgang Schlüter ◽  
Jakob Krieg

This study is part of the project Smart Melting in the research cooperation Green Factory Bavaria (GFB). The main targets of the project are the improvement of the key figure OEE (Overall Equipment Effectiveness) and the reduction of the energy consumption in the non-ferrous die-casting industry. By implementing a software tool in the factory of an industrial partner, which collects the essential data to improve maintenance, a necessary requirement for an incident management is created. This article focuses on the current state of data acquisition in the plant of the industrial partner and the estimated potential of process improvement by an incident management system. The collected incident data of the producing die-casting machines are processed and analyzed. In the data analysis the incidents are classified according to their cause and assigned to the respective machine. The time to repair (TTR) and the time to failure (TTF) are investigated in order to obtain statistical probability distributions. The TTR is an exponentially distributed value and the TTF can be depicted using the Weibull distribution [1]. A simulation model based on statistically concentrated data is used to determine the effects of a better incident management on the key figure OEE. An improved maintenance reduces the number of incidents and increases the TTF. An improved incident management which shortens the downtime reduces the TTR. As a result of the improvements the availability factor of the OEE increases remarkably. Furthermore an increase of the quality factor (proportion of good parts) of the OEE can be expected.


Author(s):  
Shuguang Li ◽  
Hod Lipson

We study a parallelized flapping piezo-leaf generator for harvesting ambient wind energy and demonstrate an initial design. We fabricated prototypes in various configurations and performed a series of experiments to study performance trends. We propose a novel vertical-stalk L-shape design that exhibits improved output power density over horizontal piezoelectric configurations. While a significant power density performance gap still exists between the current state of piezoelectric devices and commercial wind turbines, their advantage remains in their robust solid-state, low-cost, low-maintenance and scalable construction.


2021 ◽  
Vol 178 (1-2) ◽  
pp. 31-57
Author(s):  
Franck Cassez ◽  
Peter Gjøl Jensen ◽  
Kim Guldstrand Larsen

We address the safety verification and synthesis problems for real-time systems. We introduce real-time programs that are made of instructions that can perform assignments to discrete and real-valued variables. They are general enough to capture interesting classes of timed systems such as timed automata, stopwatch automata, time(d) Petri nets and hybrid automata. We propose a semi-algorithm using refinement of trace abstractions to solve both the reachability verification problem and the parameter synthesis problem for real-time programs. All of the algorithms proposed have been implemented and we have conducted a series of experiments, comparing the performance of our new approach to state-of-the-art tools in classical reachability, robustness analysis and parameter synthesis for timed systems. We show that our new method provides solutions to problems which are unsolvable by the current state-of-the-art tools.


2019 ◽  
Vol 2 (95) ◽  
pp. 74-84
Author(s):  
Hr. Drobakha ◽  
I. Neklonskyi ◽  
A. Kateshchenok ◽  
V. Sobyna ◽  
D. Taraduda ◽  
...  

Purpose: The conducted research was aimed at constructing a structural and functional model for the interaction of bodies providing aviation safety during crisis management. Design/methodology/approach: The methods of mathematical simulation and the graph theory, the methods comparison and formalization have been applied to study the process of interaction between the bodies assuring aviation safety. Using methods of the linear algebra allowed constructing a mathematical model for the functional structure of the interaction process that contains description of this process by the main methods of interaction. Findings: It has been proved that the interaction process has a certain functional properties that reflect the functional relations between the modes of violator actions, the modes of using the response forces and the modes of interaction. A structural and functional model of interaction in semantic, algebraic forms and in the form of graphs has been created. using typical operations with incidence matrices, the possibility of obtaining the physical interpretation of the simulation results within the introduced algebra of functional structure models has been justified. Research limitations/implications: Discusses interactions between the bodies that assure aviation safety and at the same time, the possibility of a crisis situation is taken into account. Practical implications: The developed models allow reflecting the current state of the functional system and the elements of the process of interaction rather completely. It makes a structural and functional analysis of interaction possible and allows defining the priority directions of its organization, simulating the options and methods of interaction in solving relevant tasks by the bodies that assure aviation safety. Originality/value: That allowed not only describing the formal relations between the methods of interaction and interacting units, between the interacting units and the modes of violator actions, but also considering the influence of the interaction process on the current state of the functional system.


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