IMPROVEMENT OF DATA INTERPRETATION METHOD FOR DOWNHOLE SEISMIC METHOD
|
|
- Gertrude Daniel
- 5 years ago
- Views:
Transcription
1 4 th Internatonal Conference on Earthquake Geotechncal Engneerng June -8, 7 Paper No. 8 IMPROEMENT OF DATA INTERPRETATION METHOD FOR DOWNHOLE SEISMIC METHOD Eun-Seok Bang, Dong-Soo Km ABSTRACT Mean refracted ray path method (MRM) whch s combned the advantage of drect method and refracted ray path method s proposed. It can provde reasonable S profle automatcally consderng travel tme measurement error. The overall procedure of MRM s smlar to the drect method. However, corrected travel tme data s based on the result of refracted ray path method for consderng refracted ray path and the R value of regresson curve s employed for automaton. Accordng to the R value, sol model s constructed and S value of each layer s evaluated from the slope of regresson curve at each dvded layer automatcally by programmed routne. The relablty and applcablty of the proposed method was verfed by usng numercal and feld study. Keywords: downhole sesmc method, nterpretaton method, shear wave velocty, ste nvestgaton INTRODUCTION The shear wave velocty ( S ) profle s very mportant geotechncal parameter n practce. In addton to dynamc problems, the S value has also been used for statc problems (Stokoe et al., 4). For these reasons, the demand for obtanng relable and detaled S profle s rapdly ncreasng n the feld of geotechncal engneerng. The downhole sesmc method s very attractve because ths method requres just one bore-hole to perform the test and uses a smple surface source. Drect method (DM) has been wdely used to determne general S profle, but ths method provdes mean S value of each roughly dvded layer. Recently, the demand for evaluatng detaled S profle of a ste s ncreasng for geotechncal applcatons, and nterval method (IM), modfed nterval method (MIM) and refracted ray path method (RRM) have been ntroduced (Km et al., 4). It has been known that the refracted ray path method provdes the most relable S profle for downhole sesmc test. However, the S profle determned by RRM shows some meanngless repettve fluctuatons wth depth when some errors are ncluded n the estmated travel tme data. Estmatng the frst arrval pont of shear wave on sgnal traces s very dffcult. Therefore, the obtaned travel tme data are sometmes naccurate and s forced to determne erroneous S profle. In ths study, a new method whch combnes the advantages of drect method and refracted ray path method s proposed to reduce downhole sesmc data more relably. The proposed method can provde detaled S profle automatcally consderng errors n the travel tme measurement. Ths proposed method was verfed by usng synthetc travel tme data that were generated by forward modelng consderng refracted ray path and by addng some errors to smulate the dffcultes n travel tme measurements. Fnte element modelng was also performed to smulate and generate synthetc sgnals n the downhole test. The S profle determned by proposed method was compared wth the model Senor Researcher, Geotechncal Engneerng Dvson, Korea Insttute of Geoscence and Mneral Resources, Korea, Emal: esbang@kgam.re.kr Professor, Department of Cvl & Envronmental Engneerng, Korea Advanced Insttute of Scence and Technology, Korea, Emal: dskm@kast.ac.kr
2 values together wth the results of other conventonal data reducton methods. Fnally, the proposed method was appled to the data reducton of several feld test data and the applcablty and relablty were assessed by comparng the estmated S profle wth SPT-N value, CPT profle, and drllng log. CONENTIONAL DOWNHOLE INTERPRETATION METHODS There are two categores n downhole nterpretaton methods. One s determnng the general S profle by obtanng mean S value of each dvded sol layer n the constructed sol model. The other s determnng S profle n detal at every testng nterval. The former s drect method and nverson method and the latter s nterval method, modfed nterval method and refracted ray path method. The drect method s most wdely used downhole nterpretaton method n Korea. The frst arrval tme of an elastc wave from the source to a recever at each testng depth can be obtaned from the feld test. The measured travel tme (t) n the nclned path can be corrected to the travel tme, t C, n the vertcal. By plottng the corrected travel tme versus depth, the velocty of each layer can be obtaned from the slope of the fttng curve usng the data ponts whch have smlar trend (Mok, 987). In nterval method, the wave velocty of a layer between two recevers or successve testng depths s obtaned by dvdng the travel dstance dfference by the travel tme delay (Campanella and Stewart, 99). In the modfed nterval method, t s assumed that the ste s composed of stacks of horzontal layers dvded as each testng nterval and the elastc wave (shear wave n ths study) propagates ts own velocty on each dvded layers as shown n Fgure. The passage length of elastc wave on each layer s determned usng Eq. and the wave velocty at each testng layer s determned usng Eq. (Batsla, 99). L R j = Z () j D = T L j= L j j () where s the wave velocty of th layer, D,l s th testng depth of lower recever, DT s travel tme delay between the upper and lower recevers, T s travel tme at th testng depth, and L j s the length of ray-path on j th layer of th testng at the lower recever and Z j s the thckness of j th layer. S Source Plank S Source Plank L,u L,l S Z θ,u L,u θ,l L,l S Z L,u L,l S Z L,u θ,l θ,u L,l S Z D,u D,u D,l D,l R,u L (-),u L (-),l S - Z - L (-),u θ (-),u θ (-),l L (-),l S- Z - L,l S Z θ,l L,l S Z Recever R,l Recever SN- Z N- SN- Z N- S N Fgure The schematc dagram of modfed nterval method, refracted ray path method. S N In refracted ray path method, t s assumed that the wave propagates along a refracted ray path based on Snell s law as shown n Fgure and the followng relatons (Eq. 3 and Eq. 4) should be satsfed. The evaluaton process s manly same as modfed nterval method but the passage length of
3 each layer s determned by consderng refracted ray-path and Eq. s appled nstead of Eq.. Ths method requres the teraton process as the velocty of th layer should be assumed for determnng refracted ray path n usng Eq. 3 (Km et al., 4). snθ snθ snθ snθ j = = = = = (3) j + + Z j tanθj + + Z tanθ = Z tanθ S (4) L = / cosθ () j Z j j wherej s ncdent angle from j th layer to next layer of th ray path, and S s the dstance from the source to the borehole. COMPARISONS OF S PROFILES DETERMINED BY ARIOUS INTERPRETATION METHODS USING TRAEL TIME DATA WITH ADDED ERRORS In practce, t s very dffcult to estmate the exact frst arrval pont of shear wave on sgnal traces and some errors are ncluded. In order to examne ths problem properly, comparson study on varous downhole nterpretaton methods was performed on condton of havng errors n travel tme measurement. The source offset s 3m and the fnal testng depth s 3m wth m testng nterval. Theoretcal travel tme data were generated to the.ms unt by forward modelng consderng refracted ray path and some travel tme errors were added to them. Errors were generated automatcally usng random functon wthn fxed lmtaton and dfferent errors could be added to the theoretcal travel tme at each testng depth. The fxed lmtatons n ths comparson work were ±.ms, ±.ms, ±.ms, ±.3ms, ±.ms, and ±.ms. In case no error s added, the refracted ray path method provdes exact S value, but t provded meanngless repettve fluctuaton S value wth depth as ncreasng the errors. When the added error s hgher than ±.ms, t provdes dssmlar results to the model as shown n Fgure. From ths parametrc study, t can be found that we should measure travel tme exactly wthn the maxmum error of.ms unt to determne relable S profle when usng refracted ray path method. As decreasng testng nterval and ncreasng S value, the lmtng error wll be more rgorous. Drect method has been usefully appled when the condton of acqured sgnals (sgnal to nose rato) s not good and the measured travel tme s erroneous. It can adjust the error n travel tme measurement by obtanng mean value at the dvded nterval. However, t s dffcult to dscrmnate layer boundary relably except the case of S value changes abruptly and the S profle can be determned by the subjectvty of the nterpreter. Then, S profles determned by four nterpreters can be dfferent as shown n Fgure. Addtonally, drect method overestmated the second layer because t consders just straght ray path. MEAN REFRACTED RAY PATH METHOD From the comparatve study, t was found that there s no perfect nterpretaton method n the case of added errors n travel tme measurement, and t s also very dffcult to montor the travel tme wthout error n the feld. However, the sutable modelng of S profle s nterpreter's duty even though the data to nterpret s somewhat problematc. In ths paper, mean refracted ray path method (MRM) s proposed to obtan relable and effectve S proflng n downhole sesmc test. Ths method combnes the advantages of drect method and refracted ray path method and t can provde S profle automatcally consderng errors n travel tme measurement.
4 The overall procedure of propose method s smlar to the drect method. After correctng measured travel tme data for source offset, the sol layer s dvded and S value of each layer s calculated. When correctng source offset effect, proposed method uses the result of the refracted ray path method nstead of usng smple correcton as n drect method. Corrected travel tme of th layer, t c, s represented as Eq. 6. Refracted ray path method provdes S value at each testng nterval consderng refracted ray path. Procedure of correctng travel tme usng Eq. 6 s more relable than that of drect method whch consders just straght ray path. Z Z Z t c = (6) Where s wave velocty of th layer determned by refracted ray path method, Z s the thckness of th layer or testng nterval IM MIM RRM 3 3 DM # DM # DM #3 DM #4 Fgure Comparng S profles usng synthetc travel tmes added maxmum.ms errors determned by: nterval method, modfed nterval method and refracted ray path method, drect method. Fgure 3 shows the comparson of corrected travel tmes calculated by drect and proposed methods and determned S profles were also ncluded. The model used for ths comparson work s threelayered model whose layer thckness s m and velocty of each layer s m/s, 6m/s and m/s, respectvely. Source offset s 3m and testng nterval s m. The theoretcal travel tme s calculated by forward modelng based on Snell s law. The wave velocty of each layer s determned by fttng process of seres of travel tme data whch has smlar slant. Calculated S value at each layer s nserted wth related R value f layer boundares are equally dvded wth the model n Fgure 3. The R value means the smlarty of grouped data. The wrtten n the left s for the drect method and the wrtten n the rght s for the proposed method. In these methods, t s very mportant that corrected travel tmes wth depth show same slant n a layer for the relable data nterpretaton. In the frst layer, the corrected travel tme data and calculated S value are all concdent n both drect and proposed methods because there s only one homogeneous layer from source to recevers. In the second layer, the corrected travel tmes for drect method show somewhat dfferent trend even havng same velocty n a layer and ths makes t dffcult to dvde layer boundary exactly as shown n Fgure 3. Though the boundary of layer s dvded exactly, the R value s very small as.9 and calculated S s 68.m/s (DM #3). In the thrd layer, the trend of corrected travel tmes for drect method are smlar and related R value s.9967, but the calculated S value of the thrd layer s 66.3m/s whch s much smaller than the model value. Ths problem s caused by consderng just straght ray path. On the other hand, the corrected travel tmes for mean refracted ray path method
5 show exactly same slant n each layer as related R value s one and the calculated S values are concdent wth the model values. Ths model study shows the superorty of source offset correcton process n ths proposed method.... Corrected Travel Tme (ms) 7 DM#3 S =m/s R = S =68.4m/s R =.9 MR M S =m/s R = S =6m/s R = DM # DM # DM #3 MRM. For DM For MRM S =66.3m/s R =.9967 S =m/s R = Fgure 3 Comparson of the drect method (DM) and the proposed method (MRM) usng synthetc travel tme: corrected travel tme and calculated S value ncludng related R value n each layer, The determned S profles. It s desrable that nterpretaton method s automated for excludng nterpreter s subjecton. In the proposed method, automatc data groupng procedure usng R value of regresson curve s employed. Accordng to the R value, boundares of layer are determned and S value of each layer s evaluated from the slope of regresson curve at each dvded layer automatcally by programmed routne. In the case of the model n Fgure 3, the model s dvded three layers wth R value of one and S value of each layer s calculated automatcally. In the case of some errors are added to the travel tme data, f R value for layer dvson s set to one, the model wll be dvded more than three layers and S values wll be calculated wth some errors. In order to dvde model as three layers and calculate correspondng S value consderng added error automatcally for obtanng the most smlar S profle to the model, R value should be below one. Namely, accordng to the specfed R value, the S profle can be evaluated consderng errors n the travel tme measurements n the proposed method. All of the proposed procedures were programmed by MATLAB, and nput values are measured travel tme data from feld test and the specfed R value. Ths automaton scheme s not adequate for the drect method because the corrected travel tmes nclude the wrong correcton effect for source offset usng straght ray path as dscussed n Fgure 3. If the specfed R value s near, the detaled S profle wll be determned because the data wll be grouped only whose slants are very smlar. But correcton effect of errors n travel tme measurement wll be not promnent. On other hand, f the specfed R value s far below, the correcton effect s promnent, but the determned S profle wll be rough. Therefore, the R value should be specfed accordng to the accuracy of measured travel tme data and the need for subdvson. As ncreasng S value and the added travel tme error, the R value for recognzng the travel tme data as one layer becomes smaller. In Table, the recommended R values are tabulated accordng to the S value and added error n the case of testng nterval of m. The R values n Table were calculated though the parametrc study usng synthetc travel tme ncludng errors. Usually, accuracy of travel tme measurement s hgh at the shallow depth because the S value of sol s generally small and S/N rato s hgh. As the testng depth ncreases, the S value of sol wll be larger and S/N rato becomes lower. Therefore, the R value whch s reference value for dvdng sol layers needs to be specfed dfferently at the upper and lower layers of the profle...
6 Table The R value accordng to the model S value and magntude of travel tme measurement error (testng nterval s m). model s value lmtaton of added travel tme measurement error (ms) ±. ±. ±. ±. ± * R alues were calculated though parametrc study usng synthetc travel tme ncludng travel tme measurement error. ERIFICATION OF MEAN REFRACTED RAY PATH METHOD Synthetc travel tme data dscussed prevously n Fgure were used for the verfcaton of proposed method and coded program. Fgure 4 shows the S profles determned by mean refracted ray path method. The nput R values were specfed by referrng to the Table. In case of usng exact travel tme, the determned S profle s concdent wth the model. In the case of added errors lower than ±.ms, the result s nearly concdent wth the model. By comparng wth the results determned by conventonal methods shown n Fgure, t s clearly notced that proposed method s far superor to the conventonal methods. Proposed method s desgned to obtan relable S profle by consderng errors n travel tme measurement adequately. However, t cannot be dstngushed when the varatons of S value n the model s too small to be corrected. Also, n case the added error s above ±.3ms, the layer boundares and S value of each layer are not adequately determned compared to the model as shown n Fgure 4, because the proposed method cannot overcome bg errors n travel tme measurements. However, t can be mentoned that the result determned by proposed method s more relable compared to the result determned by conventonal reflected ray path method whch provdes meanngless fluctuaton of S values when error s ncluded MRM_.ms MRM_.error MRM_.error MRM_.error 3 3 MRM_.3error MRM_.error MRM_.error Fgure 4 The S profles determned by proposed method usng varous synthetc travel tmes: the case of added error s relatvely small (±.ms, ±.ms, and ±.ms), the case of added error s relatvely large (±.3ms, ±.ms, and ±.ms). NUMERICAL SIMULATION OF DOWNHOLE SEISMIC METHOD
7 To understand the effect of errors n feld travel tme measurement and to verfy the applcablty of the proposed method, a numercal modelng of downhole sesmc test was performed usng the fnte element method (FEM). The three-layered model that has dfferent S values at each layer was desgned. The sze of model s 3m*m*m (W*L*H). An eght-node element (C3D8) wth an nfnte element (CIN3D8) was mplemented. The form of each element s cubc and the sze of each sde s.m. The nterval of testng depth s.m and source offset s 3m. The calculaton step and record length were determned as.msec and msec, respectvely. From ths numercal smulaton, rght and left strkng sgnal were acqured wth depth as shown n Fgure and the estmated frst arrval ponts were ndcated by downward arrow. The S profles determned by conventonal methods such as nterval, modfed nterval and refracted ray path methods are compared as shown n Fgure. Whle the result of refracted ray path method have smlar trend wth the model, the result of nterval and modfed nterval method do not match well wth the model. However, the S profle determned by refracted ray path method shows the fluctuaton n a layer because of the errors n the travel tme measurement. Real feld data has also the possblty of havng more errors n travel tme measurement because the sgnal to nose rato s generally lower than synthetc waveform from numercal study. Therefore, t s consdered that the refracted ray path method can cause some problems n nterpretaton of downhole data. On other hand, proposed method dvdes three layers exactly and provdes mean S value well. The result matched well wth the model as shown n Fgure (c). Testng Depth.m.m.m.m.m 3.m 3.m 4.m 4.m.m.m 6.m 6.m 7.m 7.m 8.m 8.m 9.m 4 Travel Tme (ms) IM MIM RRM (c) Fgure The S profles determned by varous downhole nterpretaton methods wth the model based on the fnte element modelng: the synthetc sgnal traces the results of nterval method (IM), modfed nterval method (MIM) and refracted ray path method (RRM), (c) the results of drect method (DM) and proposed method (MRM). DM # DM # MRM FIELD CASE STUDIES Downhole sesmc method was performed at rver sde ste n Kyeongju, Korea. Based on SPT N values, the stffness of sol decreases slowly wth depth up to 9.m and the notceably stffness ncrease occurs at depths of about 8 to m as shown n the rght sde of Fgure 6. The shear wave velocty profles determned by varous reducton methods are plotted n the left sde of Fgure 6. The refracted ray-path method provded the relable results followng the stffness trends expected by SPT-N values. To obtan mean S profle, drect method and proposed method were appled. Fourlayered model was constructed at both methods and the layer boundares were nearly concdent wth the drllng log. However, the calculated S values are somewhat dfferent between them because the ray path assumpton of each method s dfferent. From ths case study, t was found that consderng refracted ray path s very mportant and the mean reflected ray path method has the possblty of provdng most relable results.
8 To evaluate the consoldaton effect on soft clay, downhole sesmc method was performed at soft clay ste n Jnhae, Korea (Fgure 6). The detaled S profle was requred for evaluatng local consoldaton condton of soft clay n ths ste. In the refracted ray path method, meanngless fluctuaton was shown and t was caused by travel tme measurement error. For correctng ths error, the drect method and the mean refracted ray path method were appled. In drect method, the sol model was dvded nto just four layers and the determned S profle s so rough. It was not adequate to evaluate the local consoldaton condton of soft clay. In the propose method, the relatvely detaled S profle can be evaluated. The local consoldaton condton of soft clay can be guessed from the obtaned S profle. Shear Wave elocty(m/s) Tp Resstance (kpa) IM MIM RRM DM MRM Depth(m) RRM DM MRM 6 6 Fgure 6 The results of downhole sesmc method: rver sde ste, soft clay ste. CPT CPT* CONCLUSIONS Mean refracted ray path method (MRM) whch combnes the advantages of drect method and refracted ray path method was proposed. It can provde relable S profle automatcally wth consderaton of travel tme error. The travel tme data s corrected based on the refracted ray path and the R value of regresson curve s employed for automaton. When the estmated travel tme data was somewhat naccurate, meanngless repettve fluctuatons were shown n the S profle determned by the conventonal methods. On the other hand, MRM provded the most relable S profles. From numercal and feld case studes, the relablty and applcablty of the proposed method was verfed. AKNOWLEDGEMENTS Ths study was supported by a fund of the Constructon Research and Development Program (4 constructon kernel B-4) contrbuted by the Mnstry of Constructon and Transportaton (MOCT). It s gratefully acknowledged. REFERENCES Batsla, E. Investgaton of Ray Path Assumpton on Downhole elocty Profle, Master Thess, The department of cvl engneerng, The Unversty of Texas at Austn 99. Campanella RG and Stewart WP. Sesmc cone analyss usng dgtal sgnal processng for dynamc ste characterzaton. Canadan Geotechncal Journal, 9, , 99.
9 Km DS, Bang ES and Km WC. Evaluaton of varous downhole data reducton methods to obtan relable s profle, Geotechncal Testng Journal, 7(6): 8-97, 4 Mok YJ. Analytcal and Expermental Studes of Borehole Sesmc Methods, Ph.D. Dssertaton, The department of cvl engneerng, The Unversty of Texas at Austn 987. Stokoe KH, Joh SH and Woods RD. Some contrbutons of n stu geophyscal measure-ments to solvng geotechncal engneerng problems. Internatonal Ste Characterzaton ISC Porto, Portugal, 9-4, 4.
NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS
ARPN Journal of Engneerng and Appled Scences 006-017 Asan Research Publshng Network (ARPN). All rghts reserved. NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS Igor Grgoryev, Svetlana
More informationA Binarization Algorithm specialized on Document Images and Photos
A Bnarzaton Algorthm specalzed on Document mages and Photos Ergna Kavalleratou Dept. of nformaton and Communcaton Systems Engneerng Unversty of the Aegean kavalleratou@aegean.gr Abstract n ths paper, a
More informationThe Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole
Appled Mathematcs, 04, 5, 37-3 Publshed Onlne May 04 n ScRes. http://www.scrp.org/journal/am http://dx.do.org/0.436/am.04.584 The Research of Ellpse Parameter Fttng Algorthm of Ultrasonc Imagng Loggng
More informationImprovement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration
Improvement of Spatal Resoluton Usng BlockMatchng Based Moton Estmaton and Frame Integraton Danya Suga and Takayuk Hamamoto Graduate School of Engneerng, Tokyo Unversty of Scence, 6-3-1, Nuku, Katsuska-ku,
More informationFinite Element Analysis of Rubber Sealing Ring Resilience Behavior Qu Jia 1,a, Chen Geng 1,b and Yang Yuwei 2,c
Advanced Materals Research Onlne: 03-06-3 ISSN: 66-8985, Vol. 705, pp 40-44 do:0.408/www.scentfc.net/amr.705.40 03 Trans Tech Publcatons, Swtzerland Fnte Element Analyss of Rubber Sealng Rng Reslence Behavor
More informationMathematics 256 a course in differential equations for engineering students
Mathematcs 56 a course n dfferental equatons for engneerng students Chapter 5. More effcent methods of numercal soluton Euler s method s qute neffcent. Because the error s essentally proportonal to the
More informationR s s f. m y s. SPH3UW Unit 7.3 Spherical Concave Mirrors Page 1 of 12. Notes
SPH3UW Unt 7.3 Sphercal Concave Mrrors Page 1 of 1 Notes Physcs Tool box Concave Mrror If the reflectng surface takes place on the nner surface of the sphercal shape so that the centre of the mrror bulges
More informationAVO Modeling of Monochromatic Spherical Waves: Comparison to Band-Limited Waves
AVO Modelng of Monochromatc Sphercal Waves: Comparson to Band-Lmted Waves Charles Ursenbach* Unversty of Calgary, Calgary, AB, Canada ursenbach@crewes.org and Arnm Haase Unversty of Calgary, Calgary, AB,
More informationDistance Calculation from Single Optical Image
17 Internatonal Conference on Mathematcs, Modellng and Smulaton Technologes and Applcatons (MMSTA 17) ISBN: 978-1-6595-53-8 Dstance Calculaton from Sngle Optcal Image Xao-yng DUAN 1,, Yang-je WEI 1,,*
More informationSimulation: Solving Dynamic Models ABE 5646 Week 11 Chapter 2, Spring 2010
Smulaton: Solvng Dynamc Models ABE 5646 Week Chapter 2, Sprng 200 Week Descrpton Readng Materal Mar 5- Mar 9 Evaluatng [Crop] Models Comparng a model wth data - Graphcal, errors - Measures of agreement
More informationCluster Analysis of Electrical Behavior
Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School
More informationProper Choice of Data Used for the Estimation of Datum Transformation Parameters
Proper Choce of Data Used for the Estmaton of Datum Transformaton Parameters Hakan S. KUTOGLU, Turkey Key words: Coordnate systems; transformaton; estmaton, relablty. SUMMARY Advances n technologes and
More informationType-2 Fuzzy Non-uniform Rational B-spline Model with Type-2 Fuzzy Data
Malaysan Journal of Mathematcal Scences 11(S) Aprl : 35 46 (2017) Specal Issue: The 2nd Internatonal Conference and Workshop on Mathematcal Analyss (ICWOMA 2016) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES
More informationUSING GRAPHING SKILLS
Name: BOLOGY: Date: _ Class: USNG GRAPHNG SKLLS NTRODUCTON: Recorded data can be plotted on a graph. A graph s a pctoral representaton of nformaton recorded n a data table. t s used to show a relatonshp
More informationX- Chart Using ANOM Approach
ISSN 1684-8403 Journal of Statstcs Volume 17, 010, pp. 3-3 Abstract X- Chart Usng ANOM Approach Gullapall Chakravarth 1 and Chaluvad Venkateswara Rao Control lmts for ndvdual measurements (X) chart are
More informationBioTechnology. An Indian Journal FULL PAPER. Trade Science Inc.
[Type text] [Type text] [Type text] ISSN : 0974-74 Volume 0 Issue BoTechnology 04 An Indan Journal FULL PAPER BTAIJ 0() 04 [684-689] Revew on Chna s sports ndustry fnancng market based on market -orented
More informationContent Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers
IOSR Journal of Electroncs and Communcaton Engneerng (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue, Ver. IV (Mar - Apr. 04), PP 0-07 Content Based Image Retreval Usng -D Dscrete Wavelet wth
More informationVibration Characteristic Analysis of Axial Fan Shell Based on ANSYS Workbench
Internatonal Conference on Logstcs Engneerng, Management and Computer Scence (LEMCS 2015) Vbraton Characterstc Analyss of Axal Fan Shell Based on ANSYS Workbench Lchun Gu College of Mechancal and Electrcal
More informationAn Image Fusion Approach Based on Segmentation Region
Rong Wang, L-Qun Gao, Shu Yang, Yu-Hua Cha, and Yan-Chun Lu An Image Fuson Approach Based On Segmentaton Regon An Image Fuson Approach Based on Segmentaton Regon Rong Wang, L-Qun Gao, Shu Yang 3, Yu-Hua
More informationS1 Note. Basis functions.
S1 Note. Bass functons. Contents Types of bass functons...1 The Fourer bass...2 B-splne bass...3 Power and type I error rates wth dfferent numbers of bass functons...4 Table S1. Smulaton results of type
More informationPHOTOGRAMMETRIC ANALYSIS OF ASYNCHRONOUSLY ACQUIRED IMAGE SEQUENCES
PHOTOGRAMMETRIC ANALYSIS OF ASYNCHRONOUSLY ACQUIRED IMAGE SEQUENCES Karsten Raguse 1, Chrstan Hepke 2 1 Volkswagen AG, Research & Development, Dept. EZTV, Letter Box 1788, 38436 Wolfsburg, Germany Emal:
More informationDynamic wetting property investigation of AFM tips in micro/nanoscale
Dynamc wettng property nvestgaton of AFM tps n mcro/nanoscale The wettng propertes of AFM probe tps are of concern n AFM tp related force measurement, fabrcaton, and manpulaton technques, such as dp-pen
More informationy and the total sum of
Lnear regresson Testng for non-lnearty In analytcal chemstry, lnear regresson s commonly used n the constructon of calbraton functons requred for analytcal technques such as gas chromatography, atomc absorpton
More informationREFRACTION. a. To study the refraction of light from plane surfaces. b. To determine the index of refraction for Acrylic and Water.
Purpose Theory REFRACTION a. To study the refracton of lght from plane surfaces. b. To determne the ndex of refracton for Acrylc and Water. When a ray of lght passes from one medum nto another one of dfferent
More informationSteps for Computing the Dissimilarity, Entropy, Herfindahl-Hirschman and. Accessibility (Gravity with Competition) Indices
Steps for Computng the Dssmlarty, Entropy, Herfndahl-Hrschman and Accessblty (Gravty wth Competton) Indces I. Dssmlarty Index Measurement: The followng formula can be used to measure the evenness between
More information2x x l. Module 3: Element Properties Lecture 4: Lagrange and Serendipity Elements
Module 3: Element Propertes Lecture : Lagrange and Serendpty Elements 5 In last lecture note, the nterpolaton functons are derved on the bass of assumed polynomal from Pascal s trangle for the fled varable.
More information3D Virtual Eyeglass Frames Modeling from Multiple Camera Image Data Based on the GFFD Deformation Method
NICOGRAPH Internatonal 2012, pp. 114-119 3D Vrtual Eyeglass Frames Modelng from Multple Camera Image Data Based on the GFFD Deformaton Method Norak Tamura, Somsangouane Sngthemphone and Katsuhro Ktama
More informationAn Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc.
[Type text] [Type text] [Type text] ISSN : 97-735 Volume Issue 9 BoTechnology An Indan Journal FULL PAPER BTAIJ, (9), [333-3] Matlab mult-dmensonal model-based - 3 Chnese football assocaton super league
More informationComplex Numbers. Now we also saw that if a and b were both positive then ab = a b. For a second let s forget that restriction and do the following.
Complex Numbers The last topc n ths secton s not really related to most of what we ve done n ths chapter, although t s somewhat related to the radcals secton as we wll see. We also won t need the materal
More informationSLAM Summer School 2006 Practical 2: SLAM using Monocular Vision
SLAM Summer School 2006 Practcal 2: SLAM usng Monocular Vson Javer Cvera, Unversty of Zaragoza Andrew J. Davson, Imperal College London J.M.M Montel, Unversty of Zaragoza. josemar@unzar.es, jcvera@unzar.es,
More informationHermite Splines in Lie Groups as Products of Geodesics
Hermte Splnes n Le Groups as Products of Geodescs Ethan Eade Updated May 28, 2017 1 Introducton 1.1 Goal Ths document defnes a curve n the Le group G parametrzed by tme and by structural parameters n the
More informationDependence of the Color Rendering Index on the Luminance of Light Sources and Munsell Samples
Australan Journal of Basc and Appled Scences, 4(10): 4609-4613, 2010 ISSN 1991-8178 Dependence of the Color Renderng Index on the Lumnance of Lght Sources and Munsell Samples 1 A. EL-Bally (Physcs Department),
More informationMULTISPECTRAL IMAGES CLASSIFICATION BASED ON KLT AND ATR AUTOMATIC TARGET RECOGNITION
MULTISPECTRAL IMAGES CLASSIFICATION BASED ON KLT AND ATR AUTOMATIC TARGET RECOGNITION Paulo Quntlano 1 & Antono Santa-Rosa 1 Federal Polce Department, Brasla, Brazl. E-mals: quntlano.pqs@dpf.gov.br and
More informationLearning the Kernel Parameters in Kernel Minimum Distance Classifier
Learnng the Kernel Parameters n Kernel Mnmum Dstance Classfer Daoqang Zhang 1,, Songcan Chen and Zh-Hua Zhou 1* 1 Natonal Laboratory for Novel Software Technology Nanjng Unversty, Nanjng 193, Chna Department
More informationTsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance
Tsnghua Unversty at TAC 2009: Summarzng Mult-documents by Informaton Dstance Chong Long, Mnle Huang, Xaoyan Zhu State Key Laboratory of Intellgent Technology and Systems, Tsnghua Natonal Laboratory for
More informationDesign of Structure Optimization with APDL
Desgn of Structure Optmzaton wth APDL Yanyun School of Cvl Engneerng and Archtecture, East Chna Jaotong Unversty Nanchang 330013 Chna Abstract In ths paper, the desgn process of structure optmzaton wth
More informationSimulation Based Analysis of FAST TCP using OMNET++
Smulaton Based Analyss of FAST TCP usng OMNET++ Umar ul Hassan 04030038@lums.edu.pk Md Term Report CS678 Topcs n Internet Research Sprng, 2006 Introducton Internet traffc s doublng roughly every 3 months
More informationTHE MAP MATCHING ALGORITHM OF GPS DATA WITH RELATIVELY LONG POLLING TIME INTERVALS
THE MA MATCHING ALGORITHM OF GS DATA WITH RELATIVELY LONG OLLING TIME INTERVALS Jae-seok YANG Graduate Student Graduate School of Engneerng Seoul Natonal Unversty San56-, Shllm-dong, Gwanak-gu, Seoul,
More informationComparison of traveltime inversions on a limestone structure
Comparson of traveltme nversons on a lmestone structure Comparson of traveltme nversons on a lmestone structure Matthew D. Allen and Robert R. Stewart ABSRAC Four traveltme nverson technques were appled
More informationA MOVING MESH APPROACH FOR SIMULATION BUDGET ALLOCATION ON CONTINUOUS DOMAINS
Proceedngs of the Wnter Smulaton Conference M E Kuhl, N M Steger, F B Armstrong, and J A Jones, eds A MOVING MESH APPROACH FOR SIMULATION BUDGET ALLOCATION ON CONTINUOUS DOMAINS Mark W Brantley Chun-Hung
More informationSoftware Trustworthiness Static Measurement Model and the Tool
Avalable onlne at www.jpe-onlne.com vol. 13, no. 7, November 2017, pp. 1101-1110 DOI: 10.23940/jpe.17.07.p13.11011110 Software Trustworthness Statc Measurement Model and the Tool Yan L, Zhqang Wu, Yxang
More informationSupport Vector Machines
/9/207 MIST.6060 Busness Intellgence and Data Mnng What are Support Vector Machnes? Support Vector Machnes Support Vector Machnes (SVMs) are supervsed learnng technques that analyze data and recognze patterns.
More informationHigh-Boost Mesh Filtering for 3-D Shape Enhancement
Hgh-Boost Mesh Flterng for 3-D Shape Enhancement Hrokazu Yagou Λ Alexander Belyaev y Damng We z Λ y z ; ; Shape Modelng Laboratory, Unversty of Azu, Azu-Wakamatsu 965-8580 Japan y Computer Graphcs Group,
More informationA Statistical Model Selection Strategy Applied to Neural Networks
A Statstcal Model Selecton Strategy Appled to Neural Networks Joaquín Pzarro Elsa Guerrero Pedro L. Galndo joaqun.pzarro@uca.es elsa.guerrero@uca.es pedro.galndo@uca.es Dpto Lenguajes y Sstemas Informátcos
More informationVirtual Machine Migration based on Trust Measurement of Computer Node
Appled Mechancs and Materals Onlne: 2014-04-04 ISSN: 1662-7482, Vols. 536-537, pp 678-682 do:10.4028/www.scentfc.net/amm.536-537.678 2014 Trans Tech Publcatons, Swtzerland Vrtual Machne Mgraton based on
More informationAnalysis of Continuous Beams in General
Analyss of Contnuous Beams n General Contnuous beams consdered here are prsmatc, rgdly connected to each beam segment and supported at varous ponts along the beam. onts are selected at ponts of support,
More informationSmoothing Spline ANOVA for variable screening
Smoothng Splne ANOVA for varable screenng a useful tool for metamodels tranng and mult-objectve optmzaton L. Rcco, E. Rgon, A. Turco Outlne RSM Introducton Possble couplng Test case MOO MOO wth Game Theory
More informationConditional Speculative Decimal Addition*
Condtonal Speculatve Decmal Addton Alvaro Vazquez and Elsardo Antelo Dep. of Electronc and Computer Engneerng Unv. of Santago de Compostela, Span Ths work was supported n part by Xunta de Galca under grant
More informationWishing you all a Total Quality New Year!
Total Qualty Management and Sx Sgma Post Graduate Program 214-15 Sesson 4 Vnay Kumar Kalakband Assstant Professor Operatons & Systems Area 1 Wshng you all a Total Qualty New Year! Hope you acheve Sx sgma
More informationResearch and Application of Fingerprint Recognition Based on MATLAB
Send Orders for Reprnts to reprnts@benthamscence.ae The Open Automaton and Control Systems Journal, 205, 7, 07-07 Open Access Research and Applcaton of Fngerprnt Recognton Based on MATLAB Nng Lu* Department
More informationDESIGN OF A HAPTIC DEVICE FOR EXCAVATOR EQUIPPED WITH CRUSHER
DESIGN OF A HAPTIC DEVICE FOR EXCAVATOR EQUIPPED WITH CRUSHER Kyeong Won Oh, Dongnam Km Korea Unversty, Graduate School 5Ga-1, Anam-Dong, Sungbuk-Gu, Seoul, Korea {locosk, smleast}@korea.ac.kr Jong-Hyup
More informationSolutions to Programming Assignment Five Interpolation and Numerical Differentiation
College of Engneerng and Coputer Scence Mechancal Engneerng Departent Mechancal Engneerng 309 Nuercal Analyss of Engneerng Systes Sprng 04 Nuber: 537 Instructor: Larry Caretto Solutons to Prograng Assgnent
More informationUser Authentication Based On Behavioral Mouse Dynamics Biometrics
User Authentcaton Based On Behavoral Mouse Dynamcs Bometrcs Chee-Hyung Yoon Danel Donghyun Km Department of Computer Scence Department of Computer Scence Stanford Unversty Stanford Unversty Stanford, CA
More informationAccounting for the Use of Different Length Scale Factors in x, y and z Directions
1 Accountng for the Use of Dfferent Length Scale Factors n x, y and z Drectons Taha Soch (taha.soch@kcl.ac.uk) Imagng Scences & Bomedcal Engneerng, Kng s College London, The Rayne Insttute, St Thomas Hosptal,
More informationA Clustering Algorithm for Key Frame Extraction Based on Density Peak
Journal of Computer and Communcatons, 2018, 6, 118-128 http://www.scrp.org/ournal/cc ISSN Onlne: 2327-5227 ISSN Prnt: 2327-5219 A Clusterng Algorthm for Key Frame Extracton Based on Densty Peak Hong Zhao
More informationA Fast Visual Tracking Algorithm Based on Circle Pixels Matching
A Fast Vsual Trackng Algorthm Based on Crcle Pxels Matchng Zhqang Hou hou_zhq@sohu.com Chongzhao Han czhan@mal.xjtu.edu.cn Ln Zheng Abstract: A fast vsual trackng algorthm based on crcle pxels matchng
More informationModeling of Fillets in Thin-walled Beams Using Shell/Plate and Beam Finite. Elements
Modelng of Fllets n Thn-walled Beams Usng Shell/Plate and Beam Fnte Elements K. He Graduate Research Assstant W.D. Zhu Professor and Correspondng Author Emal: wzhu@umbc.edu; Tel: 410-455-3394 Department
More information5.0 Quality Assurance
5.0 Dr. Fred Omega Garces Analytcal Chemstry 25 Natural Scence, Mramar College Bascs of s what we do to get the rght answer for our purpose QA s planned and refers to planned and systematc producton processes
More informationTerm Weighting Classification System Using the Chi-square Statistic for the Classification Subtask at NTCIR-6 Patent Retrieval Task
Proceedngs of NTCIR-6 Workshop Meetng, May 15-18, 2007, Tokyo, Japan Term Weghtng Classfcaton System Usng the Ch-square Statstc for the Classfcaton Subtask at NTCIR-6 Patent Retreval Task Kotaro Hashmoto
More informationParallelism for Nested Loops with Non-uniform and Flow Dependences
Parallelsm for Nested Loops wth Non-unform and Flow Dependences Sam-Jn Jeong Dept. of Informaton & Communcaton Engneerng, Cheonan Unversty, 5, Anseo-dong, Cheonan, Chungnam, 330-80, Korea. seong@cheonan.ac.kr
More informationLearning-Based Top-N Selection Query Evaluation over Relational Databases
Learnng-Based Top-N Selecton Query Evaluaton over Relatonal Databases Lang Zhu *, Wey Meng ** * School of Mathematcs and Computer Scence, Hebe Unversty, Baodng, Hebe 071002, Chna, zhu@mal.hbu.edu.cn **
More informationSix-Band HDTV Camera System for Color Reproduction Based on Spectral Information
IS&T's 23 PICS Conference Sx-Band HDTV Camera System for Color Reproducton Based on Spectral Informaton Kenro Ohsawa )4), Hroyuk Fukuda ), Takeyuk Ajto 2),Yasuhro Komya 2), Hdeak Hanesh 3), Masahro Yamaguch
More informationUrbaWind, a Computational Fluid Dynamics tool to predict wind resource in urban area
UrbaWnd, a Computatonal Flud Dynamcs tool to predct wnd resource n urban area Karm FAHSSIS a, Gullaume DUPONT a, Perre LEYRONNAS a a Meteodyn, Nantes, France Presentng Author: Karm.fahsss@meteodyn.com,
More informationLoad Balancing for Hex-Cell Interconnection Network
Int. J. Communcatons, Network and System Scences,,, - Publshed Onlne Aprl n ScRes. http://www.scrp.org/journal/jcns http://dx.do.org/./jcns.. Load Balancng for Hex-Cell Interconnecton Network Saher Manaseer,
More informationFeature Reduction and Selection
Feature Reducton and Selecton Dr. Shuang LIANG School of Software Engneerng TongJ Unversty Fall, 2012 Today s Topcs Introducton Problems of Dmensonalty Feature Reducton Statstc methods Prncpal Components
More information3D vector computer graphics
3D vector computer graphcs Paolo Varagnolo: freelance engneer Padova Aprl 2016 Prvate Practce ----------------------------------- 1. Introducton Vector 3D model representaton n computer graphcs requres
More informationSkew Angle Estimation and Correction of Hand Written, Textual and Large areas of Non-Textual Document Images: A Novel Approach
Angle Estmaton and Correcton of Hand Wrtten, Textual and Large areas of Non-Textual Document Images: A Novel Approach D.R.Ramesh Babu Pyush M Kumat Mahesh D Dhannawat PES Insttute of Technology Research
More informationA proposal for the motion analysis method of skiing turn by measurement of orientation and gliding trajectory
Avalable onlne at www.scencedrect.com Proceda Engneerng 13 (211) 17 22 5 th Asa-Pacfc Congress on Sports Technology (APCST) A proposal for the moton analyss method of skng turn by measurement of orentaton
More informationAnalysis of 3D Cracks in an Arbitrary Geometry with Weld Residual Stress
Analyss of 3D Cracks n an Arbtrary Geometry wth Weld Resdual Stress Greg Thorwald, Ph.D. Ted L. Anderson, Ph.D. Structural Relablty Technology, Boulder, CO Abstract Materals contanng flaws lke nclusons
More informationTECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS. Muradaliyev A.Z.
TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS Muradalyev AZ Azerbajan Scentfc-Research and Desgn-Prospectng Insttute of Energetc AZ1012, Ave HZardab-94 E-mal:aydn_murad@yahoocom Importance of
More informationProblem Definitions and Evaluation Criteria for Computational Expensive Optimization
Problem efntons and Evaluaton Crtera for Computatonal Expensve Optmzaton B. Lu 1, Q. Chen and Q. Zhang 3, J. J. Lang 4, P. N. Suganthan, B. Y. Qu 6 1 epartment of Computng, Glyndwr Unversty, UK Faclty
More informationModule 6: FEM for Plates and Shells Lecture 6: Finite Element Analysis of Shell
Module 6: FEM for Plates and Shells Lecture 6: Fnte Element Analyss of Shell 3 6.6. Introducton A shell s a curved surface, whch by vrtue of ther shape can wthstand both membrane and bendng forces. A shell
More informationTEST-05 TOPIC: OPTICS COMPLETE
Q. A boy s walkng under an nclned mrror at a constant velocty V m/s along the x-axs as shown n fgure. If the mrror s nclned at an angle wth the horzontal then what s the velocty of the mage? Y V sn + V
More informationPositive Semi-definite Programming Localization in Wireless Sensor Networks
Postve Sem-defnte Programmng Localzaton n Wreless Sensor etworks Shengdong Xe 1,, Jn Wang, Aqun Hu 1, Yunl Gu, Jang Xu, 1 School of Informaton Scence and Engneerng, Southeast Unversty, 10096, anjng Computer
More informationAUTOMATED METHOD FOR STATISTICAL PROCESSING OF AE TESTING DATA
AUTOMATED METHOD FOR STATISTICAL PROCESSING OF AE TESTING DATA V. A. Barat and A. L. Alyakrtsky Research Dept, Interuns Ltd., bld. 24, corp 3-4, Myasntskaya str., Moscow, 0000, Russa Keywords: sgnal processng,
More informationSURFACE PROFILE EVALUATION BY FRACTAL DIMENSION AND STATISTIC TOOLS USING MATLAB
SURFACE PROFILE EVALUATION BY FRACTAL DIMENSION AND STATISTIC TOOLS USING MATLAB V. Hotař, A. Hotař Techncal Unversty of Lberec, Department of Glass Producng Machnes and Robotcs, Department of Materal
More informationAnalysis on the Workspace of Six-degrees-of-freedom Industrial Robot Based on AutoCAD
Analyss on the Workspace of Sx-degrees-of-freedom Industral Robot Based on AutoCAD Jn-quan L 1, Ru Zhang 1,a, Fang Cu 1, Q Guan 1 and Yang Zhang 1 1 School of Automaton, Bejng Unversty of Posts and Telecommuncatons,
More informationKiran Joy, International Journal of Advanced Engineering Technology E-ISSN
Kran oy, nternatonal ournal of Advanced Engneerng Technology E-SS 0976-3945 nt Adv Engg Tech/Vol. V/ssue /Aprl-une,04/9-95 Research Paper DETERMATO O RADATVE VEW ACTOR WTOUT COSDERG TE SADOWG EECT Kran
More informationChannel model of pinhole gamma camera
Artcle Nuclear Scence & Technology September 0 Vol.56 No.5: 758 763 do: 0.007/s434-0-4606-9 Channel model of pnhole gamma camera DAI QuSheng Suzhou Insttute of Bomedcal Engneerng and Technology, Chnese
More informationA Deflected Grid-based Algorithm for Clustering Analysis
A Deflected Grd-based Algorthm for Clusterng Analyss NANCY P. LIN, CHUNG-I CHANG, HAO-EN CHUEH, HUNG-JEN CHEN, WEI-HUA HAO Department of Computer Scence and Informaton Engneerng Tamkang Unversty 5 Yng-chuan
More informationA CALCULATION METHOD OF DEEP WEB ENTITIES RECOGNITION
A CALCULATION METHOD OF DEEP WEB ENTITIES RECOGNITION 1 FENG YONG, DANG XIAO-WAN, 3 XU HONG-YAN School of Informaton, Laonng Unversty, Shenyang Laonng E-mal: 1 fyxuhy@163.com, dangxaowan@163.com, 3 xuhongyan_lndx@163.com
More informationA Simple and Efficient Goal Programming Model for Computing of Fuzzy Linear Regression Parameters with Considering Outliers
62626262621 Journal of Uncertan Systems Vol.5, No.1, pp.62-71, 211 Onlne at: www.us.org.u A Smple and Effcent Goal Programmng Model for Computng of Fuzzy Lnear Regresson Parameters wth Consderng Outlers
More informationAn Efficient Genetic Algorithm with Fuzzy c-means Clustering for Traveling Salesman Problem
An Effcent Genetc Algorthm wth Fuzzy c-means Clusterng for Travelng Salesman Problem Jong-Won Yoon and Sung-Bae Cho Dept. of Computer Scence Yonse Unversty Seoul, Korea jwyoon@sclab.yonse.ac.r, sbcho@cs.yonse.ac.r
More informationUsing Fuzzy Logic to Enhance the Large Size Remote Sensing Images
Internatonal Journal of Informaton and Electroncs Engneerng Vol. 5 No. 6 November 015 Usng Fuzzy Logc to Enhance the Large Sze Remote Sensng Images Trung Nguyen Tu Huy Ngo Hoang and Thoa Vu Van Abstract
More informationHigh resolution 3D Tau-p transform by matching pursuit Weiping Cao* and Warren S. Ross, Shearwater GeoServices
Hgh resoluton 3D Tau-p transform by matchng pursut Wepng Cao* and Warren S. Ross, Shearwater GeoServces Summary The 3D Tau-p transform s of vtal sgnfcance for processng sesmc data acqured wth modern wde
More informationA New Approach For the Ranking of Fuzzy Sets With Different Heights
New pproach For the ankng of Fuzzy Sets Wth Dfferent Heghts Pushpnder Sngh School of Mathematcs Computer pplcatons Thapar Unversty, Patala-7 00 Inda pushpndersnl@gmalcom STCT ankng of fuzzy sets plays
More informationInvestigations of Topology and Shape of Multi-material Optimum Design of Structures
Advanced Scence and Tecnology Letters Vol.141 (GST 2016), pp.241-245 ttp://dx.do.org/10.14257/astl.2016.141.52 Investgatons of Topology and Sape of Mult-materal Optmum Desgn of Structures Quoc Hoan Doan
More informationConnection-information-based connection rerouting for connection-oriented mobile communication networks
Dstrb. Syst. Engng 5 (1998) 47 65. Prnted n the UK PII: S0967-1846(98)90513-7 Connecton-nformaton-based connecton reroutng for connecton-orented moble communcaton networks Mnho Song, Yanghee Cho and Chongsang
More informationElectrical analysis of light-weight, triangular weave reflector antennas
Electrcal analyss of lght-weght, trangular weave reflector antennas Knud Pontoppdan TICRA Laederstraede 34 DK-121 Copenhagen K Denmark Emal: kp@tcra.com INTRODUCTION The new lght-weght reflector antenna
More informationSubspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points;
Subspace clusterng Clusterng Fundamental to all clusterng technques s the choce of dstance measure between data ponts; D q ( ) ( ) 2 x x = x x, j k = 1 k jk Squared Eucldean dstance Assumpton: All features
More informationAADL : about scheduling analysis
AADL : about schedulng analyss Schedulng analyss, what s t? Embedded real-tme crtcal systems have temporal constrants to meet (e.g. deadlne). Many systems are bult wth operatng systems provdng multtaskng
More informationThe Codesign Challenge
ECE 4530 Codesgn Challenge Fall 2007 Hardware/Software Codesgn The Codesgn Challenge Objectves In the codesgn challenge, your task s to accelerate a gven software reference mplementaton as fast as possble.
More informationSensor Selection with Grey Correlation Analysis for Remaining Useful Life Evaluation
Sensor Selecton wth Grey Correlaton Analyss for Remanng Useful Lfe valuaton Peng Yu, Xu Yong, Lu Datong, Peng Xyuan Automatc est Control Insttute, Harbn Insttute of echnology, Harbn, 5, Chna pengyu@ht.edu.cn
More informationParallel matrix-vector multiplication
Appendx A Parallel matrx-vector multplcaton The reduced transton matrx of the three-dmensonal cage model for gel electrophoress, descrbed n secton 3.2, becomes excessvely large for polymer lengths more
More informationAutomatic selection of reference velocities for recursive depth migration
Automatc selecton of mgraton veloctes Automatc selecton of reference veloctes for recursve depth mgraton Hugh D. Geger and Gary F. Margrave ABSTRACT Wave equaton depth mgraton methods such as phase-shft
More informationSome Advanced SPC Tools 1. Cumulative Sum Control (Cusum) Chart For the data shown in Table 9-1, the x chart can be generated.
Some Advanced SP Tools 1. umulatve Sum ontrol (usum) hart For the data shown n Table 9-1, the x chart can be generated. However, the shft taken place at sample #21 s not apparent. 92 For ths set samples,
More informationMaximum Variance Combined with Adaptive Genetic Algorithm for Infrared Image Segmentation
Internatonal Conference on Logstcs Engneerng, Management and Computer Scence (LEMCS 5) Maxmum Varance Combned wth Adaptve Genetc Algorthm for Infrared Image Segmentaton Huxuan Fu College of Automaton Harbn
More informationAn Application of the Dulmage-Mendelsohn Decomposition to Sparse Null Space Bases of Full Row Rank Matrices
Internatonal Mathematcal Forum, Vol 7, 2012, no 52, 2549-2554 An Applcaton of the Dulmage-Mendelsohn Decomposton to Sparse Null Space Bases of Full Row Rank Matrces Mostafa Khorramzadeh Department of Mathematcal
More informationVISUAL SELECTION OF SURFACE FEATURES DURING THEIR GEOMETRIC SIMULATION WITH THE HELP OF COMPUTER TECHNOLOGIES
UbCC 2011, Volume 6, 5002981-x manuscrpts OPEN ACCES UbCC Journal ISSN 1992-8424 www.ubcc.org VISUAL SELECTION OF SURFACE FEATURES DURING THEIR GEOMETRIC SIMULATION WITH THE HELP OF COMPUTER TECHNOLOGIES
More informationStraight Line Detection Based on Particle Swarm Optimization
Sensors & ransducers 013 b IFSA http://www.sensorsportal.com Straght Lne Detecton Based on Partcle Swarm Optmzaton Shengzhou XU, Jun IE College of computer scence, South-Central Unverst for Natonaltes,
More information