Conference Technology Transfer: fundamental and innovative technical solutions
Not a member yet
111 research outputs found
Sort by
Development on advanced technologies – design and development of cloud computing model
Get PDFBig Data has been created from virtually everything around us at all times. Every digital media interaction generates data, from computer browsing and online retail to iTunes shopping and Facebook likes. This data is captured from multiple sources, with terrifying speed, volume and variety. But in order to extract substantial value from them, one must possess the optimal processing power, the appropriate analysis tools and, of course, the corresponding skills. The range of data collected by businesses today is almost unreal. According to IBM, more than 2.5 times four million data bytes generated per year, while the amount of data generated increases at such an astonishing rate that 90 % of it has been generated in just the last two years. Big Data have recently attracted substantial interest from both academics and practitioners. Big Data Analytics (BDA) is increasingly becoming a trending practice that many organizations are adopting with the purpose of constructing valuable information from BD. The analytics process, including the deployment and use of BDA tools, is seen by organizations as a tool to improve operational efficiency though it has strategic potential, drive new revenue streams and gain competitive advantages over business rivals. However, there are different types of analytic applications to consider. This paper presents a view of the BD challenges and methods to help to understand the significance of using the Big Data Technologies. This article based on a bibliographic review, on texts published in scientific journals, on relevant research dealing with the big data that have exploded in recent years, as they are increasingly linked to technolog
Development of a model for energy efficiency management of a ship at different stages of its lifecycle
Get PDFThe problem of increasing energy efficiency in commercial shipping has been in the focus of attention of many specialists over the past few decades. The adopted and entered into force resolutions of the International Maritime Organization (IMO) require ship-owners to develop and implement energy efficiency management plans. Considerable and increased attention is now being paid to the solution of this problem.
However, it has not yet been possible to achieve real practical results – commercial shipping already accounts for more than 3 % of greenhouse gas emissions, and this value is growing from year to year.
The reason for this effect is the practically absence of a systematic scientifically grounded approach to the issue. Management of carbon dioxide emissions into the atmosphere is mainly in the operational phase of the ship, although the foundations are laid during the design, construction, modernization and refurbishment phases.
This study is aimed at developing a comprehensive model for managing the energy efficiency of a ship throughout the entire life cycle. It is proposed to use the cost of a full cycle and the coefficient of energy efficiency as target functions of the model. A method for solving the problem of two-criterion optimization is proposed. The use of this model will be able to significantly reduce the amount of greenhouse gas emission
The intelligent monitoring and evaluation of the psychophysiological state of the workers employed on offshore oil and gas platforms
Get PDFOil and gas companies have an urgent need for technologies that provide complete and reliable information about the actual state of health and safety of personnel. To solve this problem, the article proposes a concept solution for the development of a system monitoring of the psychophysiological health of workers employed on offshore oil platforms. The concept is based on a person-centered approach and allows monitoring of health of employees simultaneously linking them to the context of the environment. The urgency of the problem is confirmed by statistical data, according to which workers in the oil and gas industry are 8 times more likely to get injured. The article analyzes the specific features of the professional activity of the workers employed on offshore oil platforms and shows that the deterioration of their health and psychological condition due to the long-term “sea environment” is unavoidable. It offers to develop an intelligent system for monitoring the psychophysiological condition of workers employed on offshore oil platforms and to assess its suitability for their position with the reference to the Cattell test and fuzzy patterns recognition. The development and systematic operation of such a system may timely detect undesirable consequences for the health status of workers employed on offshore oil platforms and prevent wrong decisions due to the “human factor
The effect of the filling degree of the tumbling mill chamber on the bifurcation value of the froude number
Get PDFThe influence of the filling degree of the drum chamber on the bifurcation value of the Froude number in the case of self-excitation of self-oscillations of a two-fraction granular charge with a minimum swing is considered. Such a pulsating mode of the charge movement is used in the self-oscillating grinding process in a tumbling mill. The coarse fraction that simulated the milling bodies consisted of spherical particles of an incoherent granular material with a relative size in the chamber ψb=0.00733. The fine fraction, simulating the material to be ground, was cement with a relative particle size ψm≈0.092∙10-3. The value of the adopted analogue of the kinematic viscosity of the two-fraction granular loading approached the value of 10-3 m2/s. The main variable factor in experimental studies was the filling degree of the drum chamber with loading at rest κb=0.25, 0.35, and 0.45. An additional factor was the degree of filling the gaps between the spherical particles of the coarse fraction with particles of the fine fraction κb=0, 0.25, 0.5, and 1. The method of visual analysis through the transparent end wall of the chamber of transient processes of the loading behavior with a smooth change and fixation of the velocity was applied. The bifurcation minimum value of the rotation speed was recorded, at which the steady-state circulation mode of the load movement turns into a transient pulsation one with a minimum swing. A decrease in the bifurcation values of the Froude number Frb on the cylindrical surface of the chamber with an increase in κb has been established. An increase in the intensity of the decrease in Frb with an increase in κm was revealed. The recorded effect is due to an increase in the connected properties of a two-fraction loading during self-excitation of self-excited oscillations with an increase in κb and κm. The numerical values of the boundaries of the range of bifurcation values of the Froude number for a tumbling mill Frb=0.0484–1.17 have been determined. The obtained Frb range corresponds to the Reynolds value in the range Re=40–197. The maximum Frb value is obtained with coarse grinding. An increase in the likelihood of self-excitation of self-oscillations of the intra-chamber loading with a decrease in the fineness of grinding was reveale
Researching a machine learning algorithm for a face recognition system
Get PDFThis article investigated the problem of using machine learning algorithms to recognize and identify a user in a video sequence.
The scientific novelty lies in the proposed improved Viola-Jones method, which will allow more efficient and faster recognition of a person's face.
The practical value of the results obtained in the work is determined by the possibility of using the proposed method to create systems for human face recognition.
A review of existing methods of face recognition, their main characteristics, architecture and features was carried out. Based on the study of methods and algorithms for finding faces in images, the Viola-Jones method, wavelet transform and the method of principal components were chosen. These methods are among the best in terms of the ratio of recognition efficiency and work speed. Possible modifications of the Viola-Jones method are presented.
The main contribution presented in this article is an experimental study of the impact of various types of noise and the improvement of company security through the development of a computer system for recognizing and identifying users in a video sequence.
During the study, the following tasks were solved:
– a model of face recognition is proposed, that is, the system automatically detects a person's face in the image (scanned photos or video materials);
– an algorithm for analyzing a face is proposed, that is, a representation of a person's face in the form of 68 modal points;
– an algorithm for creating a digital fingerprint of a face, which converts the results of facial analysis into a digital code;
– development of a match search module, that is, the module compares the faceprint with the database until a match is foun
Research on advanced technologies – design and development of cloud computing model
Get PDFThis article is a bibliographic review and focuses on a brief introduction to Cloud Computing as an innovative educational tool. Cloud technology is rapidly spreading in educational institutions, sometimes replacing the in-house infrastructure with cloud services. Education plays an important role in a country’s economy and today, the educational model in many countries has evolved with technology. Schools and universities in the world extensively use cloud Based Technology. Digital teaching – E-Learning and cloud-based technology are the latest models that have been widely adopted in the educational field. The identified trends in the use of cloud computing in education are clear, ranging from the design of cloud-oriented learning environments for future information technology specialists to the training of information technology specialists to enable them to obtain competencies in the use of cloud technologies. Cloud computing is a distributed computing paradigm, where, instead of acquiring information technology products, users access shared resources under various service models through a network, usually the Internet. The application of cloud computing is very broad and growing daily because of many advantages to the users, and is driven by the increasing use of various mobile devices (laptops, tablets and smartphones) and mobile Internet access being more available. The perspectives of its integration in the learning process are highlighted, as well as the factors that make its implementation difficult. Finally, some general conclusions presented on how technologies should be adopted to meet the educational needs of this new global challenge and some suggestions are made for more effective training through the Cloud Computing, as the need for further research emerge
Analysis of environmental hazards in the system «children's playground – urbanized area»
Get PDFThe article presents the results of the study of environmental pollution by methods of biological indication. The objects of research are children's playgrounds which are influenced by the negative anthropogenic factors. A child's body is more vulnerable to anthropogenic stresses. Car exhaust gases can have a negative impact on the respiratory, cardiovascular, nervous and other systems. Excessive noise pollution not only affects your hearing, but also other organs and systems. In addition, noise can increase stress hormone levels. The aim of the study is to identify the main adverse factors affecting playgrounds in large cities. Despite there are the sanitary standards for the placement of playgrounds in large cities, it was found that about 50 % of all playgrounds were located in violation of environmental safety standards. As part of the work, an inventory of children's playgrounds and sports grounds in the cities of Kyiv, Kharkiv and Dnipro was carried out. The author carried out experimental research on some playgrounds using biological indication methods. The method of lichen indication revealed that four out of ten playgrounds in Kharkiv have a high level of air pollution, and two out of ten in Kyiv and Dnipro. This is confirmed by the biotesting method. It was found that one of the methods of solving the problem of excessive anthropogenic load on the objects of study is planting greenery. It is experimentally established that green plantations are able to reduce the level of noise pollution by 4–6 dB and absorb pollutants. In addition to reducing the anthropogenic load, the greening of playgrounds has an impact on improving the microclimate of the urban environment, and developing the visual qualities of urbanised landscape
STUDY OF POSSIBILITIES OF JOINT APPLICATION OF PARETO ANALYSIS AND RISK ANALYSIS DURING CORRECTIVE ACTIONS
Get PDFContinuous improvement in the quality management system is based on corrective action. Corrective actions require the identification of priority defects that require priority elimination of the causes of occurrence. The traditional method of prioritization can be considered a Pareto chart, built by the number of identified inconsistencies. This technique makes it possible to prioritize the most frequently detected defects. However, defects that are rare can significantly outweigh those that are often encountered in their consequences. The defect risk is a complex indicator that simultaneously takes into account both the number of detected defects and their impact.
Failure Mode and Effects Analysis (FMEA) can be used to quantify risk. This technique allows to determine the risk priority number (RPN), taking into account the number of detected defects (O), the consequences of the appearance of a defect (S) and the possibility of timely detection of a defect or cause before the onset of undesirable consequences (D). The priority number of risks numerically characterizes the risks of a defect and can be used as a criterion for determining priority defects. Based on the values of the priority number of risks, a Pareto chart can be built and defects that form 80% of the risk area can be identified. These defects require urgent corrective action.
According to the data taken from production, it is shown that the Pareto analysis by the priority number of risks gives results that differ from the analysis by the number of identified inconsistencies. Application of the proposed approach will allow introducing risk-oriented methods into the procedures for carrying out corrective actions. This will make it possible to direct the resources of the enterprise to eliminate the causes of defects that are actually detected and can have the most significant consequences for consumers of product
ESTABLISHING THE ROTATION SPEED VARIATION RANGE LIMITS FOR AUTO-EXCITATION OF SELF-OSCILLATING GRINDING IN A TUMBLING MILL
Get PDFThe influence of the structure of a two-fraction polygranular feed of the chamber on the value of the drum rotation speed at auto-excitation of self-excited oscillations with a maximum swing is considered. Such a pulsating mode of movement of the charge is used in the self-oscillating process of grinding in a tumbling mill. The coarse fraction simulated the grinding bodies was steel bullets with a relative size ψdb=0.026. The fine fraction, simulated the particles of the crushed material, was a cement clinker with a relative particle size ψdm=0.00013. Variable factors of experimental studies were: the degree of filling the chamber in the state of rest κbr=0.25; 0.29; 0.33 and the degree of filling the gaps between the particles of the coarse fraction with particles of the fine fraction κmbgr=0.0625; 0.375; 0.6875; 1. The method of visual analysis of transient processes of self-oscillating modes of feed behavior in the cross section of the rotating drum chamber is applied. Measurements of the speed limits of the drum rotation were carried out with auto-excitation of self-oscillations of the filling. The magnitude of the self-oscillation swing was estimated by the increase in the difference between the maximum and minimum values of the filling dilatancy for one period of pulsations. An increase in the upper limit of the speed range ψω2 with a decrease in κbr and κmbgr was established. The growth rate of ψω2 increases at low values of κbr and κmbgr. Some increase in the lower limit of the ψω1 range with a decrease in κbr and κmbgr was revealed. An increase in the range of speeds of rotation was recorded at the maximum range of self-oscillations ψω1–ψω2 with a decrease in the connected interaction of the intra-mill filling. This coherent interaction is due to an increase in κbr and κmbgr. The value of the ψω1–ψω2 range varies from 1.01–1.03 at κbr=0.33 and κmbg=1 to 1.22–1.66 at κbr=0.25 and κmbgr=0.0625. The range gets its maximum value with fine and superfine grindin
INVESTIGATION OF THE INFLUENCE OF STABILIZERS ON THE VISCOSITY OF THE RECOVERED MIXTURE OF A HYPERTONIC DRINK FOR ATHLETES
Get PDFWhen introducing plant and animal protein products, in addition to nutritional value, it is advisable to assess their physicochemical properties and technological indicators, in particular, homogeneity and consistency stability. The aim of research is to determine the effect of consistency stabilizers on the viscosity of a reconstituted hypertonic drink for athletes based on flaxseed cake, sesame seeds and whey protein concentrate.
The mass fraction of protein in the model dry mixture of a hypertonic drink, as well as in its individual components by the Kjeldahl method, the mass fraction of fiber – by the gravimetric method, the mass fraction of lipids – by the extraction-gravimetric method, the mass fraction of moisture – by the thermogravimetric method. The mass fraction of ash in the mixtures was carried out by the method of incineration followed by calcining the mineral residue at a temperature of 450 ... 600 °C. The effective viscosity in the reduced samples of mixtures without and with the addition of stabilizers was determined on a rotational viscometer "Rheotest 2". For the planning of the experiment and data processing, mathematical methods were applied using the Microsoft Office Excel 2003 software package.
The chemical composition of individual components and a model dry mixture of a hypertonic drink for the nutrition of athletes, including the content of compounds that have a stabilizing effect on the restored product, has been investigated. It has been proved that the effective viscosity of the reconstructed model mixture in comparison with the effective viscosity of the individual components of the mixture nonaditively increases. The mutual influence of the consistency stabilizers (gum arabic (E 414) and carboxymethylcellulose (E 466)) on the value of the effective viscosity of the reconstituted hypertonic drink was investigated. The developed model mixture of a hypertonic drink is recommended to be used for the development of competitive dry mixtures of hypertonic drinks of plant and animal origin for the nutrition of athlete