Research on Optimization Method of Real-time Available Resources for Dynamic Scheduling

Size: px
Start display at page:

Download "Research on Optimization Method of Real-time Available Resources for Dynamic Scheduling"

Transcription

1 , pp Research on Optmzaton Method of Real-tme Avalable Resources for Dynamc Schedulng J. H. Ge *, H. Gao, Y. P. Wang, P. Q. Fu and C. T. Zhang College of Mechancal and Dynamc Engneerng, Harbn Unversy of Scence and Technology, Harbn, Chna Abstract Amed at the real-tme request of dynamc schedulng to product resource, an optmzaton method of parallel dynamc chan real-tme avalable resources was put forward. Proceed from real-tme tracng of resource nformaton nfluencng schedulng task s dynamc property, establshed a resource nformaton s real-tme tracng back and optmzaton model, whch used module and parallel process mechansm to dfferent knds of real-tme traced back resource nformaton. The mechansm processed global dynamc feedback tracng for every module and optmzed avalable resources prmarly, on ths bass, graded the prmary avalable resources and gave a real-tme canddate resource set. Through one example of one gear producton schedulng, the method s valdy was tested. Keywords: dynamc schedulng, real-tme tracng, module and parallel process, avalable resources 1. Introducton Under the requrement of market, modern manufacturng are facng more and more competon. The advanced producton management s an mportant competve means, and producton schedulng whch plays a crucal role to mprove producton effcency s the core and key of producton management [1-2]. Classcal schedulng theory smplfes the practcal schedulng problems greatly [3], whch hypothess avalable resources nfne, task and processng tme determned. However, most problems are uncertan n the actual producton, such as the random task arrval, sudden fault of machnes, etc, whch could make the schedulng can't execute normally, and need to arrange agan. Therefore, the enterprse how to work out a dynamc schedulng program scentfcally, accurately, tmely, accordng to ther own actual producton condon, s one of the key problems that modern manufacturng need to solve urgently. Therefore researchers turn attenton to dynamc schedulng problems that reflect practcal producton suaton[4-7], and do a lot of researches on schedulng schemes and algorhms, but doesn t gve explc research method for real-tme resources whch reflect schedulng decson real-tme performance. These researches focus on requrement, track and analyze the exstng resources when schedulng tasks happen. The advantage of ths method s appled to the routne hab, and can deal wh some of the common emergency effect remarkably. But, n the actual, producton uncertan events occur frequently, schedulng arrangement should be changed n tme, so ths method whch events happen takng measures wll affect schedulng arrangement s performance, reduce the producton effcency, and, n the end, nfluence enterprse s rapd development n ferce market. Therefore, to acheve the dynamc schedulng effcency, preparaton that knowng about real-tme producton status should be done before schedulng task. So enterprses should track and analyze producton status n tme. In vew of the concrete problems faced by enterprse n dynamc schedulng, ths artcle ISSN: IJDTA Copyrght c 2014 SERSC

2 presents a deep research on real-tme trackng and analyss method of resources before the task schedulng happened, puts forward the modular parallel dynamc real-tme trackng concept. Accordng the exstng problems of resources trackng, comes up wh the level classfcaton method of real-tme resources optmzaton, rases an algorhm for ths method, and acheves the resources avalable sets at last. Thus, when event occurs the enterprses may, accordng to ther real-tme producton resources nformaton, arrange the correspondng schedulng n tme. Ths trackng analyss method of real-tme avalable resources set before ncdent happened, can real tme control of the enterprse producton realy, respond to any dynamc schedulng task n tme. Ths s an effectve and feasble way to support the tmelness of dynamc schedulng. 2. The Real-Tme Tracng of Manufacture Resouce Informaton The producton resources contan mechancal processng equpments (lathe, mllng machne, grnder, planer, gear hobbng, gear shavng machne) and the correspondng materals of equpments. Ths part vares the resource nto dfferent modules accordng to the workshops, machne varetes. The same level module resources are tracked parallelly, so as to avod the tme delay whch caused by lengthy nformaton of seral trackng. Ths method s called modular parallel processng mechansm. Specfc module parton s shown as Fgure 1. Productve resources Workshop A Workshop B Workshop N The module of Workshop level Lathe machne Mllng machne Grnder Drllng machne The module of type of devce-level Fgure 1. The Parton of Producton Resources Module Resource nformaton real-tme back apples computng programmng and frequency dvson method summoned for the transfer of real-tme nformaton resources. Accordng to enterprses demands set the frequency band, by whch tracng the state global resources steadly and updatng the nformaton of producton resources real tme. At last form a dynamc chan of producton resources nformaton. The state of real-tme producton resources nformaton tracng s shown as Fgure 2. Producton resource nformaton Basc nformaton Management Informaton Real-tme capably Real-tme status Toolng nformaton Accuracy class Quanty Type Specfcaton Toolng name Toolng types Plannng perod Processng costs Processng tme Processng type Geometrc feature Part type Materal type Rough type Note Dmensons Mantenance cycle Equpment Net Dmensons Equpment costs Purchasng date CNC Equpment Seral number type Measurng Tools Mold Fxture Tool Other Overload Full load Idle Mantenance Other Manufacturcenter Manufactur module The operator d name Manufacturer Other Motor Power Drven shaft number Spndle speed Rated use years Equpment materal Spndles number Man parameters model Fgure 2. The Real-Tme Tracng Informaton of Producton Resources 92 Copyrght c 2014 SERSC

3 The real-tme state nformaton of producton resources n Fgure 2 whch s traced by frequency dvson method reacts actual suaton of producton drectly, provdes sgnfcant real-tme data nformaton for schedulng decson. 3. The Level Optmzaton Strategy of Real-Tme Avalable Resources Real-tme avalable resources are those go through prmary optmzed arrangement and meet the demand of schedulng. The optmzaton mechansm analyzes and saves resources nformaton n all level modules accordng to demand, and resources are collected nto the central prmary real-tme avalable resources set eventually, whch can avod the dsadvantages of tme extenson that caused by seral calculaton of mass data, and to ensure the nformaton processng s tmelness. In ths paper, the arrangement for schedulng task s accordng to the actual suaton of producton resources. Because the optmzed resources of prmary real-tme avalable resources set have precedence relatonshps, we do further schedulng level analyss between prmary avalable resources. If the remanng processng tme about the equpment n the runnng state of completon s shorter, the loss of equpment s smaller, the level of the allowable value ably s taller then the schedulng level of ths equpment s greater. If the surplus processng tme, ably to use the allowable value, equpment loss of prmary avalable resources s the same, we can judge agan accordng to the basc nformaton of ths equpment. The prory level of the equpment s hgher f the equpment processng precson s hgher grades, the spndle speed s faster. The hgher prory level, the greater lkelhood nvoked, whch we called real-tme resources level classfcaton strategy n ths paper. We provde real-tme schedulng level wh avalable resources sets for the task schedulng by prmary and further herarchcal optmzaton of the real-tme and global resources. The real-tme avalable resources optmzaton process s shown as Fgure 3. Prmary canddate resource Set {A}{B}{N} Modular parallel processng Real - tme resource node Module A (A 1 A 2 A n ) Module B (B1B2 Bn) Module N (N 1 N 2 N n ) Real-tme tracng Prmary resource node Module A {A} Module B {B} Module N {N} Resource schedule ratng classfcaton Classfcaton canddate resource set {Aa}{Bb}{Nn} Real - tme data nformaton Real-tme canddate resource set {S} Fgure 3. The Optmzaton Process Dagram of Real-Tme Avalable Resources 4. Establshment of the Resources Optmzaton Model What ths artcle dscussed s consderng the arrangements of schedule tasks n accordance wh the actual suaton of resource, so needs to analyze real-tme changeable producton resource, and to fnd the better avalable resources for dynamc schedule. The problem of resource real-tme retrospectve optmzaton s abstractedly descrbed as the followng mathematcal descrpton, and the real-tme retrospectve optmzaton of avalable resources ncludes three aspect ndcators. Consderng the condon of processng tme of producton resource, to solve the mnmum remanng Copyrght c 2014 SERSC 93

4 processng tme, consderng the reasonably of schedule arrangements, the usable ably range of producton resource s the mportant problem needed to be consdered n optmzaton analyss, consderng to the actual suaton, trackng analyss s also need to be done on the correspondng assocated resource of the avalable devces. In order to establsh the real-tme retrospectve optmzaton model of resource nformaton, frst to defne the followng parameters and varables, as shown n Table 1. {T}tme set set {M}raw materal set {S}devce set {A}prmary canddate resource set of module A {B}prmary canddate resource set of module B {N} prmary canddate resource set of module N {Aa}classfcaton canddate resource set of module A {Bb}classfcaton canddate resource set of module B {Nn}classfcaton canddate resource set of module N {Ta}tme set of module A {Ma}raw materal set of module A {Sa}devce set of module A {Mb}raw materal set of module B Table 1. Symbol Explanaton of Model parameter t s the start tme number of resource nformaton real-tme retrospecton I s the devce number j s the materal number T s processng tme of the beng used resource T s the remanng processng tme of devce I at tme t T u s the upper lm of allows schedule tme for devce CA s the usable ably of produce resource CA s the allows produce ably of devce at tme t CA u s the upper lm of processng ably for devce CA D s the lower lm of processng ably for devce X s the raw materal processng volume of every devce ζ j s the scale factor of devce consumes materal j R U j s the upper lm of total supply of raw materal j R D j s the lower lm of total supply of raw materal j Requred to gve a real-tme avalable resources optmzaton program, under the condon of ensurng dynamc schedule requrement change, to real-tme analyze the avalable resources. The maxmum remanng processng tme of resource s the shortest, the value of maxmum allows usable ably s the least, and the value of correspondng resource maxmum consume s the least, whch are the goals to establsh avalable resources optmzaton objectve functon. mn F t max T,1 CA, X And meet the followng constrant. The remanng processng tme of devce s n the range of schedule requrement tme. j (1) T 0 T T T e u T The safe operaton of devce s n the range of processng ably constrant. I x (2) (3) CA D CA CA These two constrants are the analyss on the devce of each module, but the actual schedule needs to consder the correspondng resource of every devce, n ths artcle, the devce resource retrospectvely analyzed has been done the further analyss about s actual condon of the requred materal, that s the requred materal of devce produce needs to meet supplyng the constrant of upper and lower lm. R L j D 1 Ij j X R U j U, j M The specfc algorhm of real-tme resource ratng classfcaton s descrbed as follows. U T T If n module A, that s the remanng processng tme of the module A s devce U T s less than or equal to the prescrptve tme upper lm at tme t T, then, s (4) (5) 94 Copyrght c 2014 SERSC

5 fgured n prmary avalable resources set{ta} of ths module, or not fgured. What the sort output s the eventually ratng real-tme avalable resources set T, T, T 1 n wh the T T T T n n 1 1 practcal value (where, ). Obvously, ths parallel dynamc chan real-tme resource canddate s a resource optonal method, whch can drectly pont out the schedule avalable resources before the ncdent occurs, provde an effectve method for analyzng schedule avalable resources, and provde a smple real-tme decson creron for dynamc schedule. 5. Analyss of Examples Ths study has been appled to a gear factory, the artcle takes a type of gearbox wh fve speed gear shaft processng task as example, the ncreasng task requred to put them nto producton whn 12 hours. Ths shaft wll be completed through forgng, rough lathng, fnshng, gear hobbng, face grndng, honng machnng processng, n ths case, turnng of shaft end external crcular carefully s treated as valdaton of processes, all of the producton equpment has also been real tme trackng by usng the method proposed n ths paper, analyss results can be real tme traced accordng to the events, to determne the most suable schedulng resource for ths axs. Accordng to the descrpton of ths artcle real-tme avalable resources optmzaton, optmze the canddate equpment of fve speed gear-- ntermedate shaft end external crcular fnshng turnng, the end face cylndrcal process constrant nformaton s formed. Frst of all, global retrospectve plant n March 13, 2012, 9:00 to meet the resources of the process, as shown n Table 2. Table 2. Trackng of all Lathes Real-Tme Status Informaton n the Factory number model Real-tme status of equpment Start tme (TS) Completon tme (Te) Assocated resources C10101 CA6140 Full load : :00 Suffcent C10201 CA6140 Full load : :00 Suffcent C10202 C7620 Full load : :00 Suffcent C10203 CA6140 Full load : :00 Suffcent C10501 NC-D40 Overload : :00 Suffcent C10502 NC-D40 Full load : :00 Suffcent C10503 NC-D40 Full load : :00 Suffcent Secondly, the evaluaton ndex s real-tme traced back and optmzed accordng to avalable resources, the module above s analyzed that resources to satsfy the mnmum remanng processng tme constrants and the scope of the ably to use constrants of the productve resources, and analyss equpment Correspondng to the assocated resource wh state constrants. Because both devce status and the assocated resource are n the same state n ths module, so we can only consder producton resources of the remanng T T T T processng tme. x e, the real-tme resources for the nal optmzed, the results are shown n Table 3. Table 3. Fve-speed gears-the Mddle of Axs Prmary Optmzaton Results of Real-Tme Resource number model The remanng completon tme(t) Real-tme status Of equpment Assocated resources C10101 CA6140 3hours Full load suffcent C10202 C7620 8hours Full load suffcent C10501 NC-D40 7hours Over load suffcent C10502 NC-D40 8hours Full load Once agan, Prmary optmzaton of real-tme resource lne s graded n ths process, prmary avalable resources exst n the same resources of tme remanng, therefore, the resource schedulng level s evaluated accordng to the basc parameters of the resource Copyrght c 2014 SERSC 95

6 self, as shown n Table 4. Table 4. Fve-speed Gear-the Scale of the Intermedate Shaft Real-Tme Avalable Resources Ratng number model Remanng completon tme(t) Real-tme status of equpment Assocated resources 1 C10101 CA6140 3hours Full load suffcent 2 C10501 NC-D40 7hours Over load suffcent 3 C10502 NC-D40 8hours Full load 4 C10202 C7620 8hours Full load suffcent We can vsually see that the factory lathe canddate set of resources avalable, accordng to the nformaton n the table, and analyze the axs machnng process requred for all resource nformaton, the process of canddates for the necessary equpment resources level optmzed results are shown n Table 5. Table 5. Fve-speed Gear-Optmzaton Results of Intermedate Shaft Avalable Resources Level when the Process s All Set The module Rat -ng number model The remanng completon tme(t) Real-tme Status of equpment Assocated resources Lathng 1 C10101 CA6140 3hours Full load suffcent 2 C10501 NC-D40 7hours Over load suffcent 3 C10502 NC-D40 8hours Full load 4 C10202 C7620 8hours Full load suffcent Hobbng 1 G10301 Y3150E 2.5hours Full load suffcent 2 G10501 YB3120 3hours suffcent Mllng 1 X10501 X62W 4hours suffcent Shavng 1 T10202 Y4232 5hours Full load suffcent 2 T10501 YWA hours Full load suffcent Grndng 1 M10101 M2110 8hours 2 M10102 M120W 9hours Full load suffcent 3 M10501 MD2115 8hours Full load suffcent From Table 5, s ntuve that the avalable resources nformaton that s avalable to the ntermedate shaft schedulng. In the artcle, the way of retroactve analyss of avalable resources before the events s appled n the actual schedulng after the fve-speed gear of a transmsson n a gear factory- ntermedate shaft tasks, ths makes the task schedulng tmely decson-makng n the process, and mprove the effcency of schedulng, at the same tme, the effect s sgnfcant, thus verfes the valdy of the proposed method. 6. Concluson Real-tme control extent of the producton resources and the optmzaton results drectly nfluence the effcency of the dynamc schedulng. Ths paper puts forward a knd of real-tme optmal method called parallel dynamc chan real-tme avalable producton resources. Wh the ad of computer programmng, settng up a producton resources real-tme tracng model whch has a detaled lst of the model s nformaton; Accordng to the avalable resources optmzaton problem, puts forward the real-tme resources modular parallel processng mechansm and the avalable resources level classfcaton strategy, establshes the mathematcal model and detaled process. The proposed method has been successfully appled n gearbox dynamc schedulng of one Gear Factory. 96 Copyrght c 2014 SERSC

7 Acknowledgments Ths paper s supported by Unversy Scence Park Entrepreneural Talent of Innovaton Talents of Scence and Technology of Harbn Applcaton Technology Research and Development Project (2013RFDXJ001). References [1] Z. Shaqng, C. Xndu, C. Qngxn and C. Xn, The research summarzed and dscussed of producton project schedulng under uncertan envronment, Computer applcaton and research, vol. 28, no. 3, (2011), pp [2] G. E. Vera, J. W. Herrmann and E. Ln, Reschedulng manufacturng systems: a framework of strateges, polces, and methods, Journal of Schedulng, vol. 6, no. 1, (2003), pp [3] S. Allet, Handlng flexbly n a generalzed job shop wh a fuzzy approach, European Journal of Operatonal Research, vol. 147, no. 2, (2003), pp [4] G. Qngqang, L. Qqang, L. Mng and D. Ran, An achevng method of dynamc schedulng n contnuous process, Computer Engneerng and Applcatons, vol. 46, no. 15, (2010), pp ,238. [5] L. Ln, G. Hanyu and X. Yugeng, The dynamc workshop rollng reschedulng of arrval tme unknown, Chnese Journal of Mechancal Engneerng, vol. 44, no. 5, (2008), pp [6] Z. Guanghu, Z. Guoha, W. Ru, J. Pngyu and Z. Yngfeng, A dynamc schedulng method of un manufacturng task by usng real tme producton s nformaton, Journal of X'an Jaotong Unversy, vol. 43, no. 11, (2009), pp [7] W. Xul, The research of flexble job-shop dynamc schedulng problem, Journal of System Smulaton, vol. 20, no. 14, (2008), pp Copyrght c 2014 SERSC 97

8 98 Copyrght c 2014 SERSC

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

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

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

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

Improved SVM in Cloud Computing Information Mining

Improved SVM in Cloud Computing Information Mining Internatonal Journal of Grd Dstrbuton Computng Vol.8, No.1 (015), pp.33-40 http://dx.do.org/10.1457/jgdc.015.8.1.04 Improved n Cloud Computng Informaton Mnng Lvshuhong (ZhengDe polytechnc college JangSu

More information

Research on Evaluation of Customer Experience of B2C Ecommerce Logistics Enterprises

Research 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 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

Lei Liu, Hua Yang Business School, Hunan University, Changsha, Hunan, P.R. China, 410082. Abstract

Lei Liu, Hua Yang Business School, Hunan University, Changsha, Hunan, P.R. China, 410082. Abstract , pp.377-390 http://dx.do.org/10.14257/jsa.2016.10.4.34 Research on the Enterprse Performance Management Informaton System Development and Robustness Optmzaton based on Data Regresson Analyss and Mathematcal

More information

Rate Monotonic (RM) Disadvantages of cyclic. TDDB47 Real Time Systems. Lecture 2: RM & EDF. Priority-based scheduling. States of a process

Rate Monotonic (RM) Disadvantages of cyclic. TDDB47 Real Time Systems. Lecture 2: RM & EDF. Priority-based scheduling. States of a process Dsadvantages of cyclc TDDB47 Real Tme Systems Manual scheduler constructon Cannot deal wth any runtme changes What happens f we add a task to the set? Real-Tme Systems Laboratory Department of Computer

More information

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network

Forecasting 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 information

Research of Network System Reconfigurable Model Based on the Finite State Automation

Research 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 information

Research Article A Time Scheduling Model of Logistics Service Supply Chain with Mass Customized Logistics Service

Research 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 information

Research on Transformation Engineering BOM into Manufacturing BOM Based on BOP

Research on Transformation Engineering BOM into Manufacturing BOM Based on BOP Appled Mechancs and Materals Vols 10-12 (2008) pp 99-103 Onlne avalable snce 2007/Dec/06 at wwwscentfcnet (2008) Trans Tech Publcatons, Swtzerland do:104028/wwwscentfcnet/amm10-1299 Research on Transformaton

More information

An MILP model for planning of batch plants operating in a campaign-mode

An MILP model for planning of batch plants operating in a campaign-mode An MILP model for plannng of batch plants operatng n a campagn-mode Yanna Fumero Insttuto de Desarrollo y Dseño CONICET UTN yfumero@santafe-concet.gov.ar Gabrela Corsano Insttuto de Desarrollo y Dseño

More information

An Analysis of Central Processor Scheduling in Multiprogrammed Computer Systems

An Analysis of Central Processor Scheduling in Multiprogrammed Computer Systems STAN-CS-73-355 I SU-SE-73-013 An Analyss of Central Processor Schedulng n Multprogrammed Computer Systems (Dgest Edton) by Thomas G. Prce October 1972 Techncal Report No. 57 Reproducton n whole or n part

More information

Product Quality and Safety Incident Information Tracking Based on Web

Product Quality and Safety Incident Information Tracking Based on Web Product Qualty and Safety Incdent Informaton Trackng Based on Web News 1 Yuexang Yang, 2 Correspondng Author Yyang Wang, 2 Shan Yu, 2 Jng Q, 1 Hual Ca 1 Chna Natonal Insttute of Standardzaton, Beng 100088,

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

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

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute 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 information

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On 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 information

Power-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts

Power-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 information

A Study on Security Technique of Cloud Data Processing in Electronic Commerce

A Study on Security Technique of Cloud Data Processing in Electronic Commerce Internatonal Journal of Securty and Its Applcatons, pp.283-290 http://dx.do.org/10.14257/sa.2014.8.2.29 A Study on Securty Technque of Cloud Data Processng n Electronc Commerce We Da 1, Xuefang Zhang 2

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

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

ANALYZING 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 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 information

Project Networks With Mixed-Time Constraints

Project 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 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

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

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

NEURO-FUZZY INFERENCE SYSTEM FOR E-COMMERCE WEBSITE EVALUATION

NEURO-FUZZY INFERENCE SYSTEM FOR E-COMMERCE WEBSITE EVALUATION NEURO-FUZZY INFERENE SYSTEM FOR E-OMMERE WEBSITE EVALUATION Huan Lu, School of Software, Harbn Unversty of Scence and Technology, Harbn, hna Faculty of Appled Mathematcs and omputer Scence, Belarusan State

More information

A New Task Scheduling Algorithm Based on Improved Genetic Algorithm

A New Task Scheduling Algorithm Based on Improved Genetic Algorithm A New Task Schedulng Algorthm Based on Improved Genetc Algorthm n Cloud Computng Envronment Congcong Xong, Long Feng, Lxan Chen A New Task Schedulng Algorthm Based on Improved Genetc Algorthm n Cloud Computng

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

Sciences Shenyang, Shenyang, China.

Sciences Shenyang, Shenyang, China. Advanced Materals Research Vols. 314-316 (2011) pp 1315-1320 (2011) Trans Tech Publcatons, Swtzerland do:10.4028/www.scentfc.net/amr.314-316.1315 Solvng the Two-Obectve Shop Schedulng Problem n MTO Manufacturng

More information

RFID Technology and its Advantages

RFID Technology and its Advantages Applyng RFID Technology n Buldng Mantenance Chen-Ho Ko, PhD Natonal Pngtung Unversty of Scence and Technology Pngtung, Tawan Informaton technology applcatons have proven effectve n the mantenance of constructed

More information

The Greedy Method. Introduction. 0/1 Knapsack Problem

The 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 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

Fuzzy Set Approach To Asymmetrical Load Balancing In Distribution Networks

Fuzzy Set Approach To Asymmetrical Load Balancing In Distribution Networks Fuzzy Set Approach To Asymmetrcal Load Balancng n Dstrbuton Networks Goran Majstrovc Energy nsttute Hrvoje Por Zagreb, Croata goran.majstrovc@ehp.hr Slavko Krajcar Faculty of electrcal engneerng and computng

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

Research Article Enhanced Two-Step Method via Relaxed Order of α-satisfactory Degrees for Fuzzy Multiobjective Optimization

Research Article Enhanced Two-Step Method via Relaxed Order of α-satisfactory Degrees for Fuzzy Multiobjective Optimization Hndaw Publshng Corporaton Mathematcal Problems n Engneerng Artcle ID 867836 pages http://dxdoorg/055/204/867836 Research Artcle Enhanced Two-Step Method va Relaxed Order of α-satsfactory Degrees for Fuzzy

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

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

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

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

Overview of monitoring and evaluation

Overview 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 information

Dynamic Constrained Economic/Emission Dispatch Scheduling Using Neural Network

Dynamic Constrained Economic/Emission Dispatch Scheduling Using Neural Network Dynamc Constraned Economc/Emsson Dspatch Schedulng Usng Neural Network Fard BENHAMIDA 1, Rachd BELHACHEM 1 1 Department of Electrcal Engneerng, IRECOM Laboratory, Unversty of Djllal Labes, 220 00, Sd Bel

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

Multi-Period Resource Allocation for Estimating Project Costs in Competitive Bidding

Multi-Period Resource Allocation for Estimating Project Costs in Competitive Bidding Department of Industral Engneerng and Management Techncall Report No. 2014-6 Mult-Perod Resource Allocaton for Estmatng Project Costs n Compettve dng Yuch Takano, Nobuak Ish, and Masaak Murak September,

More information

Robust Design of Public Storage Warehouses. Yeming (Yale) Gong EMLYON Business School

Robust 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 information

Preventive Maintenance and Replacement Scheduling: Models and Algorithms

Preventive Maintenance and Replacement Scheduling: Models and Algorithms Preventve Mantenance and Replacement Schedulng: Models and Algorthms By Kamran S. Moghaddam B.S. Unversty of Tehran 200 M.S. Tehran Polytechnc 2003 A Dssertaton Proposal Submtted to the Faculty of the

More information

Development of an intelligent system for tool wear monitoring applying neural networks

Development of an intelligent system for tool wear monitoring applying neural networks of Achevements n Materals and Manufacturng Engneerng VOLUME 14 ISSUE 1-2 January-February 2006 Development of an ntellgent system for tool wear montorng applyng neural networks A. Antć a, J. Hodolč a,

More information

Optimization Model of Reliable Data Storage in Cloud Environment Using Genetic Algorithm

Optimization Model of Reliable Data Storage in Cloud Environment Using Genetic Algorithm Internatonal Journal of Grd Dstrbuton Computng, pp.175-190 http://dx.do.org/10.14257/gdc.2014.7.6.14 Optmzaton odel of Relable Data Storage n Cloud Envronment Usng Genetc Algorthm Feng Lu 1,2,3, Hatao

More information

A Load-Balancing Algorithm for Cluster-based Multi-core Web Servers

A Load-Balancing Algorithm for Cluster-based Multi-core Web Servers Journal of Computatonal Informaton Systems 7: 13 (2011) 4740-4747 Avalable at http://www.jofcs.com A Load-Balancng Algorthm for Cluster-based Mult-core Web Servers Guohua YOU, Yng ZHAO College of Informaton

More information

Research on Privacy Protection Approach for Cloud Computing Environments

Research on Privacy Protection Approach for Cloud Computing Environments , pp. 113-120 http://dx.do.org/10.14257/jsa.2015.9.3.11 Research on Prvacy Protecton Approach for Cloud Computng Envronments Xaohu L 1,2, Hongxng Lang 3 and Dan Ja 1 1 College of Electrcal and Informaton

More information

ASSESSING THE AVAILABILITY AND ALLOCATION OF PRODUCTION CAPACITY IN A FABRICATION FACILITY THROUGH SIMULATION MODELING: A CASE STUDY

ASSESSING THE AVAILABILITY AND ALLOCATION OF PRODUCTION CAPACITY IN A FABRICATION FACILITY THROUGH SIMULATION MODELING: A CASE STUDY Internatonal Journal of Industral Engneerng, 15(2), 166-175, 2008. ASSESSING THE AVAILABILITY AND ALLOCATION OF PRODUCTION CAPACITY IN A FABRICATION FACILITY THROUGH SIMULATION MODELING: A CASE STUDY J.H.

More information

Set. algorithms based. 1. Introduction. System Diagram. based. Exploration. 2. Index

Set. algorithms based. 1. Introduction. System Diagram. based. Exploration. 2. Index ISSN (Prnt): 1694-0784 ISSN (Onlne): 1694-0814 www.ijcsi.org 236 IT outsourcng servce provder dynamc evaluaton model and algorthms based on Rough Set L Sh Sh 1,2 1 Internatonal School of Software, Wuhan

More information

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT Chapter 4 ECOOMIC DISATCH AD UIT COMMITMET ITRODUCTIO A power system has several power plants. Each power plant has several generatng unts. At any pont of tme, the total load n the system s met by the

More information

PROCESS INNOVATION ORGANIZATIONAL EVOLUTION IN MANUFACTURING ENTERPRISES UNDER THE CIRCUMSTANCE OF INFORMATIONIZATION BASED ON LOTKA-VOLTERRA MODEL

PROCESS INNOVATION ORGANIZATIONAL EVOLUTION IN MANUFACTURING ENTERPRISES UNDER THE CIRCUMSTANCE OF INFORMATIONIZATION BASED ON LOTKA-VOLTERRA MODEL PROCESS INNOVATION ORGANIZATIONAL EVOLUTION IN MANUFACTURING ENTERPRISES UNDER THE CIRCUMSTANCE OF INFORMATIONIZATION BASED ON LOTKA-VOLTERRA MODEL 1, 2 KEXIN BI, 1 DI FENG, 1 QUANZHEN BAO 1 School of

More information

A mobile application for knowledge-enriched short-term scheduling of complex products

A mobile application for knowledge-enriched short-term scheduling of complex products Logst. Res. (2016)9:3 DOI 10.1007/s12159-015-0130-7 ORIGINAL PAPER A moble applcaton for knowledge-enrched short-term schedulng of complex products D. Mourtzs 1 M. Doukas 1 E. Vlachou 1 Receved: 8 June

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

A Simple Approach to Clustering in Excel

A Simple Approach to Clustering in Excel A Smple Approach to Clusterng n Excel Aravnd H Center for Computatonal Engneerng and Networng Amrta Vshwa Vdyapeetham, Combatore, Inda C Rajgopal Center for Computatonal Engneerng and Networng Amrta Vshwa

More information

An Integrated Approach of AHP-GP and Visualization for Software Architecture Optimization: A case-study for selection of architecture style

An Integrated Approach of AHP-GP and Visualization for Software Architecture Optimization: A case-study for selection of architecture style Internatonal Journal of Scentfc & Engneerng Research Volume 2, Issue 7, July-20 An Integrated Approach of AHP-GP and Vsualzaton for Software Archtecture Optmzaton: A case-study for selecton of archtecture

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

Joint Scheduling of Processing and Shuffle Phases in MapReduce Systems

Joint Scheduling of Processing and Shuffle Phases in MapReduce Systems Jont Schedulng of Processng and Shuffle Phases n MapReduce Systems Fangfe Chen, Mural Kodalam, T. V. Lakshman Department of Computer Scence and Engneerng, The Penn State Unversty Bell Laboratores, Alcatel-Lucent

More information

Performance Analysis and Coding Strategy of ECOC SVMs

Performance 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 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

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

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000 Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from

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

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression

A 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 information

Method for Production Planning and Inventory Control in Oil

Method for Production Planning and Inventory Control in Oil Memors of the Faculty of Engneerng, Okayama Unversty, Vol.41, pp.20-30, January, 2007 Method for Producton Plannng and Inventory Control n Ol Refnery TakujImamura,MasamKonshandJunIma Dvson of Electronc

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

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.

More information

Bayesian Network Based Causal Relationship Identification and Funding Success Prediction in P2P Lending

Bayesian Network Based Causal Relationship Identification and Funding Success Prediction in P2P Lending Proceedngs of 2012 4th Internatonal Conference on Machne Learnng and Computng IPCSIT vol. 25 (2012) (2012) IACSIT Press, Sngapore Bayesan Network Based Causal Relatonshp Identfcaton and Fundng Success

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

A New Quality of Service Metric for Hard/Soft Real-Time Applications

A New Quality of Service Metric for Hard/Soft Real-Time Applications A New Qualty of Servce Metrc for Hard/Soft Real-Tme Applcatons Shaoxong Hua and Gang Qu Electrcal and Computer Engneerng Department and Insttute of Advanced Computer Study Unversty of Maryland, College

More information

CONSTRUCTION OF A COLLABORATIVE VALUE CHAIN IN CLOUD COMPUTING ENVIRONMENT

CONSTRUCTION OF A COLLABORATIVE VALUE CHAIN IN CLOUD COMPUTING ENVIRONMENT CONSTRUCTION OF A COLLAORATIVE VALUE CHAIN IN CLOUD COMPUTING ENVIRONMENT Png Wang, School of Econoy and Manageent, Jangsu Unversty of Scence and Technology, Zhenjang Jangsu Chna, sdwangp1975@163.co Zhyng

More information

Research on Engineering Software Data Formats Conversion Network

Research on Engineering Software Data Formats Conversion Network 2606 JOURNAL OF SOFTWARE, VOL. 7, NO. 11, NOVEMBER 2012 Research on Engneerng Software Data Formats Converson Network Wenbn Zhao School of Instrument Scence and Engneerng, Southeast Unversty, Nanng, Jangsu,

More information

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:

SPEE 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 information

Fair Virtual Bandwidth Allocation Model in Virtual Data Centers

Fair Virtual Bandwidth Allocation Model in Virtual Data Centers Far Vrtual Bandwdth Allocaton Model n Vrtual Data Centers Yng Yuan, Cu-rong Wang, Cong Wang School of Informaton Scence and Engneerng ortheastern Unversty Shenyang, Chna School of Computer and Communcaton

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

Effective Network Defense Strategies against Malicious Attacks with Various Defense Mechanisms under Quality of Service Constraints

Effective Network Defense Strategies against Malicious Attacks with Various Defense Mechanisms under Quality of Service Constraints Effectve Network Defense Strateges aganst Malcous Attacks wth Varous Defense Mechansms under Qualty of Servce Constrants Frank Yeong-Sung Ln Department of Informaton Natonal Tawan Unversty Tape, Tawan,

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

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

AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE

AN 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 information

Durham Research Online

Durham Research Online Durham Research Onlne Deposted n DRO: 9 March 21 Verson of attached le: Accepted Verson Peer-revew status of attached le: Peer-revewed Ctaton for publshed tem: Matthews, P. C. and Coates, G. (27) 'Stochastc

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

A Dynamic Load Balancing for Massive Multiplayer Online Game Server

A Dynamic Load Balancing for Massive Multiplayer Online Game Server A Dynamc Load Balancng for Massve Multplayer Onlne Game Server Jungyoul Lm, Jaeyong Chung, Jnryong Km and Kwanghyun Shm Dgtal Content Research Dvson Electroncs and Telecommuncatons Research Insttute Daejeon,

More information

Allocating Time and Resources in Project Management Under Uncertainty

Allocating Time and Resources in Project Management Under Uncertainty Proceedngs of the 36th Hawa Internatonal Conference on System Scences - 23 Allocatng Tme and Resources n Project Management Under Uncertanty Mark A. Turnqust School of Cvl and Envronmental Eng. Cornell

More information

How To Solve An Onlne Control Polcy On A Vrtualzed Data Center

How To Solve An Onlne Control Polcy On A Vrtualzed Data Center Dynamc Resource Allocaton and Power Management n Vrtualzed Data Centers Rahul Urgaonkar, Ulas C. Kozat, Ken Igarash, Mchael J. Neely urgaonka@usc.edu, {kozat, garash}@docomolabs-usa.com, mjneely@usc.edu

More information

Heuristic Static Load-Balancing Algorithm Applied to CESM

Heuristic Static Load-Balancing Algorithm Applied to CESM Heurstc Statc Load-Balancng Algorthm Appled to CESM 1 Yur Alexeev, 1 Sher Mckelson, 1 Sven Leyffer, 1 Robert Jacob, 2 Anthony Crag 1 Argonne Natonal Laboratory, 9700 S. Cass Avenue, Argonne, IL 60439,

More information

Resource-constrained Project Scheduling with Fuzziness

Resource-constrained Project Scheduling with Fuzziness esource-constraned Project Schedulng wth Fuzzness HONGQI PN, OBET J. WIIS, CHUNG-HSING YEH School of Busness Systems Monash Unversty Clayton, Vctora 368 USTI bstract: - esource-constraned project schedulng

More information

Expert Systems with Applications

Expert Systems with Applications Expert Systems wth Applcatons 38 (2011) 2741 2751 Contents lsts avalable at ScenceDrect Expert Systems wth Applcatons journal homepage: www.elsever.com/locate/eswa A combned methodology for suppler selecton

More information

How To Improve Power Demand Response Of A Data Center Wth A Real Time Power Demand Control Program

How To Improve Power Demand Response Of A Data Center Wth A Real Time Power Demand Control Program Demand Response of Data Centers: A Real-tme Prcng Game between Utltes n Smart Grd Nguyen H. Tran, Shaole Ren, Zhu Han, Sung Man Jang, Seung Il Moon and Choong Seon Hong Department of Computer Engneerng,

More information

Dynamic Scheduling of Emergency Department Resources

Dynamic Scheduling of Emergency Department Resources Dynamc Schedulng of Emergency Department Resources Junchao Xao Laboratory for Internet Software Technologes, Insttute of Software, Chnese Academy of Scences P.O.Box 8718, No. 4 South Fourth Street, Zhong

More information

Period and Deadline Selection for Schedulability in Real-Time Systems

Period and Deadline Selection for Schedulability in Real-Time Systems Perod and Deadlne Selecton for Schedulablty n Real-Tme Systems Thdapat Chantem, Xaofeng Wang, M.D. Lemmon, and X. Sharon Hu Department of Computer Scence and Engneerng, Department of Electrcal Engneerng

More information

HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA*

HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA* HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA* Luísa Farnha** 1. INTRODUCTION The rapd growth n Portuguese households ndebtedness n the past few years ncreased the concerns that debt

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

Luby s Alg. for Maximal Independent Sets using Pairwise Independence

Luby 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 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