Special Issue No. – 10, June, 2020

Abstract:

This paper considers improving the surface grinding of parts with different stiffness from the titanium alloy VT22 given the process stability based on the multi-criteria optimization according to the performance criteria. The part surface quality includes roughness, flatness deviations, microhardness, relative supporting portion of surface and standard deviation. The variation ranges of the process parameters are as follows: wheel speed v_wh = 28m/min, longitudinal feed s_long = 5 – 18 m/min, transverse feed s_tr = 2 – 10 mm/ double stroke, depth of cut t = 0.005 – 0.02 mm, operational allowance z = 0.1 – 0.3 mm. It has been established that the optimal grinding conditions of completely rigid parts given the stability of the process, have not only reduced the standard deviation of the basic parameters by 1.7 times as compared with optimization without taking them into account, but also the basic time of transition by 1.6 times as compared with the recommended standards of grinding. When optimizing the pliable parts grinding (with stiffness j = 350 – 11,220 N/mm), the reduction of high-rise indicators of their surface roughness by 1 – 2 categorical magnitudes, the standard deviation by 2 times, the basicmachining time by 1.2 times for the rough stage, and by 1.2 – 3.3 times for the finishing stage compared to the grinding of the completely rigid parts has been noted. The non-rigid parts of titanium alloys should be ground in the longitudinal direction of its variation (by vector s_long). It has been determined that the optimum grinding condition of non-rigid parts allows reducing the main operation time by 4.9 times compared to the standard specifications for completely rigid parts, mainly by increasing t and reducing z. The results obtained should be used in the robust design of grinding operations.

Keywords:

Grinding,optimization, process stability,non-rigid parts,titanium alloy,surface topography,

Refference:

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II. Binu Thomas, Eby David, Manu R. Modeling and optimization of surface roughness in surface grinding of SiC advanced ceramic material // All India manufacturing technology, design and research conference. 2014: 1(311)–7(311).

III. Brinksmeier E., Aurich J.C., Govekar E. et al. Advances in modeling and simulation of grinding processes // CIRP Annals-Manufacturing Technology. 2006; 2 (55): 667–696.

IV. Campa F.J., De Lacalle L.L., Urbikain G. et al. Definition of cutting conditions for thin-to-thin milling of aerospace low rigidity parts. In: Proceedings of the ASME International Manufacturing Science and Engineering Conference, MSEC. 2008: 359-368.

V. Chaplygin B.A., Butorin G.I. A new generation of the standardized rules of the cutting modes performed on grinding and finishing machines//Bullitin of Nosov Magnitogorsk State Technical University. 2012; 1: 61–66.

VI. Cutting conditions for works performed on grinding and finishing machines with manual control and semi-automat: Reference book / Under the editorship of D.V. Ardashev, D.E. Anelchik, G.I. Butorin and others. Chelyabinsk: Publishing house ATOKSO, 2007.

VII. GOST 25142-82. Surface roughness. Terms and definitions. Entered 83-01-01. Moscow: Publishing house, 1982.

VIII. GOST 24642-81. Tolerances of form and position. Main terms and definitions. Replaced GOST of 10356-63 (in part of section I and II). Entered 01-07-81. Moscow: Standards Publishing House,1981.

IX. GOST 24643-81. Tolerances of form and position. Numeric values. Replaced GOST of 10356-63 (in part of section 3). Entered 01-07-81. Moscow: Standards Publishing House, 1981.

X. GOST 2789-73. Surface roughness. Parameters, characteristics, and designa-tions. Entered 01–11–1975. Replaced GOST of 2789-1959. Moscow: Standards Publishing House, 1973.

XI. Isakov D.V. Testing procedure of grinding wheels for obtaining data to design grinding operations//Materials cutting technology. 2010; 3 (57): 2–11.

XII. Khavina I.P., Limarenko V.V. Optimization of machining processes using neural networks//Systems of information processing. 2015; 10: 258–260.

XIII. Liao T.W., Chen L.J. A neural network approach for grinding processes: Modeling and optimization. Int J Mach Tools Manuf. 1994; 7(34): 919–937.

XIV. Machine-building time standards for operations carried out on grinding and finishing machines using the computer-aided technical rate setting//Large-batch and medium-batch production: In P. 3 Moscow: Publishing House CBPNT of the Institute of Labour. P. 1: Instructions for operation, 1985.

XV. Myers R.H., Montgomery D.C., Anderson-Cook C.M. Response Surface Methodology: Process and Product Optimization using Designed Experiments. John Wiley & Sons. New Jersey, 2009.

XVI. Nosenko V.A., Nosenko S.V. Technology of Metal Grinding: Monograph. StaryOskol: TNT, 2013.

XVII. Raju N.V.S. Optimization Methods for Engineers, 2014.

XVIII. Ratchev S., Liu S., Becker A.A. Error Compensation Strategy in Milling Flexible Thin-Wall parts. Journal of Materials Processing Technology. 2005; 162 – 163: 673-681.

XIX. Sathyanarayanan G., Lin I.J., Chen M.K. Neural network modeling and multiobjective optimization of creep feed grinding of superalloys // Int J Prod Res. 1992; №10 (30): 2421-2438.

XX. Soler Y.I., Nguyen V.L., Mai D.S. Influence of rigidity of the hardened parts on form the shape accuracy during flat grinding. In: MATEC Web of Conferences. EDP Sciences, 2017.

XXI. Soler Y. I., Mai D.S., Kazimirov D.Y. Technological opportunities for increasing a bearing surface of flat parts made from VT22 alloy during pendulum grinding // ARPN Journal of engineering and applied sciences. 2016; 17 (11):10190-10200.

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Abstract:

Researchers interest to the problem of extra genital diseases in mothers has increased during the past years. Obesity rate worldwide achieved the level of one of the most significant problems in XXI century. The Purpose of the Study: Evaluation of placental insufficiency syndrome risk development in pregnant women with obesity. Materials and Methods: Prospective controlled study enrolled 494 patients. The 1^st group included 262 patients with obesity (mean body weight index 33.1 (31.4; 35.9) kg/m²), aged 30 (27; 34) years old. The 2^nd group (control) included 232 patients with normal body weight (mean body weight index 22.6 (21.0; 23.8) kg/m²) aged (25; 31.5) years old. The authors evaluated anthropometric data, conducted coagulotests, assessed lipid and carbohydrate metabolism, performed fetometry and Dopplerometry. All the patients had their level of human placenta growth factor identified (PlGF, pg/ml) in blood serum. Morphological study of secundines was conducted. Results. It was defined that pregnant women with obesity had low level of P1GF in comparison with the women in the control group (р<0.01). Critical level of PlGF in prognosis of placental insufficiency development is considered to be lower than 100 pg/ml. Morphological study of secundines from delivered women with obesity showed significantly higher rate of placenta maturation disorders at low level of  P1GF. Conclusion: In pregnant women with obesity the level of P1GF on the 8-9^th week of gestation was lower in comparison with the control group. The level of PlGF lower than 100 pg/ml at obesity in mother is considered as a marker of placental insufficiency development risk, which is confirmed by the morphological study of secundines.

Keywords:

Obesity, placental growth factor, placental insufficiency, lipid metabolism,

Refference:

I. Aviram A., Guy L., Ashwal E., Hiersch L., Yogev Y., Hadar E. Pregnancy outcome in pregnancies complicated with gestational diabetes mellitus and late preterm birth. Diabetes Res ClinPract. 2016; 113: 198-203

II. Banoo E, Sharifi F, Badamchizadeh Z, Hossein-Nezhad A, Larijani B, Mirarefin M, Fakhrzadeh H. Association of metabolic syndrome with inflammatory mediators in women with previous gestational diabetes mellitus. J Diabetes MetabDisord. 2013; 12: 8.

III. Bhorat I.E., BagrateeJ.S.,Pillay M., Reddy T. Use of the myocardial performance index as a prognostic indicator of adverse fetal outcome in poorly controlled gestational diabetic pregnancies. Prenataldiagnosis. 2014; 34: 13: 1301-1306.

IV. Black M.N., Sacks D.A., Xiang A.H., Lawrence J.M. The relative contribution of prepregnancy overweight and obesity, gestational weight gain and IADPSG-defined gestational diabetes mellitus to fetal overgrowth. DiabetesCare. 2013; 36(1); 56-62.

V. Cnattingius S.L., Villamor E., Johansson S., EdstedtBonamyA.K., Persson M., Wikstrom AK., Granath F. Maternal obesity and risk of preterm delivery. JAMA. 2013; 309: 2362-2370.

VI. CrujeirasA.B., CasanuevaF.F. Obesity and the reproductive system disorders: epigenetics as a potential bridge. Hum. Reporod. Update. 2014; 34(5): 123-36.

VII. Department of Reproductive Health, World Health Organization. Medical eligibility for contraceptive use. 5th ed. Geneva: WorldHealthOrganization; 2015. PMID: 26447268.

VIII. Fenton T.R., Kim J.H. A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants. BMCpediatrics. 2013; 13: 59.

IX. Hayes JF, Bhaskaran K, Batterham R, Smeeth L, Douglas I. The effect of sibutramine prescribing in routine clinical practice on cardiovascular outcomes Int J Obes. JournalofObesity (2005). 2015; 39(9): 1359-1364. doi:10.1038/ijo.2015.86.

X. Horvath B. Metabolic syndrome in normal and complicated pregnancies. Metab. Syndr. Relat. Disord. 2013: 11(3): 185–8

XI. JungheimES, TraviesoJL, Carson KR, MoleyKH. Obesity and Reproductive Function. Obstetrics and Gynecology Clinics of North America. 2012;39(4):479–493. doi: 10.1016/j.ogc.2012.09.002

XII. LegroR.S.,Arslanian S.A., Ehrmann D.A., HoegerK.M., Murad M.H., Pasquali R et al. Diagnosis and treatment of polycystic ovary syndrome: an Endocrine Society clinical practice guideline. J. Clin. Endocrinol. Metab. 2013; 98(12): 4565-92.

XIII. Li N., Liu E., Guo J., Pan L., Li B., Wang P. et al. Maternal prepregnancy body mass index and gestational weight gain on pregnancy outcomes. PLOSOne. 2013; 8(12): e82310.

XIV. Lui L., Oza S., Hogan D., Perin J., Rudan I., Lawn J.E., Cousens S., Mathers C., Black R.E. Global, Regional, and National Causes of Child Mortality in 2000-2013, with Projections to Inform Post-2015 Priorities: An Updated Systematic Analysis. TheLancet. 2015; 385:9966:430-440

XV. Lumeng CN, Saltiel AR. Inflammatory links between obesity and metabolic disease. J ClinInvest. 2011; 121(6): 2111–2117.

XVI. Macdonald-Wallis C., Tilling K, Fraser A., Nelson S.M., Lawlor D.A. Associations of blood pressure change in pregnancy with fetal growth and gestational age at delivery findings from a prospective cohort. Hypertension. 2014; 64: 1: 36-44.

XVII. Meenakshi, Srivastava R, Sharma NR, KushwahaKP, Aditya V. Obstetric Behavior and Pregnancy Outcome in Overweight and Obese Women. TheJournalofObstetricsandGynecologyofIndia. 2012; 62(3): 276-280.

XVIII. Niu JM, Lei Q, LüLJ, Wen JY, Lin XH, DuanDM, Chen X, Zhou YH, Mai CY, Liu GC, Hou MM, Zhao LN, Yi J. Evaluation of the diagnostic criteria of gestational metabolic syndrome and analysis of the risk factors. ZhonghuaFuChanKeZaZhi. 2013 Feb; 48(2): 92-7.

XIX. Park S., Kim M.N., Kim S.N. Early gestational weight gains within current recommendations result in increased risk of gestational diabetes mellitus among Korean women. DiabetesMetab. Res. Rev. 2014; 30(8): 716-25.

XX. Radulescu L., Munteanu O., Popa F., Cirstoiu M. The implications and consequences of maternal obesity on fetal intrauterine growth restriction. J MedLife. 2013; 6: 3: 292-298.

XXI. Scott-Pillai R., Spence D., Cardwell C., Hunter A., Holmes V. The impact of body mass index on maternal and neonatal outcomes: a retrospective study in a UK obstetric population, 2004-2011. BJOG. 2013; 120: 8: 932-939.

XXII. Sommer C., Morkrid K., JenumA.K., Sletner L., Mosdol A., BirkelandK.L. Weight gain, total fat gain and regional fat gain during pregnancy and the association with gestational diabetes: a population-based cohort study. Int. J. Obes. 2014; 38(1): 76-81.

XXIII. Spradley F.T., PaleiA.C., Granger J.P. Increased risk for the development of preeclampsia in obese pregnancies: weighing in on the mechanisms. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2015: 309(11): R 1326-43

XXIV. Stekkinger E, Scholten R, van der Vlugt MJ, van Dijk AP, Janssen MC, Spaanderman ME. Metabolic syndrome and the risk for recurrent pre-eclampsia: a retrospective cohort study. BJOG. 2013 Jul; 120(8): 979-86.

XXV. Tutino G.E., Tam W.H., Yang X., Chan J.C.N., Lao T.T.H. and Ma R.C.W. Diabetes and pregnancy: perspectives from Asia. DiabeticMedicine. 2014; 31: 3: 302-318.

XXVI. Wang D., Hong Y., Zhu L. et al. Risk factor and outcomes of macrosomia in China: A multicentric survey based on birth data // J. Matern. Fetal. Naonatal. Med. 2016: 1-5.

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Abstract:

Determination of the concentration of chemical elements in the switch hair of   cattle in the ‘dam-newborn calf’ pairs is a non-invasive method to determine the bioelemental status of calves formed within the last three month of embryofetal development and its effect by the maternal bioelemental status. The study purpose is to examine the correlation between the bioelemental status of clinically healthy cows and their calves. 35 clinically healthy red-and-white cows and their offspring were the objects. In 2015 switch hair samples were obtained from 35 clinically healthy red-and-white cows and their calves located at a large cow unit soon after calving and the concentration of 12 chemical elements (iron, zinc, copper, manganese, molybdenum, cobalt, chromium, selenium, nickel, arsenic, strontium and cadmium) were determined by the atomic absorption spectroscopy (Shimadzu AA6300, Japan). The analytic expressions describing the dependencies of the accumulation of chemical elements in the embryo’s switch hair on the maternal bioelemental status of the dam were obtained. Statistically significant dependencies with the level of α = 0.05 were found for selenium, copper, cadmium and cobalt. The current level of α significance for zinc, iron, strontium, chromium, nickel, arsenic and manganese was 0.10...0.15. No statistically significant dependence was found between the concentration of molybdenum in the switch hair of newborn calves and their dams. The lack of СТ-Мо(СК-Мо) dependence shows that the level of molybdenum accumulated in a calf’s body within the last three months of embryofetal development almost does not depend on the elemental status of its dam (the last one was judged on the basis of molybdenum concentration in hair samples taken from the cows). The following concentration intervals were set for the examined elements in the switch hair of cows that ensure the optimal level of their accumulation in calves: from 97 to 117 mg/kg for zinc, from 5.2 to 9.3 mg/kg for copper, from 11.8 to 13.7 mg/kg for manganese, from 40 to 155 µg /kg for cobalt, from 8.5 to 11.5 µg /kg for chromium, from 230 to 370 µg /kg for selenium, from 0.2 to 0.4 mg/kg for nickel, from 80 to 170 µg /kg for arsenic, from 6.0 to 8.6 mg/kg, from 0.10 to 0.62 mg/kg for cadmium. The study results are of practical values for those specializing in veterinary and animal science as they enable to prognosticate the disturbances of bioelemental nutrition of cow’s fetus and provide for their timely correction

Keywords:

Cattle,hair analysis,atomic absorption spectroscopy,microelements,dam-newborn calf pairs,

Refference:

I. Alekhin Y. N., Prigorodova O. V. Effect of the disturbances in the feeding of cows on the embryofetal development. Journal of veterinary medicine, 2014, 13(108): 21-24.

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III. Cygan-Szczegielniak D., Stanek M., Giernatowska E., Janicki B. Impact of breeding region and season on the content of some trace elements and heavy metals in the hair of cows. FoliaBiologica (Kraków), 2014, 62(3): 163-169. (doi: 10.3409/fb62_3.163).
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V. Ditoro R., Gialanella G., Caroli M., Moro R., Perrone L. Trace-metals in the hair of mother-neonate pairs. Trace Elements and Electrolytes, 1994, 11(4): 169-171.

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VII. Dubrova T. A. Statistical methods of prognosis. M: UNITY-DANA, 2003.

VIII. Enukashvili A.I. Mineral composition of cattle hair due to their age, sex, season and physiological condition. Ph. D. thesis, Saint-Petersburg, 1992.

IX. Galin H.H. Physiological and biochemical indices of the mineral exchange in cattle located

X. Gabryszuk M., Słoniewski K., Metera E., Sakowski T. Content of mineral elements in milk and hair of cows from organic farms. J. Elementol., 2010, 15(2): 259-267.

XI. Gabryszuk M., Słoniewski K., Sakowski T. Macro- and microelements in milk and hair of cows from conventional vs. organic farms. Animal Science Papers and Reports, 2008, 26(3): 199-209.

XII. Lebedev N. I. Scientific usage of complex vitamins and minerals in the feeding of ruminants in the Nonchernozem belt of Russia. Hab. Thesis, Tver, 1995.

XIII. Miekeley N., Carneiro M.T., da Silveira C. L. How reliable are human hair reference intervals for trace elements? Science of the total environment, 1998, 218(1): 9-17. (doi: 10.1016/S0048-9697(98)00185-5).

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XVI. Shmoilova R.A. Theory of statistics. 4th edition. M.: Finance and statistics, 2004.

XVII. Trukhacheva N. V. Mathematical statistics in medical and biological studies using the package of Statistica. M: GEOTAR MEDIA, 2013.

XVIII. Zamana S.P. Determination of the chemical elemental composition of hair in cattle. Agricultural biology, 2006, 4: 121-125.

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Abstract:

The modern organisation of infrastructural facilities and industrial complexes shall be environmentally safe and economically effective.  The article poses the problem of creation of a system for the efficient use of and control over the state of water storage basins using geotechnology and Earth remote sensing systems.  The Novosibirsk Water Storage Basing, Novosibirsk, Russia is taken as an example.  Over the explored area of the water basing, the environmental situation is worsening as a result of the progressing wind and wave erosion of the coast line and intensive washout of soil, plants, trees, chemical fertilisers etc.  The article reasonably introduces the concept of technogenic natural territorial complexes (TNTC).  By Earth remote sensing, the speed of soil erosion along the whole coast line of the basin is determined.  Soil exploration and typing provided materials for a forecast model of wearing away of the coast line. The plots for geodynamic monitoring and data acquisition periods are defined.  The need for bank-protection works and a wider recreational use of the basing water is stated.

Keywords:

Satellite monitoring,technogenic natural territorial complexes,land resources,unmanned aerial vehicles,digital economy,water bodies,

Refference:

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II. Becirspahic, L., Web Portals for Visualizing and Searching Spatial Data [Text] / L. Becirspahic, A. Karabegovic // Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015. 38th International Convention on. Opatija. 2015. – Pp. 305–311.

III. Beyrom, S.G., Changing Natural Conditions in the Mid-Ob Region After Creation of the Novosibirsk Hydroelectric Power Station [Izmeneniyeprirodnykhusloviy v sredney Obi poslesozdaniyaNovosibirskoy GES] [Tekst] / S.G. Beyrom, N.V. Vostryakova. – Novosibirsk: Nauka, Sib. Otdeleniye, 1973. – 250 s.

IV. Beyrom, S.G., Formation of Coastal Zone of the Novosibirsk Water Storage Basin [FormirovaniyeberegovoyzonyNovosibirskogovodokhranilishcha] [Tekst] / S.G. Beyrom, V.M. Shirokov // Novosibirsk: Nauka, 1968. – 195 s.

V. Blower, J.D., A Web Map Service Implementation for the Visualization of Multidimensional Gridded Environmental Data [Text] / J. D .Blower, A.L. Gemmell, G.H. Griffiths, K. Haines, A. Santokhee, X. Yang // Environmental Modelling& Software. Volume 47. September 2013. – Pp. 218–224.

VI. Comprehensive Studies of the Novosibirsk Water Storage Basin [KompleksnyyeissledovaniyaNovosibirskogovodokhranilishcha] [Tekst] / Tr. SanSibRNIGMI, vyp. 70. – M.: Gidrometeoizdat, 1985.

VII. Doncheva, A.V., Environmental Design and Audit: Practical Aspects [Ekologicheskoyeproyektirovaniye i ekspertiza: Praktika] Uchebnoyeposobiye [Tekst] / A. V. Doncheva. – M.: Aspekt Press, 2002. – 286 s.

VIII. Dubrovskiy, A.V., Comprehensive Technology of Geoinformational Exploration of Technogenic Natural Territorial Entities [Kompleksnayatekhnologiyageoinformatsionnogoissledovaniyatekhnogennykhprirodno-territorialnykhobrazovaniy] [Tekst] / A.V. Dubrovskiy // GEO-Sibir-2008. T. 2. EkonomicheskoyerazvitiyeSibiri i DalnegoVostoka. Ekonomikaprirodopolzovaniya, zemleustroystvo, lesoustroystvo, upravleniyenedvizhimostyu. CH. 1: sb. mater. IV Mezhdunar. nauchn. kongressa «GEO-Sibir-2008», 22–24 aprelya 2008 g., Novosibirsk. – Novosibirsk: SGGA, 2008. – S. 67–69.

IX. Dubrovskiy, A.V., Features of the Rormation of Three dimensional Models of a Landscape for Interfarm Land Management [Text] / A.V. Dubrovskiy, D.A. Naumov // Materials of International Conference, Novosibirsk, October 22–23, 2003. Part 2. – Novosibirsk, 2003. – P. 438–439.

X. Dubrovskiy, A.V., Geoimformation space research of the city for the prevention of the peoples life threats [Text] / A. Dubrovskiy // Early warning and crises/disaster and emergency management. – Novosibirsk: SSGA, 2010 – C. 118 –124.

XI. Dubrovskiy, A., Elements of Geoinformation Support of Natural Resource Management System [Text] / Alexey V. Dubrovsky, Ivan T. Antipov, Anatoly I. Kalenitsky and Alexander P. Guk // International Journal of Advanced Biotechnology and Research (IJBR), Vol-9, Issue-1, 2018, pp. 1185-1202.

XII. Dubrovskiy, A.V., Geoinformation Systems. Earth Remote Sensing [Geoinformatsionnyyesistemy. DistantsionnoyezondirovaniyeZemli] [Tekst] :ucheb. – metod. Posobiye / A.V. Dubrovskiy, V.N. Nikitin, Ye.S. Trotsenko, N.V. Fadeyenko. – Novosibirsk : SGGA, 2014 – 90 s.

XIII. Dubrovskiy, A.V., On the Necessity to Create a Land Monitoring System within the Limits of Ob Water Storage Basin by Means of Geoinformation Technologies [O neobkhodimostisozdaniyasistemymonitoringazemelnykhresursov v predelakhterritoriiObskogovodokhranilishchasredstvamigeoinformatsionnykhtekhnologiy] [Tekst] / A.V. Dubrovskiy, N.V. Fadeyenko // Materialy 4-y mezhdunar. nauchno-prakt. konf. «AGROINFO-2009», CH. 2. – Novosibirsk, 2009,– S. 100–104.

XIV. Fadeyenko, N.V., Application of Matrix Method of Coast Zone Anaysis to the Development of Recreational Industry and Tourism [PrimeneniyematrichnogometodaanalizapribrezhnoyterritoriiNovosibirskogovodokhranilishchadlyarazvitiyarekreatsii i turizma] [Tekst] / N.V. Fadeyenko // GEO-Sibir-2010. T. 3. EkonomicheskoyerazvitiyeSibiri i DalnegoVostoka. Ekonomikaprirodopolzovaniya, zemleustroystvo, lesoustroystvo, upravleniyenedvizhimostyu. CH. 2: sb. mater. VI Mezhdunar. nauchn. kongressa «GEO-Sibir-2010», 19–29 aprelya 2010 g., Novosibirsk. – Novosibirsk: SGGA, 2010. – S. 112 –118.

XV. Farutin, I.N. Technological Solutions of Skaneks Company for Satellite Data Reception and Processing [TekhnologicheskiyeresheniyakompaniiSkaneksdlyapriyema i obrabotkisputnikovoyinformatsii] [Tekst] / I. N. Farutin, D. I. Fedotkin // Sbornikstateypomaterialammezhdunarodnogonauchnogokongressa «Interekspo Geo-Sibir», 2011. – Novosibirsk: SGGA, 2011. – S. 167–169.

XVI. Geodesy and Cartography Industry Development Roadmap [Kontseptsiyarazvitiyaotrasli «Geodeziya i kartografiya» do 2020 g.: utverzhdenaRasporyazheniyemPravitelstvaRossiyskoyFederatsiiot 17 dekabrya 2010 g. № 2378-r] [Elektronnyyresurs] – Rezhimdostupa: http://www/rg.ru/2011/01/11/geodeziya-site-dok.html.

XVII. Gorbunov, A.V., State and Prospects of Space Complexes Canopus V and Meteor M [Sostoyaniye i perspektivyrazvitiyakosmicheskikhkompleksov «Kanopus-V» i «Meteor-M»] [Tekst] / A. V. Gorbunov, I.Yu. Ilina, V.K. Saulskiy // Raketno-kosmicheskoyepriborostroyeniye i informatsionnyyesistemy, Tom 2, № 4, 2015 . M.: OAO RKRKPiIS, 2015. S. 14 – 19.

XVIII. Govorushko, S.M., Influence of Economic Activities on the Environment [Vliyaniyekhozyaystvennoydeyatelnostinaokruzhayushchuyusredu] [Tekst] / S.M. Govorushko. – Vladivostok: Dalnauka, 1999. – S. 85 – 90.

XIX. Govorushko, S.M., Influence of Economic Activities on the Environment [Vliyaniyekhozyaystvennoydeyatelnostinaokruzhayushchuyusredu] [Tekst] / S.M. Govorushko. – Vladivostok: Dalnauka, 1999. – S. 85 – 90.

XX. Inozemtsev, D.P., Automated Aerial Photography with the Help of Software and Hardware Complex GeoScan-PhotoScan [Avtomatizirovannayaaerofotosyomka s pomoshchyuprogrammno-apparatnogokompleksa «GeoScan-PhotoScan»] [Tekst] / D.P. Inozemtsev // SAPR i GIS avtomobilnykhdorog, №1 (2), 2014. – M.: OOO «IndorSoft». – S. 46 – 51.

XXI. Karpik, A.P., Geospatial Discourse in the System of Proactive Scientific Thinking [Geoprostranstvennyydiskurs v sistemeoperezhayushchegonauchnogomyshleniya [Tekst] / A.P. Karpik, D.V. Lisitskiy, K.S. Baykov, A.G. Ossipov, V.N. Savinykh // VestnikSGUGiT (Sibirskogogosudarstvennogouniversitetageosistem i tekhnologiy). – 2017. – T. 22. – №. 4. – C. 53 – 67.

XXII. Karpik, A.P., Methodological and Technological Foundations of Geoinformational Support of Territories [Metodologicheskiye i technologic heskiyeosnovygeoinformatsionnogoobespecheniyaterritoriy] [Tekst] / A.P. Karpik. – Novosibirsk: SGGA, 2004. – 250 s.

XXIII. Lisitsky, D., Digital Economy and Geoinformation Technologies [Text] / D. Lisitsky, K. Baykov, A. Osipov, A. Grishanova, V. Savinykh. – International Conference «Actual Issues of Mechanical Engineering», 2017, (AIME 2017). DOI:10.2991/aime – 17.2017.120.

XXIV. Lucas, G., Development and Testing of Geo-processing Models for the Automatic Generation of Remediation Plan and Navigation Data to Use in Industrial Disaster Remediation [Electronic resource] / G. Lucas, Cs. Lenart, J. Solymosi // Open Geospatial Data, Software and Standards, 2016, № 1:5, Published: 10 May 2016, [https://opengeospatialdata.springeropen.com/articles /10.1186/s40965-016-0006-z].

XXV. Nazarov, A.,S., Photogrammetry [Fotogrammetriya] [Tekst] / Uch. posobiyedlyastudentovvuzov. — Mn.: TetraSistems, 2010. – 368 s.

XXVI. Oulidi, H.J., Moumen A., Towards to Spatial Data Infrastuctures and an Integrated Managment of Groundwater Resourses [Text] / H. J. Oulidi, A. Moumen // Journal of Geographic Information Systems, 2015, № 7. – R. 667 – 676.

XXVII. Pak, M., Determination of Forest Recreational Use Value of Forest resources in Turkey: Sazalan Forest Recreation Site Sample [Text] / Mehmet Pak, Mustafa FehmiTürker. – http://www.fao.org/docrep/ARTICLE/WFC/XII/0411-A1.HTM.

XXVIII. Savinykh, V.P., Information Technologies in Environmental Monitoring Systems [Informatsionnyyetekhnologii v system akhekologicheskogomonitoringa] [Tekst] / V.P. Savinykh, V.F. Krapivin, I.I. Potapov. – M.: Nauka, 2007.

XXIX. Savkin, V.M., Water Storage Basins of Siberia: Environmental and Economic Consequences of Their Creation [VodokhranilishchaSibiri, vodno-ekologicheskiye i vodno-khozyaystvennyyeposledstviyaikhsozdaniya] [Tekst] / V. M. Savkin // Sibirskiyekologicheskiyzhurnal, 2 (2000). – Novosibirsk: SO RAN, 2000. – S. 109 – 121.

XXX. Sedelnikov, V.P., Space Segment in the System of the State Topographic Monitoring [Kosmicheskiy segment v struktureSistemygosudarstvennogotopograficheskogomonitoringa] [Tekst] / V. P. Sedelnikov // Geomatika № 2. – M.: Sovzond, 2012. – S. 57–60.

XXXI. Seredovich V., The Forecast of Technogenic and Natural Threats Connected with Expoloiting of the Novosibirsk Water Basin [Text] / V. Seredovich, A. Dubrovskiy // Early warning and crises/disaster and emergency management. – Novosibirsk: SSGA, 2003 – C. 96–98.

XXXII. Sibly, H., Pricing and Management of Recreational Activities Which Use Natural / [Text] Hugh Sibly. – Springer link. Environmental and Resource Economics No. 18, 2001. – P. 339–354 (Resources https://link.springer.com/article/10.1023/A:1011165132180).

XXXIII. Steiniger, S., Free and Open Source GIS Software for Building a Spatial Data Infrastructure [Text] / S. Steiniger , A.J.S. Hunter // Geospatial Free and Open Source Software in the 21st Century. LNGC. Heidelberg. Springer. 2012. – Pp. 247–261.

XXXIV. Sverd, Kh., Risk Analysis and Management [Analiz i upravleniyeriskami] [Tekst] / Khans-IvarSverd // Rossiyskiy i yevropeyskiyopytispolzovaniyamodelikompleksnogoupravleniyapribrezhnoyzonoynaregionalnom imunitsipalnomurovnyakh: materialyseminara. – SPb., 2005. – 74 s.

XXXV. Verkhoturov, D., In the Depths of the Siberian HESs [Voglubinesibirskikh GES] [Tekst] / D. Verkhoturov / Krasnoyarskayaregionalnayaobshchestvennayaekologicheskayaorganizatsiya «Plotina»: sb. statey. – Krasnoyarsk, 2009. – 91 s.

XXXVI. Voropayev, G.V., Water Storage Basins and their Influence on the Environment [Vodokhranilishcha i ikhvozdeystviyenaokruzhayushchuyusredu] [Tekst] / G. V. Voropayev, A. B. Avakyan. – M.: Nauka, 1986. –367 s.

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Abstract:

A non-linear fractal oscillator is a generalization of a classical non-linear oscillator in consideration of the hereditary or the memory effect. The memory effect is a property of a dynamic system in which its current state depends on a finite number of its previous states. Therefore, a non-linear fractal oscillator can be mathematically described using integro-differential equations with difference kernels or fractional order derivatives.   In this paper, a fractal non-linear oscillator has been investigated to identify chaotic oscillatory modes. The quantitative measure of chaotic regimes is the largest (maximal) Lyapunov exponents. For calculating the maximal Lyapunov exponents, the Wolff algorithm based on the Gram-Schmidt orthogonalization procedure has been selected, using both numerical solutions for an initial fractal dynamical system by using variational equations. The Wolff algorithm also makes it possible to plot the spectrum of Lyapunov exponents as a function of control parameters for the initial dynamical system.  It has been shown that some spectra of Lyapunov exponents contain positive values indicating the existence of chaotic modes, which are also confirmed by the corresponding phase trajectories.

Keywords:

Maximal Lyapunov exponents,Wolff algorithm,Gram-Schmidt orthogonalization,chaotic strange attractor,boundary cycle,spectrum of Lyapunov exponents,non-linear fractal oscillator,Gerasimov-Caputo derivative,

Refference:

I. Benettin G., Galgani L., Giorgilli A., Strelcyn J.-M., Lyapunov characteristic exponents for smooth dynamical systems and for Hamiltonian systems: A method for computing all of them, P. I: Theory. P. II: Numerical application // Meccanica. 1980. V. 15. p. 9-30.
II. Caputo M. Elasticit`a e dissipazione. Bologna: Zanichelli, 1969. 150 p.
III. Flores-Tlacuahuac A., Biegler L. T. Optimization of fractional order dynamic chemical processing systems // Industrial & Engineering Chemistry Research. 2014. vol. 53. no. 13. 5110-5127.
IV. Gao X., Yu J. Synchronization of two coupled fractional-order chaotic oscillators // Chaos, Solitons& Fractals. 2005. vol. 26. no. 1. pp. 141-145.
V. Gerasimov A.N.Obobshcheniyelineynykhzakonovdeformatsii i ikhprilozheniye k zadachamvnutrennegotreniya[Generalization of linear deformation laws and their application to internal friction problems]. AN SSSR, Prikladnayamatematika i mekhanika Journal, 1948, v. 12, pp. 529–539.
VI. Karthikeyan A., Rajagopal K. FPGA implementation of fractional-order discrete memristor chaotic system and its commensurate and incommensurate synchronisations // Pramana. 2018. vol. 90. no. 1
VII. Kilbas A.A., Srivastava H.M., Trujillo. J.J. Theory and Applications of Fractional Differential Equations. Amsterdam: Elsevier, 2006. 523 p.
VIII. Li C. et al. A new chaotic oscillator with free control //Chaos: An Interdisciplinary Journal of Nonlinear Science. 2017. vol. 27. no. 8. pp. 083101.
IX. Mainardi F. Fractional Relaxation-Oscillation and Fractional Diffusion-Wave. Chaos, Soliton& Fractal, 1996, vol. 7(9), pp.1461-1477.
X. Makarov D.V., Parovik R.I. Modeling of the economic cycles using the theory of fractional calculus // Journal of Internet Banking and Commerce. 2016. vol. 21. no S6.
XI. Meilanov R.P., Yanpolov M.S. Features of the phase trajectory of a fractal oscillator // Technical Physics Letters. 2002. vol. 28. no 1. pp. 30-32
XII. Min F., Wang Y., Dou Y. Analysis and Control of Chaotic Oscillation in Fractional-order Power System with Excitation Model // Journal of Electronics & Information Technology. 2017. vol. 8. 030.
XIII. Nasrolahpour H. Fractional Dynamics in Bioscience and Biomedicine and the Physics of Cancer // bioRxiv. 2017. 214197.
XIV. Oldham K. B., Spanier J. The fractional calculus. Theory and applications of differentiation and integration to arbitrary order. London: Academic Press, 1974. 240 p.
XV. Parovik R.I. Explicit finite-difference scheme for the numerical solution of the model equation of nonlinear hereditary oscillator with variable-order fractional derivatives //Archives of Control Sciences. 2016. vol. 26. no 3. pp. 429-435.
XVI. Parovik R.I. МMatematicheskoyemodelirovaniyenelineynykhereditarnykhostsillyatorov [Mathematical Modeling of Non-linear Hereditary Oscillators].Petropavlovsk-Kamchatsky, Vitus Bering KamGU Publ., 2017. 135 p.
XVII. Parovik R.I. Mathematical modeling of nonlocal oscillatory Duffing system with fractal friction // Bulletin KRASEC. Physical and Mathematical Sciences. 2015. vol. 10. no 1. pp. 16-21.
XVIII. Parovik R.I. Ob issledovaniiustoychivostiereditarnogoostsillyatora Van-der-Polya[On research of the van der Pol hereditary oscillator stability].Fundamental’nyyeissledovaniya Journal, 2016. No. 3-2, pp. 283-287.
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XX. Parovik R.I. Postroyeniye kart dinamicheskikhrezhimov i bifurkatsionnykhdiagramm v nelineynoydinamike s pomoshch’yusredykomp’yuternoymatematiki Maple [Plotting dynamic modes and bifurcation diagrams in non-linear dynamics using Maple software for mathematics]. Petropavlovsk-Kamchatsky, Matematika i metodikayeyeprepodavaniya, Sborniknauchno-metodicheskikhstatey, 2015, pp. 110-120.
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XXII. Petras I. Fractional-Order Nonlinear Systems. Modeling, Analysis and Simulation. Beijing and Springer-Verlag Berlin Heidelberg: Springer, 2011. 218 p.
XXIII. Rajagopal K. et al. A chaotic memcapacitor oscillator with two unstable equilibriums and its fractional form with engineering applications // Nonlinear Dynamics. 2018. vol. 91. no. 2. pp. 957-974.
XXIV. Syta A., Litak G., Lenci S., Scheffler M. Chaotic vibrations of the Duffing system with fractional damping//Chaos: An Interdisciplinary Journal of Nonlinear Science. 2014. Т. 24. №1. 013107.
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XXVII. Wolf A. et al. Determining Lyapunov exponents from a time series // Physica D: Nonlinear Phenomena. 1985. vol. 16. no. 3. pp. 285-317.

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Abstract:

Probiotic complexes that produce a stimulating effect on an animal’s body, normalize intestinal microbiocenosis and improve resistance of an agricultural animal’s body are widely applied to increase meat production of animals. The purpose of the studies was to examine blood chemistry values of fattening rabbits with inclusion of Vetom 3.0 probiotic supplement into the diet and effect on histological features of the gastrointestinal tract of young rabbits. The effect of Vetom 3.0 biologically active supplement that contains Bacillus amyloliquefaciens strain VKPM B-10642 produced on the basic blood chemistry values and histological structure of the stomach and liver in rabbits was examined. 2 (experimental and control) groups were formed with 10 chinchilla rabbits aged 60 days in each group. Experimental animals were given Vetom 3.0 probiotic supplement once a day at the dose of 75 mg/kg live weight for 60 days. Study of blood composition evaluates an animal’s condition and gives a general idea of environmental adjustment. It also allows us to observe different changes that take place in an animal’s body when it is fed and managed evaluating its total physiological condition. The greatest increase of total protein, albumin and globulin content was noted in an experimental group following 60 days, increasing the non-specific resistance and activating mineral exchange. According to histological studies, the use of Vetom 3.0 probiotic in young rabbits produces a positive effect on the structural organization of the stomach and liver and prevents dystrophic processes

Keywords:

Probiotic agent,blood chemistry values,protein exchange,gastro-intestinal tract structural organization,

Refference:

I. 4.Trubchaninova N. S., Prokhodnya G.S., Fedorchuk E. G., Eremenko E. P., Zdanovich S. N. Use of HydroLactiV probiotic in diets for rabbits// Bulletin of the Kursk State Agricultural Academy. 2014. No. 1. P.49-51.

II. Chernenkov E. N., Mironova I. V., Gizatov A. Y. Effect of Biogumitel probiotic on the hematological values in rabbits//News of OGAU. 2015. No.3 (53). P.203-205.

III. Effect of probiotic bacterium on growth and biochemical parameters of shrimp litopenaeusvannamei Sandeepa.MG1* and Ammani.K2 International Journal of Recent Scientific Research Research Vol. 6, Issue, 2, pp. 2871-2875, February, 2015

IV. Effect of probiotic supplementation on growth performance, nutrient utilization and carcass characteristics of growing Chinchilla rabbits. R. S. Bhatt, A. R. Agrawal, A. SahooJournal of Applied Animal Research.2017; 45(1): 304. Doi:10.1080/09712119.2016.1174126.

V. Effects of probiotic supplement (Bacillus subtilis and Lactobacillus acidophilus) on feed efficiency, growth performance, and microbial population of weaning rabbits Thanh Lam Phuoc and UttraJamikorn, Asian-Australas J AnimSci Vol. 30, No. 2:198-205 February 2017. doi.org/10.5713/ajas.15.0823. pp. 198-205.

VI. Gorkovenko L. G. Effective use of Bacell-m diet probiotic supplement in rabbits. – Gorkovenko L. G., Yurina N. A., Omelchenko N. A., Omelchenko N. N. – Kubam veterinary medicine. 2016. No. 1. P. 19-21.

VII. Karabanova L. V., Efremov A. P., Knaub A. S., Narits A. S. Morphological blood values in young rabbits of different breeds as a factor of physiological condition.//Bulletin of OmGAU. 2014. No.4 (16). P.31-33.

VIII. Khazimukhametova I. F. Effect of Hemobalance on rabbits/ Khazimukhametova I. F., Vasilieva I.A., Shishkina E. A. – Achievements of science and technology of the agricultural sector. 2013. No. 8. P. 57-59.

IX. Kotsubenko A. A. Morphological and biochemical blood values of rabbits grown using different technologies. – Bulletin of the Novosibirsk State Agricultural University. 2013. No.1 (26). P. 57-61.

X. Kravtsova O. A. Effect of Selerol with microelement salts on the morphological values of blood and weight of rabbits. – Ural Agricultural Bulletin. 2013. No. 3 (109). P. 24-26.

XI. Lesnyak A.N., Dobudko A. N. Effective growing of rabbits under different care conditions in the Central Black Earth Region//Bulletin of BUNK. 2006. No. 3 (18).- P. 93–94.
XII. Methods of morphological studies. Edition 2, revised and enlarged./Suleymanov S. M. et al. GNU VNIVIPFiT. – Voronezh, 2007. – 87 pages.

XIII. Mironova I. V. Blood values in rabbits when Biogumitel probiotic supplement is included into a diet. – Mironova I. V., Chernenkov E. N., Chernenkova A.A. – News of the Orenburg State Agricultural University. 2017. No. 1 (63). P. 212-215.

XIV. Mironova I. V., Chernenkov E. N. Natural resistance of rabbits fed with Biogumitel probiotic supplement// News of OGAU. 2017. No. 1 (63). P.115-117.

XV. Nozdrin G. A. Morphological and biochemical blood values in rabbits when using Veles 6.59 probiotic/ Nozdrin G. A., Gromova A. V., Ivanova A. B., Nozdrin A. G., Lelyak A. A. //Achievements of science and technology of the agricultural sector. 2012. No. 10. P. 53-55.

XVI. Physiological, biochemical and biometric normal values in experimental animals. Guide. SPB: LEMA, 2013.- 116 p.

XVII. Productive performance of broiler rabbits fed diets supplemented with probiotic and enzymes under two systems of housing* Sarat Chandra1 , M. Mahender, M. GnanaPrakash, T. Raghunandan and K. Kondal Reddy – Indian J. Anim. Res., 48 (4) : 355 – 361, 2014. Doi:10.5958/0976–0555.2014.00455.5

XVIII. Skryabin S. O. Effect of Vetoma 1.1 and Enterocyn probiotics on the production indices in rabbits. – Rabbit and animal breeding. 2010. No. 5. P. 16-17.

XIX. The Influence of the Probiotic “Rescue Kit” On the Growth and Development of Accelerated Rabit Youngsters under the Conditions of Northern Kazakhstan. Laura M. Burshakbayeva, Yessenbay I. Islamov, NurlybayZh. Kazhgaliyev, Makhabat B. Saginbayeva, and Sansyzbay S. Rashitov.- Research Journal of Pharmaceutical, Biological and Chemical Sciences. – May – June 2016 RJPBCS 7(3) Page No. 1575- 1585.

XX. Vorobyov A. V. Veterinary and sanitary values of rabbit meat affected by experimental biological agents// Issues of veterinary sanitation, hygiene and ecology. 2012. No. 1. P. 210-215.

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Abstract:

In conditions of keencompetition in the markets for goods and services, a huge emphasis is put on the stages of subject-wise planning, issuing design specification, and front-end engineering designwhen manufacturing new products. These stages are primarily responsible for the key technical and economic products’ characteristics that directly identify the product conceptual design and marketability. Current information and analytical systems (IAS)that dictate a choice of perspective directions to develop newly created products and their most preferred specimens basically use knowledge of experts about the value of estimation indicators. The latter usually serve as a basis for opting the best specimens of the newly designed technical systems. Evaluation of quality and technical level (TL) of complex technical systems using the created IAS often involves value functions (for instance, Fishburn function), which imply that a dialogue with a decision-maker (DM) produces information about his views of “value systems” or “preference systems”, used to construct value functions. Developers of new products experience considerable difficulties in choosing a value function of estimation indicators when working with IAS. The paper proposes to determine a value function for numerical indicators using the newly designed information model, based on expert estimations consistent with estimation of truck TL. A technical device and algorithm to determine value functions of unit estimation CTS indicators were developed according to the method. An invention was registered, and a patent was issued. The method also implies taking random factors into account when evaluating CTS TL for, as an example, “reliability” as the key estimation indicator.Two patents of the Russian Federation were obtained for invention of a time digitizer and a device for estimating effectiveness of various systems through sampling random values. The suggested method of generating a value function enables a scientist to choose the type and nature of a value function that will allow to increase the degree of CTS TL evaluation reliability, and optimize the cost of obtaining initial information when predicting CTS reliability due to evaluation of adaptive digitalizationof random processes initiated in IAS. The paper materials may be of service to designers of complex systems at the initial stages of developing thereof in evaluating possible alternatives of CTS implementation, and determining TL at all stages of CTS life cycle.

Keywords:

Complex technical systems (CTS),information and analytical system (IAS), value functions, unit estimation indicators,technical level,concordance coefficient,random process,digitalization,reliability,

Refference:

I. Bomas V.V., Sudakov V.A., AfoninK.A. Support in making multi-criteria decisions by user’s preferences. DSSDSB/UTES. Under editorship of V.V.Bomas. – М.: MAI Publishing office, 2006. – 172p./БомасВ.В., Судаков В.А., АфонинК.А. Поддержка принятия многокритериальных решений по предпочениям пользователя. СППРDSB/UTES. Под ред. В.В. Бомаса. – М.: Изд-во МАИ, 2006. – 172 с.
II. BurbaA.A. Adaptivetimedigitizer // PFPatentNo. 2583707, 2016 / БурбаА.А. Адаптивный временной дискретизатор // Патент РФ № 2583707, 2016.
III. BurbaA.A.,PoltavskiyA.V., KhripunovS.P. Device to evaluate effectiveness. Patent No. 2178201, application 16.04.2001, published on 10.01.2002, IPCG06F 17/18/ БурбаА.А.,ПолтавскийА.В., ХрипуновС.П. Устройстводляоценкиэффективности. Патент № 2178201, заявл. 16.04.2001 г.,опубл. 10.01.2002 г. МПKG06F 17/18.
IV. BurbaA.A., Semenov S.S., Shcherbinin V.V. Device to determine value function of unit estimation indicators of complex technical systems. PatentNo.2445687, application 02.12.2010, publ. 20.03.2012. Bul. No.8, IPCG06F 17/90 / БурбаА.А., Семенов С.С., Щербинин В.В. Устройство для определения функции ценности единичных оценочных показателей сложных технических систем. Патент № 2445687, заявл. 02.12.2010 г.,опубл. 20.03.2012 г. Бюл. № 8, МПKG06F 17/90.
V. DedkovV.K. Pronikov A.S., TerpulovskiyA.N. Reliability of complex technical systems. Methods of determining and ensuring reliability of industrial products. Under editorship of G.N. Bobrovnikov. – М.: Academy of National Economy, 1983. – 120p./Дедков В.К., ПрониковА.С., ТерпуловскийА.Н. Надежность сложных технических систем. Методы определения и обеспечения надежности промышленной продукции. Под ред. Г.Н. Бобровникова. – М.: АНХ, 1983. – 120 с.

VI. Dixon, John R. Design Engineering: Inventiveness, analysis, decision-making: Translation from English – M.: Mir, 1969. – 440p./Диксон Д. Проектирование систем: изобретательство, анализ, принятие решений: Пер. с англ. – М.: Мир, 1969. – 440 с.
VII. DudnikovS.V.,BabishinV.D., PokrovskiyP.E. Theoryofdecision-making, Mathematicalsupportofproceduresfordecision-makingusingutilityfunctions. – М.: MARTIT, 2012. – 132p. / Дудников С.В., БабишинВ.Д., Покровский П.Е. Теория принятия решений, Математическое обеспечение процедур принятия решений на основе функций полезности. – М.: МАРТИТ, 2012. – 132 с.
VIII. FaskhievKh.A. Analysisofmethodsforevaluatingqualityandcompetitivenessoftrucks // Qualitymanagementmethods. – 2001. – No.3. – pp. 24-28; No.4. – pp. 21-26/ ФасхиевХ.А. Анализ методов оценки качества и конкурентоспособности грузовых автомобилей // Методы менеджмента качества. – 2001. – № 3. – C. 24-28; № 4. – C. 21-26.
IX. Fishburn, P.C. (1970), Utility Theory for Decision Making. TranslationfromEnglish – M.: Nauka, 1978. – 352p. / ФишбернП.К. Теория полезности для принятия решений. Пер. с англ. – М.:Наука, 1978. – 352 с.
X. GOST 23554.0-79. “Expert methods of evaluating quality of industrial products. Generalprovisions”/ ГОСТ 23554.0-79. “Экспертные методы оценки качества промышленной продукции. Основные положения”.
XI. Litvak B.G. Expert information. Methods of obtaining and analyzing. Monography. – M.: Center for studies in problems of experts’ training quality, 2009. – 225p./Литвак Б.Г. Экспертная информация. Методы получения и анализа. Монография. – М.: Исследовательский центр проблем качества подготовки специалистов, 2009. – 225 с.
XII. PoltavskiyA.V. Modelofmeasurementsystemincontrollingdroneaircraft // Information-measurementandcontrolsystems. – 2009. – No. 10. – pp. 73-77 / Полтавский А.В. Модель измерительной системы в управлении БЛА // Информационно-измерительные и управляющие системы. – 2009. – № 10. – С.73-77.
XIII. PoltavskiyA.V., BurbaA.A., AverkinA.E., Maklakov V.V., Makarov V.V. Multifunctional complexes of drone aircrafts. Under editorship of E.Y. Rubinovich. – М.: Institute of Control Sciences of RAS, 2015. – 204p./Полтавский А.В., БурбаА.А., Аверкин А.Е., Маклаков В.В., Макаров В.В. Многофункциональные комплексы беспилотных летательных аппаратов. Под ред. Рубиновича Е.Я. – М.: ИПУ РАН, 2015. – 204 с.

XIV. PoltavskiyA.V.,SemenovS.S., BurbaA.A. Modelsofchoosingalternativeswhencreatingcomplextechnicalsystems // Doubletechnologies. – 2014. – No. 4 (69). – pp. 40-48. / Полтавский А.В., Семенов С.С., БурбаА.А. Модели выбора альтернатив при создании сложных технических систем // Двойные технологии. – 2014. – № 4 (69). – С. 40-48.
XV. Ralph L. KeeneУ, Howard Raiffa. Decisions with multiple objectives: preferences and value tradeoffs. Translation from English of V.V. Podinovskiy, M.G. Gaft, V.S. Babintsev / Under editorship of I.F. Shakhnov. – M.: Radio and communication, 1981. – 560p. / КиниР.Л.,Райфа Х. Принятиерешенийпримногихкритерияхпредпочтения и замещения. Пер. с англ. В.В. Подиновского, М.Г. Гафта, В.С. Бабинцева / Под ред. И.Ф. Шахнова. – М.:Радио и связь, 1981. – 560 с.
XVI. SamkovT.L. Decision-making theory. Compendium of Lectures. – Novosibirsk: NSTU, 2010. – 107p. / СамковТ.Л. Теорияпринятиярешений. Конспектлекций. – Новосибирск: Изд-воНГТУ, 2010. – 107 с.
XVII. Semenov S.S. Evaluation of quality and technical level of complex systems: Practical application of expert estimations method. – М.:Lenand, 2015. – 352p. / СеменовС.С. Оценкакачества и техническогоуровнясложныхсистем: Практикапримененияметодаэкспертныхоценок. – М.:Ленанд, 2015. – 352 с.
XVIII. Semenov S.S., PoltavskiyA.V.,KryanevA.V. Evaluating technical level of complex systems (by the example of creating multifunctional complexes of drone aircrafts) // Phasotron. – 2013. – 3 (22). – pp.61-67/ СеменовС.С., ПолтавскийА.В., КряневА.В. Оценкатехническогоуровнясложныхсистем (напримересозданиямногофункциональныхкомплексовбеспилотныхлетательныхаппаратов) // Фазотрон. – 2013. – 3 (22). – С. 61-67.
XIX. Semenov S.S., Voronov E.M., PoltavskiyA.V.,KryanevA.V. Methods of decision-making in problems of evaluating quality and technical level of complex technical systems. Under editorship of Dr. of Technical Science, Prof. E.Y.Rubinovich. – M.: LENAND, 2016. – 520p./Семенов С.С., Воронов Е.М., Полтавский А.В., КряневА.В. Методы принятия решений в задачах оценки качества и технического уровня сложных технических систем. Под ред. д-ра техн. наук, проф. Е.Я. Рубиновича. – М.: ЛЕНАНД, 2016. – 520 с.

XX. TerekhinaA.Y. Determination of utility function by qualitative data // Procedures for assessing multi-criteria objects. Collected works. – М.: All-Russia Scientific Research Institute for Certification, 1984. – 124p. – pp. 28-34/ ТерехинаА.Ю. Определениефункцииполезностинакачественныхданных // Процедурыоцениваниямногокритериальныхобъектов. Сборниктрудов. – М.: ВНИИСИ, 1984. – 124 с. – С. 28-34.
XXI. Totsenko, V.G. Methods and systems of decision-making support. Algorithmicaspect. – Kiev: Naukovadumka, 2002. – 382. / ТоценкоВ.Г. Методы и системы поддержки принятия решений. Алгоритмическийаспект. – Киев: Науковадумка, 2002. – 382.

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Abstract:

The relevance of the research issues is due to the popularity of implementation of cloud technologies within enterprises. The decision on implementation becomes strategic, as it is often associated with major changes in the business processes and infrastructure of the company, the implementation of these decisions requires financial resources, and the consequences of wrong decisions can be critical to the survival of the company. The purpose of the article is to undertake a SWOT-analysis of strategic directions on the basis of fuzzy decision-making models for the formation of strategy and setting tasks in implementingthe cloud technologies. The leading approach to the study of this issue is fuzzy SWOT-analysis used to justify strategic decisions in implementing the cloud technologies. The results of practical application to develop an implementation strategy for the cloud technologies at PJSC “Rutelecom” are presented in the study. Fuzzy SWOT-analysis results enabled estimates of the importance related tosome factors of the external and internal environment, as well as their combinations, to take them into account in the formation of the strategy of cloud technology implementation. The paper discusses the main strategic directions, based on the analysis, as well as the target-setting for the next stages of development of the strategy of PJSC “Rutelecom”. The study presents the research results based on the possibility of using fuzzy SWOT-analysis to form a strategy and set tasks for the implementation of cloud technologies. The materials of the article can be useful for enterprises planning to implement cloud technologies in their activities to justify their application, reliability and value, as well as researchers in the field of strategic management, fuzzy systems and cloud technologies.

Keywords:

Cloudtechnologies,strategy,fuzzymodels,SWOT-analysis,decision-making, risks,information security,efficiency,methods,assessment,factors of external and internal environment of the enterprise,

Refference:

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VII. FUZZY-SWOT-1.0.: Svidetel’stvo ob oficial’noj registracii programmy dlja JeVM № 2007610206// Zaharova A.A., Salifov S.V.; zajavitel’ i pravoobladatel’ Zaharova A.A., Salifov S.V. – № 2006613889; zajavl. 16.11.06; zaregistrirovano 09.01.07.
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XI. GulievYa. I., Gulieva I. F., Ryumina E. V.. (2009). Assessing the Economic Efficiency of Using Information Technologies in Medicine: World Practice. Studies on Russian Economic Development, 2009, 20 (6), 626–631.
XII. Herdiansyah, MI; Kunang, SO; Akbar, M. (2014). IT Strategy Alignment in University Using IT Balanced Scorecard Framework. Advanced science letter, 20, issue 10-12, 2038-2041.
XIII. Huang, LC; Wang, KK; Wu, FF; Lou, Y; Miao, H; Xu, YM. (2012). SWOT Analysis of Information Technology Industry in Beijing, China Using Patent Data. Computational science and its applications – ICCSA 2012, 7333, 447-461.
XIV. Jones, S (2015). Cloud computing procurement and implementation: Lessons learnt from a United Kingdom case study. International journal of information management, 35 (6), 712-716.
XV. Kim, W. (2009). Cloud computing: Today and Tomorrow. Journal of Object Technology, 8 (1), 65-72.
XVI. Kumar S., Dutta K., Mookerjee V. (2009). Maximizing business value by optimal assignment of jobs to resources in grid computing. European Journal of Operational Research, 194 (3), 856-872.
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XVIII. Li, Q; Wang, C; Wu, J; Li, J; Wang, ZY. (2011). Towards the business-information technology alignment in cloud computing environment: an approach based on collaboration points and agents. International journal of computer integrated manufacturing, 24 (11), 1038-1057.
XIX. Liu, WY; Han, XH. (2010). Case Analysis of Competitive Intelligence E-commerce Website based on the SWOT. Conference on web based business management, 1-2, 625-628.
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XXI. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., Ghalsasi, A. (2011).Cloud computing – The business perspective. Decision Support Systems. Volume 51 (1), 176-189.
XXII. Maslov A. V. (2013). Competencies of a corporate knowledge manager. Applied Mechanics and Materials, 379, 214-219.
XXIII. Mehmood, F; Hassannezhad, M; Abbas, T. (2014). Analytical investigation of mobile NFC adaption with SWOT-AHP approach: A case of Italian Telecom. 7th International conference interdisciplinarity in engineering (inter-eng 2013), 12, 535-541.
XXIV. Mendes, JM; Leitao, P; Colombo, AW (2011). Service-oriented Computing in Manufacturing Automation: A SWOT Analysis. IEEE International Conference on Industrial Informatics (INDIN) 2011, 346-351.
XXV. Menga, ADE; Lu, J; Liu, XD. (2015). Ranking alternative strategies by SWOT analysis in the framework of the axiomatic fuzzy set theory and the ER approach. Journal of intelligent & fuzzy systems, 28 (4), 1775-1784.
XXVI. Mitsel A., Zakharova A. (2005). Primenenienechetkihlingvisticheskihmodelejprirazrabotkestrategiirazvitijamunicipal’nogoobrazovanija [Application of non-distinctive linguistic models during elaboration of the strategies for municipal education development]. Bulletin of the Tomsk Polytechnic University, 308 (4), 178-182.
XXVII. Mohammad, S. (2010). SWOT Analysis of E-Learning System in Bahraini Universities. International conference on e-education, e-business, e-management and e-learning: ic4e, proceeding, 61-65.
XXVIII. Motavaselalhagh, F. Safi Esfahani, F. Arabnia, H.R. (2015). Knowledge-based adaptable scheduler for SaaS providers in cloud computing. Human-centric Computing and Information Sciences, 5: 16

XXIX. Panahi, H; Assadzadeh, A; Taheri, K. (2013). Strategic Planning to Implement E-Commerce in Handmade Carpet: A SWOT Matrix Approach. 7th International conference on e-commerce in developing countries: with focus on e-security (ecdc).
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Abstract:

The paper deals with the specific features of hydrological regime of valley reservoir in the variable-backwater zone. The emphasis is on the level regime, used to identifythree sections within the zone in question: upstream section (river conditions prevail), midsection (there are both river and reservoir conditions), downstream section (basic reservoir conditions). The distinctivecharacteristicsofvelocitieswithintheidentifiedsectionswereassessed through analyzing actual velocities and comparing them with the scouring ones. A non-dimensional coefficient was suggested that exhibits tendencies in the processes of transforming water facility basin. 3D hydrodynamic model was designed using Navier-Stokes equations. It takes into consideration turbulent exchange, special features of hydrological regimeof a reservoir and grain size of sediments.Model testing using actual material showed that it can be utilized for applied purpose: to design the navigable channel project and forecast the reservoir basin topography in the variable-backwater zone.

Keywords:

Reservoir,variable backwater,modelling,water level,velocities,direction of flows,grain-size analysis,bed sediments,basin topography/relief,

Refference:

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II. Babiński Z 1992 Modern processes of koritove of lower Vistula (Geographical works) vol 157 (Wrocław-Warszawa-Kraków) p 172

III. Babiński Z 2002 Influences of barrages on processes of koritovealuvialnickh rivers with special taking into account of water «degree of Włocławek» (Bydgoszcz: publishing House of Academy of Bydgoskiej) p 185

IV. Banach M 1993 Sedimentacja in receptacle of Włocławek and smoothing of coastline (Czas. Geogr, vol 3-4) pp 285–306.

V. Baryshnikov N.B. Channel processes: Textbook. Saint-Petersburg, RSHMU, 2008 / БарышниковН.Б. Русловыепроцессы: Учебник. Санкт-Петербург, РГГМУ, 2008

VI. Berkovich K.M. Channel processes in the rivers in the area of reservoirs’ impact. M.: Geographicalfaculty, MSU 2012. 163p. /Беркович К.М. Русловые процессы на реках в сфере влияния водохранилищ. М.: ГеографическийфакультетМГУ 2012. 163 с.

VII. Chernov A.V. Flood plain and flood plain processes. Interuniversity collection of works. Under editorship of Prof. Baryshnikov N.B. and Prof. R.S. Chalov. St.P.: Publishing house of RSHMU. 2006. 136p. / ЧерновА.В. Поймаипойменныепроцессы. Межвузовский сборник. Под редакцией проф. Н.Б. Барышникова и проф. Р.С. Чалова. СПб.: изд-во РГГМУ. 2006. 136 с.

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XVI. Kovalenko V.V. Partially infinite modelling and prediction of the river run-off formation process. Saint-Petersburg. PublishinghouseofRSHMU, 2004, 198p. / Коваленко В.В. Частично инфинитное моделирование и прогнозирование процесса формирования речного стока. Санкт-Петербург. Изд-во РГГМУ, 2004. 198с.
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XVIII. Makkaveev N.I., Belinovich I.V., Khmeleva N.V. Channel processes in variable-backwater zones. From book: Channel processes: Collection of articles. M., Publishing house of the Academy of Sciences of the USSR, 1958. pp. 318-337/ МаккавеевН.И.,БелиновичИ.В., ХмелеваН.В. Русловыепроцессывзонахпеременногоподпора. В кн.: Русловые процессы: Сборник статей. М., Изд-во АН СССР, 1958. С. 318-337.

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XXI. Rathburn S, Finley J, Klein S, Whitman B 2004 Assessing reservoir sedimentation using bathymetric comparison and sediment loading measurements (Geological Society of America, Abstracts with Programs,) vol 36, No 5 p 12.

XXII. Shaydulina A.A., Dvinskikh S.A. Flow speed mode in the variable backwater area of the Kama reservoir// Geographical bulletin. 2017. No. 3 (42). 61–70pp. doi 10.17072/2079-7877-2017-3-61-70 / Шайдулина А.А., Двинских С.А. Режим скоростей течения в районе переменного подпора Камского водохранилища // Географический вестник = Geographicalbulletin. 2017. №3(42). С. 61–70. doi 10.17072/2079-7877-2017-3-61-70.

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Abstract:

At present, the quality of bitumen-mineral mixtures both,inRussia and abroad, is estimated by a set of empirical methods based on many years of experience in using asphalt concrete in road building. Numerous attempts havebeen made over the years to theoretically substantiate the basic behavior patterns of the material under the influence of various factors. Thus, the creation of optimal conditions for the formation of microstructural contact bonds in a highly concentrated polymineral polydispersion system significantly contributes to the formation of asphalt mixes with necessary processing properties and asphalt concrete with required transport and performance characteristics. The article describes the solution of this problem according to the basic provisions of physical chemical mechanics of highly concentrated dispersion systems, taking into account peculiarities of contact interactions. The studies have allowed finding the quantitative correlations of indicators of physical mechanical and structural rheological properties being formed at compaction of bitumen mineral mixes as well as quantitative connections between formative and destructive factors with structural mechanical and construction technical properties of asphalt in road coverings.It has been established that the structural changes in asphalt concrete in road coverings under the influence of operational factors are physical chemical in nature and reliably described, taking into account the basic provisions of physical chemical mechanics and the theory of contact interactions.

Keywords:

Bitumen mineral mixes,structuring,contact interactions,physical chemical and structural rheological properties,

Refference:

I. Arrambide J. and Duriez M. Liants Routiers et Enrobés. Matériaux de Protection Platre-Agglomérés-Bois. Paris: Dunod, Édition du Moniteur des Travaux Publiques, 1959.
II. Compaction and Paving. Theory and Practice. SwedenÇ Dynapac AB, 1989.
III. Deryagin B. V. and Landau L. D. Theory of Stability of Strongly Charged Lyophobic Fields and Agglutination of Strongly Charged Particles in Electrolyte Solutions [Teoriya ustoychivosti sil’no zaryazhennykh liofobnykh zoley i slipaniye sil’no zaryazhennykh chastits v rastvorakh elektrolitov]. Zhurnal eksperimental’noy i teoreticheskoy fiziki (Journal of Experimental and Theoretical Physics). 1945. Vol. 15. P. 663.
IV. Dodkhoev I. I. Peculiarities of Using Cold Asphalt Concrete Technology in Tajik Climate [Osobennosti tekhnologii kholodnogo asfal’tobetona v uslo-viyakh klimata Tadzhikistana]. Extended Abstract of thesis for a Candidate of Engineering Sciences. Moscow: MADI, 1998.
V. Gorelyshev N. V., Goglidze V. M., Radovsky B. S., and Suprun A. S. Instructional Guidelines for Determining Non-Standardized Properties of Asphalt Concrete As Part of Course in Road Building Materials [Metodicheskiye ukazaniya po opredeleniyu nestandartizovannykh svoystv asfal’tobetona po kursu «Dorozhno-stroitel’nyye materialy]. 1988.
VI. Gridchin A. M., Vysotskaya M. A., and Korotaev A. P. Peculiarities of Interaction between Porous Mineral Powders and Bitumen [Osobennosti vzaimodeystviya poristykh mineral’nykh poroshkov s bitumom] in Collection of articles and reports of Annual Meeting of Association of Asphalt Concrete Researchers. Moscow: State Technical University-MADI, 2009. Pp. 49-53.
VII. Gridchin A. M., Yadykina V. V., Vysotskaya M. A., and Korotaev A. P. Asphalt Binder Based on Porous Mineral Powder [Asfal’tovyazhushcheye na osnove poristogo mineral’nogo poroshka] in Efficient Materials, Technologies, and Machines in Construction – part 3 of Collection of papers of XIX International Research-to-Practice Conference “Research, Nanosystems, and Resource-Saving Technologies in Construction Materials Industry”. Belgorod: BSTU, 2010. Pp. 82-86.
VIII. Grushko I. M., Korolev I. V., Borshch I. M., and Mishchenko G. M. Road Building Materials [Dorozhno-stroitel’nyye materialy]. Moscow: Transport, 1983.
IX. INSERT YOUR PROPER
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