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Experiments and numerical simulations were performed to determine the specular reflection coefficient as a function of wave angle of incidence for a 2D sample of material using a bistatic experimental design (in which the receiving and transmitting antennas rotate) as well as a monostatic design using a dihedral corner reflector (in which the object rotates). The characteristics of a flat magnetodielectric sample were measured at the ITAE RAS using two test stands and an appropriate experimental design. The procedural measurement errors were determined by performing numerical simulations of measurements to determine the specular reflection coefficient of the test specimen; these simulations were performed using the FEKO software and integral equations (solved using the method of moments) following two experimental designs. The results were compared with one another and with the results from calculations of the specular reflection coefficient performed in closed form using the Fresnel formulas under the assumption of an infinite flat layer of material. These calculations enabled comparison of the procedural measurement errors in the reflection coefficient determined using the two aforementioned experimental designs. The corner-reflector measurements were shown to have 1–2 dB higher procedural measurement error (deviation from the calculation in closed form) than the measurements using a bistatic test stand. The experimental results are consistent with the numerical simulations. The conclusions reached in this paper are valid with respect to any experimental facilities for studying 2D materials.",{"EN":231,"VI":232},"Procedural Measurement Error in Specular Reflection Coefficient from Planar Samples Using Two Different Types of Test Stands","Sai số đo lường do quy trình trong xác định hệ số phản xạ gương từ các mẫu phẳng bằng hai loại giá thử nghiệm khác nhau",{"VOID":234},"R. K. Sudha and Ch. Т. Krishna, Int. J. Eng. Techn. Res., 3, No. 7, 84–93 (2015).\nH. F. Álvarez, M. E. de Cos Gómez, and F. Las-Heras, IEEE T. Instrum. Measur., 69, No. 4, 1737–1744 (2020), https:\u002F\u002Fdoi.org\u002F10.1109\u002FTIM.2019.2913721.\nE. F. Knott, J. F. Shaeffer, and M. T. Tuley, Radar Cross Section, SciTech Publ., Boston (1993), 2nd ed.\nC. Eyraud, J.-M. Geffrin, P. Sabouroux, et al., Radio Sci., 43, RS4018 (2008), https:\u002F\u002Fdoi.org\u002F10.1029\u002F2008RS003836.\nM. Röding, G. Sommerkorn, S. Häfner, et al., Proc. 47th Europ. Microwave Conf., Nuremberg, Germany, Oct. 10–12, 2017, https:\u002F\u002Fdoi.org\u002F10.23919\u002FEuMC.2017.8231083.\nF. Daout and F. Schmitt, 2014 IEEE Conf. on Antenna Measurements & Applications (CAMA), Antibes Juan-les-Pins, France, Nov. 16–19, 2014, https:\u002F\u002Fdoi.org\u002F10.1109\u002FCAMA.2014.7003455.\nM. H. Umari, D. K. Ghodgaonkar, V. V. Varadan and V. K. Varadan, IEEE T. Instrum. Measur., 40, No. 1, pp. 19–24, https:\u002F\u002Fdoi.org\u002F10.1109\u002F19.69942.\nS. A. Fedorov, R. V. Gilmutdinov and N. L. Menshikh, 2020 7th All-Russ. Microwave Conf. (RMC), Moscow, Russia, Nov. 25–27, 2020, https:\u002F\u002Fdoi.org\u002F10.1109\u002FRMC50626.2020.9312243.\nE. P. Varentsov, M. I. Dudkin, and I. A. Illarionov, “Measurement of the broadband reflection coefficient of rf-absorbent materials via invese aperture synthesis,” 24th Int. Sci. Techn. Conf. on Information Systems and Technologies, IST-2018, N. Novgorod, Russia, April 20, 2018, NGGU im. Alekseeva, N. Novgorod (2018), p. 27.\nA. A. Gavrilov, O. E. Kir’yanov, N. A. Martynov, et al., “Measurement of the angular dependence of the modulus of the reflection coefficient of radio-absorbing materials and coatings in free space,” Izmer. Tekhn., No. 7, 58–62 (2012).\nG. A. Vedyushkin and M. G. Chernyshov, “Corner reflector in a stripline in reflection-coefficient measurement,” Izmer. Tekhn., No. 12, 29–31 (1991).\nH. Yan, H.-C. Yin, S. Li, and L.-S. Li, IEEE T. Anten. Propag., 67, No. 7 (2019), https:\u002F\u002Fdoi.org\u002F10.1109\u002FTAP.2019.2911268.\nA. E. Fridman, Fundamentals of Metrology. A Modern Course, NPO Professional, St. Petersburg, Russia (2008).\nN. P. Balabukha, A. S. Zubov, and V. S. Solosin, Compact Test Systems for Measurement of Scattering Properties, Nauka, Moscow (2007).\nR. V. Gilmutdinov, N. L. Menshikh, and S. A. Fedorov, “Edge effects in bistatic measurements of scattering from material samples,” Zh. Radioelektr. (electronic journal), No. 10 (2020), https:\u002F\u002Fdoi.org\u002F10.30898\u002F1684-1719.2020.10.6.\nS. A. Fedorov, N. L. Menshikh, and V. S. Solosin, “Test bench for measuring the bistatic scattering parameters of small objects,” in: 11th All-Russ. Sci. Techn. Conf. on Metrology in Radio Electronics, Mendeleevo, June 19–21, 2018, VNIIFTRI, Mendeleevo (2018).\nS. A. Fedorov and N. L. Menshikh, “Measurement system for determining the bistatic scattering parameters of an electromagnetic wave,” in: 6th Microwave Conf., Moscow, Nov. 27–29, 2018, IRE RAN, Moscow, p. 109.\nV. O. Kobak, Radar Reflectors, Sovetskoe Radio, Moscow (1975).\nV. I. Ivanova, S. G. Kibets, I. I. Krasnolobov, et al., “Development of a high-performance broadband rf-absorbent coating,” Zh. Radioelektr. (electronic journal), No. 7 (2016), http:\u002F\u002Fjre.cplire.ru\u002Fjre\u002Fjul16\u002F5\u002Ftext.pdf, acc. April 30, 2021.\nV. N. Semenenko, V. A. Chistyaev, A. A. Politiko, and K. M. Baskov, “Test stand for measuring the free-space electromagnetic parameters of materials over an ultrawide range of microwave frequencies,” Izmer. Tekhn., No. 2, 55–59 (2019), https:\u002F\u002Fdoi.org\u002F10.32446\u002F0368-1025it.2019-2-55-59.\nL. M. Brekhovskikh, Waves in Layered Media, Nauka, Moscow (1973).\nU. Jakobus, R. G. Marchand and D. J. Ludick, IEEE T. Electromag. 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The angular coordinates of the objects were measured by the phase method using the fast Fourier transform and synchronous spectral analysis of signals in the receiving channels while eliminating the ambiguity of the measurements of phase incursions by finding their multiplicity indices. The methodology for determining the location of radio emission sources is based on a rational choice of positions for measuring the directions of arrival of signals at various points on the flight path of an unmanned aerial vehicle according to the criterion of the minimum standard deviations of the source location estimates. The accuracy of measuring the angular coordinates and determining the location of objects in the conditions of a radio measuring range is analyzed. The measurements were performed at frequencies at which the level of background radio emissions is minimal for the operating frequency range of the detector-direction finder and does not lead to the appearance of abnormal errors. When determining the location of radio emission sources, the movement of an unmanned aerial vehicle with a direction-finding detector on board was carried out in an arc with a maximum notch angle of the bearing of 120° and in a spiral when setting directional angles in the turning points of the route according to the criterion of minimizing the dispersion of position determination. It was found that when calculating the phase incursions of signals in the frequency range 30–3000 MHz, the error in measuring the angular coordinates of radio sources is within 3.3–4.9°; for a signal-to-noise ratio 15 dB at the receiver input, the accuracy of the experimental estimate of determining their location is 2.2–13.8% of the range. Detector-direction finders of signals placed on unmanned carriers are used to monitor the electronic environment. Information on the angular coordinates and location of radio emission sources, invariant to changes in their operating modes and parameters of emitted signals, is used for spatial selection and recognition of objects.",{"EN":997},"Methods for Determining the Angular Coordinates and Locations of Radio Sources in Unmanned Monitoring Systems and Experimental Estimates of the Accuracy of these Parameters",{"VOID":999},"[\"17772917313699030870\"]",{"VOID":1001},"10.1007\u002Fs11018-020-01710-6","2024-05-02T14:33:37.821+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11018-020-01710-6",[1005,1020],{"id":1006,"sortIndex":21,"researcher":20,"roles":1007,"affiliations":1008,"properties":1017,"displayName":1019,"givenName":20,"familyName":20},"ebcabde6-fe8d-4358-98c9-d4190a1cf173",[245],[1009],{"id":1010,"sortIndex":21,"affiliation":1011,"properties":20},"e06db149-60a2-4766-8046-a9bc433721f2",{"id":1010,"createTime":20,"updateTime":20,"relativeEntities":1012,"slug":20,"properties":1013,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":1016,"statistic":20},[],{"title":1014},{"VI":1015},"Military Training and Research Center of Airforce, Zhukovskii and Gagarin Airforce Academy, Voronezh, Russia",[],{"title":1018},{"VI":1019},"E. 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Chikin, “Detection and identifi cation of signals in panoramic phase-direction-finders,” Antenny, No. 3 (130), 57–62 (2008).",{},{"id":20,"text":1108,"url":20,"identifiers":1109},"A. S. Saidov, A. R. Tagilaev, N. M. Aliev, and G. K. Aslanov, Design of Phase Automatic Direction Finders, Radio i Svyaz, Moscow (1997).",{},{"id":20,"text":1111,"url":20,"identifiers":1112},"V. G. Repin and G. P. Tartakovskii, Statistical Synthesis with a Priori Uncertainty and Adaptation of Information Systems, Sov. Radio (1977).",{},{"id":1114,"text":1115,"url":1116,"identifiers":1117},"1b0ad6e2-458f-4d46-a088-376700bc19a1","V. I. Kostylev and M. P. Slichenko, “Energy detection of partially polarized radio signals against the background of gaussian noise,” Radiophys. Quant. Electron., 53, No 2, 721–731 (2011), DOI: https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11141-011-9265-9.","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11141-011-9265-9",{"doi":1118},"10.1007\u002Fs11141-011-9265-9",{"id":20,"text":1120,"url":1121,"identifiers":1122},"V. I. Kostylev and O. V. Polozova, “Classification of shadow signals created by moving objects,” Radioelectr. Communic. Syst., 54, No. 5, 241–247 (2011), DOI: https:\u002F\u002Fdoi.org\u002F10.3103\u002FS0735272711050025.","https:\u002F\u002Fdoi.org\u002F10.3103\u002Fs0735272711050025",{"mag":1123,"openalex":1124,"doi":1125},"2163140510","W2163140510","10.3103\u002Fs0735272711050025",{"id":20,"text":1127,"url":1128,"identifiers":1129},"A. P. Trifonov, V. I. Kostylev, and M. P. Slichenko, “Potential accuracy of joint signal parameters estimates for a small-sized target in a bistatic radar system,” Radioelectr. Communic. Syst., 54, No. 10, 521–529 (2011), DOI: https:\u002F\u002Fdoi.org\u002F10.3103\u002FS0735272711100013.","https:\u002F\u002Fdoi.org\u002F10.3103\u002Fs0735272711100013",{"mag":1130,"openalex":1131,"doi":1132},"2012663756","W2012663756","10.3103\u002Fs0735272711100013",{"id":1134,"text":1135,"url":1136,"identifiers":1137},"a14ab999-0b39-42e4-b548-618e802fec0e","A. P. Trifonov, Y. E. Korchagin, and P. Kondratovich, “Estimation of the appearance and disappearance times of unknown- amplitude signals,” Radiophys. Quant. Electron., 55, No. 6, 413–428 (2012), DOI: https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11141-012-9378-9.","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs11141-012-9378-9",{"doi":1138},"10.1007\u002Fs11141-012-9378-9",{"id":1140,"text":1141,"url":1142,"identifiers":1143},"9115f16e-ecbc-43a1-8db5-cdea96c7a398","V. I. Kostylev and M. P. Slichenko, “Adaptive energy detection of quasi-deterministic signals in the presence of the non-Gaussian noise,” J. Communic. Technol. Electron., 56, No. 6, 649–655 (2011), DOI: https:\u002F\u002Fdoi.org\u002F10.1134\u002FS1064226911060118.","http:\u002F\u002Flink.springer.com\u002F10.1134\u002FS1064226911060118",{"doi":1144},"10.1134\u002Fs1064226911060118",{"id":20,"text":1146,"url":1147,"identifiers":1148},"A. P. Trifonov, Y. E. Korchagin, P. A. Kondratovich, and M. V. Trifonov, “Amplitude estimation of signal with unknown duration,” Radioelectr. Communic. Syst., 55, No. 9, 385–392 (2012), DOI: https:\u002F\u002Fdoi.org\u002F10.3103\u002FS0735272712090014.","https:\u002F\u002Fdoi.org\u002F10.3103\u002Fs0735272712090014",{"mag":1149,"openalex":1150,"doi":1151},"2041641001","W2041641001","10.3103\u002Fs0735272712090014",{"id":20,"text":1153,"url":1154,"identifiers":1155},"Yu. E. Korchagin, “Single-threshold serial algorithm for detecting signals with unknown amplitudes and durations,” Radiophys. Quant. Electron., 55, No. 12, 719–727 (2012), DOI: https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11141-013-9410-8.","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11141-013-9410-8",{"mag":1156,"openalex":1157,"doi":1158},"1970243408","W1970243408","10.1007\u002Fs11141-013-9410-8",{"id":1160,"text":1161,"url":1162,"identifiers":1163},"8c2074a8-21ec-4e6c-a4fd-8d8cd9fd8837","A. P. Trifonov, K. A. Zimovets, and Yu. E. Korchagin, “Characteristics of quasi-likelihood estimation of the image area in the presence of spatial noise,” Radioelectr. Communic. Syst., 56, No. 3, 147–154 (2013), DOI: https:\u002F\u002Fdoi.org\u002F10.3103\u002FS0735272713030060.","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.3103\u002FS0735272713030060",{"doi":1164},"10.3103\u002FS0735272713030060",{"id":20,"text":1166,"url":1167,"identifiers":1168},"A. P. Trifonov, K. A. Zimovets, and Y. E. Korchagin, “Efficiency of optimal joint detection and estimation of image areas with spatial noise,” Optoelectr., Instrum. Data Proc., 49, No. 3, 221–227 (2013), DOI: https:\u002F\u002Fdoi.org\u002F10.3103\u002FS8756699013030023.","https:\u002F\u002Fdoi.org\u002F10.3103\u002Fs8756699013030023",{"mag":1169,"openalex":1170,"doi":1171},"2009968902","W2009968902","10.3103\u002Fs8756699013030023",{"id":20,"text":1173,"url":1174,"identifiers":1175},"A. P. Trifonov, Yu. E. Korchagin, M. V. Trifonov, et al., “Amplitude Estimate of the radio signal with unknown duration and initial phase,” Appl. Math. Sci., 8, No. 111, 5517–5528 (2014), DOI: https:\u002F\u002Fdoi.org\u002F10.12988\u002Fams.2014.47588.899","https:\u002F\u002Fdoi.org\u002F10.12988\u002Fams.2014.47588",{"mag":1176,"openalex":1177,"doi":1178},"2513075421","W2513075421","10.12988\u002Fams.2014.47588",{"id":20,"text":1180,"url":1181,"identifiers":1182},"Yu. E. Korchagin, O. V. Chernoyarov, A. A. Makarov, and B. I. Shakhtarin, Proc. 2nd World Symp. on Web Applications and Networking, WSWAN’2015, Tunisia, Sousse (2015), pp. 128–131, DOI: https:\u002F\u002Fdoi.org\u002F10.1109\u002FWSWAN.2015.7210323.","https:\u002F\u002Fdoi.org\u002F10.1109\u002FWSWAN.2015.7210323",{"doi":1183},"10.1109\u002FWSWAN.2015.7210323",{"id":20,"text":1185,"url":1186,"identifiers":1187},"A. P. Trifonov, Y. E. Korchagin, O. V. Chernoyarov, and B. I. Shakhtarin, “Detection of radio signals that appear and disappear at unknown moments,” J. Communic. Technol. Electron., 60, No. 4, 375–385 (2015), DOI: https:\u002F\u002Fdoi.org\u002F10.7868\u002F S0033849415040142.","https:\u002F\u002Fdoi.org\u002F10.1134\u002Fs1064226915040130",{"mag":1188,"openalex":1189,"doi":1190},"1982156379","W1982156379","10.1134\u002Fs1064226915040130",{"id":20,"text":1192,"url":1193,"identifiers":1194},"A. V. Mashkov and V. N. Pozhidaev, “Numerical modeling of the distribution of the low-frequency fi eld created by the transmitting frame antenna mounted on board a spacecraft,” Radiotekhn. Electron., 64, No. 9, 866–873 (2019), DOI: https:\u002F\u002Fdoi.org\u002F10.1134\u002FS0033849419080126.","https:\u002F\u002Fdoi.org\u002F10.1134\u002FS0033849419080126",{"doi":1195},"10.1134\u002FS0033849419080126",{"id":1197,"createTime":1198,"updateTime":1199,"relativeEntities":1200,"slug":1201,"properties":1202,"entityType":237,"verifyStatus":382,"verifyTime":1213,"verifyNote":384,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1214,"fullTextUrl":20,"authors":1215,"publicationType":308,"publisherRelationship":1242,"citationCount":21,"citationInfo":1293,"publishDate":1296,"publishYear":1294,"citationAnalyzeStatus":19,"lastCitationAnalyze":1297,"indexDatabases":1298,"openAccess":20,"references":20,"isForceReanalyzing":364},"eaa6c5b5-d52e-4f92-812e-17e711b5145b","2024-01-18T23:53:26.373+00:00","2026-07-23T13:43:37.719+00:00",[],"Robust-Filtering-Algorithms-for-Roughness-Profiles",{"abstract":1203,"title":1205,"gsPaper":1207,"references":1209,"doi":1211},{"EN":1204},"Algorithms for robust filtering of surface roughness profiles are discussed which can be used to reject random outliers from measurement data and to study the features of surfaces with stratified properties. The shortcomings of the traditional Gaussian filters are analyzed. Examples are presented of algorithms applied to robust Gaussian and spline regression filtering.",{"EN":1206},"Robust Filtering Algorithms for Roughness Profiles",{"VOID":1208},"[\"14135542417442775076\"]",{"VOID":1210},"ISO 11562:1996, Geometrical Characteristics of Equipment (GPS). Surface Structure. Profile Method. Metrological Characteristics of Filters with Phase Correction.\nISO 16610-21:2011, Geometrical Product Specifications. Filtration. Part 21: Linear Profile Filters: Gaussian Filters.\nGOST R 8.652-2009, Metrological Characteristics of Phase Corrected Filters.\nISO 13565-1:1996, Geometrical Product Specifications. Surface Texture: Profile Method; Surfaces Having Stratified Functional Properties. Part 1: Filtering and General Measurement Conditions.\nX. Jiang, “Robust solution for the evaluation of stratified surfaces,” CIRP – Annals Manuf. Technol., 59, No. 1, 573–576 (2010).\nA. Savitzky and M. J. E. Golay, “Smoothing and differentiation of data by simplifi ed least-squares procedures,” Anal. Chem., 36, No. 8, 1627–1639 (1964).\nJ. Seewig, “Linear and robust gaussian regression filters,” J. Physics: Conf. Ser., 13, 254–257 (2005).\nISO\u002FTS 16610-31:2010, Geometrical Product Specification (GPS). Filtration. Part 31: Robust Profile Filters: Gaussian Regression Filters.\nM. Krystek, “Form filtering by splines,” Measurement, 18, 9–15 (1996).\nT. Goto, J. Miyakura, and K. Umeda, “A robust spline filter on the basis of L2-norm,” Precis. Eng., 29, 151–161 (2005). 735\nISO\u002FTS 16610-22:2006, Geometrical Product Specification (GPS). Filtration. Part 22: Linear Profile Filters: Spline Filters.\nISO\u002FTS 16610-32.2009, Geometrical Product Specification. Filtration. Part 32: Robust Profile Filters: Spline Filters.\nISO\u002FTS 16610-40:2006, Geometrical Product Specifications. Filtration. Part 40: Morphological Profile Filters: Basic Concepts.\nI. V. Latonov and A. V. Shulepov, “A method for contactless evaluation of the roughness of a surface from a digital image formed by the optical system of a measurement microscope,” Vestn. MGTU Stankin, No. 1, 141–145 (2013).\nS. G. Konov and B. N. Markov, “Algorithm for correction of errors from perspective distortions of images from measurement markers,” Metrologiya, No. 3, 8–15 (2011).",{"VOID":1212},"10.1007\u002Fs11018-015-0784-1","2024-05-30T11:19:23.160+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11018-015-0784-1",[1216,1229],{"id":1217,"sortIndex":21,"researcher":20,"roles":1218,"affiliations":1219,"properties":1226,"displayName":1228,"givenName":20,"familyName":20},"0ad693d7-fc9f-49d5-b47d-ff4b4393081a",[245],[1220],{"id":539,"sortIndex":21,"affiliation":1221,"properties":20},{"id":539,"createTime":20,"updateTime":20,"relativeEntities":1222,"slug":20,"properties":1223,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":1225,"statistic":20},[],{"title":1224},{"VI":544},[],{"title":1227},{"VI":1228},"B. N. Markov",{"id":1230,"sortIndex":260,"researcher":20,"roles":1231,"affiliations":1232,"properties":1239,"displayName":1241,"givenName":20,"familyName":20},"7149b7ef-9108-42b7-8d3b-f13bec3eae27",[245],[1233],{"id":539,"sortIndex":21,"affiliation":1234,"properties":20},{"id":539,"createTime":20,"updateTime":20,"relativeEntities":1235,"slug":20,"properties":1236,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":1238,"statistic":20},[],{"title":1237},{"VI":544},[],{"title":1240},{"VI":1241},"A. V. Shulepov",{"url":1214,"publisher":1243,"properties":1289},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1244,"slug":10,"properties":1245,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1249,"manageAffiliations":1258,"indexDatabases":1269,"url":87,"thumbnailPath":20,"statistic":1284,"gsStatistic":20,"type":216,"analyzePriority":20},[],{"issn":1246,"title":1247,"eissn":1248},{"VOID":13},{"EN":15},{"VOID":17},[1250,1254],{"id":24,"createTime":20,"updateTime":20,"relativeEntities":1251,"label":1252,"description":1253,"parentId":20,"standard":20,"scholarHubFieldId":20},[],{"EN":27},{},{"id":30,"createTime":20,"updateTime":20,"relativeEntities":1255,"label":1256,"description":1257,"parentId":20,"standard":20,"scholarHubFieldId":20},[],{"EN":33},{},[1259,1264],{"id":37,"createTime":20,"updateTime":20,"relativeEntities":1260,"slug":20,"properties":1261,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":1263,"statistic":20},[],{"title":1262},{"EN":41},[43],{"id":45,"createTime":20,"updateTime":20,"relativeEntities":1265,"slug":20,"properties":1266,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":1268,"statistic":20},[],{"title":1267},{"EN":49},[],[1270,1277],{"id":53,"indexDatabase":1271,"url":64,"indexYears":65,"academicFieldIds":1276,"indexDatabaseRanking":69},{"id":55,"createTime":20,"updateTime":20,"relativeEntities":1272,"label":1273,"description":1274,"key":61,"publicationTags":1275,"standard":20},[],{"EN":58,"VI":58},{"EN":58,"VI":60},[63],[67,68],{"id":71,"indexDatabase":1278,"url":84,"indexYears":20,"academicFieldIds":1283,"indexDatabaseRanking":20},{"id":73,"createTime":20,"updateTime":20,"relativeEntities":1279,"label":1280,"description":1281,"key":80,"publicationTags":1282,"standard":20},[],{"EN":76,"VI":76},{"EN":78,"VI":79},[82,83],[86],{"impactFactor":21,"impactFactorByYear":1285,"i10Index":97,"i10IndexLast5Year":98,"totalPublication":99,"totalPublicationByYear":1286,"totalCitation":162,"totalCitationByYear":1287,"totalCitationPerPublication":95,"totalCitationPerPublicationByYear":1288,"hindexLast5Year":172,"hindex":172},{"2012":90,"2013":91,"2014":92,"2015":91,"2016":92,"2017":93,"2018":90,"2019":93,"2020":94,"2021":95,"2022":96,"2023":95},{"1958":101,"1959":102,"1960":103,"1961":104,"1962":105,"1963":106,"1964":107,"1965":108,"1966":109,"1967":110,"1968":111,"1969":112,"1970":113,"1971":114,"1972":115,"1973":116,"1974":117,"1975":118,"1976":119,"1977":120,"1978":121,"1979":122,"1980":123,"1981":124,"1982":125,"1983":126,"1984":127,"1985":128,"1986":106,"1987":125,"1988":129,"1989":130,"1990":131,"1991":132,"1992":133,"1993":134,"1994":135,"1995":136,"1996":137,"1997":138,"1998":139,"1999":140,"2000":101,"2001":141,"2002":142,"2003":143,"2004":144,"2005":145,"2006":146,"2007":147,"2008":148,"2009":149,"2010":137,"2011":146,"2012":150,"2013":151,"2014":152,"2015":153,"2016":154,"2017":155,"2018":101,"2019":156,"2020":157,"2021":158,"2022":159,"2023":160,"2024":161},{"1959":164,"1960":165,"1961":166,"1962":166,"1963":165,"1964":166,"1965":167,"1966":168,"1967":169,"1968":166,"1969":165,"1970":165,"1971":165,"1972":165,"1973":98,"1974":168,"1975":170,"1976":166,"1977":164,"1978":171,"1979":172,"1980":173,"1981":171,"1982":171,"1983":170,"1984":171,"1985":174,"1986":175,"1987":166,"1988":176,"1989":177,"1990":174,"1991":165,"1992":178,"1993":179,"1994":175,"1995":97,"1996":177,"1997":166,"1998":166,"1999":180,"2000":180,"2003":175,"2004":175,"2005":181,"2006":182,"2007":183,"2008":184,"2009":185,"2010":181,"2011":186,"2012":187,"2013":188,"2014":189,"2015":190,"2016":191,"2017":192,"2018":184,"2019":193,"2020":194,"2021":195,"2022":175,"2023":98},{"1959":197,"1960":198,"1961":199,"1962":199,"1963":198,"1964":198,"1965":91,"1966":199,"1967":200,"1968":199,"1969":199,"1970":199,"1971":199,"1972":199,"1973":21,"1974":199,"1975":198,"1976":199,"1977":197,"1978":197,"1979":198,"1980":21,"1981":199,"1982":199,"1983":92,"1984":199,"1985":93,"1986":92,"1987":198,"1988":201,"1989":91,"1990":90,"1991":198,"1992":90,"1993":95,"1994":91,"1995":201,"1996":95,"1997":90,"1998":90,"1999":201,"2000":201,"2003":95,"2004":202,"2005":203,"2006":204,"2007":205,"2008":206,"2009":207,"2010":208,"2011":209,"2012":210,"2013":211,"2014":212,"2015":213,"2016":206,"2017":213,"2018":207,"2019":214,"2020":210,"2021":200,"2022":215,"2023":199},{"pages":1290,"volume":1292},{"VOID":1291},"730-735",{"VOID":658},{"total":21,"publishYear":1294,"statisticByYear":1295},2015,{},"2015-10-15","2026-07-23T13:43:37.718+00:00",[69,82],{"id":1300,"createTime":1301,"updateTime":1302,"relativeEntities":1303,"slug":1304,"properties":1305,"entityType":237,"verifyStatus":382,"verifyTime":1316,"verifyNote":384,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":13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technique of computerization of white-light contact interferometers intended for calibration of reference end gauges and other objects in the range 0.1–1000 mm with resolution 0.001 µm is considered. Results are presented from studies of contact interferometers based on digital processing of interference images with the use of corresponding mathematical software.",{"EN":1309},"Computerization of white-light contact interferometers based on optical image processing",{"VOID":1311},"[\"5288719803092941327\"]",{"VOID":1313},"M. Born and E. Wolf, Foundations of Optics [in Russian], Nauka, Moscow (1970).\nMI 2060-90, State System for Assurance of Uniformity of Measurements, State Measurement Chain for Means of Measuring Length in the Range 1·10 −6 −50 m and Wavelengths in the Range 0.2–50 µm [in Russian].\nA. G. Ivanov, Measurement Devices in Mechanical Engineering [in Russian], Izd-vo Standartov, Moscow (1981).\nV. N. Vasil’ev and I. P. Gurov, Computer Processing of Signals with Applications to Interferometric Systems, BkhV–St. Petersburg, St. Petersburg (1998).\nA. N. Korolev and A. I. Gartsuev, Izmer. Tekh., No. 5, 20 (2004).\nV. I. Teleshevsky, A. V. Bogomolov, and V. N. Galkin, Proc. SPIE, 5381, 194 (2003).\nA. V. Bogomolov, Vest. Komp. Informats. Tekhnol., No. 5, 18 (2005).",{"VOID":1315},"10.1007\u002Fs11018-006-0170-0","2024-06-27T01:11:23.394+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11018-006-0170-0",[1319,1334],{"id":1320,"sortIndex":21,"researcher":20,"roles":1321,"affiliations":1322,"properties":1331,"displayName":1333,"givenName":20,"familyName":20},"cf25bc37-5413-4a0f-a5d0-603ad1515686",[245],[1323],{"id":1324,"sortIndex":21,"affiliation":1325,"properties":20},"bee69062-10e4-45e9-b946-3073e471d19f",{"id":1324,"createTime":20,"updateTime":20,"relativeEntities":1326,"slug":20,"properties":1327,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":1330,"statistic":20},[],{"title":1328},{"VI":1329},"Stankin State Technological University, Moscow",[],{"title":1332},{"VI":1333},"V. I. 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An algorithm that generates background patterns and the features in the adaptation of the parameters of the patterns to the conditions of a particular experiment are presented. The influence of the basic parameters of the particular plant on the method is investigated by means of computer simulation as well as experimentally.",{"EN":1413},"An investigation of the error of the background schlieren method",{"VOID":1415},"[\"8173776194455475295\"]",{"VOID":1417},"G. E. A. Meier, “Computerized background-oriented schlieren,” Exper. Fluids, 33, 181 (2002).\nA. F. Belozerov, Optical Methods for Visualization of Gas Flows [in Russian], Kazan (2007).\nH. Richard et al., “Demonstration of the applicability of a Background Oriented Schlieren (BOS) method,” in: Proc. 10th Int. Symp. Applications of Laser Techniques to Fluid Mechanics, Lisbon, Springer, New York (2000).\nE. M. Popova, A. V. Tolkachev, and N. M. Skornyakova, “Application of background oriented schlieren method to the study of natural convection,” in: Optical Methods for the Study of Flow: Proc. 7th Int. Sci.-Techn. Conf., Izd. MEI, Moscow (2003), p. 126.\nT. Klinge, T. Kirmse, and J. Kompenhans, “Application of quantitative background oriented schlieren (BOS): Investigations of a wing tip vortex in a transonic wind tunnel,” in: Proc. PSFVIP-4 June 3–5, 2003, Chamonix, France (2003), p. 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               Reasons for the creation and modernization of standards are discussed. Priority areas for metrological activity in the Russian Federation within the framework of the state system for support of the uniformity of measurements are examined. An algorithm is proposed for evaluating the need to create and modernize standards in accordance with a number of criteria.\n              ",{"EN":1531},"Criteria and Algorithm for Integrated Evaluation of the Need to Create and Modernize Standards",{"VOID":1533},"[\"5601344638097063881\"]",{"VOID":1535},"J. A. Birch, Benefit of Legal Metrology for the Economy and Society: A Study for the International Committee of Legal Metrology, Paris (2003), www.oiml.org\u002Fen\u002Ffiles\u002Fpdf_e\u002Fe002-e03.pdf, accessed 10.18.2014.\nP. A. Don Vito, Estimates of the Cost of Measurement in the U. S. Economy, Planning Report 21, NBS, pp. 1–42.\nG. Williams, The Assessment of the Economic Role of Measurements and Testing in Modern Society. European Measurement Project, Pembroke College, Oxford Univ. 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Final Report, CIPM, Sevres, France, KPMG Consulting (2002), www.bipm.org\u002Futils\u002Fcommon\u002Fpdf\u002FKPMG_report.pdf, accessed 10.18.2014.\nAgreement on the Mutual Recognition of National Measurement Standards and Certification of Calibration and Measurements Issued by National Metrological Institutes (Mutual Recognition Arrangement, MRA), Sevres, France (1999).\nFederal Law No. 102-FZ of the Russian Federation, On Ensuring the Uniformity of Measurements, June 26, 2008.\nDecree No. 529 of the Ministry of Industry and Trade of the Russian Federation, On Approval of the Strategy for Ensuring the Uniformity of Measurements in Russia to 2015, June 17, 2009.\nOrder No. 2539-r of the Government of the Russian Federation, On the State Program of the RF on Development of Industry and Increasing Its Competitiveness, Subprogram 12, Development of a System for Technical Regulation, Standardization, and Ensuring the Uniformity of Measurements, Dec. 27, 2012.\nDecree No. 1360 of Rosstandart, On Approval of the Departmental Targeted Program on Conduct of Basic Research in the Area of Metrology and the Development of National (including primary) Standards for the Units of Quantities, Sept. 19, 2014.\nV. 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