Empirical Study of Parking Problem on University Campus
|
|
- Duane Sims
- 7 years ago
- Views:
Transcription
1 JOURNAL OF TRANSPORTATION SYSTEMS ENGINEERING AND INFORMATION TECHNOLOGY Volume 7, Issue 2, Aprl 2007 Onlne Englsh edton of the Chnese language journal Cte ths artcle as: J Transpn Sys Eng & IT, 2007, 7(2), RESEARCH PAPER Emprcal Study of Parkng Problem on Unversty Campus SHANG Huayan, LIN Wenj, HUANG Hajun * School of Economcs and Management, Bejng Unversty of Aeronautcs and Astronautcs, Bejng , Chna Abstract: In recent years, more and more unversty employees tend to choose ther resdences n places outsde the campus. As a result of ths change, the number of prvate cars owned by them s ncreasng rapdly. In addton, the communcaton between unverstes and communtes has become much closer than before. Ths leads to a shortage of campus parkng capacty. Ths artcle has presented a case study of the campus parkng problem, takng the Bejng Unversty of Aeronautcs and Astronautcs as an example. The campus nflow and outflow of vehcles, the locaton and use of parkng lots as well as the drvers parkng behavor are surveyed and analyzed. The average parkng duraton and the use turnovers of parkng lots are computed from the survey data. Key Words: campus; parkng system; parkng lot; parkng behavor 1 Introducton The unversty campus provdes all staff and students a place for ther workng, studyng and even lvng. Parkng s one of the mportant topcs n urban transportaton plannng and traffc management. Ths s true too for the unversty campus. In recent years, Chna s hgher educaton has developed rapdly, whch has led to a dramatc ncrease of students educated on campuses and thus severe shortage of land used for teachng and researchng. For provdng students enough space for lvng and guaranteeng the land used for teachng and researchng, many unversty employees who orgnally lved on the campus are encouraged to move out. They have to buy prvate cars used for commutng between ther lvng places and the campus. Consequently the number of prvate cars owned by them has ncreased notably. In addton, the communcaton between unverstes and communtes s much closer than before because of the system reform currently occurrng n ths country. Therefore, how to formulate and manage the campus transportaton system, partcularly the parkng subsystem, has attracted much attenton n both academc and practcal crcles. Early n 1990, McIntyre made a survey n twenty-fve communty colleges n Calforna and recommended some measures for mprovng the campus parkng envronment. Carl and Davd (2001) appled mathematcal models to nvestgate the effects of varous campus parkng polces. In manland Chna, Leng and Yan (2003) examned the unversty campus systems for takng account of the specfc condtons. Song and Wang (2004) conducted several relevant surveys n Chnese unverstes. Overall, however, few systematc reports of the studes on campus parkng problems can be found n lterature. Ths artcle takes the campus of the Bejng Unversty of Aeronautcs and Astronautcs (BUAA) as an example, and ams to fnd the general features exstng n the campus parkng systems. Analyss has been made on the campus nflow and outflow of vehcles, locaton of parkng lots, and correspondng capacty, as well as the drvers parkng behavor. Moreover, the average parkng duraton of each vehcle and the use turnovers of some parkng areas have been computed. On the bass of these statstcal results, the problems have been explored and suggestons have been gven for mprovng the campus parkng system. It s expected that ths case study can beneft the solvng of smlar problems exstng n other unverstes. 2 Outlne of the survey method The BUAA campus, occupyng about one klometer square, looks lke a square. It can approxmately be dvded nto four areas accordng to ther functons, namely, the household zone, Receved date: *Correspondng author. E-mal: hajunhuang@buaa.edu.cn Foundaton tem: the Natonal Basc Research Program of Chna (2006CB705503) Copyrght 2007, Chna Assocaton for Scence and Technology. Electronc verson publshed by Elsever Lmted. All rghts reserved.
2 teachng zone, student dormtory zone and publc actvty zone. The teachng zone usually closes down on both vehcles and bcycles; the publc actvty and household zones bear the man responsblty for vehcle and bcycle parkng. All offce buldngs, refectores, shops, playgrounds, gymnasums, banks, post offces, afflated hosptal, kndergarten, prmary school and mddle school are located n the publc zone. There are 442 parkng lots totally wthn the publc zone. Although 663 parkng lots are avalable wthn the household zone and the external vehcles are allowed to park there, they stll choose to park n the publc zone. Ths s manly because the household zone s relatvely ndependent of other zones. Thus, the case study presented n ths artcle s only subject to the parkng problem wthn the publc zone. The north and southeast gates are the two channels for vehcles to enter or ext the campus. Therefore, surveyors are arranged to count the enterng and extng vehcles accordng to the n and out drectons at these two gates. For each vehcle, the entry and ext tmes are recorded together wth the last three numbers shown on ts lcense plate. Through comparng the lcense numbers of vehcles, all vehcles can be dentfed and ther parkng tme spans on the campus obtaned, that s, the ext tme mnus the entry tme. Surveyors then count all parkng lots on the campus and observe the occupancy rates of these lots durng dfferent tme perods by havng one walkng tour each 0.5 hour. The entre study horzon [O, T] = 7:00 19:00 s equally dscretzed nto T ntervals, and the length of each one s δ=5 mn, T δ = T. If a vehcle enters the campus at tme nterval t 1 and exts at tme nterval t 2, then ts tme span for parkng on the campus s Δ t = t2 t1 nterval. Assume that the summaton of the travel tme spent on the campus and the tme delay for searchng for a parkng lot s no more than 10 mn, the parkng behavor can be descrbed as follows: f Δ t = ( 0,1, 2), t follows that vehcles, (e.g., Taxes), stay on the campus for a very short tme duraton and these parkng behavors are gnored n ths case study. If Δ t > 2, t follows that vehcles need formal spaces for parkng on the campus, and the parkng tme equals to 5( Δ t 2) mn. Let f (k) be the flow enterng the campus durng nterval k and parkng n the lot. The cumulatve arrval at lot by nterval t (excludng t), U (t), s t U () t = f ( k), I k= 1 Where s the set of all surveyed parkng lots on the campus. The total arrval for parkng by nterval t s: I (1) U ( t) = U ( t), t ( 0,1,2, L, T ) (2) Note that these vehcles arrvng at lot before nterval (t l) and parkng for the duraton l( 1) wll leave the lot before nterval t. Thus, the cumulatve departure, V () t, by nterval t can be computed as follows: t 1 l k = 1 ( ) V() t = f( k), I, t 0,1,2, L, T (3) where V () t = 0 for t = (0,1,2). Then Vt () = Vt (), t ( 0,1,2, L, T) (4) I The accumulatve number of vehcles parkng at lot durng nterval t equals U (t) mnus V (t), that s, ( ) D () t = U () t V (), t I, t 0,1,2, L, T (5) And the accumulatve number of vehcles parkng at all lots durng nterval t s (6) D() t = D (), t t 0,1,2, L, T I ( ) Where D(t) s called the parkng demand durng tme nterval t. 3 Statstcal results and analyses On average, there are 8,267 vehcles enterng and extng the BUAA campus each day, among whch 2,017 and 2,045 ones enter and depart from the north gate and 2,081 and 2,124 ones enter and depart from the southeast gate, respectvely. Fg. 1 shows the number of vehcles enterng and extng the campus for every fve mnutes wthn a workng day. It can be seen that there are two peaks correspondng to the perods 7:00 8:30 and 17:00 18:30, respectvely. Number of vehcles per nterval Inflow Outflow Tme Fg. 1 The number of vehcles enterng and extng the campus for every fve mnutes In the publc zone, there are manly sx lots for parkng, located around Syuan Buldng (denoted as A n ths artcle), Twelfth to Nneteenth Buldng (B), Zhxng Buldng (C), Offce Buldng (D), Gymnasums (E), and Yougou Mall (F), respectvely. The realzed parkng demands assocated wth these lots for every fve mnutes are depcted n Fg. 2. It can be seen that the realzed demands n all lots, except D and E,
3 fluctuate slghtly and are less than 50. D s the most mportant lot for parkng on ths campus wth regard to both the demand level and the physcal confguraton. Durng the perods 8:00 12:00 and 14:00 17:30, more than 110 vehcles park and constantly stay there. Durng 12:00 14:00, some people drve away to have lunch. Number of vehcles Tme Fg. 2 Realzed parkng demands n sx lots The total demand for parkng on the BUAA campus s not the smple summaton of the demands of the sx parkng lots descrbed above. Those vehcles that park on the streets and n other unmportant stes should also be consdered. Wth ncluson of these vehcles, Fg. 3 shows the total parkng demands of the campus for each tme nterval. From ths fgure, t can be seen that durng the perod 7:00 8:00, the parkng demands ncrease rapdly (46.7 parkng berths per tme nterval) and ascend to a maxmum at 11:00, and then declne durng the whole afternoon. After 8:00, the ascendng speed of the demand gets down, 15.7 parkng berths per tme nterval. It further decreases after 9:00, only 5.7 parkng berths per tme nterval. Durng the whole afternoon, the parkng demands decrease constantly, but wth dfferent speeds durng dfferent perods, three parkng berths per tme nterval before 14:30, 11.2 from 14:30 to 17:00 and then Number of vehcles Tme Parkng demand Parkng supply Fg. 3 Changes of total parkng demands on the campus durng dfferent tme perods Compared wth the formal supply for parkng provded n the publc zone, the demand starts to exceed the supply from 7:50, as shown n Fg. 3. Ths stuaton lasts for about nne hours tll 17:30. There s an excess of 800 vehcles durng the perod 9:00 14:30 on an average, and even 900 vehcles durng 11:00 12:00. Obvously, the present parkng capacty s not enough to meet the demands durng the on-duty tme perod of a day. Table 1 presents the demands wth dfferent tme spans for parkng. The average parkng tme span on the BUAA campus s 268 mn. More than half of the parkng vehcles, 54.5 % of the total, stay on the campus for less than three hours. It s stated n detal that 13.6 % stay for less than 10 mn, 19.4 % for 10 mn to one hour, and 12.1 % for 1 2 h. Bascally, the owners of these vehcles stayng for less than two hours are not the employees of the BUAA or the students. Actually, 45.1 % of the vehcles parkng on the campus are not owned by the BUAA employees or students. Thus, how well these vehcles can be managed s an mportant problem to be resolved for ths unversty. Let l be the length of tme duraton for parkng. Fg. 4 shows the flow pattern demonstrated by a number of vehcles enterng the campus and stayng there wth dfferent tme spans. It s clear that after the tme t=19:00 l, no vehcles enter the campus and park for duraton l. Before the tme t=19:00 l, however, there always exst some vehcles enterng the campus and parkng for duraton l, although the enterng number at dfferent tmes evdently dffer. Vehcles parkng for short duraton enter the campus stochastcally (the drvers are Taxes). Vehcles parkng for one hour enter the campus manly durng 7:00 9:00 (the drvers come to ths unversty for busness). Vehcles parkng for two hours enter the campus manly durng perods 7:00 9:40, 13:30 14:30 and 16:00 17:30 (the drvers enter the campus for havng college courses or semnars). Vehcles parkng for three hours enter the campus manly durng 7:00 8:00 (for courses arranged durng nght). And vehcles parkng for four, fve and sx hours enter the campus manly durng the tme perods 7:00 8:00 and 14:00 15:00, the perods 7:00 8:00 and 13:00 14:30, and the perod 7:00 9:00, respectvely. To summarze, the longer the duraton a vehcle parks for, the earler t enters the campus. As defned n Secton 2, D (1) s the total amount of vehcles arrvng at parkng lot n tme nterval t=1. For nterval 1< t 144, ΔD ( t) = D ( t) D ( t 1) > 0 mples that there are Δ D () t vehcles parkng at lot durng nterval t ; otherwse, ΔD ( t) < 0 mples Δ D () t vehcles leave the lot durng nterval t. ΔD ( t) = 0 states that there are no vehcles enterng or extng the lot durng nterval t ; thus, the number of parkng vehcles at remans unchanged from nterval t 1 to t. Thus, the use turnovers of parkng lots can be estmated from the survey data D () t as follows:
4 144 Δ D() t + D(1) =, Δ D( t) = D( t) D( t 1), I t= 2 α 2w (7) Where w represents the number of berths provded at lot and α s the use turnover of lot. Table 1 Parkng demands wth dfferent tme spans Tme span for parkng Demand Percentage Accumulatve percentage Short duraton Δt =(0,1,2) For 1 hour 3 Δt < For 2 hours 14 Δt < For 3 hours 26 Δt < For 4 hours 38 Δt < For 5 hours 50 Δt < For 6 hours 62 Δt < For 7 hours 74 Δt < For 8 hours 86 Δt < For 9 hours 98 Δt < For 10 hours 110 Δt < For 11 hours 122 Δt < For 12 hours 134 Δt < Note: Δt denotes the amount of tme ntervals for parkng on the campus, one of whch s 5 mn; one hour equals 12 ntervals; the parkng tme span s l= Δt 2. Short duraton Number of vehcles Tme Fg. 4 Number of vehcles enterng the campus and stayng wth dfferent tme spans Table 2 gves the use turnovers of sx parkng lots. It s found that these turnovers are not so hgh as expected. Ths s manly because a lot of vehcles, 45.5 % of the total, park and stay on the campus for over four hours. These vehcles occupy the parkng berths durng peak perods and leave the campus after work. At that tme, the parkng lots cannot attract new comers any more. The lots B, C, and D are occuped by some fxed demands durng the day tme. The turnover of lots D and F s relatvely hgher than that of other lots. On the one hand, the fact that the demand exceeds supply requres hgher turnovers n usng the parkng lots; on the other hand, too many vehcles stay on the campus for over
5 four hours, whch block the enhancement of turnovers. Ths s a dstngushng feature of the campus parkng systems, dfferng from the systems n other communtes. Parkng lots Table 2 The use turnovers of sx parkng lots Number of berths avalable Turnover A B C D E F The survey results also show that these vehcles stayng on the campus for a long tme commonly park on fxed berths, and those stayng for a short tme change postons for parkng frequently and even park on streets when the drvers cannot fnd berths for convenent parkng. For example, durng peak perods, up to 15 and 11 vehcles choose to park near the afflated prmary school and tenns gym, respectvely. In the publc zone, some drvers park ther cars everywhere at wll. In other words, on-street parkng has become a method to solve the shortage of parkng supply, whch s certanly not expected by the unversty manager. There are fve man streets on the BUAA campus, namely, the campus south, the campus north, the campus west, the campus east and the campus mddle streets, respectvely. Vehcles are not allowed to enter the campus east and mddle streets durng the perods 7:30 8:30, 11:30 12:30, 13:30 14:30 and 17:30 18:30 to allow a safe flow of pedestrans and bcycles. However, on-street parkng can stll be observed everywhere n the publc zone because of the shortage and nconvenence of parkng supply, whch often nduces traffc jams and even accdents. For example, one secton of the campus east street s located near the afflated prmary school. Ths two-way street has a wdth of 8.5 meters, but s often occuped by two rows of cars parked on both sdes; thus, only a narrow space of 3.5 meters s avalable for walkng and vehcle movement. Every day, ths secton s very crowed when pupls go to or leave school. Moreover, one row of vehcles and one row of bcycles park on both sdes of a road between the unversty admnstraton buldng and the Scence buldng. Ths road connects to the teachng zone of the unversty. It naturally becomes congested and unsafe when many students ext from the teachng zone after classes. A smlar phenomenon s observed on the campus west street. Therefore, ths s an appeal for a new scheme for regulatng the BUAA campus parkng, and t should be materalzed as soon as possble. 4 Conclusons In summary, the BUAA campus parkng system has the followng characterstcs and problems: () Most vehcles park n the zone for publc actvtes. The number s large n the daytme and small n the nghttme; large durng on-duty tme and small durng off-duty tme. The vehcles parkng for more than four hours consttute the majorty of vehcles parkng on ths campus. () Ths campus clearly lacks parkng berths. Meanwhle, the use turnovers of the current parkng lots are low. () The current parkng lots utlze the ground spaces around buldngs. Recently, a specally desgned underground parkng lot under the New Man Buldng s ready to come nto use. It s expected to solve the parkng problem n the southeast area of the campus. (v) The on-street parkng has caused a seres of problems, ncludng traffc jam, and thus s dangerous for pedestrans. (v) A lot of vehcles, not owned by the unversty employees, run through the campus everyday, whch further burdens the campus traffc. (v) Parkng tolls only nfluence the vehcles wthout entry permts, and the unversty employees put ther vehcles on the campus for a long tme wthout any restrants. As a result, the use turnovers of parkng lots are very low, less than two on an average. It s beleved that the phenomena and problems found on the BUAA campus commonly exst n other Chnese unverstes, and thus t s expected that ths artcle can beneft the studes of other campus parkng systems. The BUAA campus has been selected as one of the places for the actvtes of the Bejng 2008 Olympc Games. The campus traffc s a hot topc dscussed by people. It s hoped that ths artcle can further stmulate the dscusson. References [1] McIntyre C. Calforna Communty Colleges Parkng Survey, [2] Carl V P, Davd S S. Basc Methods of Polcy Analyss and Plannng, Bejng, Chna: Huaxa Publshng, [3] Leng J, Yan K F. Proposal for mprovng the campus parkng of Tongj Unversty. Traffc and Transportaton, 2003, 5: [4] Song H F, Wang G H. Survey on unversty campus traffc problem and suggestons. Zhejang Statstcs, 2004, 4: [5] Tong C O, Wong S C, Leung B S. Estmaton of parkng accumulaton profles from survey data. Transportaton, 2004, 31: [6] Huang H J, L Z C, Lam W H K, et al. A tme-dependent actvty and travel choce model wth multple parkng optons. In: Transportaton and Traffc Theory, Mahmassan H S (Ed.), Oxford: Elsever, 2005:
6 [7] Lam W H K, L Z C, Huang H J, et al. Modelng tme-dependent travel choce problems n road networks wth multple user classes and multple parkng facltes. Transportaton Research Part B, 2006, 40(5): [8] Hensher D A, Kng J. Parkng demand and responsveness to supply, prcng and locaton n the Sydney central busness dstrct. Transportaton Research Part A, 2001, 35(3): [9] Guo N. Quanttatve analyses about the parkng problem n resdence area. Ph.D. dssertaton, Zhejang Unversty, Chna, [10] Guo T, Yang T, Wang R P, et al. A new decson-makng method for plannng the urban parkng facltes. Journal of Transportaton Systems Engneerng and Informaton Technology, 2006, 6(4):
7 ID Ttle Pages Emprcal Study of Parkng Problem on Unversty Campus 6
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 informationTraffic 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 informationStudy 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 informationModule 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 informationCan 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 informationThe 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 informationPower-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts
Power-of-wo Polces for Sngle- Warehouse Mult-Retaler Inventory Systems wth Order Frequency Dscounts José A. Ventura Pennsylvana State Unversty (USA) Yale. Herer echnon Israel Insttute of echnology (Israel)
More informationAPPLICATION 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 informationForecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network
700 Proceedngs of the 8th Internatonal Conference on Innovaton & Management Forecastng the Demand of Emergency Supples: Based on the CBR Theory and BP Neural Network Fu Deqang, Lu Yun, L Changbng School
More informationFinancial Mathemetics
Fnancal Mathemetcs 15 Mathematcs Grade 12 Teacher Gude Fnancal Maths Seres Overvew In ths seres we am to show how Mathematcs can be used to support personal fnancal decsons. In ths seres we jon Tebogo,
More informationA 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 informationA 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 informationTo manage leave, meeting institutional requirements and treating individual staff members fairly and consistently.
Corporate Polces & Procedures Human Resources - Document CPP216 Leave Management Frst Produced: Current Verson: Past Revsons: Revew Cycle: Apples From: 09/09/09 26/10/12 09/09/09 3 years Immedately Authorsaton:
More informationAn Interest-Oriented Network Evolution Mechanism for Online Communities
An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne
More informationHARVARD John M. Olin Center for Law, Economics, and Business
HARVARD John M. Oln Center for Law, Economcs, and Busness ISSN 1045-6333 ASYMMETRIC INFORMATION AND LEARNING IN THE AUTOMOBILE INSURANCE MARKET Alma Cohen Dscusson Paper No. 371 6/2002 Harvard Law School
More informationIT09 - Identity Management Policy
IT09 - Identty Management Polcy Introducton 1 The Unersty needs to manage dentty accounts for all users of the Unersty s electronc systems and ensure that users hae an approprate leel of access to these
More informationDynamic Fleet Management for Cybercars
Proceedngs of the IEEE ITSC 2006 2006 IEEE Intellgent Transportaton Systems Conference Toronto, Canada, September 17-20, 2006 TC7.5 Dynamc Fleet Management for Cybercars Fenghu. Wang, Mng. Yang, Ruqng.
More information"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *
Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC
More informationwww.gov.uk/studentfinance 2016/17
www.gov.uk/studentfnance SECTION 1 WHAT SUPPORT CAN YOU GET? FEES, LOANS, GRANTS & MORE *Fgures shown n ths secton are based on the 2015/16 student fnance polcy and may change SECTION 1 TUITION FEES AND
More informationCanon NTSC Help Desk Documentation
Canon NTSC Help Desk Documentaton READ THIS BEFORE PROCEEDING Before revewng ths documentaton, Canon Busness Solutons, Inc. ( CBS ) hereby refers you, the customer or customer s representatve or agent
More information1.1 The University may award Higher Doctorate degrees as specified from time-to-time in UPR AS11 1.
HIGHER DOCTORATE DEGREES SUMMARY OF PRINCIPAL CHANGES General changes None Secton 3.2 Refer to text (Amendments to verson 03.0, UPR AS02 are shown n talcs.) 1 INTRODUCTION 1.1 The Unversty may award Hgher
More informationAnswer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy
4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.
More informationAn 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 informationINVESTIGATION 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 informationModeling and Simulation of Multi-Agent System of China's Real Estate Market Based on Bayesian Network Decision-Making
Int. J. on Recent Trends n Engneerng and Technology, Vol. 11, No. 1, July 2014 Modelng and Smulaton of Mult-Agent System of Chna's Real Estate Market Based on Bayesan Network Decson-Makng Yang Shen, Shan
More informationThe program for the Bachelor degrees shall extend over three years of full-time study or the parttime equivalent.
Bachel of Commerce Bachel of Commerce (Accountng) Bachel of Commerce (Cpate Fnance) Bachel of Commerce (Internatonal Busness) Bachel of Commerce (Management) Bachel of Commerce (Marketng) These Program
More informationInstitute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic
Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange
More informationRESEARCH 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 informationPerformance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application
Internatonal Journal of mart Grd and lean Energy Performance Analyss of Energy onsumpton of martphone Runnng Moble Hotspot Applcaton Yun on hung a chool of Electronc Engneerng, oongsl Unversty, 511 angdo-dong,
More informationSmall pots lump sum payment instruction
For customers Small pots lump sum payment nstructon Please read these notes before completng ths nstructon About ths nstructon Use ths nstructon f you re an ndvdual wth Aegon Retrement Choces Self Invested
More informationOverview of monitoring and evaluation
540 Toolkt to Combat Traffckng n Persons Tool 10.1 Overvew of montorng and evaluaton Overvew Ths tool brefly descrbes both montorng and evaluaton, and the dstncton between the two. What s montorng? Montorng
More informationFault 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 informationFINAL REPORT. City of Toronto. Contract 47016555. Project No: B000203-3
Cty of Toronto SAFETY IMPACTS AD REGULATIOS OF ELECTROIC STATIC ROADSIDE ADVERTISIG SIGS TECHICAL MEMORADUM #2C BEFORE/AFTER COLLISIO AALYSIS AT SIGALIZED ITERSECTIO FIAL REPORT 3027 Harvester Road, Sute
More informationSPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:
SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and
More informationCalculation 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 informationSection 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 informationThe Application of Fractional Brownian Motion in Option Pricing
Vol. 0, No. (05), pp. 73-8 http://dx.do.org/0.457/jmue.05.0..6 The Applcaton of Fractonal Brownan Moton n Opton Prcng Qng-xn Zhou School of Basc Scence,arbn Unversty of Commerce,arbn zhouqngxn98@6.com
More informationCHOLESTEROL 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 informationUsing 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 informationIMPACT 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 informationAn Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services
An Evaluaton of the Extended Logstc, Smple Logstc, and Gompertz Models for Forecastng Short Lfecycle Products and Servces Charles V. Trappey a,1, Hsn-yng Wu b a Professor (Management Scence), Natonal Chao
More informationRisk-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 informationHow To Calculate The Accountng Perod Of Nequalty
Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.
More informationEfficient Bandwidth Management in Broadband Wireless Access Systems Using CAC-based Dynamic Pricing
Effcent Bandwdth Management n Broadband Wreless Access Systems Usng CAC-based Dynamc Prcng Bader Al-Manthar, Ndal Nasser 2, Najah Abu Al 3, Hossam Hassanen Telecommuncatons Research Laboratory School of
More informationTuition Fee Loan application notes
Tuton Fee Loan applcaton notes for new part-tme EU students 2012/13 About these notes These notes should be read along wth your Tuton Fee Loan applcaton form. The notes are splt nto three parts: Part 1
More informationA Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression
Novel Methodology of Workng Captal Management for Large Publc Constructons by Usng Fuzzy S-curve Regresson Cheng-Wu Chen, Morrs H. L. Wang and Tng-Ya Hseh Department of Cvl Engneerng, Natonal Central Unversty,
More informationOn the Optimal Control of a Cascade of Hydro-Electric Power Stations
On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;
More informationSPECIALIZED DAY TRADING - A NEW VIEW ON AN OLD GAME
August 7 - August 12, 2006 n Baden-Baden, Germany SPECIALIZED DAY TRADING - A NEW VIEW ON AN OLD GAME Vladmr Šmovć 1, and Vladmr Šmovć 2, PhD 1 Faculty of Electrcal Engneerng and Computng, Unska 3, 10000
More informationbenefit 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 informationADVERTISEMENT FOR THE POST OF DIRECTOR, lim TIRUCHIRAPPALLI
ADVERTSEMENT FOR THE POST OF DRECTOR, lm TRUCHRAPPALL The ndan nsttute of Management Truchrappall (MT), establshed n 2011 n the regon of Taml Nadu s a leadng management school n nda. ts vson s "Preparng
More informationPricing Model of Cloud Computing Service with Partial Multihoming
Prcng Model of Cloud Computng Servce wth Partal Multhomng Zhang Ru 1 Tang Bng-yong 1 1.Glorous Sun School of Busness and Managment Donghua Unversty Shangha 251 Chna E-mal:ru528369@mal.dhu.edu.cn Abstract
More informationLecture 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 informationPublished: 2003-01-01. Link to publication
A Thermodesorber for Onlne studes of Combuston Aerosols - Influence of partcle dameter, resdence tme and mass concentraton Dahl, Andreas; Pagels, Joakm Publshed: 2003-01-01 Lnk to publcaton Ctaton for
More informationResearch Article A Time Scheduling Model of Logistics Service Supply Chain with Mass Customized Logistics Service
Hndaw Publshng Corporaton Dscrete Dynamcs n Nature and Socety Volume 01, Artcle ID 48978, 18 pages do:10.1155/01/48978 Research Artcle A Tme Schedulng Model of Logstcs Servce Supply Chan wth Mass Customzed
More informationStress test for measuring insurance risks in non-life insurance
PROMEMORIA Datum June 01 Fnansnspektonen Författare Bengt von Bahr, Younes Elonq and Erk Elvers Stress test for measurng nsurance rsks n non-lfe nsurance Summary Ths memo descrbes stress testng of nsurance
More informationProceedings of the Annual Meeting of the American Statistical Association, August 5-9, 2001
Proceedngs of the Annual Meetng of the Amercan Statstcal Assocaton, August 5-9, 2001 LIST-ASSISTED SAMPLING: THE EFFECT OF TELEPHONE SYSTEM CHANGES ON DESIGN 1 Clyde Tucker, Bureau of Labor Statstcs James
More informationScale Dependence of Overconfidence in Stock Market Volatility Forecasts
Scale Dependence of Overconfdence n Stoc Maret Volatlty Forecasts Marus Glaser, Thomas Langer, Jens Reynders, Martn Weber* June 7, 007 Abstract In ths study, we analyze whether volatlty forecasts (judgmental
More informationAnalysis 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 informationAnalysis of Demand for Broadcastingng servces
Analyss of Subscrpton Demand for Pay-TV Manabu Shshkura * Norhro Kasuga ** Ako Tor *** Abstract In ths paper, we wll conduct an analyss from an emprcal perspectve concernng broadcastng demand behavor and
More informationMarginal Returns to Education For Teachers
The Onlne Journal of New Horzons n Educaton Volume 4, Issue 3 MargnalReturnstoEducatonForTeachers RamleeIsmal,MarnahAwang ABSTRACT FacultyofManagementand Economcs UnverstPenddkanSultan Idrs ramlee@fpe.ups.edu.my
More information1. 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 information10.2 Future Value and Present Value of an Ordinary Simple Annuity
348 Chapter 10 Annutes 10.2 Future Value and Present Value of an Ordnary Smple Annuty In compound nterest, 'n' s the number of compoundng perods durng the term. In an ordnary smple annuty, payments are
More informationProject Networks With Mixed-Time Constraints
Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa
More informationThe Current Employment Statistics (CES) survey,
Busness Brths and Deaths Impact of busness brths and deaths n the payroll survey The CES probablty-based sample redesgn accounts for most busness brth employment through the mputaton of busness deaths,
More informationData Mining from the Information Systems: Performance Indicators at Masaryk University in Brno
Data Mnng from the Informaton Systems: Performance Indcators at Masaryk Unversty n Brno Mkuláš Bek EUA Workshop Strasbourg, 1-2 December 2006 1 Locaton of Brno Brno EUA Workshop Strasbourg, 1-2 December
More informationResearch on Evaluation of Customer Experience of B2C Ecommerce Logistics Enterprises
3rd Internatonal Conference on Educaton, Management, Arts, Economcs and Socal Scence (ICEMAESS 2015) Research on Evaluaton of Customer Experence of B2C Ecommerce Logstcs Enterprses Yle Pe1, a, Wanxn Xue1,
More informationFeasibility of Using Discriminate Pricing Schemes for Energy Trading in Smart Grid
Feasblty of Usng Dscrmnate Prcng Schemes for Energy Tradng n Smart Grd Wayes Tushar, Chau Yuen, Bo Cha, Davd B. Smth, and H. Vncent Poor Sngapore Unversty of Technology and Desgn, Sngapore 138682. Emal:
More informationHelp is a tou ch of a button away. Telecare - keeping you safe and independent in your own home. i Personal emergency equipment
Help s a tou ch of a button away Telecare - keepng you safe and ndependent n your own home Personal emergency equpment 24/7 moble response - ncludng a dgnty savng lftng servce Professonal support Welcome
More informationTraditional versus Online Courses, Efforts, and Learning Performance
Tradtonal versus Onlne Courses, Efforts, and Learnng Performance Kuang-Cheng Tseng, Department of Internatonal Trade, Chung-Yuan Chrstan Unversty, Tawan Shan-Yng Chu, Department of Internatonal Trade,
More informationPerformance Management and Evaluation Research to University Students
631 A publcaton of CHEMICAL ENGINEERING TRANSACTIONS VOL. 46, 2015 Guest Edtors: Peyu Ren, Yancang L, Hupng Song Copyrght 2015, AIDIC Servz S.r.l., ISBN 978-88-95608-37-2; ISSN 2283-9216 The Italan Assocaton
More informationTitle: A Queuing Network Model with Blocking: Analysis of Congested Patient Flows in Mental Health Systems
Ttle: A Queung Network Model wth Blockng: Analyss of Congested Patent Flows n Mental Health Systems AUTHO INFOMATION Naoru Kozum (Correspondng author) Department of lectrcal and Systems ngneerng, Unversty
More informationPerformance Analysis and Coding Strategy of ECOC SVMs
Internatonal Journal of Grd and Dstrbuted Computng Vol.7, No. (04), pp.67-76 http://dx.do.org/0.457/jgdc.04.7..07 Performance Analyss and Codng Strategy of ECOC SVMs Zhgang Yan, and Yuanxuan Yang, School
More informationRobust Design of Public Storage Warehouses. Yeming (Yale) Gong EMLYON Business School
Robust Desgn of Publc Storage Warehouses Yemng (Yale) Gong EMLYON Busness School Rene de Koster Rotterdam school of management, Erasmus Unversty Abstract We apply robust optmzaton and revenue management
More informationProperties of Indoor Received Signal Strength for WLAN Location Fingerprinting
Propertes of Indoor Receved Sgnal Strength for WLAN Locaton Fngerprntng Kamol Kaemarungs and Prashant Krshnamurthy Telecommuncatons Program, School of Informaton Scences, Unversty of Pttsburgh E-mal: kakst2,prashk@ptt.edu
More informationwww.olr.ccli.com Introducing Online Reporting Your step-by-step guide to the new online copy report Online Reporting
Onlne Reportng Introducng Onlne Reportng www.olr.ccl.com Your step-by-step gude to the new onlne copy report Important nformaton for all lcence holders No more software to download Reportng as you go...
More informationPERRON FROBENIUS THEOREM
PERRON FROBENIUS THEOREM R. CLARK ROBINSON Defnton. A n n matrx M wth real entres m, s called a stochastc matrx provded () all the entres m satsfy 0 m, () each of the columns sum to one, m = for all, ()
More informationEvaluating the Effects of FUNDEF on Wages and Test Scores in Brazil *
Evaluatng the Effects of FUNDEF on Wages and Test Scores n Brazl * Naérco Menezes-Flho Elane Pazello Unversty of São Paulo Abstract In ths paper we nvestgate the effects of the 1998 reform n the fundng
More informationFragility Based Rehabilitation Decision Analysis
.171. Fraglty Based Rehabltaton Decson Analyss Cagdas Kafal Graduate Student, School of Cvl and Envronmental Engneerng, Cornell Unversty Research Supervsor: rcea Grgoru, Professor Summary A method s presented
More informationResearch of Network System Reconfigurable Model Based on the Finite State Automation
JOURNAL OF NETWORKS, VOL., NO. 5, MAY 24 237 Research of Network System Reconfgurable Model Based on the Fnte State Automaton Shenghan Zhou and Wenbng Chang School of Relablty and System Engneerng, Behang
More informationPSYCHOLOGICAL 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 informationThe Safety Board recommends that the Penn Central Transportation. Company and the American Railway Engineering Association revise
V. RECOWNDATONS 4.! The Safety Board recommends that the Penn Central Transportaton Company and the Amercan Ralway Engneerng Assocaton revse ther track nspecton and mantenance standards or recommended
More informationAn Introduction to 3G Monte-Carlo simulations within ProMan
An Introducton to 3G Monte-Carlo smulatons wthn ProMan responsble edtor: Hermann Buddendck AWE Communcatons GmbH Otto-Llenthal-Str. 36 D-71034 Böblngen Phone: +49 70 31 71 49 7-16 Fax: +49 70 31 71 49
More informationThe Pricing Strategy of the Manufacturer with Dual Channel under Multiple Competitions
Internatonal Journal of u-and e-servce, Scence and Technology Vol.7, No.4 (04), pp.3-4 http://dx.do.org/0.457/junnesst.04.7.4. The Prcng Strategy of the Manufacturer wth Dual Channel under Multple Compettons
More informationTraffic-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 informationHow 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 information8.5 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 informationDynamic 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 informationANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING
ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING Matthew J. Lberatore, Department of Management and Operatons, Vllanova Unversty, Vllanova, PA 19085, 610-519-4390,
More informationCourse 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 informationLogical Development Of Vogel s Approximation Method (LD-VAM): An Approach To Find Basic Feasible Solution Of Transportation Problem
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME, ISSUE, FEBRUARY ISSN 77-866 Logcal Development Of Vogel s Approxmaton Method (LD- An Approach To Fnd Basc Feasble Soluton Of Transportaton
More informationRing structure of splines on triangulations
www.oeaw.ac.at Rng structure of splnes on trangulatons N. Vllamzar RICAM-Report 2014-48 www.rcam.oeaw.ac.at RING STRUCTURE OF SPLINES ON TRIANGULATIONS NELLY VILLAMIZAR Introducton For a trangulated regon
More informationMulti-sensor Data Fusion for Cyber Security Situation Awareness
Avalable onlne at www.scencedrect.com Proceda Envronmental Scences 0 (20 ) 029 034 20 3rd Internatonal Conference on Envronmental 3rd Internatonal Conference on Envronmental Scence and Informaton Applcaton
More informationSurvive Then Thrive: Determinants of Success in the Economics Ph.D. Program. Wayne A. Grove Le Moyne College, Economics Department
Survve Then Thrve: Determnants of Success n the Economcs Ph.D. Program Wayne A. Grove Le Moyne College, Economcs Department Donald H. Dutkowsky Syracuse Unversty, Economcs Department Andrew Grodner East
More informationStudent Performance in Online Quizzes as a Function of Time in Undergraduate Financial Management Courses
Student Performance n Onlne Quzzes as a Functon of Tme n Undergraduate Fnancal Management Courses Olver Schnusenberg The Unversty of North Florda ABSTRACT An nterestng research queston n lght of recent
More informationTransportation Research Part E
Transportaton Research Part E 47 (2011) 41 60 Contents lsts avalable at ScenceDrect Transportaton Research Part E journal homepage: www.elsever.com/locate/tre Arcraft replacement schedulng: A dynamc programmng
More informationAN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE
AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE Yu-L Huang Industral Engneerng Department New Mexco State Unversty Las Cruces, New Mexco 88003, U.S.A. Abstract Patent
More informationLuby s Alg. for Maximal Independent Sets using Pairwise Independence
Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent
More informationThe Greedy Method. Introduction. 0/1 Knapsack Problem
The Greedy Method Introducton We have completed data structures. We now are gong to look at algorthm desgn methods. Often we are lookng at optmzaton problems whose performance s exponental. For an optmzaton
More informationAn Isolated Feedback Circuit for a Flyback Charging Circuit
Proceedngs of the 007 WSEAS Int. Conference on Crcuts, Systems, Sgnal and Telecommuncatons, Gold Coast, Australa, January 17-19, 007 35 An Isolated Feedback Crcut for a Flyback Chargng Crcut LI JIE, HUAG
More informationLittle s Law & Bottleneck Law
Lttle s Law & Bottleneck Law Dec 20 I professonals have shunned performance modellng consderng t to be too complex and napplcable to real lfe. A lot has to do wth fear of mathematcs as well. hs tutoral
More information