Evaluation Analysis of Transformer Substation Radiation on Surrounding Environment
|
|
- Lilian Bell
- 5 years ago
- Views:
Transcription
1 6 rd Internatonal Conference on Engneerng Technology and Applcaton (ICETA 6) ISBN: Evaluaton Analyss of Transformer Substaton Radaton on Surroundng Envronment Ynmng Zhang North Chna Electrc Power Unversty, Baodng, Hebe, Chna Pengju Wang Dongbe Unversty of Fnance and Economcs, Dalan, Laonng, Chna ABSTRACT: At frst, ths thess screened out the ndexes to evaluate the radaton that transformer substaton has on the surroundng envronment. Secondly, t conducted nondmensonalzaton and made grey relatonal analyss of the evaluaton ndexes and results to obtan the judgment matrx. Then, ths thess used fuzzy-analytcal herarchy model to obtan ndex weght and obtaned the man evaluaton ndexes at last, provdng theoretcal foundaton for the analyss of the radaton that transformer substaton has on the surroundng envronment. Keywords: transformer substaton, radaton, herarchy analyss, grey relatonal analyss INTRODUCTION Transformer substaton s a place to change voltage. In order to reduce energy loss durng power transmsson, hgh voltage needs to be used n dstance transmsson. In Chna, normal dstance transmsson voltage wthn km s kv whle kv wll be needed for a further dstance. Transformer substaton s used to reduce voltage and transmt t ndoor. In urban areas or boundares, kv transformer substaton reduces voltage to kv and transmts t to kv transformer substaton. The rest can be done n the same manner; kv transformer substaton reduces voltage to kv and transmts t to transformer substatons around communtes. Then, voltage wll be reduced to 8/v, and thus, resdents can use the voltage. Therefore, the swtch center of every cty power supply system s transformer substaton. However, current transformer substatons are facng the problem of constructon. More and more people are aganst buldng transformer substatons nsde the cty. They are manly worred about radaton threat. In fact, ths threat s very weak. Even f voltage of a transformer substaton s very hgh, ts radaton may be even lower than that of a cellphone. In order to further analyze the radaton problem of transformer substaton and elmnate people s msunderstandng, ths thess appled nondmensonalzaton, grey relatonal analyss, and fuzzy-analytcal herarchy model to make scentfc analyss on ths problem. GREY RELATIONAL ANALYSIS Accordng to the selected data (see Table ), ths thess obtaned the relaton between each ndex and the evaluaton results by research. As there was no obvous relaton between each ndex and scores of evaluaton results, ths thess made pcture processng on these data and obtaned the followng scatter dagram (See Fgure ). Fgure. Scatter dagram. 6
2 At the begnnng, ths thess obtaned a model wth herarchcal structure by makng the problem herarchcal and systematc. Then, the problem was conssted of processed decomposton elements. Based on element property and relaton, the elements formed multple herarches among whch crterons control- Irradated area Dfferent populatons Heat dsspaton Table. Each ndex and scores of preferred schemes. Magnetc feld Envronmental temperature and mosture Electrc feld Electromagnetc wave Total feld Evaluaton result Specfc analyss procedures of grey relatonal analyss are as follows: () Decde comparson objects (evaluaton objects) and reference array (evaluaton standards). Set there are m evaluaton objects and n evaluaton ndexes. The reference array s xn={xn(k) k=,,,n} and the comparson array s x ={x(k) k=,,,n}, =,,,m. () Confrm correspondng weght of each ndex value. Herarchy analyss can be used to confrm the weght of each ndex. w = [w, w,, w n ] and w k (k=,,,n) refers to the correspondng weght of No. k ndex. () Calculate grey relatonal coeffcent: k xkx k max max xkx k k max max mn mn k x k x k x k x k k In whch k refers to the relatonal coeffcent between techncal statstcs and comparson herarchy. mn mn x k x k and max max x k x k refer k k to the two-stage mnmum dfferental and the two-stage maxmum dfferental respectvely. In general, the bgger coeffcent ρ s, the hgher resoluton rato wll be; the smaller ρ s, the lower resoluton rato wll be. (4) Calculate grey weghted relaton. The calculaton formula of grey weghted relaton s r w k, n k n whch r refers to the grey weghed relaton of No. evaluaton object to ts deal object. () Analyze evaluaton objects. Accordng to the obtaned values of grey relaton, we sorted all evaluaton objects and obtaned ther relatonal sequence. The results show that evaluaton results are proportonal to relatonal sequence. As there were dfferent dmensons contaned n the data of Table, we needed to calculate the same dmensons of data durng calculaton process. Thus, we used nondmensonalzaton to process these data. The followng method was appled for converson: Set the orgnal number sequence as X=(x(),x(),,x(n)). Then, the ntalzed sequence s x() xn ( ) X (,,, ) x() x(). Therefore, t s obvous that the ntalzed sequence cannot meet the requrement of nondmensonalzaton. See detals n Table. Table. Processed data. Irradated area Dfferent populatons Heat dsspaton Magnetc feld Envronmental Temperature and mosture Electrc feld Electromagnetc wave Total feld Evaluaton result Then, ths thess conducted grey relatonal analyss of the eght ndexes of the radaton that transformer substaton has on the surroundng envronment. The formulas of relatonal analyss are as follows: s s s n n s s s x s s s k k n k x k x k x n x n k x ns x k x n The followng results were obtaned from grey theory software: Preferred Scheme Irradated area. Dfferent populatons.68 Heat dsspaton.68 Magnetc feld.4 Magnetc feld.8 Electrc feld. Total feld.4 Total feld.8 FUZZY-ANALYTICAL HIERARCHY MODEL
3 lng related elements of lower herarches were composed of hgher herarches. The model manly ncludes three herarches: ) The top herarchy There s only one element n ths herarchy. As t s the preset target for analyss of excellent desgn scheme, t s also called the target herarchy. ) The ntermedate herarchy Ths herarchy s composed of several herarches. As t contans all the crterons and sub-crterons, t s also called the crteron herarchy. ) The bottom herarchy Ths herarchy s composed of all methods to realze the target. It s also called the scheme herarchy (or measure herarchy). In general, herarchy quantty of the model can be free selected. However, t s closely related to the dffculty level of the problem you want to solve. It s wdely known that for each herarchy, t s better to keep the element quantty controlled by each element of the model less than nne. If t exceeds nne, too many elements n control can make t hard to make parwse comparson and judgment.. Construct judgment matrx Accordng to the quanttatve trend shown n the fractonal change of herarchcal structure, we have found there were three crteron factors whch led to the changes. However, durng the trade-off process of decdng target, the proportons of the factors correspondng to all the crterons n the crteron herarchy were dfferent. Therefore, ths thess appled weght analyss to process these eght ndexes. It s hard to make quanttatve analyss of the proporton that nfluental factors of fracton amount possess n the total populaton. Besdes, too many nfluental factors can result n neglgence or ncomprehensve consderaton and make t mpossble to thoroughly thnk about the mpact that each factor has on one element. Thus, we may obtan data of lttle mportance or a seres of conflctng data. In order to avod the error, we assume that a kg stone can be broken down nto n peces. We can measure the weghts of all the peces and set them as w,,w n. Now, please ask someone to estmate the proporton that weght of these n peces that n the total weght (do not let hm know the weght of each pece). It s not only hard for hm to gve an accurate proporton; but s also very lkely for hm to provde contradctory data. Assume we need to compare the nfluental degrees that n factors X={x,,xn} have on Z, how to provde relable data? Saaty et al. have suggested to make parwse comparson among the factors to establsh parwse comparson matrces, that s to take two factors x and xj. Use aj to express the rato between the nflucencal degrees that these two factors have on Z. Use A=(aj)n n to express all comparson results. A refers to the parwse comparson judgment matrx between Z-A (abbrevated as judgment matrx). It s easly to see that f the rato between the nfluental degrees that x and xj have on Z s aj, the rato between the nfluental degrees that xj and x have on Z shall be a j. aj Defnton If matrx A=(aj)n n can meet () aj>, () a j (,j =,,,n), t s called a postve and aj negatve matrx (easy to see a=, =,,n). Ths thess used scale (-) and recprocal to obtan the value of aj. Scale,4,6,8, Recprocal Table. Connotaton of scales. Connotaton By comparson, the two factors contan the same mportant. By comparson, the former s slghtly more mportant that the latter. By comparson, the former s obvously more By comparson, the former s much more By comparson, the former s extremely more It refers to the medan of adjacent judgment mentoned above. If the mportance rato between factor and factor j s aj, the mportance rato between factor j and factor s aj = / aj. Accordng to psychologcal analyss, we have found that the segmented herarches cannot be too many; or they wll weaken our judgment and thus make t more complcated to judge. By conductng actual experment, ths thess studed the accuracy of our judgment n stuaton wth multple dmensons. The results show that to scales are approprate. It should be ponted out at last that t s generally necessary to make parwse comparson judgment for nn tmes. Some regard t s enough to compare all elements wth one element and thus only (n-) tmes of comparson wll be approprate. The weakness of ths means s obvous. Once a judgment s wrong, the whole sequence obtaned wll be wrong. Moreover, there wll always have mnor wrong judgments n nn quanttatve analyss system. tmes of comparson can provde more nformaton. A reasonable sequence can be derved from repeated comparson from dfferent perspectves.. Consstency check of judgment matrx max n () Calculate consstence ndex CI: CI n () Search for correspondng average random con- 8
4 sstency ndex RI. Saaty provded the values of RI to n=,, as shown n Table 4. Table 4. RI Value. n RI Random method was appled to buld sample matrces to obtan the values of RI: extract numbers randomly from to and ther recprocals to construct straght recprocal matrces to obtan the average value of the largest egenvalue ' ' n max. Defne RI max. n CI () Calculate consstency rato CR: CR. When RI CR <., t s regarded as the consstency of the judgment matrx s acceptable; or, approprate modfcaton wll be needed for the judgment matrx.. Modelng The scorng judgment matrces were obtaned accordng to relatons between each ndex and the evaluaton results: Table. Scorng Judgment Matrces Establsh herarchy structure (see Fgure ): Fgure. Analytcal herarchy structure chart. Use matlab software to calculate the scorng weght of each nfluental factor of the data gven n Table 6. See Table for the results. Table. Weght result Result analyss Accordng to the results obtaned n the above analytc herarchy process, t can be seen that the factors wth hgh weght nclude total feld, electromagnetc wave frequency, electrc feld, and magnetc, showng that these four factors can be used to analyze the radaton that transformer substaton has on the surroundng envronment.. Applcaton Accordng to the four ndexes, ths thess conducted electromagnetc radaton survey on the kv power transmsson lne between No. tower and No. tower n Bnshu West Road of unversty town n Xqng Dstrct of Tanjn. See the dstrbuton graph as follows: Irradated area Dfferent populatons Heat dsspaton Magnetc feld Table 6. Relevant data. Envronmental temperature and mosture Electrc feld Electromagnetc wave Total feld Evaluaton result
5 Table 8. Measurement results. No. Electrc Feld Magnetc Feld Total Feld Intensty X Y Z X Y Z Electrc Feld Magnetc Feld Among whch, between No.4 pont and No.8 pont, there s an nterval of 8m between every two ponts; and between No.8 pont and No.8 pont, there s an nterval of 4m between every two ponts. The heght above ground s m wth temperature of C and humdty of 8 C. See measurement results n Table 8. Result analyss: below the kv power transmsson lne between No. tower and No. tower of Bnshu West Road s a pavement. The dstance between the lne and the pavement s long. The power frequency electrc feld and magnetc feld below the lne can both meet correspondng natonal standards. See the dstrbuton of power frequency electrc feld as follows: CONCLUSIONS Ths thess frst establshed eght evaluaton ndexes for the problem, and then constructed fuzzy-analytcal herarchy model based on t. By applyng MATLAB software, four man evaluaton ndexes whch nfluenced evaluaton results were obtaned: electromagnetc feld, electromagnetc wave frequency, oscllaton nature, and contnuous rradaton tme. At last, t conducted electromagnetc radaton survey on the kv power transmsson lne between No. and No. towers on the Bnshu West Road of unversty town n Xqng Dstrct of Tanjn. The obtaned results can meet correspondng natonal standards. REFERENCES [] Lu, D.G. & Gao, J.J.. Analyss of kv transformer substaton electromagnetc radaton nfluence on envronment. Journal of Shenyang Lgong Unversty, (6): -8. [] Gu, X.Y. 8. Emprcal research on transformer substaton electromagnetc radaton nfluence on envronment. Electrcal Engneerng, (8): [] Zheng, Y. & L, G.M.. Analyss of transformer substaton electromagnetc nfluence on envronment. Envronment, (S): -. [4] Fu, Y.D.. Exploraton and analyss of transformer substaton electromagnetc nfluence on envronment--takng Qngnan transformer substaton as an example. Envronmental Scence and Management, (): -8. [] Chen, B.C., Wu, H.T. & Xu, M.F. 4. Envronment mpact analyss of urban ndoor transformer substaton electromagnetc radaton. Envronmental Scence and Management, (): 8-8. [6] Zhao, H., Luo, H., We, R.H. & Zeng, J.T. 6. Influence of urban hgh voltage transformer substaton electromagnetc radaton on surroundng resdent lfe and envronment. Guangdong Electrc Power, (): -. [] Huang, C.F. & Wu, J.P.. Methods of montorng envronment electromagnetc radaton. Envronmental Study and Montorng, (4):
Orientation Model of Elite Education and Mass Education
Proceedngs of the 8th Internatonal Conference on Innovaton & Management 723 Orentaton Model of Elte Educaton and Mass Educaton Ye Peng Huanggang Normal Unversty, Huanggang, P.R.Chna, 438 (E-mal: yepeng@hgnc.edu.cn)
More informationComparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method
Appled Mathematcal Scences, Vol. 7, 0, no. 47, 07-0 HIARI Ltd, www.m-hkar.com Comparson of the Populaton Varance Estmators of -Parameter Exponental Dstrbuton Based on Multple Crtera Decson Makng Method
More informationUncertainty in measurements of power and energy on power networks
Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:
More informationOperating conditions of a mine fan under conditions of variable resistance
Paper No. 11 ISMS 216 Operatng condtons of a mne fan under condtons of varable resstance Zhang Ynghua a, Chen L a, b, Huang Zhan a, *, Gao Yukun a a State Key Laboratory of Hgh-Effcent Mnng and Safety
More informationA Hybrid Evaluation model for Distribution Network Reliability Based on Matter-element Extension Method
Advanced Scence and Technology Letters Vol.74 (ASEA 204), pp.87-95 http://dx.do.org/0.4257/astl.204.74.7 A Hybrd Evaluaton model for Dstrbuton Network Relablty Based on Matter-element Extenson Method Huru
More informationRegulation No. 117 (Tyres rolling noise and wet grip adhesion) Proposal for amendments to ECE/TRANS/WP.29/GRB/2010/3
Transmtted by the expert from France Informal Document No. GRB-51-14 (67 th GRB, 15 17 February 2010, agenda tem 7) Regulaton No. 117 (Tyres rollng nose and wet grp adheson) Proposal for amendments to
More informationSpatial Statistics and Analysis Methods (for GEOG 104 class).
Spatal Statstcs and Analyss Methods (for GEOG 104 class). Provded by Dr. An L, San Dego State Unversty. 1 Ponts Types of spatal data Pont pattern analyss (PPA; such as nearest neghbor dstance, quadrat
More informationPulse Coded Modulation
Pulse Coded Modulaton PCM (Pulse Coded Modulaton) s a voce codng technque defned by the ITU-T G.711 standard and t s used n dgtal telephony to encode the voce sgnal. The frst step n the analog to dgtal
More informationStatistics II Final Exam 26/6/18
Statstcs II Fnal Exam 26/6/18 Academc Year 2017/18 Solutons Exam duraton: 2 h 30 mn 1. (3 ponts) A town hall s conductng a study to determne the amount of leftover food produced by the restaurants n the
More informationAssignment 5. Simulation for Logistics. Monti, N.E. Yunita, T.
Assgnment 5 Smulaton for Logstcs Mont, N.E. Yunta, T. November 26, 2007 1. Smulaton Desgn The frst objectve of ths assgnment s to derve a 90% two-sded Confdence Interval (CI) for the average watng tme
More information/ n ) are compared. The logic is: if the two
STAT C141, Sprng 2005 Lecture 13 Two sample tests One sample tests: examples of goodness of ft tests, where we are testng whether our data supports predctons. Two sample tests: called as tests of ndependence
More informationERROR RESEARCH ON A HEPA FILTER MEDIA TESTING SYSTEM OF MPPS(MOST PENETRATION PARTICLE SIZE) EFFICIENCY
Proceedngs: Indoor Ar 2005 ERROR RESEARCH ON A HEPA FILTER MEDIA TESTING SYSTEM OF MPPS(MOST PENETRATION PARTICLE SIZE) EFFICIENCY S Lu, J Lu *, N Zhu School of Envronmental Scence and Technology, Tanjn
More informationChapter 3 Describing Data Using Numerical Measures
Chapter 3 Student Lecture Notes 3-1 Chapter 3 Descrbng Data Usng Numercal Measures Fall 2006 Fundamentals of Busness Statstcs 1 Chapter Goals To establsh the usefulness of summary measures of data. The
More informationLab 2e Thermal System Response and Effective Heat Transfer Coefficient
58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),
More informationChapter 13: Multiple Regression
Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to
More informationChapter 9: Statistical Inference and the Relationship between Two Variables
Chapter 9: Statstcal Inference and the Relatonshp between Two Varables Key Words The Regresson Model The Sample Regresson Equaton The Pearson Correlaton Coeffcent Learnng Outcomes After studyng ths chapter,
More informationISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 1, July 2013
ISSN: 2277-375 Constructon of Trend Free Run Orders for Orthogonal rrays Usng Codes bstract: Sometmes when the expermental runs are carred out n a tme order sequence, the response can depend on the run
More informationThe Order Relation and Trace Inequalities for. Hermitian Operators
Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence
More informationA Fast Computer Aided Design Method for Filters
2017 Asa-Pacfc Engneerng and Technology Conference (APETC 2017) ISBN: 978-1-60595-443-1 A Fast Computer Aded Desgn Method for Flters Gang L ABSTRACT *Ths paper presents a fast computer aded desgn method
More informationOver-Temperature protection for IGBT modules
Over-Temperature protecton for IGBT modules Ke Wang 1, Yongjun Lao 2, Gaosheng Song 1, Xanku Ma 1 1 Mtsubsh Electrc & Electroncs (Shangha) Co., Ltd., Chna Room2202, Tower 3, Kerry Plaza, No.1-1 Zhongxns
More informationComparative Studies of Law of Conservation of Energy. and Law Clusters of Conservation of Generalized Energy
Comparatve Studes of Law of Conservaton of Energy and Law Clusters of Conservaton of Generalzed Energy No.3 of Comparatve Physcs Seres Papers Fu Yuhua (CNOOC Research Insttute, E-mal:fuyh1945@sna.com)
More informationAir Age Equation Parameterized by Ventilation Grouped Time WU Wen-zhong
Appled Mechancs and Materals Submtted: 2014-05-07 ISSN: 1662-7482, Vols. 587-589, pp 449-452 Accepted: 2014-05-10 do:10.4028/www.scentfc.net/amm.587-589.449 Onlne: 2014-07-04 2014 Trans Tech Publcatons,
More informationDesign and Optimization of Fuzzy Controller for Inverse Pendulum System Using Genetic Algorithm
Desgn and Optmzaton of Fuzzy Controller for Inverse Pendulum System Usng Genetc Algorthm H. Mehraban A. Ashoor Unversty of Tehran Unversty of Tehran h.mehraban@ece.ut.ac.r a.ashoor@ece.ut.ac.r Abstract:
More informationImportant Instructions to the Examiners:
Summer 0 Examnaton Subject & Code: asc Maths (70) Model Answer Page No: / Important Instructons to the Examners: ) The Answers should be examned by key words and not as word-to-word as gven n the model
More informationon the improved Partial Least Squares regression
Internatonal Conference on Manufacturng Scence and Engneerng (ICMSE 05) Identfcaton of the multvarable outlers usng T eclpse chart based on the mproved Partal Least Squares regresson Lu Yunlan,a X Yanhu,b
More informationGrey prediction model in world women s pentathlon performance prediction applied research
Avalable onlne www.jocpr.com Journal of Chemcal and Pharmaceutcal Research, 4, 6(6):36-4 Research Artcle ISSN : 975-7384 CODEN(USA) : JCPRC5 Grey predcton model n world women s pentathlon performance predcton
More informationStatistical Evaluation of WATFLOOD
tatstcal Evaluaton of WATFLD By: Angela MacLean, Dept. of Cvl & Envronmental Engneerng, Unversty of Waterloo, n. ctober, 005 The statstcs program assocated wth WATFLD uses spl.csv fle that s produced wth
More informationSystem in Weibull Distribution
Internatonal Matheatcal Foru 4 9 no. 9 94-95 Relablty Equvalence Factors of a Seres-Parallel Syste n Webull Dstrbuton M. A. El-Dacese Matheatcs Departent Faculty of Scence Tanta Unversty Tanta Egypt eldacese@yahoo.co
More informationInternational Power, Electronics and Materials Engineering Conference (IPEMEC 2015)
Internatonal Power, Electroncs and Materals Engneerng Conference (IPEMEC 2015) Dynamc Model of Wnd Speed Dstrbuton n Wnd Farm Consderng the Impact of Wnd Drecton and Interference Effects Zhe Dong 1, a,
More informationAvailable online Journal of Chemical and Pharmaceutical Research, 2014, 6(5): Research Article
Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research 4 6(5):7-76 Research Artcle ISSN : 975-7384 CODEN(USA) : JCPRC5 Stud on relatonshp between nvestment n scence and technolog and
More informationA New Scrambling Evaluation Scheme based on Spatial Distribution Entropy and Centroid Difference of Bit-plane
A New Scramblng Evaluaton Scheme based on Spatal Dstrbuton Entropy and Centrod Dfference of Bt-plane Lang Zhao *, Avshek Adhkar Kouch Sakura * * Graduate School of Informaton Scence and Electrcal Engneerng,
More informationNegative Binomial Regression
STATGRAPHICS Rev. 9/16/2013 Negatve Bnomal Regresson Summary... 1 Data Input... 3 Statstcal Model... 3 Analyss Summary... 4 Analyss Optons... 7 Plot of Ftted Model... 8 Observed Versus Predcted... 10 Predctons...
More informationMagnetic Field Around The New 400kV OH Power Transmission Lines In Libya
ECENT ADVANCES n ENEGY & ENVIONMENT Magnetc Feld Around The New kv OH Power Transmsson Lnes In Lbya JAMAL M. EHTAIBA * SAYEH M. ELHABASHI ** Organzaton for Development of Admnstratve Centers, ODAC MISUATA
More informationAssessment of Site Amplification Effect from Input Energy Spectra of Strong Ground Motion
Assessment of Ste Amplfcaton Effect from Input Energy Spectra of Strong Ground Moton M.S. Gong & L.L Xe Key Laboratory of Earthquake Engneerng and Engneerng Vbraton,Insttute of Engneerng Mechancs, CEA,
More informationInductance Calculation for Conductors of Arbitrary Shape
CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors
More informationOn the spectral norm of r-circulant matrices with the Pell and Pell-Lucas numbers
Türkmen and Gökbaş Journal of Inequaltes and Applcatons (06) 06:65 DOI 086/s3660-06-0997-0 R E S E A R C H Open Access On the spectral norm of r-crculant matrces wth the Pell and Pell-Lucas numbers Ramazan
More informationChapter 11: Simple Linear Regression and Correlation
Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests
More informationColor Rendering Uncertainty
Australan Journal of Basc and Appled Scences 4(10): 4601-4608 010 ISSN 1991-8178 Color Renderng Uncertanty 1 A.el Bally M.M. El-Ganany 3 A. Al-amel 1 Physcs Department Photometry department- NIS Abstract:
More informationSTAT 511 FINAL EXAM NAME Spring 2001
STAT 5 FINAL EXAM NAME Sprng Instructons: Ths s a closed book exam. No notes or books are allowed. ou may use a calculator but you are not allowed to store notes or formulas n the calculator. Please wrte
More informationAN IMPROVED METHOD OF HIERARCHIC ANALYSIS FOR CHOOSING OPTIMAL INFORMATION PROTECTION SYSTEM IN COMPUTER NETWORKS
S. M. Kusemko, Cand. Sc. (Eng.), Ass. Prof.; V. M. Melnchuk AN IMPROVED METHOD OF HIERARCHIC ANALYSIS FOR CHOOSING OPTIMAL INFORMATION PROTECTION SYSTEM IN COMPUTER NETWORKS An mproved herarchc analyss
More informationA New Grey Relational Fusion Algorithm Based on Approximate Antropy
Journal of Computatonal Informaton Systems 9: 20 (2013) 8045 8052 Avalable at http://www.jofcs.com A New Grey Relatonal Fuson Algorthm Based on Approxmate Antropy Yun LIN, Jnfeng PANG, Ybng LI College
More informationAtmospheric Environmental Quality Assessment RBF Model Based on the MATLAB
Journal of Envronmental Protecton, 01, 3, 689-693 http://dxdoorg/10436/jep0137081 Publshed Onlne July 01 (http://wwwscrporg/journal/jep) 689 Atmospherc Envronmental Qualty Assessment RBF Model Based on
More informationA Network Intrusion Detection Method Based on Improved K-means Algorithm
Advanced Scence and Technology Letters, pp.429-433 http://dx.do.org/10.14257/astl.2014.53.89 A Network Intruson Detecton Method Based on Improved K-means Algorthm Meng Gao 1,1, Nhong Wang 1, 1 Informaton
More informationAPPENDIX 2 FITTING A STRAIGHT LINE TO OBSERVATIONS
Unversty of Oulu Student Laboratory n Physcs Laboratory Exercses n Physcs 1 1 APPEDIX FITTIG A STRAIGHT LIE TO OBSERVATIOS In the physcal measurements we often make a seres of measurements of the dependent
More informationAnalysis of the Magnetomotive Force of a Three-Phase Winding with Concentrated Coils and Different Symmetry Features
Analyss of the Magnetomotve Force of a Three-Phase Wndng wth Concentrated Cols and Dfferent Symmetry Features Deter Gerlng Unversty of Federal Defense Munch, Neubberg, 85579, Germany Emal: Deter.Gerlng@unbw.de
More informationCase Study of Markov Chains Ray-Knight Compactification
Internatonal Journal of Contemporary Mathematcal Scences Vol. 9, 24, no. 6, 753-76 HIKAI Ltd, www.m-har.com http://dx.do.org/.2988/cms.24.46 Case Study of Marov Chans ay-knght Compactfcaton HaXa Du and
More informationTurbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH
Turbulence classfcaton of load data by the frequency and severty of wnd gusts Introducton Oscar Moñux, DEWI GmbH Kevn Blebler, DEWI GmbH Durng the wnd turbne developng process, one of the most mportant
More informationTREND OF POVERTY INTENSITY IN IRAN
www.arpapress.com/volumes/vol4issue/ijrras_4.pdf TREND OF POVERTY INTENSITY IN IRAN 99-200 F. Bagher & M.S. Avazalpour 2 Statstcal Research and Tranng Centre, Tehran, Iran 2 Statstcal Research and Tranng
More informationTemperature. Chapter Heat Engine
Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the
More informationSimulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests
Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth
More information2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011
Interface Energy Couplng between -tungsten Nanoflm and Few-layered Graphene Meng Han a, Pengyu Yuan a, Jng Lu a, Shuyao S b, Xaolong Zhao b, Yanan Yue c, Xnwe Wang a,*, Xangheng Xao b,* a 2010 Black Engneerng
More informationPsychology 282 Lecture #24 Outline Regression Diagnostics: Outliers
Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.
More informationA Particle Filter Algorithm based on Mixing of Prior probability density and UKF as Generate Importance Function
Advanced Scence and Technology Letters, pp.83-87 http://dx.do.org/10.14257/astl.2014.53.20 A Partcle Flter Algorthm based on Mxng of Pror probablty densty and UKF as Generate Importance Functon Lu Lu 1,1,
More informationUNR Joint Economics Working Paper Series Working Paper No Further Analysis of the Zipf Law: Does the Rank-Size Rule Really Exist?
UNR Jont Economcs Workng Paper Seres Workng Paper No. 08-005 Further Analyss of the Zpf Law: Does the Rank-Sze Rule Really Exst? Fungsa Nota and Shunfeng Song Department of Economcs /030 Unversty of Nevada,
More informationHere is the rationale: If X and y have a strong positive relationship to one another, then ( x x) will tend to be positive when ( y y)
Secton 1.5 Correlaton In the prevous sectons, we looked at regresson and the value r was a measurement of how much of the varaton n y can be attrbuted to the lnear relatonshp between y and x. In ths secton,
More information829. An adaptive method for inertia force identification in cantilever under moving mass
89. An adaptve method for nerta force dentfcaton n cantlever under movng mass Qang Chen 1, Mnzhuo Wang, Hao Yan 3, Haonan Ye 4, Guola Yang 5 1,, 3, 4 Department of Control and System Engneerng, Nanng Unversty,
More informationSubstation Noise Research Based on Geometric Divergence
6 3 rd Internatonal Conference on Engneerng Technology and Applcaton (ICETA 6) IBN: 978--6595-383- ubstaton Nose Research Based on Geometrc Dvergence Ru u, Yun Fu, Chundong, Zhe h, hshen Guan & Jun Zhao
More informationA Robust Method for Calculating the Correlation Coefficient
A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal
More informationStatistics MINITAB - Lab 2
Statstcs 20080 MINITAB - Lab 2 1. Smple Lnear Regresson In smple lnear regresson we attempt to model a lnear relatonshp between two varables wth a straght lne and make statstcal nferences concernng that
More informationStanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011
Stanford Unversty CS359G: Graph Parttonng and Expanders Handout 4 Luca Trevsan January 3, 0 Lecture 4 In whch we prove the dffcult drecton of Cheeger s nequalty. As n the past lectures, consder an undrected
More informationPower law and dimension of the maximum value for belief distribution with the max Deng entropy
Power law and dmenson of the maxmum value for belef dstrbuton wth the max Deng entropy Bngy Kang a, a College of Informaton Engneerng, Northwest A&F Unversty, Yanglng, Shaanx, 712100, Chna. Abstract Deng
More informationAS-Level Maths: Statistics 1 for Edexcel
1 of 6 AS-Level Maths: Statstcs 1 for Edecel S1. Calculatng means and standard devatons Ths con ndcates the slde contans actvtes created n Flash. These actvtes are not edtable. For more detaled nstructons,
More informationThermodynamics General
Thermodynamcs General Lecture 1 Lecture 1 s devoted to establshng buldng blocks for dscussng thermodynamcs. In addton, the equaton of state wll be establshed. I. Buldng blocks for thermodynamcs A. Dmensons,
More informationLecture 3. Ax x i a i. i i
18.409 The Behavor of Algorthms n Practce 2/14/2 Lecturer: Dan Spelman Lecture 3 Scrbe: Arvnd Sankar 1 Largest sngular value In order to bound the condton number, we need an upper bound on the largest
More informationDefinition. Measures of Dispersion. Measures of Dispersion. Definition. The Range. Measures of Dispersion 3/24/2014
Measures of Dsperson Defenton Range Interquartle Range Varance and Standard Devaton Defnton Measures of dsperson are descrptve statstcs that descrbe how smlar a set of scores are to each other The more
More informationSemiparametric geographically weighted generalised linear modelling in GWR 4.0
Semparametrc geographcally weghted generalsed lnear modellng n GWR 4.0 T. Nakaya 1, A. S. Fotherngham 2, M. Charlton 2, C. Brunsdon 3 1 Department of Geography, Rtsumekan Unversty, 56-1 Tojn-kta-mach,
More informationChapter - 2. Distribution System Power Flow Analysis
Chapter - 2 Dstrbuton System Power Flow Analyss CHAPTER - 2 Radal Dstrbuton System Load Flow 2.1 Introducton Load flow s an mportant tool [66] for analyzng electrcal power system network performance. Load
More informationANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)
Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of
More informationAppendix B: Resampling Algorithms
407 Appendx B: Resamplng Algorthms A common problem of all partcle flters s the degeneracy of weghts, whch conssts of the unbounded ncrease of the varance of the mportance weghts ω [ ] of the partcles
More informationFREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced,
FREQUENCY DISTRIBUTIONS Page 1 of 6 I. Introducton 1. The dea of a frequency dstrbuton for sets of observatons wll be ntroduced, together wth some of the mechancs for constructng dstrbutons of data. Then
More informationCalculation Of The Interdiffusion Coefficient In The Cu Zn Diffusion Couple
Calculaton Of The Interdffuson Coeffcent In The Cu Zn Dffuson Couple Adhurm Hoxha a and Henrch Oettel b and Detrch Heger b a Polytechnc Unversty of Trana b TU Bergakademe Freberg, Insttut für Werkstoffwssenschaft
More informationModule 9. Lecture 6. Duality in Assignment Problems
Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept
More informationRemarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence
Remarks on the Propertes of a Quas-Fbonacc-lke Polynomal Sequence Brce Merwne LIU Brooklyn Ilan Wenschelbaum Wesleyan Unversty Abstract Consder the Quas-Fbonacc-lke Polynomal Sequence gven by F 0 = 1,
More informationLecture 6: Introduction to Linear Regression
Lecture 6: Introducton to Lnear Regresson An Manchakul amancha@jhsph.edu 24 Aprl 27 Lnear regresson: man dea Lnear regresson can be used to study an outcome as a lnear functon of a predctor Example: 6
More informationChapter 4. Velocity analysis
1 Chapter 4 Velocty analyss Introducton The objectve of velocty analyss s to determne the sesmc veloctes of layers n the subsurface. Sesmc veloctes are used n many processng and nterpretaton stages such
More informationPop-Click Noise Detection Using Inter-Frame Correlation for Improved Portable Auditory Sensing
Advanced Scence and Technology Letters, pp.164-168 http://dx.do.org/10.14257/astl.2013 Pop-Clc Nose Detecton Usng Inter-Frame Correlaton for Improved Portable Audtory Sensng Dong Yun Lee, Kwang Myung Jeon,
More informationImproving subjective estimations using the paired comparisons method
Improvng subectve estmatons usng the pared comparsons method Internatonal Forum on COCOMO and Software Cost Estmaton Eduardo Mranda October 24-27, 2000 Agenda Subectve estmates Estmatng person-hours Can
More informationSecond Order Analysis
Second Order Analyss In the prevous classes we looked at a method that determnes the load correspondng to a state of bfurcaton equlbrum of a perfect frame by egenvalye analyss The system was assumed to
More informationMAGNETISM MAGNETIC DIPOLES
MAGNETISM We now turn to magnetsm. Ths has actually been used for longer than electrcty. People were usng compasses to sal around the Medterranean Sea several hundred years BC. However t was not understood
More informationKernel Methods and SVMs Extension
Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general
More informationJifeng Zuo School of Science, Agricultural University of Hebei, Baoding , Hebei,China
Rev. Téc. Ing. Unv. Zula. Vol. 39, Nº 7, 76 80, 016 do:10.1311/001.39.7.34 Proof on Decson Tree Algorthm Jfeng Zuo School of Scence, Agrcultural Unversty of Hebe, Baodng 071001, Hebe,Chna Pepe Ja Basc
More informationCOMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
More informationScroll Generation with Inductorless Chua s Circuit and Wien Bridge Oscillator
Latest Trends on Crcuts, Systems and Sgnals Scroll Generaton wth Inductorless Chua s Crcut and Wen Brdge Oscllator Watcharn Jantanate, Peter A. Chayasena, and Sarawut Sutorn * Abstract An nductorless Chua
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationIndeterminate pin-jointed frames (trusses)
Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all
More informationPERFORMANCE OF HEAVY-DUTY PLANETARY GEARS
THE INTERNATIONAL CONFERENCE OF THE CARPATHIAN EURO-REGION SPECIALISTS IN INDUSTRIAL SYSTEMS 6 th edton PERFORMANCE OF HEAVY-DUTY PLANETARY GEARS Attla Csobán, Mhály Kozma 1, 1 Professor PhD., Eng. Budapest
More informationChapter 14 Simple Linear Regression
Chapter 4 Smple Lnear Regresson Chapter 4 - Smple Lnear Regresson Manageral decsons often are based on the relatonshp between two or more varables. Regresson analss can be used to develop an equaton showng
More informationChat eld, C. and A.J.Collins, Introduction to multivariate analysis. Chapman & Hall, 1980
MT07: Multvarate Statstcal Methods Mke Tso: emal mke.tso@manchester.ac.uk Webpage for notes: http://www.maths.manchester.ac.uk/~mkt/new_teachng.htm. Introducton to multvarate data. Books Chat eld, C. and
More informationCorrelation and Regression. Correlation 9.1. Correlation. Chapter 9
Chapter 9 Correlaton and Regresson 9. Correlaton Correlaton A correlaton s a relatonshp between two varables. The data can be represented b the ordered pars (, ) where s the ndependent (or eplanator) varable,
More informationTHE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD
Journal of Appled Mathematcs and Computatonal Mechancs 7, 6(3), 7- www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.3. e-issn 353-588 THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS
More information2016 Wiley. Study Session 2: Ethical and Professional Standards Application
6 Wley Study Sesson : Ethcal and Professonal Standards Applcaton LESSON : CORRECTION ANALYSIS Readng 9: Correlaton and Regresson LOS 9a: Calculate and nterpret a sample covarance and a sample correlaton
More informationThe Analysis of Convection Experiment
Internatonal Conference on Appled Scence and Engneerng Innovaton (ASEI 5) The Analyss of Convecton Experment Zlong Zhang School of North Chna Electrc Power Unversty, Baodng 7, Chna 469567@qq.com Keywords:
More informationThe Study of Teaching-learning-based Optimization Algorithm
Advanced Scence and Technology Letters Vol. (AST 06), pp.05- http://dx.do.org/0.57/astl.06. The Study of Teachng-learnng-based Optmzaton Algorthm u Sun, Yan fu, Lele Kong, Haolang Q,, Helongang Insttute
More informationMathematical Modeling to Support Gamma Radiation Angular Distribution Measurements
Mathematcal Modelng to Support Gamma Radaton Angular Dstrbuton Measurements V. Baty, O. Stoyanov Insttute for Safety Problems of Nuclear Power Plants, Natonal Academy of Scences of Ukrane Ukrane D. Fedorchenko,
More informationFoundations of Arithmetic
Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an
More informationFundamental loop-current method using virtual voltage sources technique for special cases
Fundamental loop-current method usng vrtual voltage sources technque for specal cases George E. Chatzaraks, 1 Marna D. Tortorel 1 and Anastasos D. Tzolas 1 Electrcal and Electroncs Engneerng Departments,
More informationAn identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites
IOP Conference Seres: Materals Scence and Engneerng PAPER OPE ACCESS An dentfcaton algorthm of model knetc parameters of the nterfacal layer growth n fber compostes o cte ths artcle: V Zubov et al 216
More informationStudy on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI
2017 2nd Internatonal Conference on Electrcal and Electroncs: echnques and Applcatons (EEA 2017) ISBN: 978-1-60595-416-5 Study on Actve Mcro-vbraton Isolaton System wth Lnear Motor Actuator Gong-yu PAN,
More informationAdaptive Consensus Control of Multi-Agent Systems with Large Uncertainty and Time Delays *
Journal of Robotcs, etworkng and Artfcal Lfe, Vol., o. (September 04), 5-9 Adaptve Consensus Control of Mult-Agent Systems wth Large Uncertanty and me Delays * L Lu School of Mechancal Engneerng Unversty
More informationMAKING A DECISION WHEN DEALING WITH UNCERTAIN CONDITIONS
Luca Căbulea, Mhaela Aldea-Makng a decson when dealng wth uncertan condtons MAKING A DECISION WHEN DEALING WITH UNCERTAIN CONDITIONS. Introducton by Luca Cabulea and Mhaela Aldea The decson theory offers
More information