BUSINESS PROCESS PERFORMANCE MANAGEMENT USING BAYESIAN BELIEF NETWORK. 0688,

Size: px
Start display at page:

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

Transcription

1 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 Km 3, Suk-ho Kang 1 1 Department of Industral Engneerng, Seoul, Natonal Unversty, , 2 Entrue Consultng BU, LG CNS, , 3 Department of Industral and Informaton Systems Engneerng, Soongsl Unversty, , Abstract As busness envronment changes dynamcally, effcent management strategy and rsk management are requred for a company to survve. To cope wth such requrements, BPMS (busness process management system) has been developed. BPMS enables companes to manage and mprove ther processes contnuously. Most of earler studes on busness process management have been focused upon process modelng, executon, and montorng. Therefore, there are a few researches that nvestgate how to mprove busness processes. Ths paper proposes a method for busness process performance management that ranges from busness actvty montorng to escalaton. To consder dependences between tasks, Bayesan belef network s employed and mathematcal model s desgned to determne the tasks to be escalated. Keywords: busness process management system (BPMS), key performance ndcator (KPI), Bayesan belef network (BBN), escalaton 1. Introducton As busness envronment changes dynamcally and competton becomes ferce, t s mportant for enterprses to handle rsks and to buld effcent management strateges. Under these changes n busness envronment, enterprses need to defne ther own crtcal success factors and key performance ndcators (KPIs) to evaluate the present state of operatons, and then they try to fnd the method for mprovng performance. Several performance measurement systems are n use today, and each has ts own group of supporters. One of the most nfluental approaches that have been mplemented n many companes s performance measurement whch s commonly based on the Balanced Scorecard (BSC) [7]. However, the performance measurement systems based on the BSC usually take a vertcal vew. Ths means that the structure of the BSC often mrrors the organzaton charts of enterprse to be measured. The ncluson of the organzatonal unts s mportant, but t s nsuffcent. Küng et al [9] proposed a performance measurement system consderng busness processes to take a horzontal flow. One of the most wdely used approaches consderng the horzontal flow s busness process management system (BPMS). BPMS extends the functonalty of workflow management systems (WfMS) beyond automaton nto areas such as analyss, montorng and cross-organzatonal nteractons [15]. The BPMS enables all stakeholders to have an understandng of an organzaton and ts performance, and to facltate process mprovement. The research ssues of the BPMS are categorzed n the perspectve of the process lfe cycle nto four groups: modelng, executon, montorng, and mprovement. Most of earler researches on the BPMS have been focused upon process modelng, executon, montorng. Therefore, there are a few researches that nvestgate how to mprove busness processes usng montored process data. And the researches related to process mprovement suggest general gudelnes through establshment of a framework rather than specfc escalaton methods. Also, most of them assume that tasks or components of a process are mutually ndependent. Ths paper proposes a method for busness process performance management that ranges from busness actvty montorng to mprovement. To consder dependences between tasks, Bayesan belef network s employed and mathematcal model s desgned usng key performance ndcators to 635

2 Proceedngs of the 41st Internatonal Conference on Computers & Industral Engneerng evaluate performance of a task. The rest of the paper s organzed as follows. In secton 2, we revewed related work. Secton 3, present the busness process escalaton framework, and secton 4 descrbes the process escalaton strateges wth expermental results. Fnally, conclusons and future work are summarzed n secton Related work 2.1. Process montorng Montorng encompasses the trackng of ndvdual process nstances, so that nformaton on ther state can be vsualzed, and statstcs on the performance of processes can be provded. Ths nformaton can be used to work wth every partcpant n processes, so that problems n operatons can be dentfed and corrected. The degree of montorng depends on what nformaton the busness wants to evaluate and analyze and how busness wants t to be montored. Busness actvty montorng (BAM) coned by Gartner group s soluton for montorng of busness actvtes. BAM extendng montorng tools generally provded by BPMS refers to the aggregaton, analyss, and presentaton of real-tme nformaton about actvtes nsde organzatons. Most general approach for performance measurement usng operatonal data s to compare 'as-s' state and 'to-be' state. Based on the comparson of these two states, Roznat et al [14] suggested the method of workflow smulaton for operatonal decson support. Also, decson support method was proposed to buld rule-based event processng whch s consderng the dependences of state nformaton [8]. The exstng rule-based approaches defne the rules as a form of If condton Then acton. The rules are usually extracted from hstorcal log data or desgned by doman experts manually. To extract the meanngful correlatons, other methods whch are applyng decson tree [4], and genetc algorthm [1] were developed for montorng of the process nstances. However, these rule-based approaches have a lmt to evaluate the performance reactvely, rather than proactvely [6]. Rules are usually extracted from the attrbutes of completed nstances from hstorcal log data. However, an ongong nstance has only partal nformaton, composed of collected attrbutes of events untl observaton perod. Ths causes that a rule-based montorng system wats untl all the condtons of predefned rules are observed n ongong processes Process escalaton Accordng to the defnton of the WfMC process escalaton s a procedure executed when predefned constrants or condtons are not fulflled [16]. Ths means that the escalaton s an addtonal actvty to prevent montored process nstances from causng uncontrollable states of a process. As the abnormal states and ther escalaton methods can be dfferently defned accordng to the contexts of busness processes and envronments, t s dffcult to provde general soluton for the process escalaton. General approach to abnormal state analyss and escalaton method decson s smulatonbased. Smulaton s repeatedly performed to confrm whether a process nstance can be termnated successfully n varyng the value of the performance ndcators under the current condtons [11, 14]. After ths nvestgaton of the process nstance through smulaton, the target of escalaton s dentfed. And then, approprate actons wll be served to the nstance accordng to the extent of abnormalty on the performance ndcators. For example, ntensty of the escalaton can be controlled by the extent of overtme [2, 5, 12]. To determne the extent of the abnormalty, Grgor et al [3] set up the rule usng classfcaton technques lke decson tree and showed the escalaton taken by re-arrangement of the task prortes. In ths paper, we propose a method for busness process performance management that ranges from busness actvty montorng to mprovement. To evaluate the performance and abnormalty of tasks, cost and tme ndcators are consdered. And escalaton s conducted n a way that addtonal resources (e.g. cost and tme) are suppled to tasks. 636

3 Proceedngs of the 41st Internatonal Conference on Computers & Industral Engneerng 3. Busness Process Escalaton Framework Fgure 1 llustrates the escalaton framework n BPMS. The abnormal state analyss and the escalaton engne are covered area n ths paper. Fgure 1. Escalaton framework n BPMS 3.1. Abnormal state analyss KPIs seen as a means of quantfyng the effcency and effectveness of tasks can be used to the current state of a process. As a process s a collecton of related, structured tasks that produce specfc actons, the evaluaton of a process can be done by aggregaton of task-level KPIs. However, t s unsutable to use task-level KPIs drectly to evaluate the performance of a process [3]. Because each task has dfferent KPIs and t s dffcult to dentfy relatonshps between the values of task-level KPIs n each task. Hence, each task s evaluated as a status correspondng to the combnaton of ts KPI values. In table 1, we can summarze the status of a task usng the followng states. state Best Good Normal Bad Worst Table 1. Status of a task descrpton All the KPI values n a task obtan good results The KPI values n a task lead postve effects to followng tasks General results when a task s ended Not serous, but the task concluded contans possble rsks affectng to followng tasks Montored results n a task leadng negatve effects to followng tasks Based on the hstorcal data of process executon, the status of a present task s determned. To formulate the status of a task, ordnary least squares lnear multple regresson s used. Table 2 descrbes the regresson model used n ths paper to determne the status of a task. At the end of every sngle task, the status of a task s evaluated assgnng KPI values to correspondng varables n the model. Table 2. Regresson model Y state value of th task jth KPI s normalzed value xj Y 0 2 x1 2 x1... n xn of th task j coeffcent 0~a a~b b~c c~d d~1 n number of KPIs n th task State Best Worst Bad Normal Good error term * a, b, c, d : cut-off value 637

4 Proceedngs of the 41st Internatonal Conference on Computers & Industral Engneerng State predcton module whch to target tasks remaned or undone s operated every tme the status of a task s determned. It s assumed that a currently fnshed task or the determned status of a task can have nfluence on other unfnshed tasks. For example, f the status of a currently fnshed task s evaluated as worst, followng tasks are affected by the negatve status of the prevous task, so that t s lkely that these unfnshed tasks wll have lower performances. To consder these dependences between tasks, a Bayesan network s employed. The reason why we use a Bayesan network s as follows. As a Bayesan network can be represented as a drected acyclc graph, t s easy to model a process whch conssts of a sequence of connected tasks. A Bayesan network provdes a clear semantc nterpretaton of the model parameters. Unlke neural network models, whch usually appear to the user as a black box, all the parameters n a Bayesan network has an understandable semantc nterpretaton. It s easy to handle doman expert knowledge. In Bayesan modelng, doman knowledge can be coded as pror dstrbutons, pror meanng that probablty dstrbutons are defned before and ndependently of processng any possble sample data. Ths allows for combnng expert knowledge wth statstcal data n a very practcal way. From the doman knowledge and the hstorcal data, parameters needed to buld a Bayesan network are estmated. Usng ths network, the expected status of unfnshed tasks can be calculated probablstcally and we can nference last task n a gven process whether ends up successfully or not Escalaton To execute a task, tangble or ntangble resources related to busness process are requred. The knds of such resources are cost, tme, human resources, materals, etc. As avalable resources have a strong nfluence on the performance of a task, we assume that the more resources are assgned to a task, the better performance can be acheved. In ths paper, we only consder cost and tme. Because not only earler work done by [2, 10, 13] consdered cost and tme, but also these two resources are related to the performance ndcators drectly and ndrectly. Escalaton s a procedure whch s nvoked f last task n a process have a hgh probablty that wll be a negatve state. Escalaton s done by comparson between the worst state probablty of last task n a process and allowable lmt. In other words, based on the fnshed task, the worst state probablty of last task s calculated and then, escalaton s amed to lower ths probablty than maxmum lmt of the worst state probablty. Determnaton of tasks to be escalated s performed by followng model n table 3. Usng the model descrbed above, tasks to be escalated and necessary escalaton cost are determned. 4. Experments Experments are done to apply and evaluate the proposed escalaton method to the process composed of sequentally connected ffteen tasks. To show the effcency of the proposed escalaton method, escalaton polces are desgned as below. Rule-based escalaton Rule-based escalaton represented as a form of If condton Then acton s a most wdely used approach n BPMS. We consdered followng two rules. (1) If the prevous task s evaluated as bad or worst, escalaton wll be done to the followng task by rasng the normal state. (2) If the prevous two tasks are evaluated as (worst, worst) or (bad, worst), escalaton wll be done to the followng task by rasng the good state. 638

5 Proceedngs of the 41st Internatonal Conference on Computers & Industral Engneerng N s x c jk w,, t jk w Table 3. Escalaton model a set of unfnshed tasks state of task decson varable whch ndcates whether unfnshed task wll be escalated or not addtonal cost and tme related to mprove the state of task from state j to k. The ndces j, k are on a scale of 1 to 5. The ndces are larger, the better performance can be acheved. w 1 weghts correspondng to escalaton cost and tme, where c wt c t Pworst ( sn s1, s2,..., sn 1) the worst state probablty of task n, derved from the Bayesan network P maxmum lmt of the worst state probablty B, T avalable budget and tme for escalaton mn w c x w t x (1) (1) Objectve functon s formulated as jk jk c t N j j k c 15 N j j k t 15 Pworst ( sn s1, s2,..., sn 1) P (2) N j j k N j j k c x B jk t x T jk x {0,1}, s { worst, bad, normal, good, best} (3) (4) a weghted sum of normalzed escalaton cost and tme. And t wll mnmze the effort for the escalaton. (2) the worst state probablty of last task n a process s less than allowable lmt (3) budget constrant (4) tme constrant No escalaton There are no escalaton actons to tasks n a process. Cost used n ths case s zero. Varyng the maxmum lmt of the worst state probablty, escalaton cost and the rato of nstances not fnshed n worst state are compared. Each escalaton polcy s executed 500 tmes. Results are shown at fgure 2. Fgure 2. Comparson experments As shown n fgure 2, the proposed escalaton method use less cost compared to other polces, because t has lttle chance of escalaton to tasks whch have low dependences wth others. Also, the proposed escalaton method shows hgh performance n the case of rgorous lmt. 639

6 Proceedngs of the 41st Internatonal Conference on Computers & Industral Engneerng 5. Conclusons In ths paper, we propose a method for busness process performance management that ranges from busness actvty montorng to escalaton. To consder dependences between tasks, Bayesan belef network s employed and mathematcal model s desgned to determne the tasks to be escalated. And we show that the proposed escalaton method s useful n the case of rgorous lmt and has a good performance compared wth the rule-based escalaton. There stll reman several further research ssues to be dealt wth. The model can represent varous structural features of process. In the model ntroduced here, tasks are connected sequentally. Processes n real world, however, can have other structures such as parallel, condton, and teraton. Also, technques to represent non-lnear relatonshps between performance ndcators can be consdered. Acknowledgement Ths work s supported by the Natonal Research Foundaton of Korea (NRF) grant funded by the Korea government (MEST) (No ). References [1] M. Albaghdad, B. Brley, and M. Evens, "Event storm detecton and dentfcaton n communcaton systems," Relablty Engneerng & System Safety, vol. 91, pp , [2] J. Eder, E. Panagos, and M. Rabnovch, "Tme Constrants n Workflow Systems," the Proceedngs of the 11th Internatonal Conference on Advanced Informaton Systems Engneerng, [3] D. Grgor, F. Casat, M. Castellanos, U. Dayal, M. Sayal, and M. C. Shan, "Busness process ntellgence," Computers n Industry, vol. 53, pp , Apr [4] D. Grgor, F. Casat, U. Dayal, and M.-C. Shan, "Improvng Busness Process Qualty through Excepton Understandng, Predcton, and Preventon," the Proceedngs of the 27th Internatonal Conference on Very Large Data Bases, [5] E. Johann, P. Euthmos, P. Henz, and R. Mchael, "tme management n workflow systems," presented at the BIS'99, [6] B. Kang, S. K. Lee, Y.-b. Mn, S.-H. Kang, and N. W. Cho, "Real-tme Process Qualty Control for Busness Actvty Montorng," the Proceedngs of the 2009 Internatonal Conference on Computatonal Scence and Its Applcatons, [7] R.S. Kaplan, D.P. Norton, The Balanced Scorecard, Harvard Busness School Press, [8] A. Lundberg, "Leverage Complex Event Processng to Improve Operatonal Performance," Busness Intellgence, vol. 11, pp , [9] P. Küng, A. Krahn, Buldng a Process Performance Measurement System some early experences, Journal of Scentfc and Industral Research, Vol. 58, No. 3/4, [10] R. S. Mans, N. C. Russell, W. van der Aalst, P. J. M. Bakker, and A. J. Moleman, "Smulaton to Analyze the Impact of a Schedule-aware Workflow Management System," Smulaton-Transactons of the Socety for Modelng and Smulaton Internatonal, vol. 86, pp , [11] J. Nakatumba, A. Roznat, and N. Russell, "busness process smulaton: how to get t rght," ed: Sprnger-Verlag, [12] E. Panagos and M. Rabnovch, "Escalatons n workflow management systems," the Proceedngs of the workshop on on Databases: actve and real-tme, [13] O. O. Prsecaru, "Resource workflow nets: an approach to workflow modellng and analyss," Enterprse Informaton Systems, vol. 2, pp , [14] A. Roznat, M. T. Wynn, W. M. P. van der Aalst, A. H. M. ter Hofstede, and C. J. Fdge, "Workflow smulaton for operatonal decson support," Data & Knowledge Engneerng, vol. 68, pp , [15] W. M. P. van der Aalst, M. Rosemann, and M. Dumas, "Deadlne-based escalaton n process-aware nformaton systems," Decson Support Systems, vol. 43, pp , [16] Workflow Management Coalton, Workflow Management Coalton Termnology & Glossary Doc.-Nr: WFMC-TC-1011,

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

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

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

Methodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications

Methodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications Methodology to Determne Relatonshps between Performance Factors n Hadoop Cloud Computng Applcatons Lus Eduardo Bautsta Vllalpando 1,2, Alan Aprl 1 and Alan Abran 1 1 Department of Software Engneerng and

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

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

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

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

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

METHODOLOGY TO DETERMINE RELATIONSHIPS BETWEEN PERFORMANCE FACTORS IN HADOOP CLOUD COMPUTING APPLICATIONS

METHODOLOGY TO DETERMINE RELATIONSHIPS BETWEEN PERFORMANCE FACTORS IN HADOOP CLOUD COMPUTING APPLICATIONS METHODOLOGY TO DETERMINE RELATIONSHIPS BETWEEN PERFORMANCE FACTORS IN HADOOP CLOUD COMPUTING APPLICATIONS Lus Eduardo Bautsta Vllalpando 1,2, Alan Aprl 1 and Alan Abran 1 1 Department of Software Engneerng

More information

Activity Scheduling for Cost-Time Investment Optimization in Project Management

Activity Scheduling for Cost-Time Investment Optimization in Project Management PROJECT MANAGEMENT 4 th Internatonal Conference on Industral Engneerng and Industral Management XIV Congreso de Ingenería de Organzacón Donosta- San Sebastán, September 8 th -10 th 010 Actvty Schedulng

More information

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

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

More information

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

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network *

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network * JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 24, 819-840 (2008) Data Broadcast on a Mult-System Heterogeneous Overlayed Wreless Network * Department of Computer Scence Natonal Chao Tung Unversty Hsnchu,

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

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

Some literature also use the term Process Control

Some literature also use the term Process Control A Formal Approach for Internal Controls Complance n Busness Processes Koumars Namr 1, Nenad Stojanovc 2 1 SAP Research Center CEC Karlsruhe, SAP AG, Vncenz-Preßntz-Str.1 76131 Karlsruhe, Germany Koumars.Namr@sap.com

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

An Interest-Oriented Network Evolution Mechanism for Online Communities

An 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 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

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

Software project management with GAs

Software project management with GAs Informaton Scences 177 (27) 238 241 www.elsever.com/locate/ns Software project management wth GAs Enrque Alba *, J. Francsco Chcano Unversty of Málaga, Grupo GISUM, Departamento de Lenguajes y Cencas de

More information

An Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services

An 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 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

Selecting Best Employee of the Year Using Analytical Hierarchy Process

Selecting Best Employee of the Year Using Analytical Hierarchy Process J. Basc. Appl. Sc. Res., 5(11)72-76, 2015 2015, TextRoad Publcaton ISSN 2090-4304 Journal of Basc and Appled Scentfc Research www.textroad.com Selectng Best Employee of the Year Usng Analytcal Herarchy

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

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

Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters Frequency Selectve IQ Phase and IQ Ampltude Imbalance Adjustments for OFDM Drect Converson ransmtters Edmund Coersmeer, Ernst Zelnsk Noka, Meesmannstrasse 103, 44807 Bochum, Germany edmund.coersmeer@noka.com,

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

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

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

Business Process Improvement using Multi-objective Optimisation K. Vergidis 1, A. Tiwari 1 and B. Majeed 2

Business Process Improvement using Multi-objective Optimisation K. Vergidis 1, A. Tiwari 1 and B. Majeed 2 Busness Process Improvement usng Mult-objectve Optmsaton K. Vergds 1, A. Twar 1 and B. Majeed 2 1 Manufacturng Department, School of Industral and Manufacturng Scence, Cranfeld Unversty, Cranfeld, MK43

More information

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT

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

More information

MAPP. MERIS level 3 cloud and water vapour products. Issue: 1. Revision: 0. Date: 9.12.1998. Function Name Organisation Signature Date

MAPP. MERIS level 3 cloud and water vapour products. Issue: 1. Revision: 0. Date: 9.12.1998. Function Name Organisation Signature Date Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller

More information

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

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

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

More information

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

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

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

More information

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

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

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

The Analysis of Outliers in Statistical Data

The Analysis of Outliers in Statistical Data THALES Project No. xxxx The Analyss of Outlers n Statstcal Data Research Team Chrysses Caron, Assocate Professor (P.I.) Vaslk Karot, Doctoral canddate Polychrons Economou, Chrstna Perrakou, Postgraduate

More information

THE APPLICATION OF DATA MINING TECHNIQUES AND MULTIPLE CLASSIFIERS TO MARKETING DECISION

THE APPLICATION OF DATA MINING TECHNIQUES AND MULTIPLE CLASSIFIERS TO MARKETING DECISION Internatonal Journal of Electronc Busness Management, Vol. 3, No. 4, pp. 30-30 (2005) 30 THE APPLICATION OF DATA MINING TECHNIQUES AND MULTIPLE CLASSIFIERS TO MARKETING DECISION Yu-Mn Chang *, Yu-Cheh

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

RELIABILITY, RISK AND AVAILABILITY ANLYSIS OF A CONTAINER GANTRY CRANE ABSTRACT

RELIABILITY, RISK AND AVAILABILITY ANLYSIS OF A CONTAINER GANTRY CRANE ABSTRACT Kolowrock Krzysztof Joanna oszynska MODELLING ENVIRONMENT AND INFRATRUCTURE INFLUENCE ON RELIABILITY AND OPERATION RT&A # () (Vol.) March RELIABILITY RIK AND AVAILABILITY ANLYI OF A CONTAINER GANTRY CRANE

More information

On File Delay Minimization for Content Uploading to Media Cloud via Collaborative Wireless Network

On File Delay Minimization for Content Uploading to Media Cloud via Collaborative Wireless Network On Fle Delay Mnmzaton for Content Uploadng to Meda Cloud va Collaboratve Wreless Network Ge Zhang and Yonggang Wen School of Computer Engneerng Nanyang Technologcal Unversty Sngapore Emal: {zh0001ge, ygwen}@ntu.edu.sg

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

Traffic-light a stress test for life insurance provisions

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

More information

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

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

ERP Software Selection Using The Rough Set And TPOSIS Methods

ERP Software Selection Using The Rough Set And TPOSIS Methods ERP Software Selecton Usng The Rough Set And TPOSIS Methods Under Fuzzy Envronment Informaton Management Department, Hunan Unversty of Fnance and Economcs, No. 139, Fengln 2nd Road, Changsha, 410205, Chna

More information

Ants Can Schedule Software Projects

Ants Can Schedule Software Projects Ants Can Schedule Software Proects Broderck Crawford 1,2, Rcardo Soto 1,3, Frankln Johnson 4, and Erc Monfroy 5 1 Pontfca Unversdad Católca de Valparaíso, Chle FrstName.Name@ucv.cl 2 Unversdad Fns Terrae,

More information

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES In ths chapter, we wll learn how to descrbe the relatonshp between two quanttatve varables. Remember (from Chapter 2) that the terms quanttatve varable

More information

FORMAL ANALYSIS FOR REAL-TIME SCHEDULING

FORMAL ANALYSIS FOR REAL-TIME SCHEDULING FORMAL ANALYSIS FOR REAL-TIME SCHEDULING Bruno Dutertre and Vctora Stavrdou, SRI Internatonal, Menlo Park, CA Introducton In modern avoncs archtectures, applcaton software ncreasngly reles on servces provded

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

Multiple-Period Attribution: Residuals and Compounding

Multiple-Period Attribution: Residuals and Compounding Multple-Perod Attrbuton: Resduals and Compoundng Our revewer gave these authors full marks for dealng wth an ssue that performance measurers and vendors often regard as propretary nformaton. In 1994, Dens

More information

Estimating the Development Effort of Web Projects in Chile

Estimating the Development Effort of Web Projects in Chile Estmatng the Development Effort of Web Projects n Chle Sergo F. Ochoa Computer Scences Department Unversty of Chle (56 2) 678-4364 sochoa@dcc.uchle.cl M. Cecla Bastarrca Computer Scences Department Unversty

More information

Complex Service Provisioning in Collaborative Cloud Markets

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

More information

Design of an Organizational Quality Performance Evaluation Model by Combining EFQM-SIX SIGMA

Design of an Organizational Quality Performance Evaluation Model by Combining EFQM-SIX SIGMA Onlne Access: www.absronlne.org/ournals Management and Admnstratve Scences Revew Volume 4, Issue Pages: 4-48 March 015 e-issn: 08-168 p-issn: 10-87X Desgn of an Organzatonal Qualty Performance Evaluaton

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

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

Research Article QoS and Energy Aware Cooperative Routing Protocol for Wildfire Monitoring Wireless Sensor Networks

Research Article QoS and Energy Aware Cooperative Routing Protocol for Wildfire Monitoring Wireless Sensor Networks The Scentfc World Journal Volume 3, Artcle ID 43796, pages http://dx.do.org/.55/3/43796 Research Artcle QoS and Energy Aware Cooperatve Routng Protocol for Wldfre Montorng Wreless Sensor Networks Mohamed

More information

A Replication-Based and Fault Tolerant Allocation Algorithm for Cloud Computing

A Replication-Based and Fault Tolerant Allocation Algorithm for Cloud Computing A Replcaton-Based and Fault Tolerant Allocaton Algorthm for Cloud Computng Tork Altameem Dept of Computer Scence, RCC, Kng Saud Unversty, PO Box: 28095 11437 Ryadh-Saud Araba Abstract The very large nfrastructure

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

Design and Development of a Security Evaluation Platform Based on International Standards

Design and Development of a Security Evaluation Platform Based on International Standards Internatonal Journal of Informatcs Socety, VOL.5, NO.2 (203) 7-80 7 Desgn and Development of a Securty Evaluaton Platform Based on Internatonal Standards Yuj Takahash and Yoshm Teshgawara Graduate School

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

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

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

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

More information

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

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

Conversion between the vector and raster data structures using Fuzzy Geographical Entities

Conversion between the vector and raster data structures using Fuzzy Geographical Entities Converson between the vector and raster data structures usng Fuzzy Geographcal Enttes Cdála Fonte Department of Mathematcs Faculty of Scences and Technology Unversty of Combra, Apartado 38, 3 454 Combra,

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

RequIn, a tool for fast web traffic inference

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

More information

Determination of Integrated Risk Degrees in Product Development Project

Determination of Integrated Risk Degrees in Product Development Project Proceedngs of the World Congress on Engneerng and Computer Scence 009 Vol II WCECS 009, October 0-, 009, San Francsco, USA Determnaton of Integrated sk Degrees n Product Development Project D. W. Cho.,

More information

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

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

More information

Optimal Bidding Strategies for Generation Companies in a Day-Ahead Electricity Market with Risk Management Taken into Account

Optimal Bidding Strategies for Generation Companies in a Day-Ahead Electricity Market with Risk Management Taken into Account Amercan J. of Engneerng and Appled Scences (): 8-6, 009 ISSN 94-700 009 Scence Publcatons Optmal Bddng Strateges for Generaton Companes n a Day-Ahead Electrcty Market wth Rsk Management Taken nto Account

More information

J. Parallel Distrib. Comput.

J. Parallel Distrib. Comput. J. Parallel Dstrb. Comput. 71 (2011) 62 76 Contents lsts avalable at ScenceDrect J. Parallel Dstrb. Comput. journal homepage: www.elsever.com/locate/jpdc Optmzng server placement n dstrbuted systems n

More information

Decision Tree Model for Count Data

Decision Tree Model for Count Data Proceedngs of the World Congress on Engneerng 2012 Vol I Decson Tree Model for Count Data Yap Bee Wah, Norashkn Nasaruddn, Wong Shaw Voon and Mohamad Alas Lazm Abstract The Posson Regresson and Negatve

More information

Credit Limit Optimization (CLO) for Credit Cards

Credit Limit Optimization (CLO) for Credit Cards Credt Lmt Optmzaton (CLO) for Credt Cards Vay S. Desa CSCC IX, Ednburgh September 8, 2005 Copyrght 2003, SAS Insttute Inc. All rghts reserved. SAS Propretary Agenda Background Tradtonal approaches to credt

More information

Web Object Indexing Using Domain Knowledge *

Web Object Indexing Using Domain Knowledge * Web Object Indexng Usng Doman Knowledge * Muyuan Wang Department of Automaton Tsnghua Unversty Bejng 100084, Chna (86-10)51774518 Zhwe L, Le Lu, We-Yng Ma Mcrosoft Research Asa Sgma Center, Hadan Dstrct

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

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

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

Abstract. 260 Business Intelligence Journal July IDENTIFICATION OF DEMAND THROUGH STATISTICAL DISTRIBUTION MODELING FOR IMPROVED DEMAND FORECASTING

Abstract. 260 Business Intelligence Journal July IDENTIFICATION OF DEMAND THROUGH STATISTICAL DISTRIBUTION MODELING FOR IMPROVED DEMAND FORECASTING 260 Busness Intellgence Journal July IDENTIFICATION OF DEMAND THROUGH STATISTICAL DISTRIBUTION MODELING FOR IMPROVED DEMAND FORECASTING Murphy Choy Mchelle L.F. Cheong School of Informaton Systems, Sngapore

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

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

Cloud Auto-Scaling with Deadline and Budget Constraints

Cloud Auto-Scaling with Deadline and Budget Constraints Prelmnary verson. Fnal verson appears In Proceedngs of 11th ACM/IEEE Internatonal Conference on Grd Computng (Grd 21). Oct 25-28, 21. Brussels, Belgum. Cloud Auto-Scalng wth Deadlne and Budget Constrants

More information

Automated Network Performance Management and Monitoring via One-class Support Vector Machine

Automated Network Performance Management and Monitoring via One-class Support Vector Machine Automated Network Performance Management and Montorng va One-class Support Vector Machne R. Zhang, J. Jang, and S. Zhang Dgtal Meda & Systems Research Insttute, Unversty of Bradford, UK Abstract: In ths

More information

A GENERAL APPROACH FOR SECURITY MONITORING AND PREVENTIVE CONTROL OF NETWORKS WITH LARGE WIND POWER PRODUCTION

A GENERAL APPROACH FOR SECURITY MONITORING AND PREVENTIVE CONTROL OF NETWORKS WITH LARGE WIND POWER PRODUCTION A GENERAL APPROACH FOR SECURITY MONITORING AND PREVENTIVE CONTROL OF NETWORKS WITH LARGE WIND POWER PRODUCTION Helena Vasconcelos INESC Porto hvasconcelos@nescportopt J N Fdalgo INESC Porto and FEUP jfdalgo@nescportopt

More information

Statistical Methods to Develop Rating Models

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

More information

A 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

Control Charts with Supplementary Runs Rules for Monitoring Bivariate Processes

Control Charts with Supplementary Runs Rules for Monitoring Bivariate Processes Control Charts wth Supplementary Runs Rules for Montorng varate Processes Marcela. G. Machado *, ntono F.. Costa * * Producton Department, Sao Paulo State Unversty, Campus of Guaratnguetá, 56-4 Guaratnguetá,

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

Dynamic Fleet Management for Cybercars

Dynamic 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

The Current Employment Statistics (CES) survey,

The 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 information

A DATA MINING APPLICATION IN A STUDENT DATABASE

A DATA MINING APPLICATION IN A STUDENT DATABASE JOURNAL OF AERONAUTICS AND SPACE TECHNOLOGIES JULY 005 VOLUME NUMBER (53-57) A DATA MINING APPLICATION IN A STUDENT DATABASE Şenol Zafer ERDOĞAN Maltepe Ünversty Faculty of Engneerng Büyükbakkalköy-Istanbul

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

Return decomposing of absolute-performance multi-asset class portfolios. Working Paper - Nummer: 16

Return decomposing of absolute-performance multi-asset class portfolios. Working Paper - Nummer: 16 Return decomposng of absolute-performance mult-asset class portfolos Workng Paper - Nummer: 16 2007 by Dr. Stefan J. Illmer und Wolfgang Marty; n: Fnancal Markets and Portfolo Management; March 2007; Volume

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

Single and multiple stage classifiers implementing logistic discrimination

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

More information