Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters

Size: px
Start display at page:

Download "Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters"

Transcription

1 Frequency Selectve IQ Phase and IQ Ampltude Imbalance Adjustments for OFDM Drect Converson ransmtters Edmund Coersmeer, Ernst Zelnsk Noka, Meesmannstrasse 103, Bochum, Germany Abstract Low power and low cost analog front-end archtectures are requred to provde compettve applcatons based on e.g. the IEEE802.11a Wreless LAN standard. Drect converson analog front-end archtectures can fulfll these demands but may ntroduce unwanted mperfectons lke IQ ampltude and IQ phase errors. hs paper presents a fully dgtal soluton to elmnate frequency selectve IQ phase and IQ ampltude mbalance errors caused by the analog modulator n conjuncton wth low cost analog base-band flters. hs paper covers addtonally the relevant hardware and software parttonng of the related error detecton and error correcton blocks. Index erms OFDM, drect converson, frequency selectve IQ phase mbalance, frequency selectve IQ ampltude mbalance I. Introducton Fully dgtal compensaton technques for IQ phase and IQ ampltude mbalance errors provde advantages, because they offer a cheap soluton wth regards to the overall rado archtecture. he IQ mbalance errors can appear n the case of a drect converson analog frontend archtecture. hese archtectures are recommendable f the rado applcaton requres a low cost soluton. hs s very often true for portable or wreless devces such as IEEE802.11a Wreless LAN applcatons. o provde anyhow the requred hgh sgnal accuracy one has to guarantee that the analog drect converson front-end IQ mperfectons wll be elmnated satsfactory. he use of cheap analog front-end components mght ntroduce analog flter ampltude rpple and group delay, whch make the IQ mbalance errors frequency selectve. he frequency selectvty can be removed successfully by employng frequency selectve IQ phase and frequency selectve IQ ampltude adjustment algorthms. he here presented tme doman adjustment technques employ a decson drected IQ ampltude and flter pre-equalzer. he non-decson aded IQ phase adjustment provdes a pre-equalzer-lke archtecture and processes a certan amount of tme doman coeffcents, too. Both mperfectons, the frequency selectve IQ ampltude and IQ phase mbalance errors, can be assumed to vary very slowly over a certan perod of tme. Hence the IQ error detectons are requred durng the trackng phase relatvely seldom. In contrast to that the IQ error correctons are needed all the tme to correct all outgong samples contnuously. Hence t s possble to mplement the IQ error detecton algorthms va software on a Dgtal-Sgnal-Processor (DSP) and the IQ error correctons va hardware n an ASIC or FPGA. Based on an example for a drect converson OFDM transmtter ths paper wll present the mathematcal equatons for an IQ phase and IQ ampltude mbalance error generaton and the correspondng frequency selectve IQ phase and IQ ampltude error adjustments. For both algorthms there wll be gven an mplementaton overvew and smulaton results provde vsual comparablty. II. Drect Converson Front-End A possble drect converson analog front end for an IEEE802.11a OFDM transmtter s gven by fgure 1). Startng from the left upper corner n fgure 1) the dgtal IQ symbols are generated and the IFF block converts them from the frequency doman to the tme doman. he next block takes care about correctng the IQ ampltude and analog flter mperfectons va a preequalzer. he IQ phase error s pre-compensated by the IQ phase pre-equalzer. Both blocks operate on the deal ncomng tme doman symbols and pre-modfy these wth the correspondng correcton values.

2 After the IQ pre-processng has been fnshed the dgtal sgnal s handed over to the analog doman, where the analog low-pass flters mght nsert flter ampltude rpple and group delay. he analog base-band I-branch and the analog Q-branch dffer physcally and hence the analog flters most probably do not equal exactly. Hence the frequency selectve I- and Q-mperfectons n both branches dffer and the correctng pre-equalzers operate as real-number devces n both branches ndependently. Complex-number pre-equalzers would not be able to provde the requred correctons. BPSK, QPSK, QAM IFF RF Adaptve Flter + IQ Ampltude Pre-Equalzer 5-6 GHz IQ Ampltude Error Detecton Sgnal Measurement Adaptve IQ Phase-Equalzer IQ Phase Error Detecton IQ Estmaton Baseband Fg. 1. Example of an IEEE802.11a wreless LAN drect converson analog front-end. he analog IQ modulator wll add the IQ phase mbalance mperfectons. Fnally the outgong sgnal wll be measured at the antenna nput port. An analog envelope measurement s fed back to the dgtal baseband transmtter doman. he envelope can act as the sgnal source to fnd out the requred nformaton about the IQ mperfectons. A dgtal base-band block provdes estmates of the vrtual analog I- and Q-values at the antenna nput port wthout a down-modulaton process. Because the RF sgnal s real and not complex, one can only estmate base-band equvalent I- and Q- branch samples. In case of possble estmaton errors t can be assumed that the wrong values are neglgble durng the loops trackng phase. Durng the acquston mode the IQ estmaton n conjuncton wth the IQ feedback loops provde relable estmates, too. Durng that tme wrong estmates wll be low-pass fltered through the feedback loop archtecture. After the analog I- and Q-symbol estmaton has been calculated successfully, the frequency selectve IQ phase and IQ ampltude error detecton take place. he IQ phase error detecton s a blnd algorthm and requres only the IQ symbol nput from the estmaton block. he IQ ampltude and flter error detecton algorthm needs both, the analog IQ estmates and the correspondng deal IQ symbols. All nformaton s necessary, because the IQ ampltude and flter preequalzer s decson aded. After all errors have been calculated and the correcton coeffcents for both preequalzers have been provded, the feedback loops close wth the IQ correcton blocks. he next sectons wll provde mathematcal descrptons, block and mplementaton dagrams for the IQ phase and IQ ampltude error generaton and the error adjustments. III. IQ Phase Imbalance Error For the analog mxng process two sgnals, a sne- and a cosne-sgnal, have to be provded. Because of techncal reasons precse orthogonal functons cannot be guaranteed and hence an addtonal offset angle ϕ 0 wll be measurable between the sne- and cosnefunctons. hs phenomenon wll be called nonfrequency selectve IQ phase mbalance error. Addtonally the analog base-band components lke low-pass flters mght add frequency selectve mperfectons lke ampltude rpple or group delay. Hence the non-frequency selectve IQ phase mbalance mperfectons wll result n frequency selectve IQ phase mbalance naccuraces. he non-frequency IQ phase mbalance error s formulated n equaton (1). s'(t) = I'(t) + j Q(t) = I(t) + Q(t) sn( ϕ) + j Q(t) (1) One can see, that a certan part of the Q-branch, whch s proportonal to sn(ϕ), has been added to the I- branch. Hence the deal, un-correlated I- and Q- branches wll be correlated after an IQ phase error has been nserted. Before the IQ phase error nserton n equaton (1) takes place mperfect analog flters mght ntroduce frequency selectvty. Hence at the antenna nput port t s not possble anymore to dvde between the IQ phase mbalance and the analog flter effects. Hence dgtal pre-compensaton technques need to employ a pre-correctng sgnal that provdes frequency selectvty. hs can be acheved by a pre-equalzer-lke compensaton archtecture, whch wll be presented n ths paper. he IQ phase error nserton normally ntroduces at the same tme a small IQ ampltude error. hs addtonal IQ ampltude error has been neglected n equaton (1). IV. IQ Ampltude Imbalance Error he IQ ampltude mbalance error s formulated n equaton (2).

3 s' (t) = I'(t) + j Q '(t) = a I(t) + j b Q(t) (2) Each of the two branches can have an own amplfcaton factor, because analog I-branch and Q- branch components mght dffer n terms of ther amplfcaton. Because the analog flters wll ntroduce ampltude rpple n the pass-band the IQ mbalance errors mght become frequency dependent. A tme doman pre-equalzer handles the frequency selectve mperfectons [4]. he followng two sectons ntroduce the frequency selectve IQ phase and the frequency selectve IQ ampltude adjustment loops. V. Frequency Selectve IQ Phase Imbalance Adjustment In ths secton t s assumed that one or both analog base-band flters provde mperfectons. hese mperfectons could be one or more tems lke ampltude rpple or non-lnear flter phase behavor. Because of these addtonal mperfectons a nonfrequency selectve IQ phase mbalance adjustment loop locks to a wrong error value. Hence t s necessary to mplement an IQ phase mbalance error detector, whch s frequency selectve and able to cover analog flter mperfectons. he I and Q syntax defnes I and Q samples whch are afflcted by the frequency selectvty of the analog flters. Equaton (3) descrbes the mathematcal operatons for the error detecton e. N dfferent IQ phase errors are calculated. e [ n] = I [ n ( N 1) / 2] Q[ n ( 1) ] (3) = 1,2,, N In ths paper t s assumed that N s an odd number. Fgure 2) presents a possble mplementaton setup. he center-tap (N-1)/2 of the I-branch wll be multpled wth N dfferent values from the Q-branch. Equaton (4) shows that each error value e wll be low-pass fltered by ts own ntegrator. n [ n] = µ e [ k] c, = 1, k= 0, N (4) he constant µ descrbes the step wdth of the adaptaton loop. he fnal frequency selectve IQ phase mbalance error correcton wll be done by equaton (5) and fgure 3). I' [ n ( N 1) / 2] = 1,2,, N = I [ n ( N 1) / 2] N = 1 c and m > 0 [ n m] Q[ n ( 1) ] (5) he varable m descrbes the mplemented loop latency. Smlar to a normal pre-equalzer the Q-branch values from the tap-delay lne are multpled wth the correspondng correcton coeffcents c and are summed up. hs result s subtracted from the perfect I- branch center tap. Hence the dgtal I-branch values start to provde a frequency selectve IQ phase mbalance error, whch wll be compensated after the analog IQ phase mbalance error has been nserted. Frequency selectvty s needed to pass the analog baseband flters correctly. I Q I'[n-(N-1)/2] + - I'[n-(N-1)/2] I I[n-(N-1)/2] c 1 c 2 c 3 c 4 c N Q Q[n-(N-1)] Fg. 3) Frequency selectve IQ phase correcton. N=5. e 1 e 2 e 3 e 4 e N Fg. 2) Frequency selectve IQ phase mbalance error detector. N = 5. VI. Frequency Selectve IQ Ampltude Imbalance Adjustment In ths secton there wll be ntroduced an LMS based equalzer [4], whch does not operate wth complex coeffcents, but wth real ones. hs s unusual but makes t possble to handle I-branch and Q-branch mperfectons ndependently. he I-branch and Q-

4 branch flter mperfectons are generated by the analog base-band flters, whch are two real flters. he IQ ampltude error detecton wll be done va equaton (6). e I [ n] = I[ n] I[ n] (6) e n = Q n Q n Q [ ] [ ] [ ] From the deal transmtted symbols there wll be subtracted the mperfect estmated symbols. he calculated errors of both branches need not to be the same values. Hence there have to be calculated for both branches ndependent correcton coeffcents. hs s descrbed by equaton (7). he new coeffcents at the tme n+1 wll be calculated from the current coeffcents at the tme n and an addtonal addend. # [ n 1] = c [ n] + e [ n] D [ n] [ n] c + µ (7) I, Q I,Q I,Q I,Q h I,Q he addend conssts out of four factors. Frst the constant µ descrbes the step wdth. he step wdth defnes the loop accuracy, loop adaptaton speed or loop bandwdth. Because the expected IQ ampltude mbalance errors wll not change over a very long perod of tme the loop bandwdth needs not to be large and hence the loop accuracy can be hgh. he second factor s the calculated error from equaton (6). After that the product of the deal nput data matrx D and an approxmaton h # [3] of the analog flters h I,Q follows. he approxmatons of both analog flters wll be smple tap-delay lnes, provdng the same latency as the analog flters contan. After the update of the coeffcent vectors the correcton takes place n programmable FIR flters. VII. HW and SW Parttonng o enable a flexble rado desgn t s useful to mplement some functonalty va software and not only hardware. he advantage s that software code can be optmsed n an exstng rado envronment. A dsadvantage mght be that a Dgtal-Sgnal-Processor (DSP) has not enough processng power to calculate hgh data rate functons n tme. Both new adjustment loops requre three dfferent steps. he frst one takes care about the IQ sample estmaton from the envelope. he second provdes the error detecton of the IQ phase and IQ ampltude mperfectons. he last step handles the error correctons. Assumng that the IQ mperfectons are stable over a long perod of tme and they wll not change ther values rapdly t s possble to employ for the IQ sample estmaton and the IQ error detecton algorthms a DSP-based software approach. hs s possble because the low rate of error value changes does requre only a low rate of error detecton updates and a low rate of the IQ sample estmatons. Hence a DSP, whch mght not handle the same operatons on symbol rate n tme, wll be able to process now a lmted number of operatons based on a lower sample rate. Assumng that the DSP processng power s not enough to handle the symbol rate based error correctons t s stll necessary to employ hardware for both IQ correcton blocks. Fgure 4) provdes a hardwaresoftware parttonng overvew. hree blocks from fgure 1) have been replaced by the DSP. In ths new archtecture the envelope measurement results and deal IQ samples wll be transferred through the data bus to the processor. he nstructon memory provdes the software-based algorthms and the correcton values wll be transferred by the data bus to the IQ correcton blocks. he advantage of the software-based approach s the chance to change the IQ sample estmaton and error detecton after the overall system mplementaton has been fnalzed. he success of the IQ compensatons s strongly dependng on the algorthm development based on the modellng qualty of the analog components. Mght the analog components change wth regards to the used smulaton models, t s an advantage to be able to change the IQ sample estmaton and IQ error detecton, too. Changes of the analog components mght appear because of techncal or commercal reasons. BPSK, QPSK, QAM IFF Sgnal Measurement RF Fg. 4) DSP-based IQ estmaton and error detecton. VIII. Smulaton Results Adaptve Flter + IQ Ampltude Pre-Equalzer 5-6 GHz Adaptve IQ Phase-Equalzer Baseband Fgures 5)-8) show dfferent IQ dagrams n an IEEE802.11a OFDM envronment. Fgure 5) provdes the mperfect IQ symbols after deal down-modulaton. he mperfectons were caused by IQ phase and IQ ampltude errors. Frequency selectvty has been added by mperfect analog base-band flters. Both base-band flters have slghtly dfferent transferfunctons. DSP Data Bus Data & Instructon Memory

5 Fgure 8) provdes the requred accuracy. Both adjustment loops employ 19-coeffcents for each correcton loop. he constellaton ponts provde the requred accuracy. Fg. 5) Imperfect IQ dagram.ϕ = -10.a = 0.7,b = 1.0. Fgure 6) provdes the frst corrected results. A 19- coeffcent flter pre-equalzer and a non-frequency selectve IQ phase adjustment do not provde full IQ compensaton. Fg. 8) 19-coeffcent IQ phase adj., 19-coeffcent IQ ampltude adjustment. ϕ = -10. a = 0.7, b = 1.0. he remanng phase shft of about -10 has been generated by the IQ phase error and wll not be compensated. Fg. 6) 1-coeffcent IQ phase adj., 19-coeffcent IQ ampltude adjustment. ϕ = -10. a = 0.7, b = 1.0. Fgure 7) dffers from fgure 6) only because the IQ phase pre-equalzer coeffcent number equals 3. IX. Concluson hs paper provdes two dfferent tme-doman algorthms to handle frequency selectve IQ phase and IQ ampltude mbalance errors n an OFDM transmtter. By parttonng the algorthms nto hardware and software t s possble to adapt crtcal parts of the dgtal algorthm based on new realzatons of the analog components. In the case of a software-based approach t s mportant to consder the loop update rate. he smulaton results show that the algorthms wll provde sgnfcant mprovements to the IQ samples n case of frequency selectve IQ mperfectons. References [1] A Novel IQ Imbalance Compensaton Scheme for the Recepton of OFDM Sgnals, A. Schuchert, R. Hasholzner, IEEE rans. on Consumer Elec., Vol. 47 Is. 3, Aug. 01 [2] Frequency Selectve IQ Phase Imbalance Adjustment n OFDM Drect Converson Recevers, E. Coersmeer, IEEE ISCE 02, Erfurt, Germany [3] Comparson Between Dfferent Adaptve Pre-Equalzaton Approaches For WLAN, E. Coersmeer, E. Zelnsk, IEEE PIMRC 2002, Lsabon, Portugal [4] Adaptve Flter heory, Smon Haykn, Prentce Hall hrd Edton, 1996 Fg. 7) 3-coeffcent IQ phase adj., 19-coeffcent IQ ampltude adjustment. ϕ = -10. a = 0.7, b = 1.0.

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo. ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract

More information

An RFID Distance Bounding Protocol

An RFID Distance Bounding Protocol An RFID Dstance Boundng Protocol Gerhard P. Hancke and Markus G. Kuhn May 22, 2006 An RFID Dstance Boundng Protocol p. 1 Dstance boundng Verfer d Prover Places an upper bound on physcal dstance Does not

More information

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

Traffic State Estimation in the Traffic Management Center of Berlin

Traffic State Estimation in the Traffic Management Center of Berlin Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,

More information

On-Line Fault Detection in Wind Turbine Transmission System using Adaptive Filter and Robust Statistical Features

On-Line Fault Detection in Wind Turbine Transmission System using Adaptive Filter and Robust Statistical Features On-Lne Fault Detecton n Wnd Turbne Transmsson System usng Adaptve Flter and Robust Statstcal Features Ruoyu L Remote Dagnostcs Center SKF USA Inc. 3443 N. Sam Houston Pkwy., Houston TX 77086 Emal: ruoyu.l@skf.com

More information

Implementation of Deutsch's Algorithm Using Mathcad

Implementation of Deutsch's Algorithm Using Mathcad Implementaton of Deutsch's Algorthm Usng Mathcad Frank Roux The followng s a Mathcad mplementaton of Davd Deutsch's quantum computer prototype as presented on pages - n "Machnes, Logc and Quantum Physcs"

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

More information

A Performance Analysis of View Maintenance Techniques for Data Warehouses

A Performance Analysis of View Maintenance Techniques for Data Warehouses A Performance Analyss of Vew Mantenance Technques for Data Warehouses Xng Wang Dell Computer Corporaton Round Roc, Texas Le Gruenwald The nversty of Olahoma School of Computer Scence orman, OK 739 Guangtao

More information

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika.

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika. VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual

More information

How To Understand The Results Of The German Meris Cloud And Water Vapour Product

How To Understand The Results Of The German Meris Cloud And Water Vapour Product Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller

More information

Adaptive Fractal Image Coding in the Frequency Domain

Adaptive Fractal Image Coding in the Frequency Domain PROCEEDINGS OF INTERNATIONAL WORKSHOP ON IMAGE PROCESSING: THEORY, METHODOLOGY, SYSTEMS AND APPLICATIONS 2-22 JUNE,1994 BUDAPEST,HUNGARY Adaptve Fractal Image Codng n the Frequency Doman K AI UWE BARTHEL

More information

GRAVITY DATA VALIDATION AND OUTLIER DETECTION USING L 1 -NORM

GRAVITY DATA VALIDATION AND OUTLIER DETECTION USING L 1 -NORM GRAVITY DATA VALIDATION AND OUTLIER DETECTION USING L 1 -NORM BARRIOT Jean-Perre, SARRAILH Mchel BGI/CNES 18.av.E.Beln 31401 TOULOUSE Cedex 4 (France) Emal: jean-perre.barrot@cnes.fr 1/Introducton The

More information

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedo-cho

More information

Vision Mouse. Saurabh Sarkar a* University of Cincinnati, Cincinnati, USA ABSTRACT 1. INTRODUCTION

Vision Mouse. Saurabh Sarkar a* University of Cincinnati, Cincinnati, USA ABSTRACT 1. INTRODUCTION Vson Mouse Saurabh Sarkar a* a Unversty of Cncnnat, Cncnnat, USA ABSTRACT The report dscusses a vson based approach towards trackng of eyes and fngers. The report descrbes the process of locatng the possble

More information

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of

More information

A Secure Password-Authenticated Key Agreement Using Smart Cards

A Secure Password-Authenticated Key Agreement Using Smart Cards A Secure Password-Authentcated Key Agreement Usng Smart Cards Ka Chan 1, Wen-Chung Kuo 2 and Jn-Chou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,

More information

Statistical Methods to Develop Rating Models

Statistical Methods to Develop Rating Models Statstcal Methods to Develop Ratng Models [Evelyn Hayden and Danel Porath, Österrechsche Natonalbank and Unversty of Appled Scences at Manz] Source: The Basel II Rsk Parameters Estmaton, Valdaton, and

More information

A Multi-Camera System on PC-Cluster for Real-time 3-D Tracking

A Multi-Camera System on PC-Cluster for Real-time 3-D Tracking The 23 rd Conference of the Mechancal Engneerng Network of Thaland November 4 7, 2009, Chang Ma A Mult-Camera System on PC-Cluster for Real-tme 3-D Trackng Vboon Sangveraphunsr*, Krtsana Uttamang, and

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

Lecture 2: Single Layer Perceptrons Kevin Swingler

Lecture 2: Single Layer Perceptrons Kevin Swingler Lecture 2: Sngle Layer Perceptrons Kevn Sngler kms@cs.str.ac.uk Recap: McCulloch-Ptts Neuron Ths vastly smplfed model of real neurons s also knon as a Threshold Logc Unt: W 2 A Y 3 n W n. A set of synapses

More information

VoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays

VoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays VoIP Playout Buffer Adjustment usng Adaptve Estmaton of Network Delays Mroslaw Narbutt and Lam Murphy* Department of Computer Scence Unversty College Dubln, Belfeld, Dubln, IRELAND Abstract The poor qualty

More information

A Crossplatform ECG Compression Library for Mobile HealthCare Services

A Crossplatform ECG Compression Library for Mobile HealthCare Services A Crossplatform ECG Compresson Lbrary for Moble HealthCare Servces Alexander Borodn, Yulya Zavyalova Department of Computer Scence Petrozavodsk State Unversty Petrozavodsk, Russa {aborod, yzavyalo}@cs.petrsu.ru

More information

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College Feature selecton for ntruson detecton Slobodan Petrovć NISlab, Gjøvk Unversty College Contents The feature selecton problem Intruson detecton Traffc features relevant for IDS The CFS measure The mrmr measure

More information

Inter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007.

Inter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. Inter-Ing 2007 INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. UNCERTAINTY REGION SIMULATION FOR A SERIAL ROBOT STRUCTURE MARIUS SEBASTIAN

More information

INVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS

INVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS 21 22 September 2007, BULGARIA 119 Proceedngs of the Internatonal Conference on Informaton Technologes (InfoTech-2007) 21 st 22 nd September 2007, Bulgara vol. 2 INVESTIGATION OF VEHICULAR USERS FAIRNESS

More information

Comparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions

Comparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions Comparson of Control Strateges for Shunt Actve Power Flter under Dfferent Load Condtons Sanjay C. Patel 1, Tushar A. Patel 2 Lecturer, Electrcal Department, Government Polytechnc, alsad, Gujarat, Inda

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications

Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications Adaptve Samplng for Energy Conservaton n Wreless Sensor Networks for Snow Montorng Applcatons Cesare Alpp *, Guseppe Anastas, Crstan Galpert *, Francesca Mancn, Manuel Rover * * Dp. d Elettronca e Informazone

More information

Open Access A Load Balancing Strategy with Bandwidth Constraint in Cloud Computing. Jing Deng 1,*, Ping Guo 2, Qi Li 3, Haizhu Chen 1

Open Access A Load Balancing Strategy with Bandwidth Constraint in Cloud Computing. Jing Deng 1,*, Ping Guo 2, Qi Li 3, Haizhu Chen 1 Send Orders for Reprnts to reprnts@benthamscence.ae The Open Cybernetcs & Systemcs Journal, 2014, 8, 115-121 115 Open Access A Load Balancng Strategy wth Bandwdth Constrant n Cloud Computng Jng Deng 1,*,

More information

An Enhanced Super-Resolution System with Improved Image Registration, Automatic Image Selection, and Image Enhancement

An Enhanced Super-Resolution System with Improved Image Registration, Automatic Image Selection, and Image Enhancement An Enhanced Super-Resoluton System wth Improved Image Regstraton, Automatc Image Selecton, and Image Enhancement Yu-Chuan Kuo ( ), Chen-Yu Chen ( ), and Chou-Shann Fuh ( ) Department of Computer Scence

More information

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008 Rsk-based Fatgue Estmate of Deep Water Rsers -- Course Project for EM388F: Fracture Mechancs, Sprng 2008 Chen Sh Department of Cvl, Archtectural, and Envronmental Engneerng The Unversty of Texas at Austn

More information

Testing and Debugging Resource Allocation for Fault Detection and Removal Process

Testing and Debugging Resource Allocation for Fault Detection and Removal Process Internatonal Journal of New Computer Archtectures and ther Applcatons (IJNCAA) 4(4): 93-00 The Socety of Dgtal Informaton and Wreless Communcatons, 04 (ISSN: 0-9085) Testng and Debuggng Resource Allocaton

More information

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL

More information

Fault tolerance in cloud technologies presented as a service

Fault tolerance in cloud technologies presented as a service Internatonal Scentfc Conference Computer Scence 2015 Pavel Dzhunev, PhD student Fault tolerance n cloud technologes presented as a servce INTRODUCTION Improvements n technques for vrtualzaton and performance

More information

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(7):1884-1889 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 A hybrd global optmzaton algorthm based on parallel

More information

Efficient Project Portfolio as a tool for Enterprise Risk Management

Efficient Project Portfolio as a tool for Enterprise Risk Management Effcent Proect Portfolo as a tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company January 5, 27 Effcent Proect Portfolo as a tool for Enterprse

More information

IMPACT ANALYSIS OF A CELLULAR PHONE

IMPACT ANALYSIS OF A CELLULAR PHONE 4 th ASA & μeta Internatonal Conference IMPACT AALYSIS OF A CELLULAR PHOE We Lu, 2 Hongy L Bejng FEAonlne Engneerng Co.,Ltd. Bejng, Chna ABSTRACT Drop test smulaton plays an mportant role n nvestgatng

More information

Section 5.3 Annuities, Future Value, and Sinking Funds

Section 5.3 Annuities, Future Value, and Sinking Funds Secton 5.3 Annutes, Future Value, and Snkng Funds Ordnary Annutes A sequence of equal payments made at equal perods of tme s called an annuty. The tme between payments s the payment perod, and the tme

More information

M-applications Development using High Performance Project Management Techniques

M-applications Development using High Performance Project Management Techniques M-applcatons Development usng Hgh Performance Project Management Technques PAUL POCATILU, MARIUS VETRICI Economc Informatcs Department Academy of Economc Studes 6 Pata Romana, Sector, Bucharest ROMANIA

More information

A Design Method of High-availability and Low-optical-loss Optical Aggregation Network Architecture

A Design Method of High-availability and Low-optical-loss Optical Aggregation Network Architecture A Desgn Method of Hgh-avalablty and Low-optcal-loss Optcal Aggregaton Network Archtecture Takehro Sato, Kuntaka Ashzawa, Kazumasa Tokuhash, Dasuke Ish, Satoru Okamoto and Naoak Yamanaka Dept. of Informaton

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12 14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed

More information

Lecture 3: Force of Interest, Real Interest Rate, Annuity

Lecture 3: Force of Interest, Real Interest Rate, Annuity Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and

More information

PAS: A Packet Accounting System to Limit the Effects of DoS & DDoS. Debish Fesehaye & Klara Naherstedt University of Illinois-Urbana Champaign

PAS: A Packet Accounting System to Limit the Effects of DoS & DDoS. Debish Fesehaye & Klara Naherstedt University of Illinois-Urbana Champaign PAS: A Packet Accountng System to Lmt the Effects of DoS & DDoS Debsh Fesehaye & Klara Naherstedt Unversty of Illnos-Urbana Champagn DoS and DDoS DDoS attacks are ncreasng threats to our dgtal world. Exstng

More information

Application of Multi-Agents for Fault Detection and Reconfiguration of Power Distribution Systems

Application of Multi-Agents for Fault Detection and Reconfiguration of Power Distribution Systems 1 Applcaton of Mult-Agents for Fault Detecton and Reconfguraton of Power Dstrbuton Systems K. Nareshkumar, Member, IEEE, M. A. Choudhry, Senor Member, IEEE, J. La, A. Felach, Senor Member, IEEE Abstract--The

More information

Damage detection in composite laminates using coin-tap method

Damage detection in composite laminates using coin-tap method Damage detecton n composte lamnates usng con-tap method S.J. Km Korea Aerospace Research Insttute, 45 Eoeun-Dong, Youseong-Gu, 35-333 Daejeon, Republc of Korea yaeln@kar.re.kr 45 The con-tap test has the

More information

Course outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy

Course outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy Fnancal Tme Seres Analyss Patrck McSharry patrck@mcsharry.net www.mcsharry.net Trnty Term 2014 Mathematcal Insttute Unversty of Oxford Course outlne 1. Data analyss, probablty, correlatons, vsualsaton

More information

QoS in the Linux Operating System. Technical Report

QoS in the Linux Operating System. Technical Report Unverstät Karlsruhe (H) Insttut für elematk QoS n the Lnux Operatng System echncal Report Marc Bechler and Hartmut Rtter Insttut für elematk Fakultät für Informatk Unverstät Karlsruhe (H) E-Mal: [mbechler

More information

V. Chandrasekhar. National Instruments, Austin, TX, USA E-mail: Vikram.Chandrasekhar@ni.com

V. Chandrasekhar. National Instruments, Austin, TX, USA E-mail: Vikram.Chandrasekhar@ni.com 28 Int. J. Embedded Systems, Vol. 3, No. 3, 2008 Reducng dynamc power consumpton n next generaton DS-CDMA moble communcaton recevers V. Chandrasekhar Natonal Instruments, Austn, TX, USA E-mal: Vkram.Chandrasekhar@n.com

More information

ADAPTIVE WIENER-TURBO SYSTEM AND ADAPTIVE WIENER-TURBO SYSTEMS WITH JPEG & BIT PLANE COMPRESSIONS

ADAPTIVE WIENER-TURBO SYSTEM AND ADAPTIVE WIENER-TURBO SYSTEMS WITH JPEG & BIT PLANE COMPRESSIONS ISTANBUL UNIVERSITY JOURNAL OF ELECTRICAL & ELECTRONICS ENGINEERING YEAR VOLUME NUMBER : 2007 : 7 : 1 (257-276) ADAPTIVE WIENER-TURBO SYSTEM AND ADAPTIVE WIENER-TURBO SYSTEMS WITH JPEG & BIT PLANE COMPRESSIONS

More information

Using Series to Analyze Financial Situations: Present Value

Using Series to Analyze Financial Situations: Present Value 2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated

More information

Forecasting the Direction and Strength of Stock Market Movement

Forecasting the Direction and Strength of Stock Market Movement Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye cjngwe@stanford.edu mchen5@stanford.edu nanye@stanford.edu Abstract - Stock market s one of the most complcated systems

More information

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by 6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng

More information

Calculating the high frequency transmission line parameters of power cables

Calculating the high frequency transmission line parameters of power cables < ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,

More information

Study on Model of Risks Assessment of Standard Operation in Rural Power Network

Study on Model of Risks Assessment of Standard Operation in Rural Power Network Study on Model of Rsks Assessment of Standard Operaton n Rural Power Network Qngj L 1, Tao Yang 2 1 Qngj L, College of Informaton and Electrcal Engneerng, Shenyang Agrculture Unversty, Shenyang 110866,

More information

A frequency decomposition time domain model of broadband frequency-dependent absorption: Model II

A frequency decomposition time domain model of broadband frequency-dependent absorption: Model II A frequenc decomposton tme doman model of broadband frequenc-dependent absorpton: Model II W. Chen Smula Research Laborator, P. O. Box. 134, 135 Lsaker, Norwa (1 Aprl ) (Proect collaborators: A. Bounam,

More information

Applied Research Laboratory. Decision Theory and Receiver Design

Applied Research Laboratory. Decision Theory and Receiver Design Decson Theor and Recever Desgn Sgnal Detecton and Performance Estmaton Sgnal Processor Decde Sgnal s resent or Sgnal s not resent Nose Nose Sgnal? Problem: How should receved sgnals be rocessed n order

More information

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña Proceedngs of the 2008 Wnter Smulaton Conference S. J. Mason, R. R. Hll, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler eds. A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo

More information

Rapid Estimation Method for Data Capacity and Spectrum Efficiency in Cellular Networks

Rapid Estimation Method for Data Capacity and Spectrum Efficiency in Cellular Networks Rapd Estmaton ethod for Data Capacty and Spectrum Effcency n Cellular Networs C.F. Ball, E. Humburg, K. Ivanov, R. üllner Semens AG, Communcatons oble Networs unch, Germany carsten.ball@semens.com Abstract

More information

A Dynamic Energy-Efficiency Mechanism for Data Center Networks

A Dynamic Energy-Efficiency Mechanism for Data Center Networks A Dynamc Energy-Effcency Mechansm for Data Center Networks Sun Lang, Zhang Jnfang, Huang Daochao, Yang Dong, Qn Yajuan A Dynamc Energy-Effcency Mechansm for Data Center Networks 1 Sun Lang, 1 Zhang Jnfang,

More information

Traffic-light a stress test for life insurance provisions

Traffic-light a stress test for life insurance provisions MEMORANDUM Date 006-09-7 Authors Bengt von Bahr, Göran Ronge Traffc-lght a stress test for lfe nsurance provsons Fnansnspetonen P.O. Box 6750 SE-113 85 Stocholm [Sveavägen 167] Tel +46 8 787 80 00 Fax

More information

IWFMS: An Internal Workflow Management System/Optimizer for Hadoop

IWFMS: An Internal Workflow Management System/Optimizer for Hadoop IWFMS: An Internal Workflow Management System/Optmzer for Hadoop Lan Lu, Yao Shen Department of Computer Scence and Engneerng Shangha JaoTong Unversty Shangha, Chna lustrve@gmal.com, yshen@cs.sjtu.edu.cn

More information

Non-symmetric membership function for Fuzzy-based visual servoing onboard a UAV.

Non-symmetric membership function for Fuzzy-based visual servoing onboard a UAV. 1 Non-symmetrc membershp functon for Fuzzy-based vsual servong onboard a UAV. M. A. Olvares-Méndez* and P. Campoy and C. Martínez and I. F. Mondragón B. Computer Vson Group, DISAM, Unversdad Poltécnca

More information

Can Auto Liability Insurance Purchases Signal Risk Attitude?

Can Auto Liability Insurance Purchases Signal Risk Attitude? Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang

More information

EVALUATING THE PERCEIVED QUALITY OF INFRASTRUCTURE-LESS VOIP. Kun-chan Lan and Tsung-hsun Wu

EVALUATING THE PERCEIVED QUALITY OF INFRASTRUCTURE-LESS VOIP. Kun-chan Lan and Tsung-hsun Wu EVALUATING THE PERCEIVED QUALITY OF INFRASTRUCTURE-LESS VOIP Kun-chan Lan and Tsung-hsun Wu Natonal Cheng Kung Unversty klan@cse.ncku.edu.tw, ryan@cse.ncku.edu.tw ABSTRACT Voce over IP (VoIP) s one of

More information

Computer Networks 55 (2011) 3503 3516. Contents lists available at ScienceDirect. Computer Networks. journal homepage: www.elsevier.

Computer Networks 55 (2011) 3503 3516. Contents lists available at ScienceDirect. Computer Networks. journal homepage: www.elsevier. Computer Networks 55 (2011) 3503 3516 Contents lsts avalable at ScenceDrect Computer Networks journal homepage: www.elsever.com/locate/comnet Bonded defct round robn schedulng for mult-channel networks

More information

An Intelligent Policy System for Channel Allocation of Information Appliance

An Intelligent Policy System for Channel Allocation of Information Appliance Tamkang Journal of Scence and Engneerng, Vol. 5, No., pp. 63-68 (2002) 63 An Intellgent Polcy System for Channel Allocaton of Informaton Applance Cheng-Yuan Ku, Chang-Jnn Tsao 2 and Davd Yen 3 Department

More information

POLYSA: A Polynomial Algorithm for Non-binary Constraint Satisfaction Problems with and

POLYSA: A Polynomial Algorithm for Non-binary Constraint Satisfaction Problems with and POLYSA: A Polynomal Algorthm for Non-bnary Constrant Satsfacton Problems wth and Mguel A. Saldo, Federco Barber Dpto. Sstemas Informátcos y Computacón Unversdad Poltécnca de Valenca, Camno de Vera s/n

More information

A system for real-time calculation and monitoring of energy performance and carbon emissions of RET systems and buildings

A system for real-time calculation and monitoring of energy performance and carbon emissions of RET systems and buildings A system for real-tme calculaton and montorng of energy performance and carbon emssons of RET systems and buldngs Dr PAAIOTIS PHILIMIS Dr ALESSADRO GIUSTI Dr STEPHE GARVI CE Technology Center Democratas

More information

An ILP Formulation for Task Mapping and Scheduling on Multi-core Architectures

An ILP Formulation for Task Mapping and Scheduling on Multi-core Architectures An ILP Formulaton for Task Mappng and Schedulng on Mult-core Archtectures Yng Y, We Han, Xn Zhao, Ahmet T. Erdogan and Tughrul Arslan Unversty of Ednburgh, The Kng's Buldngs, Mayfeld Road, Ednburgh, EH9

More information

Conferencing protocols and Petri net analysis

Conferencing protocols and Petri net analysis Conferencng protocols and Petr net analyss E. ANTONIDAKIS Department of Electroncs, Technologcal Educatonal Insttute of Crete, GREECE ena@chana.tecrete.gr Abstract: Durng a computer conference, users desre

More information

Section 5.4 Annuities, Present Value, and Amortization

Section 5.4 Annuities, Present Value, and Amortization Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today

More information

RequIn, a tool for fast web traffic inference

RequIn, a tool for fast web traffic inference RequIn, a tool for fast web traffc nference Olver aul, Jean Etenne Kba GET/INT, LOR Department 9 rue Charles Fourer 90 Evry, France Olver.aul@nt-evry.fr, Jean-Etenne.Kba@nt-evry.fr Abstract As networked

More information

A Hierarchical Anomaly Network Intrusion Detection System using Neural Network Classification

A Hierarchical Anomaly Network Intrusion Detection System using Neural Network Classification IDC IDC A Herarchcal Anomaly Network Intruson Detecton System usng Neural Network Classfcaton ZHENG ZHANG, JUN LI, C. N. MANIKOPOULOS, JAY JORGENSON and JOSE UCLES ECE Department, New Jersey Inst. of Tech.,

More information

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

COMPUTER SUPPORT OF SEMANTIC TEXT ANALYSIS OF A TECHNICAL SPECIFICATION ON DESIGNING SOFTWARE. Alla Zaboleeva-Zotova, Yulia Orlova

COMPUTER SUPPORT OF SEMANTIC TEXT ANALYSIS OF A TECHNICAL SPECIFICATION ON DESIGNING SOFTWARE. Alla Zaboleeva-Zotova, Yulia Orlova Internatonal Book Seres "Informaton Scence and Computng" 29 COMPUTE SUPPOT O SEMANTIC TEXT ANALYSIS O A TECHNICAL SPECIICATION ON DESIGNING SOTWAE Alla Zaboleeva-Zotova, Yula Orlova Abstract: The gven

More information

A GENERIC HANDOVER DECISION MANAGEMENT FRAMEWORK FOR NEXT GENERATION NETWORKS

A GENERIC HANDOVER DECISION MANAGEMENT FRAMEWORK FOR NEXT GENERATION NETWORKS A GENERIC HANDOVER DECISION MANAGEMENT FRAMEWORK FOR NEXT GENERATION NETWORKS Shanthy Menezes 1 and S. Venkatesan 2 1 Department of Computer Scence, Unversty of Texas at Dallas, Rchardson, TX, USA 1 shanthy.menezes@student.utdallas.edu

More information

Brigid Mullany, Ph.D University of North Carolina, Charlotte

Brigid Mullany, Ph.D University of North Carolina, Charlotte Evaluaton And Comparson Of The Dfferent Standards Used To Defne The Postonal Accuracy And Repeatablty Of Numercally Controlled Machnng Center Axes Brgd Mullany, Ph.D Unversty of North Carolna, Charlotte

More information

Correlated Noise Modeling - An Implementation into HICUM

Correlated Noise Modeling - An Implementation into HICUM Correlated ose Modelng - An Implementaton nto HICUM A. Chakravorty, M. chroter, P. akalas, J. Herrcht Char for Electron Devces and Integrated Crcuts (CEDIC) Unversty of Technology Dresden Germany Dept.

More information

Analysis of Energy-Conserving Access Protocols for Wireless Identification Networks

Analysis of Energy-Conserving Access Protocols for Wireless Identification Networks From the Proceedngs of Internatonal Conference on Telecommuncaton Systems (ITC-97), March 2-23, 1997. 1 Analyss of Energy-Conservng Access Protocols for Wreless Identfcaton etworks Imrch Chlamtac a, Chara

More information

Risk Model of Long-Term Production Scheduling in Open Pit Gold Mining

Risk Model of Long-Term Production Scheduling in Open Pit Gold Mining Rsk Model of Long-Term Producton Schedulng n Open Pt Gold Mnng R Halatchev 1 and P Lever 2 ABSTRACT Open pt gold mnng s an mportant sector of the Australan mnng ndustry. It uses large amounts of nvestments,

More information

ivoip: an Intelligent Bandwidth Management Scheme for VoIP in WLANs

ivoip: an Intelligent Bandwidth Management Scheme for VoIP in WLANs VoIP: an Intellgent Bandwdth Management Scheme for VoIP n WLANs Zhenhu Yuan and Gabrel-Mro Muntean Abstract Voce over Internet Protocol (VoIP) has been wdely used by many moble consumer devces n IEEE 802.11

More information

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP)

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP) 6.3 / -- Communcaton Networks II (Görg) SS20 -- www.comnets.un-bremen.de Communcaton Networks II Contents. Fundamentals of probablty theory 2. Emergence of communcaton traffc 3. Stochastc & Markovan Processes

More information

Analysis of Premium Liabilities for Australian Lines of Business

Analysis of Premium Liabilities for Australian Lines of Business Summary of Analyss of Premum Labltes for Australan Lnes of Busness Emly Tao Honours Research Paper, The Unversty of Melbourne Emly Tao Acknowledgements I am grateful to the Australan Prudental Regulaton

More information

Simple Interest Loans (Section 5.1) :

Simple Interest Loans (Section 5.1) : Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part

More information

M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS

M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS Bogdan Cubotaru, Gabrel-Mro Muntean Performance Engneerng Laboratory, RINCE School of Electronc Engneerng Dubln Cty

More information

Complex Service Provisioning in Collaborative Cloud Markets

Complex Service Provisioning in Collaborative Cloud Markets Melane Sebenhaar, Ulrch Lampe, Tm Lehrg, Sebastan Zöller, Stefan Schulte, Ralf Stenmetz: Complex Servce Provsonng n Collaboratve Cloud Markets. In: W. Abramowcz et al. (Eds.): Proceedngs of the 4th European

More information

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW.

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. Lucía Isabel García Cebrán Departamento de Economía y Dreccón de Empresas Unversdad de Zaragoza Gran Vía, 2 50.005 Zaragoza (Span) Phone: 976-76-10-00

More information

Dynamic Pricing for Smart Grid with Reinforcement Learning

Dynamic Pricing for Smart Grid with Reinforcement Learning Dynamc Prcng for Smart Grd wth Renforcement Learnng Byung-Gook Km, Yu Zhang, Mhaela van der Schaar, and Jang-Won Lee Samsung Electroncs, Suwon, Korea Department of Electrcal Engneerng, UCLA, Los Angeles,

More information

Time Domain simulation of PD Propagation in XLPE Cables Considering Frequency Dependent Parameters

Time Domain simulation of PD Propagation in XLPE Cables Considering Frequency Dependent Parameters Internatonal Journal of Smart Grd and Clean Energy Tme Doman smulaton of PD Propagaton n XLPE Cables Consderng Frequency Dependent Parameters We Zhang a, Jan He b, Ln Tan b, Xuejun Lv b, Hong-Je L a *

More information

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals FINANCIAL MATHEMATICS A Practcal Gude for Actuares and other Busness Professonals Second Edton CHRIS RUCKMAN, FSA, MAAA JOE FRANCIS, FSA, MAAA, CFA Study Notes Prepared by Kevn Shand, FSA, FCIA Assstant

More information

Single and multiple stage classifiers implementing logistic discrimination

Single and multiple stage classifiers implementing logistic discrimination Sngle and multple stage classfers mplementng logstc dscrmnaton Hélo Radke Bttencourt 1 Dens Alter de Olvera Moraes 2 Vctor Haertel 2 1 Pontfíca Unversdade Católca do Ro Grande do Sul - PUCRS Av. Ipranga,

More information

Hosted Voice Self Service Installation Guide

Hosted Voice Self Service Installation Guide Hosted Voce Self Servce Installaton Gude Contact us at 1-877-355-1501 learnmore@elnk.com www.earthlnk.com 2015 EarthLnk. Trademarks are property of ther respectve owners. All rghts reserved. 1071-07629

More information

+ + + - - This circuit than can be reduced to a planar circuit

+ + + - - This circuit than can be reduced to a planar circuit MeshCurrent Method The meshcurrent s analog of the nodeoltage method. We sole for a new set of arables, mesh currents, that automatcally satsfy KCLs. As such, meshcurrent method reduces crcut soluton to

More information

APPLICATION OF COMPUTER PROGRAMMING IN OPTIMIZATION OF TECHNOLOGICAL OBJECTIVES OF COLD ROLLING

APPLICATION OF COMPUTER PROGRAMMING IN OPTIMIZATION OF TECHNOLOGICAL OBJECTIVES OF COLD ROLLING Journal Journal of Chemcal of Chemcal Technology and and Metallurgy, 50, 6, 50, 2015, 6, 2015 638-643 APPLICATION OF COMPUTER PROGRAMMING IN OPTIMIZATION OF TECHNOLOGICAL OBJECTIVES OF COLD ROLLING Abdrakhman

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

SMART: Scalable, Bandwidth-Aware Monitoring of Continuous Aggregation Queries

SMART: Scalable, Bandwidth-Aware Monitoring of Continuous Aggregation Queries : Scalable, Bandwdth-Aware Montorng of Contnuous Aggregaton Queres Navendu Jan, Praveen Yalagandula, Mke Dahln, and Yn Zhang Unversty of Texas at Austn HP Labs ABSTRACT We present, a scalable, bandwdth-aware

More information

BUSINESS PROCESS PERFORMANCE MANAGEMENT USING BAYESIAN BELIEF NETWORK. 0688, dskim@ssu.ac.kr

BUSINESS PROCESS PERFORMANCE MANAGEMENT USING BAYESIAN BELIEF NETWORK. 0688, dskim@ssu.ac.kr Proceedngs of the 41st Internatonal Conference on Computers & Industral Engneerng BUSINESS PROCESS PERFORMANCE MANAGEMENT USING BAYESIAN BELIEF NETWORK Yeong-bn Mn 1, Yongwoo Shn 2, Km Jeehong 1, Dongsoo

More information