A Distributed Problem Solving Environment (PSE) for Scientific Computing
|
|
- Florence Ford
- 5 years ago
- Views:
Transcription
1 Presented at PSE Workshop held n 1st IEEE Internatonal Conference on e-scence and Grd Computng, Melbourne, Dec. 5, 005 A Dstrbuted Problem Solvng Envronment (PSE) for Scentfc Computng Shgeo Kawata 1), Hdeak Fuju 1), Hdeak Sugura 1), Yuch Satoh 1), Yoshkazu Hayase ), Takayuk Teramoto 3), Takash Kkuch 1), Htohde Usam 4), Hroyuk Kanazawa 5), Motohro Yamada 5), Yutaka Myahara 5), Masahde Fujsak 5) 1) Graduate School of Engneerng, Utsunomya Unversty 7-1- Yohtoh, Utsunomya , Japan,kwt@cc.utsunomya-u.ac.jp ) Department of Electronc Control Engneerng, Toyama Natonal College of Martme Technology, 1- Ebe Nerya, Shnmnato, Toyama, , Japan 3) Department of Electroncs and Computer Engneerng, Tsuyama Natonal College of Technology Numa 64-1, Tsuyama, , Japan 4) Natonal Insttute of Informatcs, Center for Grd Research and Development, Jnbocho Mtsubuldng 14F(NAREGI), 1-105, Kanda-Jnbocho, Chyoda-ku, Tokyo , Japan 5) Computatonal Scence and Engneerng Center, Fujtsu Lmted, Mhama-ku, Chba , Japan Abstract A dstrbuted Problem Solvng Envronment (PSE) s proposed to help users solve partal dfferental equaton (PDE) based problems n scentfc computng. The system nputs a problem descrpton and outputs a program flow, a C-language source code for the problem and also a document for the program. Each module s dstrbuted on dstrbuted computers. The PSE contans all the nformaton of the problem, PDEs, dscretzaton scheme, mesh nformaton, equaton manpulaton results, desgned program structure, varable and constant defntons and program tself. Therefore the documentaton support module generates a document for the generated program and the problem tself n the PSE. The module lason module generates an adapter module among the dstrbuted PSE modules. The job executon servce module deploys programs generated or prepared on dstrbuted computer resources and helps users run the programs on the dstrbuted computers. The concept of the dstrbuted PSE extends the potental of conventonal PSE systems. 1. Introducton Recently studes on Problem Solvng Envronment (PSE)[1-13] for partal dfferental equaton (PDE) based problems have been extensvely explored n order to support engneers, scentsts, students and so on to compute or smulate ther own problems on dstrbuted computers. Computer analyses and smulatons have been performed to desgn products, study scentfc ssues and more, and have been recognzed as the thrd method followng theoretcal and expermental methods. One of the major objectves n PSE researches s to help users compute or smulate ther problems wthout heavy tasks, for example, wthout complete knowledge[10, 11] for computatons or wthout a full programmng[1-1]. In ths sense the PSE provdes an nfrastructure for software for computatonal engneerng and scence. In PSE for PDEs, one of problems, whch should be solved, s to develop huge PSE systems, ncludng reusablty of legacy PSE softwares. In order to solve ths problem n PSE, a module-based PSE s proposed[14]; each PSE module solves a part of PSE tasks, for example, problem descrpton nterface, dscretzaton, scheme suggeston module, program flow desgner, program generator, data analyzer, vsualzer, and so on. If each module can be developed ndependently and works cooperatvely and smoothly to solve one PSE job, the heavy work of PSE development may be drastcally relaxed. On the other hand, n Hgh-Performance Computng (HPC) and smulatons n scence and technology, dstrbuted computer systems ncludng GRID systems [15, 16] are now popular and provde a flexble and costeffectve envronment. The dstrbuted computer system may be n a complex envronment of heterogeneous computer hardware and software. However, t s qute
2 dffcult for users to know the detal structure of the dstrbuted computer system they use. In a realstc and useful dstrbuted envronment users should be supported by assstant software [15], so that users can use the dstrbuted computer systems smoothly and effectvely wthout detal knowledge of the dstrbuted computer system tself. In ths paper a new dstrbuted PSE, called D-NCAS, s proposed n order to support users to generate a computer program and to work on dstrbuted computer systems. The PSE system nputs a problem nformaton ncludng dscretzaton and computaton schemes, and outputs a program flow, a C-language source code for the problem and also a document for the program and for the problem. On a host computer a user nputs hs/her problem, and the host navgates the user to solve the problem. The dstrbuted PSE for PDEs conssts of several modules: a problem descrpton module, a dscretzaton one, an equaton manpulaton one, a program desgn one, a program generaton one, documentaton support module, a module lason module and a job executon servce module. Each module s dstrbuted on dstrbuted computers, and all the nformaton s descrbed by the Extensble Markup Language (XML)[17] ncludng the Mathematcal Markup Language (MathML) [18]. Each dstrbuted module communcates wth the host module by usng XML documents, so that outputs from each module are vsualzed. Independent modules whch are developed by other engneers or users for one of the functons specfed above can be also used after adjustments to the dstrbuted PSE nterface, f necessary. Therefore the concept of the dstrbuted PSE extends the potental of conventonal PSE systems. The PSE contans all the nformaton of the problem tself, PDEs, dscretzaton scheme, mesh nformaton, equaton manpulaton results, desgned program structure, varable and constant defntons and program tself. Therefore the documentaton support module also generates a document for the generated program and the problem tself n the PSE. The module lason module generates an adapter module among the dstrbuted PSE modules. The adapter module generated by the module lason system nputs output data from precedng modules and/or external modules, and connects the data to the nput data for the next module. The job executon servce module deploys programs generated or prepared on dstrbuted computer resources and help users run the programs on the dstrbuted computers. The PSE tells users whch computers are avalable and approprate for ther specfc applcaton software by usng hardware and software nformaton specfed. Then the users deploy ther software on the dstrbuted computer systems. The PSE may open a new flexble hgh performance computng envronment.. Target Issues of PSE The present research target ssues of the PSE nclude the followngs: (1) Computer-asssted program generaton should be supported. () Smple and easy executon of users applcaton programs on dstrbuted computers. (3) Smple and easy deploy of users programs onto the dstrbuted computer envronment. Based on the PSE presented n ths paper, users may work smoothly on a dstrbuted computer system: users obtan smulaton programs generated by the PSE, also need not have precse nformaton about hardware locaton behnd the PSE, and execute ther software wthout dffcultes. The job executon servce module n the dstrbuted PSE holds all the nformaton about the dstrbuted computer system and manages all the nformaton relatng to hardware, software nstalled, job executon, network and the locaton of computaton results. 3. A Dstrbuted PSE In our dstrbuted PSE all the modules are dstrbuted on network-lnked computers. The nformaton for the dstrbuted modules and the computers are regstered n a host computer. Newly developed modules by some users or scentsts or so can be also regstered n the host PSE server. The dstrbuted PSE host server has the regstered nformaton for the modules orented to one specfc purpose, and users can obtan the nformaton for each module and can select one of the modules to perform one task n all the PSE process. The schematc dagram for the dstrbuted PSE s shown n Fg.1. At the begnnng of problem solvng process a user nputs hs/her problem nformaton and computaton scheme nformaton nto the host PSE server. All the nformaton s descrbed by XML, and s vsualzed to the user.
3 User Problem Descrpton XML Document Input Server A A1 A A3 : Server B B1 B B3 : Problem Descrpton & Computaton Scheme Informaton PSE Server Desgned Program Flow & C Program Server C C1 C C3 : Dtrbuted PSE Server Varable nformaton Dmenson n Space Varable nformaton Dscretzaton Scheme PDEs Varable Defnton Pont n Space & Tme Intal Condton Boundary Condton Dscretzaton Process Manpulate Process Basc Program Skeleton XML XML XML Vsualzed User Dscretzaton Manpulate Program Flow Fg. 1. Overvew of the dstrbuted PSE Problem Flow Descrpton XML Document XML Encodng User 1 Web Browser Java Applet WWW Server C-language Source Code for the Problem Output Servers User Web Browser Horb Fg. 3. Dstrbuted-PSE work flow Mod_Control1 Data_proxy Data_skeleton 1 Horb Server1 Mod_Control Data_proxy Data_skeleton Horb Server... Server_skeleton Dstrbuted PSE Server Data Base ServerObj3 ServerObj3 ServerObj3 Fg.. Structure of dstrbuted PSE Network The communcaton s accomplshed through an nterface usng WWW server and Applet. The PSE server sends an nformaton descrbed by XML to a module, and the module performs the task. The module sends the result based on the nput XML nformaton back to the PSE server. The result s vsualzed so that the user can check f the result s approprate. After successve processes, fnally the PSE generates a desgned program flow and then a C program. Fgure shows the network structure employed n the PSE. The program generaton PSE module provdes a workflow shown n Fg.3, and the user follows the workflow navgaton for a problem generaton. 4. Problem Solvng n Dstrbuted PSE 4.1 PSE modules for program generaton support In a problem descrpton XML document the followngs are specfed: dmenson n space, PDEs, constants, varables, varable defnton ponts n space and tme, ntal and boundary condtons, dscretzaton scheme, and space mesh defnton. Because all the nformaton s descrbed by XML, the nformaton s treated as tree-type nformaton. Fgure 4 shows a part of an example nput problem descrpton n XML, and the XML document s vsualzed to the user as shown n Fg.5. The PDEs and boundary condtons are also descrbed by the Math-ML (a subset of XML) as shown n Fg. 6. In the XML document for problem descrpton, a user nputs nformaton for dependent and ndependent varables, constant factors, n addton to the defnton n a space mesh and a tme mesh for varables. Based on the nformaton wth the mesh nformaton and the dscretzaton scheme nformaton, the PDEs are dscretzed and manpulated n order to obtan a matrx or a fnal form of each dscretzed PDEs. Frst we present example results of PDEs dscretzaton by fnte dfference method (FDM). The nput problem nformaton ncludes PDEs and a dscretzaton scheme specfed by a user. An FDM/FEM module transforms a PDEs XML document to another XML document for dscretzed PDEs, based on the nput nformaton. An Example dscretzaton s presented n the followngs: an example PDE for dffuson problem s Eq.1.
4 f T T + A + A = 0 (1) t x y When a user chooses the Euler explct scheme, the frst term s dscretzed as follows: <?xml verson="1.0" encodng="shift_jis"?> <?xml-stylesheet type="text/xsl" href="fdmxsl.xsl"?> <nformatonfdm> <header> <ttle>thermal Dffuson Problem</ttle> <dmenson></dmenson> </header> <mesh_condton> <tme> <factor>t</factor> <tme_type>unform</tme_type> <tmes sec="100"/> <tmestep sec="0.01"/> </tme> <space> <space_type>unform</space_type> <_coordnate mn="0" max="0" step="0.1"> x</_coordnate> <j_coordnate jmn="0" jmax="10" jstep="0.1"> Fg. 4. An example problem descrpton XML document f t = f n+1 f dt n where the superscrpt of 'n' s a tme ndex, the subscrpt of '' s space ndex and 'dt' shows the tme-step sze. The second and the thrd terms are dscretzed as shown n Eq. 3, dependng on the user s specfcaton. In ths case the central dfference scheme s employed. n n n T T + 1 T + T 1 = (3) x dx where 'dx' s the mesh sze. Fgure 6 shows a problem nformaton descrbed by an XML document for ths example. The followng example shows an advecton equaton, where the advecton term s dscretzed by the Upwnd dfference scheme. f f + u = 0 (4) t x where 'u' s a velocty of a convectve materal, for example, flud. In ths case the second term n Eq.4 may be transformed to Eq.5 f u u f f u u f f u n n n n + n n n n 1 = (5) x dx dx Fgure 7(a) shows the varable defnton ponts of 'f ' and 'T ' n Eq. 1 on a mesh. Fgure 7(b) shows an vsualzaton example for Eq.1 usng the XML document. The XML and Math-ML documents are vsualzed n a web browser by usng the software "techexplorer"[19]. The dscretzaton result s also shown n Fgure 7(c). () Fg. 5. Vsualzaton of an XML Problem Informaton usng an XSL Style Sheet <?xml verson="1.0"?> <reln dmenson=""> <eq/> <apply> <plus/> <apply solvatype="forwarddfference"> <plus/> <apply> <partaldff/> <bvar> <c attachment="n" defnetype="ndependence" relaton="tme" unform="true">t</c> </bvar> <fn> <c defnetype="dependence" defnton="0" relatve="0" jdefnton="0" jrelatve="0">f</c> </fn> </apply> </apply> <apply solvatype="centraldfference"> <plus/> <apply> <tmes/> Dscretzaton Scheme Varable Informaton Dscretzaton Scheme Fg. 6. A Problem Informaton for FDM n XML The PSE problem nput module sends an nput nformaton descrbed n XML to the FDM/FEM module, and the module performs the dscretzaton and equaton manpulaton tasks. Then the FDM/FEM module sends the result wrtten n the XML document back to the PSE host. The program-generaton PSE modules also help users generate MPI-based parallel smulaton programs based on partal-dfferental equatons (PDEs). The D-NCAS capablty explores possbltes to vsualze and steer the parallel program desgn process. At present D-NCAS supports a doman decomposton n a desgn of a parallel numercal smulaton program, and the doman decomposton s desgned or steered by users through a vsualzaton wndow. After desgnng the doman decomposton, the parallel program tself s also desgned
5 and generated n NCAS, and the desgned parallel program s vsualzed and steered by a PAD dagram. Man functon n a parallel program j y f T (a) x (b) Solver for Temperature Solver for Temperature (c) Fg. 7. a) Varable defnton postons n one mesh, b) a vsualzed example basc equaton and c) a dscretzaton result. Fg. 8. Example vsualzaton of a man part of a desgned parallel program by usng a PAD dagram n the parallel program generaton component n the PSE toolkt. In D-NCAS, MPI functons are employed for message passng, and a SPMD (sngle program multple data) model s supported. The vsualzaton and steerng capabltes provde users a flexble desgn possblty of parallel programmng The parallel program generaton module of D-NCAS nputs PDEs, boundary and ntal condtons, parallel program nformaton for a doman decomposton, CPU number employed, and mesh nformaton. All the processes are vsualzed and steered n order to meet the user s requrement. Fgure 8 shows an example of the vsualzaton for a generated program by a PAD dagram. Dscretzaton Scheme Term Frst term of LHS Second term of LHS Thrd term of LHS Frst term of RHS Second term of RHS Scheme Fg. 9. Example of a document generated by the parallel program generaton component n the PSE server. Ths module contans the nput nformaton of abstract problem nput nformaton, for example, PDEs, problem area, varables, etc. Therefore the document s also generated wth the MPI-based parallel program from the hgher level nformaton. At the same tme the program generaton module also generates a document for the generated program as shown n Fg. 9, because the D-NCAS component keeps all the the nformaton from the abstract problem descrpton, equatons and so on as descrbed above. 4. Lason for a dstrbuted PSE In our dstrbuted PSE (D-NCAS) all functons from an nput problem descrpton to a C program generaton and a document generaton are dvded nto separate functons. They are assgned to specfc modules dstrbuted on network-lnked computers. The
6 nformaton for the dstrbuted modules and the computers s regstered n a host computer, that s, a module regster PSE server. New modules developed by users can also be regstered n the host module regster PSE server. Users nput ther problem nformaton nto the PSE server through the PSE WEB server. The PSE server sends the nformaton descrbed n XML to the next module, and the module performs the task. The module sends the result based on the nput XML nformaton back to the PSE server. After successve processes, fnally the PSE server gets a desgned program flow and then a C program. Fgure 10 shows the structure of the module lason module. Each module of the dstrbuted module-based PSE may be developed by dfferent users. Although ths feature makes the PSE flexble and expandable as dscussed n Introducton, the nput/output data type and order may be dfferent from those of other modules. If they do not ft to those for other modules, the problem solvng process can not be accomplshed. Our module lason system provdes the data adapter to convert the nput/output data to the data ftted to those for the next module. As long as the nput/output data are descrbed by XML and ther nformaton ncludng the data type and the data order are known, the module lason system produces a data adapter to connect the modules n the dstrbuted PSE. In order to know the nput/output data nformaton, n ths paper we assume that each module has an example set of the nput/output data nformaton descrbed by XML, besdes a complete document for the data nput/output. Wthout the full nformaton of the nput/output data one can not use the module n a problem solvng process. Therefore ths assumpton s reasonable. Fgure 11 shows the nterface of the module regster PSE server. The module regster PSE server contans the module nformaton, ncludng the nput/output data nformaton, the locaton of the document and the module locaton URL (Unform Resource Locator), and t also has the nformaton of user-desgned workflows to solve a problem. Through the WEB page shown n Fg.11 users fnd the avalable module lst. The users connect the selected modules, and desgn the workflow for ther problem solvng tasks. At the module regstraton phase, the module nformaton of the module class name, ts method name and arguments are regstered together wth the data nput/output nformaton, the module locaton, etc. The module nformaton s descrbed by WSDL (web servce descrpton language). When the module s regstered to the module regster PSE server and s deployed on dstrbuted computers, the WSDD (web servce deployment descrptor) fle s also used as a usual web servce. Data Input module SOAP ADAPTER HTTP SOAP Regster PSE Server Dscretzaton Generaton HTTP SOAP Equaton Manpulaton SOAP Lason System WEB Browser C-Program Desgn & Generaton User Fg. 10. A module lason system Fg. 11. Interface of the module regster PSE server In a dstrbuted PSE a new module may be added or a legacy module may be updated by ndvdual users/developers. If the module lason system helps users connect the modules and provdes adaptors among the modules based on the nput/output data nformaton of the modules, the module lason system elevates the module-based dstrbuted PSE capablty further. Fgure 1 shows a concept of the data adapter module, generated by the module lason system. The precedng modules output data and the next module may nput the data together wth an external data n general. Each module has the nput/output data nformaton ncludng example nput/output data XML fles and a document for the data.
7 Legacy Legacy modules or New External Data Output Data Adaptor Data Converson Input Data 4.3 Job executon servce module PSE Next or New Fg. 1. Adapter generated by the module lason system. The adapter converts the output data from precedng modules and may combne the external data to produce the nput data to the next module. The scentfc computng tends to requre hgh performance computers, whch may be dstrbuted locally or globally. At present network lnked dstrbuted computer systems ncludng Grd systems are wdely avalable for researchers and engneers. However, t s dffcult for researchers to obtan detal nformaton on dstrbuted hardware and software resources, whch may be a large system, conssted of many computers. When the users work on the dstrbuted resources, the users need to fnd computng resources, data analyss servers and data storage servers. The job executon management ncludng these functons s essentally mportant for scentfc computng on the dstrbuted resources. The job executon servce module does not need any specal Grd mddleware to construct t, and the clent can use ths system by accessng the Web page for the job executon servce system. The job executon servce module conssts of dynamc system management servers, executon servers and data servers. The dynamc system management server s duplcated n order to keep the system robust, and has an assstant management server. The dynamc system management server has a functon of the job executon system management, ncludng software deployment, program complaton, job executon, job status retreval and computng data retreval. Ths system does not requre specal mddleware such as Globus or UNICORE or GLte or etc. Users access the web page on the dynamc system management server, and the clents submt jobs. After the submtted job fnshes, the dynamc system management server collects the nformaton from other dstrbuted computers. The dynamc management server and ts assstant server move dynamcally to new servers, f the present servers become busy. The dynamc system management server also demands the executon server to transfer the result data to the optmal data server. The dynamc system management server copes the computng data and sends the compressed computng data to another optmal data server n order for a robust data storage system. The clents can deploy ther programs, execute jobs and retreve the result data by accessng only the web page n the dynamc system management server. Ths job executon management server also has a functon of automatc system constructon, so that the users can manage the setup of the job executon management system easly on ther closed dstrbuted computers. Dynamc assstant server Dynamc system management server Web browser Clent 5. Conclusons In ths paper we presented the dstrbuted PSE of D- NCAS to help users work on dstrbuted computers. The role and vablty of the PSE n the dstrbuted computer system are demonstrated. The PSE server provdes a smooth and flexble envronment n the HPC on the dstrbuted computers. The dstrbuted PSE supports generaton of smulaton program and ts documentaton for PDEs-based problems, and also supports the job executon task on a dstrbuted computer envronment. The job executon servce module n the dstrbuted PSE encapsulates the complex nformaton of dstrbuted system so that on the PSE users can perform HPC as f dstrbuted computers are under users hand. The dstrbuted PSE may open a new envronment for HPC world. Acknowledgements Ths work was partly supported by the NAREGI (Natonal Research Grd ntatve) project n Japan. The authors would lke to express ther apprecatons to Prof. K. Mura ( the leader of the NAREGI project ), Dr. Motohro Yamada, Dr. Yutaka Myahara, Prof. yosho Tago, Prof. Yuko Umetan and Dr. Hroyuk Kanazawa for ther frutful dscussons on ths subject. References Synchronzaton SSL MPI executon server Job executon and data servers Job executon servce system Job submsson, Acquston of result data etc. Fg. 13. Structure of the job executon servce system
8 [1] C.Boonmee and S.Kawata, Computer-Asssted Smulaton Envronment for Partal-Dfferental-Equaton Problem, 1. Data Structure and Steerng of Problem Solvng Process, Trans. of the Japan Socety for Computatonal Engneerng and Scence, Paper No , [] C.Boonmee and S.Kawata, Computer-Asssted Smulaton Envronment for Partal-Dfferental-Equaton Problem:. Vsualzaton and Steerng of Problem Solvng Process, Trans of the Japan Socety for Computatonal Engneerng and Scence, Paper No , 1998 [3] S.Kawata, C.Boonmee, A.Fujta, T.Nakamura, T.Teramoto, Y.Hayase, Y.Manabe, Y.Tago and M.Matsumoto, Vsual Steerng of the Smulaton Process n a Scentfc Numercal Smulaton Envronment NCAS- ", Enablng Technologes for Computatonal Scence, edted by E.Housts and J.Rce, Kluwer Academc Pub., 000, pp [4] E.Gallopoulos, E.Housts, and J.R.Rce, Future Research Drectons n Problem Solvng Envronments for Computatonal Scence, Techncal Report CSRD Report No.159, Report of a workshop on Research Drecton n Integratng Numercal Analyss, Symbolc Computer, Computatonal Geometry, and Artfcal Intellgence for Computatonal Scence, Washngton DC., Aprl 11-1, [5] Y.Umetan, "DEQSOL A numercal Smulaton Language for Vector/Parallel Processors", Proc. IFIP TC/WG, 5, 1985, pp [6] Y.Hrayama, J.Ishda, T.Ota, M.Iga, S.Kubo, S.Yamaga, "Physcal Smulaton usng Numercal Smulaton Tool PSILAB", The 1st Problem Solvng Envronment Workshop, pp. 1-7, [1] A.Fujta, T.Teramoto, T.Nakamura, C.Boonmee, S.Kawata, "Computer-Asssted Parallel Program Generaton System P- NCAS from Mathematcal Model-Vsualzaton and Steerng of Parallel Program Generaton Process-", Trans of the Japan Socety for Computatonal Engneerng and Scence, Paper No , 000. [13] K.Hosh, "Development of A Problem Solvng Envronment for Scence and Engneerng", The 1st Problem Solvng Envronment Workshop, 1998, pp [14] S.Kawata, A.Fujta, S.Machde, T.Hrama, K.Yoshmoto, "Computer-Asssted Smulaton System NCAS and a Future PSE", Proc. the nd Problem Solvng Envronment (PSE) Workshop, 1999, pp.89-94, [15]Global Grd Forum. [16] T. Teramoto, T. Nakamura, S. Kawata, S. Matde, K. Hayasaka, H. Nonaka, E. Sasak and Y. Sanada, A Dstrbuted Problem Solvng Envronment (PSE) for Partal Dfferental Equaton Based Problems, Trans. Jpn. Soc. Comp. Sc. Eng., Paper No , 001. Avalable: [17]W3C Extensble Markup Language. [18]W3C Math Home. [19]techexplorer, "IBM techexplorer Hypermeda Browser", [7] J.R.Rce and R.F.Bosvert, "Sprnger Seres n Computatonal Mathematcs ", Solvng Ellptc Problems Usng ELLPACK, Sprnger-Verlag, New York, [8] H.Fujo and S.Do, "Fnte Element Descrpton System,as a Md-Layer of PSE", Proceedngs of Conference on Computaton Engneerng and Scence, Vol.3, No., 1998, pp [9] T.Okoch, C.Konno, and M.Iga, "Hgh Level Numercal Smulaton Language DEQSOL for Parallel Computers", Trans. of Informaton Processng Socety of Japan, Vol.35, No.6, 1994, pp [10] E.N.Housts, and J.R.Rce, "Parallel ELLPACK, a development envronment and problem solvng envronmentfor hgh performance computng machenes", edted by In P.Gaffney and E.N.Housts, Programmng Envronments for Hhg-Level Scentfc Problem Solvng, North-Holland, Amsterdam, 199, pp [11] M.Kubota, T.Kawa, "Automatc Dstrbuted System Smulator Usng Nature s Algorthm on Hghly Parallel Computers", Int. Conf. On Supercomputng n Nuclear Applcatons, Mto, March 1990.
Optimal Planning of Charging Station for Phased Electric Vehicle *
Energy and Power Engneerng, 2013, 5, 1393-1397 do:10.4236/epe.2013.54b264 Publshed Onlne July 2013 (http://www.scrp.org/ournal/epe) Optmal Plannng of Chargng Staton for Phased Electrc Vehcle * Yang Gao,
More informationUsing the Perpendicular Distance to the Nearest Fracture as a Proxy for Conventional Fracture Spacing Measures
Usng the Perpendcular Dstance to the Nearest Fracture as a Proxy for Conventonal Fracture Spacng Measures Erc B. Nven and Clayton V. Deutsch Dscrete fracture network smulaton ams to reproduce dstrbutons
More information310 Int'l Conf. Par. and Dist. Proc. Tech. and Appl. PDPTA'16
310 Int'l Conf. Par. and Dst. Proc. Tech. and Appl. PDPTA'16 Akra Sasatan and Hrosh Ish Graduate School of Informaton and Telecommuncaton Engneerng, Toka Unversty, Mnato, Tokyo, Japan Abstract The end-to-end
More informationUsing Past Queries for Resource Selection in Distributed Information Retrieval
Purdue Unversty Purdue e-pubs Department of Computer Scence Techncal Reports Department of Computer Scence 2011 Usng Past Queres for Resource Selecton n Dstrbuted Informaton Retreval Sulleyman Cetntas
More informationPrediction of Total Pressure Drop in Stenotic Coronary Arteries with Their Geometric Parameters
Tenth Internatonal Conference on Computatonal Flud Dynamcs (ICCFD10), Barcelona, Span, July 9-13, 2018 ICCFD10-227 Predcton of Total Pressure Drop n Stenotc Coronary Arteres wth Ther Geometrc Parameters
More informationProject title: Mathematical Models of Fish Populations in Marine Reserves
Applcaton for Fundng (Malaspna Research Fund) Date: November 0, 2005 Project ttle: Mathematcal Models of Fsh Populatons n Marne Reserves Dr. Lev V. Idels Unversty College Professor Mathematcs Department
More informationCopy Number Variation Methods and Data
Copy Number Varaton Methods and Data Copy number varaton (CNV) Reference Sequence ACCTGCAATGAT TAAGCCCGGG TTGCAACGTTAGGCA Populaton ACCTGCAATGAT TAAGCCCGGG TTGCAACGTTAGGCA ACCTGCAATGAT TTGCAACGTTAGGCA
More informationStudy and Comparison of Various Techniques of Image Edge Detection
Gureet Sngh et al Int. Journal of Engneerng Research Applcatons RESEARCH ARTICLE OPEN ACCESS Study Comparson of Varous Technques of Image Edge Detecton Gureet Sngh*, Er. Harnder sngh** *(Department of
More informationPhysical Model for the Evolution of the Genetic Code
Physcal Model for the Evoluton of the Genetc Code Tatsuro Yamashta Osamu Narkyo Department of Physcs, Kyushu Unversty, Fukuoka 8-856, Japan Abstract We propose a physcal model to descrbe the mechansms
More informationDesign of PSO Based Robust Blood Glucose Control in Diabetic Patients
Control n Dabetc Patents Assst. Prof. Dr. Control and Systems Engneerng Department, Unversty of Technology, Baghdad-Iraq hazem..al@uotechnology.edu.q Receved: /6/3 Accepted: //3 Abstract In ths paper,
More informationInvestigation of zinc oxide thin film by spectroscopic ellipsometry
VNU Journal of Scence, Mathematcs - Physcs 24 (2008) 16-23 Investgaton of znc oxde thn flm by spectroscopc ellpsometry Nguyen Nang Dnh 1, Tran Quang Trung 2, Le Khac Bnh 2, Nguyen Dang Khoa 2, Vo Th Ma
More informationEVALUATION OF BULK MODULUS AND RING DIAMETER OF SOME TELLURITE GLASS SYSTEMS
Chalcogende Letters Vol. 12, No. 2, February 2015, p. 67-74 EVALUATION OF BULK MODULUS AND RING DIAMETER OF SOME TELLURITE GLASS SYSTEMS R. EL-MALLAWANY a*, M.S. GAAFAR b, N. VEERAIAH c a Physcs Dept.,
More informationBalanced Query Methods for Improving OCR-Based Retrieval
Balanced Query Methods for Improvng OCR-Based Retreval Kareem Darwsh Electrcal and Computer Engneerng Dept. Unversty of Maryland, College Park College Park, MD 20742 kareem@glue.umd.edu Douglas W. Oard
More informationParameter Estimates of a Random Regression Test Day Model for First Three Lactation Somatic Cell Scores
Parameter Estmates of a Random Regresson Test Day Model for Frst Three actaton Somatc Cell Scores Z. u, F. Renhardt and R. Reents Unted Datasystems for Anmal Producton (VIT), Hedeweg 1, D-27280 Verden,
More informationGene Selection Based on Mutual Information for the Classification of Multi-class Cancer
Gene Selecton Based on Mutual Informaton for the Classfcaton of Mult-class Cancer Sheng-Bo Guo,, Mchael R. Lyu 3, and Tat-Mng Lok 4 Department of Automaton, Unversty of Scence and Technology of Chna, Hefe,
More informationChapter 20. Aggregation and calibration. Betina Dimaranan, Thomas Hertel, Robert McDougall
Chapter 20 Aggregaton and calbraton Betna Dmaranan, Thomas Hertel, Robert McDougall In the prevous chapter we dscussed how the fnal verson 3 GTAP data base was assembled. Ths data base s extremely large.
More information*VALLIAPPAN Raman 1, PUTRA Sumari 2 and MANDAVA Rajeswari 3. George town, Penang 11800, Malaysia. George town, Penang 11800, Malaysia
38 A Theoretcal Methodology and Prototype Implementaton for Detecton Segmentaton Classfcaton of Dgtal Mammogram Tumor by Machne Learnng and Problem Solvng *VALLIAPPA Raman, PUTRA Sumar 2 and MADAVA Rajeswar
More informationLymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma Cancer Classfcaton Usng Genetc Programmng wth SNR Features Jn-Hyuk Hong and Sung-Bae Cho Dept. of Computer Scence, Yonse Unversty, 134 Shnchon-dong, Sudaemoon-ku, Seoul 120-749, Korea hjnh@candy.yonse.ac.kr,
More informationNHS Outcomes Framework
NHS Outcomes Framework Doman 1 Preventng people from dyng prematurely Indcator Specfcatons Verson: 1.21 Date: May 2018 Author: Clncal Indcators Team NHS Outcomes Framework: Doman 1 Preventng people from
More informationMathematical model of fish schooling behaviour in a set-net
ICES Journal of Marne Scence, 61: 114e13 (004) do:10.1016/j.cesjms.004.07.009 Mathematcal model of fsh schoolng behavour n a set-net Tsutomu Takag, Yutaka Mortom, Jyun Iwata, Hrosh Nakamne, and Nobuo Sannomya
More informationAn Approach to Discover Dependencies between Service Operations*
36 JOURNAL OF SOFTWARE VOL. 3 NO. 9 DECEMBER 2008 An Approach to Dscover Dependences between Servce Operatons* Shuyng Yan Research Center for Grd and Servce Computng Insttute of Computng Technology Chnese
More informationMachine Understanding - a new area of research aimed at building thinking/understanding machines
achne Understandng - a new area of research amed at buldng thnkng/understandng machnes Zbgnew Les and agdalena Les St. Queen Jadwga Research Insttute of Understandng, elbourne, Australa sqru@outlook.com
More informationPrice linkages in value chains: methodology
Prce lnkages n value chans: methodology Prof. Trond Bjorndal, CEMARE. Unversty of Portsmouth, UK. and Prof. José Fernández-Polanco Unversty of Cantabra, Span. FAO INFOSAMAK Tangers, Morocco 14 March 2012
More informationSurvival Rate of Patients of Ovarian Cancer: Rough Set Approach
Internatonal OEN ACCESS Journal Of Modern Engneerng esearch (IJME) Survval ate of atents of Ovaran Cancer: ough Set Approach Kamn Agrawal 1, ragat Jan 1 Department of Appled Mathematcs, IET, Indore, Inda
More informationA New Machine Learning Algorithm for Breast and Pectoral Muscle Segmentation
Avalable onlne www.ejaet.com European Journal of Advances n Engneerng and Technology, 2015, 2(1): 21-29 Research Artcle ISSN: 2394-658X A New Machne Learnng Algorthm for Breast and Pectoral Muscle Segmentaton
More informationInternational Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS)
Internatonal Assocaton of Scentfc Innovaton and Research (IASIR (An Assocaton Unfyng the Scences, Engneerng, and Appled Research Internatonal Journal of Emergng Technologes n Computatonal and Appled Scences
More informationEvaluation of Literature-based Discovery Systems
Evaluaton of Lterature-based Dscovery Systems Melha Yetsgen-Yldz 1 and Wanda Pratt 1,2 1 The Informaton School, Unversty of Washngton, Seattle, USA. 2 Bomedcal and Health Informatcs, School of Medcne,
More informationEstimation of System Models by Swarm Intelligent Method
Sensors & Transducers 04 by IA Publshng, S. L. http://www.sensorsportal.com Estmaton of System Models by Swarm Intellgent Method,* Xaopng XU, Ququ ZHU, Feng WANG, Fuca QIAN, Fang DAI School of Scences,
More informationISOBARIC VAPOR-LIQUID EQUILIBRIUM FOR THE BINARY MIXTURE OF ETHANOL (1) + 1-HEXANOL (2) AT 100 kpa
ISOBARIC VAPOR-LIQUID EQUILIBRIUM FOR THE BINARY MIXTURE OF ETHANOL (1) + 1-HEXANOL (2) AT 100 Pa Dhon Hartanto 1), Asall Mustan 2), Bayu Trwbowo 1), Aula Septan Muta 1) 1) Department of Chemcal Engneerng,
More informationAppendix for. Institutions and Behavior: Experimental Evidence on the Effects of Democracy
Appendx for Insttutons and Behavor: Expermental Evdence on the Effects of Democrac 1. Instructons 1.1 Orgnal sessons Welcome You are about to partcpate n a stud on decson-makng, and ou wll be pad for our
More informationThe Influence of the Isomerization Reactions on the Soybean Oil Hydrogenation Process
Unversty of Belgrade From the SelectedWorks of Zeljko D Cupc 2000 The Influence of the Isomerzaton Reactons on the Soybean Ol Hydrogenaton Process Zeljko D Cupc, Insttute of Chemstry, Technology and Metallurgy
More informationAUTOMATED CHARACTERIZATION OF ESOPHAGEAL AND SEVERELY INJURED VOICES BY MEANS OF ACOUSTIC PARAMETERS
AUTOMATED CHARACTERIZATIO OF ESOPHAGEAL AD SEVERELY IJURED VOICES BY MEAS OF ACOUSTIC PARAMETERS B. García, I. Ruz, A. Méndez, J. Vcente, and M. Mendezona Department of Telecommuncaton, Unversty of Deusto
More informationProceedings of the 6th WSEAS Int. Conf. on EVOLUTIONARY COMPUTING, Lisbon, Portugal, June 16-18, 2005 (pp )
Proceedngs of the 6th WSEAS Int. Conf. on EVOLUTIONARY COMPUTING, Lsbon, Portugal, June 6-8, 2005 (pp285-20) Novel Intellgent Edge Detector for Sonographcal Images Al Rafee *, Mohammad Hasan Morad **,
More informationTowards Automated Pose Invariant 3D Dental Biometrics
Towards Automated Pose Invarant 3D Dental Bometrcs Xn ZHONG 1, Depng YU 1, Kelvn W C FOONG, Terence SIM 3, Yoke San WONG 1 and Ho-lun CHENG 3 1. Mechancal Engneerng, Natonal Unversty of Sngapore, 117576,
More informationSubject-Adaptive Real-Time Sleep Stage Classification Based on Conditional Random Field
Subject-Adaptve Real-Tme Sleep Stage Classfcaton Based on Condtonal Random Feld Gang Luo, PhD, Wanl Mn, PhD IBM TJ Watson Research Center, Hawthorne, NY {luog, wanlmn}@usbmcom Abstract Sleep stagng s the
More informationA Linear Regression Model to Detect User Emotion for Touch Input Interactive Systems
2015 Internatonal Conference on Affectve Computng and Intellgent Interacton (ACII) A Lnear Regresson Model to Detect User Emoton for Touch Input Interactve Systems Samt Bhattacharya Dept of Computer Scence
More information4.2 Scheduling to Minimize Maximum Lateness
4. Schedulng to Mnmze Maxmum Lateness Schedulng to Mnmzng Maxmum Lateness Mnmzng lateness problem. Sngle resource processes one ob at a tme. Job requres t unts of processng tme and s due at tme d. If starts
More informationA Novel artifact for evaluating accuracies of gear profile and pitch measurements of gear measuring instruments
A Novel artfact for evaluatng accuraces of gear profle and ptch measurements of gear measurng nstruments Sonko Osawa, Osamu Sato, Yohan Kondo, Toshyuk Takatsuj (NMIJ/AIST) Masaharu Komor (Kyoto Unversty)
More informationInstallation/Mounting Instructions
Installaton/Mountng Instructons Energy profle wth four empty unts, heght: 1400 mm 1354 26/27/28 Energy profle wth lghtng element and three empty unts, heght: 1600 mm 1353 26/27/28 Energy profle wth sx
More informationENRICHING PROCESS OF ICE-CREAM RECOMMENDATION USING COMBINATORIAL RANKING OF AHP AND MONTE CARLO AHP
ENRICHING PROCESS OF ICE-CREAM RECOMMENDATION USING COMBINATORIAL RANKING OF AHP AND MONTE CARLO AHP 1 AKASH RAMESHWAR LADDHA, 2 RAHUL RAGHVENDRA JOSHI, 3 Dr.PEETI MULAY 1 M.Tech, Department of Computer
More informationEstimation for Pavement Performance Curve based on Kyoto Model : A Case Study for Highway in the State of Sao Paulo
Estmaton for Pavement Performance Curve based on Kyoto Model : A Case Study for Kazuya AOKI, PASCO CORPORATION, Yokohama, JAPAN, Emal : kakzo603@pasco.co.jp Octávo de Souza Campos, Publc Servces Regulatory
More informationA Geometric Approach To Fully Automatic Chromosome Segmentation
A Geometrc Approach To Fully Automatc Chromosome Segmentaton Shervn Mnaee ECE Department New York Unversty Brooklyn, New York, USA shervn.mnaee@nyu.edu Mehran Fotouh Computer Engneerng Department Sharf
More informationComputing and Using Reputations for Internet Ratings
Computng and Usng Reputatons for Internet Ratngs Mao Chen Department of Computer Scence Prnceton Unversty Prnceton, J 8 (69)-8-797 maoch@cs.prnceton.edu Jaswnder Pal Sngh Department of Computer Scence
More informationThe Limits of Individual Identification from Sample Allele Frequencies: Theory and Statistical Analysis
The Lmts of Indvdual Identfcaton from Sample Allele Frequences: Theory and Statstcal Analyss Peter M. Vsscher 1 *, Wllam G. Hll 2 1 Queensland Insttute of Medcal Research, Brsbane, Australa, 2 Insttute
More informationFast Algorithm for Vectorcardiogram and Interbeat Intervals Analysis: Application for Premature Ventricular Contractions Classification
Fast Algorthm for Vectorcardogram and Interbeat Intervals Analyss: Applcaton for Premature Ventrcular Contractons Classfcaton Irena Jekova, Vessela Krasteva Centre of Bomedcal Engneerng Prof. Ivan Daskalov
More informationNUMERICAL COMPARISONS OF BIOASSAY METHODS IN ESTIMATING LC50 TIANHONG ZHOU
NUMERICAL COMPARISONS OF BIOASSAY METHODS IN ESTIMATING LC50 by TIANHONG ZHOU B.S., Chna Agrcultural Unversty, 2003 M.S., Chna Agrcultural Unversty, 2006 A THESIS submtted n partal fulfllment of the requrements
More informationAnalysis of Restricted Queueing Networks - A Blocking Approach
Journal of tatstcal cence and Applcaton, Octber 06, Vol., No. 09-0, 0-0 do: 0.765/8-X/06.090.00 D DAV I D PUBIHING Analyss of Restrcted Queueng Networks - A Blockng Approach M.. reekala and M. Manoharan
More informationThis article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and
Ths artcle appeared n a journal publshed by Elsever. The attached copy s furnshed to the author for nternal non-commercal research and educaton use, ncludng for nstructon at the authors nsttuton and sharng
More informationEXAMINATION OF THE DENSITY OF SEMEN AND ANALYSIS OF SPERM CELL MOVEMENT. 1. INTRODUCTION
JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol.3/00, ISSN 64-6037 Łukasz WITKOWSKI * mage enhancement, mage analyss, semen, sperm cell, cell moblty EXAMINATION OF THE DENSITY OF SEMEN AND ANALYSIS OF
More informationCONSTRUCTION OF STOCHASTIC MODEL FOR TIME TO DENGUE VIRUS TRANSMISSION WITH EXPONENTIAL DISTRIBUTION
Internatonal Journal of Pure and Appled Mathematcal Scences. ISSN 97-988 Volume, Number (7), pp. 3- Research Inda Publcatons http://www.rpublcaton.com ONSTRUTION OF STOHASTI MODEL FOR TIME TO DENGUE VIRUS
More informationBiomarker Selection from Gene Expression Data for Tumour Categorization Using Bat Algorithm
Receved: March 20, 2017 401 Bomarker Selecton from Gene Expresson Data for Tumour Categorzaton Usng Bat Algorthm Gunavath Chellamuthu 1 *, Premalatha Kandasamy 2, Svasubramanan Kanagaraj 3 1 School of
More informationA REVIEW OF ARTIFICIAL FISH SWARM OPTIMIZATION METHODS AND APPLICATIONS
INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, VOL. 5, NO. 1, MARCH 2012 A REVIEW OF ARTIFICIAL FISH SWARM OPTIMIZATION METHODS AND APPLICATIONS 1 Mehd Neshat, 2 Al Adel, 3 Ghodrat Sepdnam,
More informationFAST DETECTION OF MASSES IN MAMMOGRAMS WITH DIFFICULT CASE EXCLUSION
computng@tanet.edu.te.ua www.tanet.edu.te.ua/computng ISSN 727-6209 Internatonal Scentfc Journal of Computng FAST DETECTION OF MASSES IN MAMMOGRAMS WITH DIFFICULT CASE EXCLUSION Gábor Takács ), Béla Patak
More informationPilot's Situational Awareness and Methods of its Assessment
Indan Journal of Scence and Technology, Vol 9(46), DOI: 10.17485/jst/2016/v946/107534, December 2016 ISSN (Prnt) : 0974-6846 ISSN (Onlne) : 0974-5645 Plot's Stuatonal Awareness and Methods of ts Assessment
More informationA MIXTURE OF EXPERTS FOR CATARACT DIAGNOSIS IN HOSPITAL SCREENING DATA
Journal of Theoretcal and Appled Informaton Technology 2005 ongong JATIT & LLS ISSN: 1992-8645 www.jatt.org E-ISSN: 1817-3195 A MIXTURE OF EXPERTS FOR CATARACT DIAGNOSIS IN HOSPITAL SCREENING DATA 1 SUNGMIN
More informationA Heuristic Method of the Optimal Matching for the Two Unstructured Systems
Proceedngs of the 0th WSEAS Internatonal Conference on SYSTEMS, Voulagmen, Athens, Greece, July 0-2, 2006 (pp324-329) A Heurstc Method of the Optmal Matchng for the Two Unstructured Systems Huay Chang
More informationModeling Multi Layer Feed-forward Neural. Network Model on the Influence of Hypertension. and Diabetes Mellitus on Family History of
Appled Mathematcal Scences, Vol. 7, 2013, no. 41, 2047-2053 HIKARI Ltd, www.m-hkar.com Modelng Mult Layer Feed-forward Neural Network Model on the Influence of Hypertenson and Dabetes Melltus on Famly
More informationInverted-U and Inverted-J Effects in Self-Referenced Decisions
Inverted-U and Inverted-J Effects n Self-Referenced Decsons Kenpe SHIINA (shnaatwaseda.jp) Department of Educatonal Psychology, Waseda Unversty, Tokyo, Japan Abstract Ratng one s own personalty trats s
More informationReconstruction of gene regulatory network of colon cancer using information theoretic approach
Reconstructon of gene regulatory network of colon cancer usng nformaton theoretc approach Khald Raza #1, Rafat Parveen * # Department of Computer Scence Jama Mlla Islama (Central Unverst, New Delh-11005,
More informationME Abstract. Keywords: multidimensional reliability, instrument of students satisfaction as an internal costumer, confirmatory factor analysis
Proceedng of Internatonal Conference On Research, Implementaton And Educaton Of Mathematcs And Scences 014, Yogyakarta State Unversty, 18-0 May 014 MULTIDIMENSIONAL RELIABILITY ESTIMATION IN INSTRUMENT
More informationPattern Recognition for Robotic Fish Swimming Gaits Based on Artificial Lateral Line System and Subtractive Clustering Algorithms
Sensors & Transducers, Vol. 18, Issue 11, November 14, pp. 7-16 Sensors & Transducers 14 by IFSA Publshng, S. L. http://www.sensorsportal.com Pattern Recognton for Robotc Fsh Swmmng Gats Based on Artfcal
More informationVALIDATION TOOL THE SETTING OF THE COMMUNITY PHARMACY
#VT01-1 VALIDATION TOOL THE SETTING OF THE COMMUNITY PHARMACY The pharmacy settng can alter the qualty of patent care and may nfluence patent satsfacton. An approprate settng may ncrease the probablty
More informationJoint Modelling Approaches in diabetes research. Francisco Gude Clinical Epidemiology Unit, Hospital Clínico Universitario de Santiago
Jont Modellng Approaches n dabetes research Clncal Epdemology Unt, Hosptal Clínco Unverstaro de Santago Outlne 1 Dabetes 2 Our research 3 Some applcatons Dabetes melltus Is a serous lfe-long health condton
More informationImportance of Atrial Compliance in Cardiac Performance
Importance of Atral Complance n Cardac Performance By Hroyuk Suga ABSTRACT Effects of changes n atral complance on cardac performance were analyzed usng a crculatory analog model. The atrum was assumed
More informationNonlinear Modeling Method Based on RBF Neural Network Trained by AFSA with Adaptive Adjustment
Advances n Engneerng Research (AER), volue 48 3rd Workshop on Advanced Research and Technology n Industry Applcatons (WARTIA 27) Nonlnear Modelng Method Based on RBF Neural Network Traned by AFSA wth Adaptve
More informationSPEECH TO FACIAL ANIMATION CONVERSION FOR DEAF CUSTOMERS
SPEECH TO FACIAL ANIMATION CONVERSION FOR DEAF CUSTOMERS György Takács, Attla Thany, Tamás Bárd, Gergely Feldhoffer, Bálnt Srancsk Faculty of Informaton Technology, Péter Pázmány Catholc Unversty H 1083
More informationDS May 31,2012 Commissioner, Development. Services Department SPA June 7,2012
. h,oshawa o Report To: From: Subject: Development Servces Commttee Item: Date of Report: DS-12-189 May 31,2012 Commssoner, Development Fle: Date of Meetng: Servces Department SPA-2010-09 June 7,2012 Applcaton
More informationResearch Article A Virtual Instrument System for Determining Sugar Degree of Honey
Analytcal Methods n Chemstry Volume 215, Artcle ID 534795, 6 pages http://dx.do.org/1.1155/215/534795 Research Artcle A Vrtual Instrument System for Determnng Sugar Degree of Honey Qjun Wu 1,2 and Xun
More informationExperimentation and Modeling of Soldier Target Search
Calhoun: The NPS Insttutonal Archve Faculty and Researcher Publcatons Faculty and Researcher Publcatons 2009 Expermentaton and Modelng of Solder Target Search Chung, Tmothy H. Matthew Hastng, Tmothy H.
More informationHeart Rate Variability Analysis Diagnosing Atrial Fibrillation
X-ray PIV Measurements of Velocty Feld of Blood Flows Volume 5, umber 2: 46-52, October 2007 Internatonal Journal of Vascular Bomedcal Engneerng Heart Rate Varablty Analyss Dagnosng Atral Fbrllaton Jnho
More informationTitle: Life Tables of Bactrocera cucurbitae (Coquillett) (Diptera: Tephritidae):
Page 1 of 31 1 2 3 Ttle: Lfe Tables of Bactrocera cucurbtae (Coqullett) (Dptera: Tephrtdae): wth a Mathematcal Invaldaton for Applyng the Jackknfe Technque to the Net Reproductve Rate 4 5 Runnng ttle:
More informationAutomatic Labelling and BI-RADS Characterisation of Mammogram Densities
Lmted crculaton. For revew only. Automatc Labellng and BI-RADS Charactersaton of ammogram Denstes K. aras,. G. Lnguraru 3,. G. Ballester 4, S. Petroud,. Tsknaks and Sr. Brady Insttute of Computer Scence,
More informationWe analyze the effect of tumor repopulation on optimal dose delivery in radiation therapy. We are primarily
INFORMS Journal on Computng Vol. 27, No. 4, Fall 215, pp. 788 83 ISSN 191-9856 (prnt) ó ISSN 1526-5528 (onlne) http://dx.do.org/1.1287/joc.215.659 215 INFORMS Optmzaton of Radaton Therapy Fractonaton Schedules
More informationMaize Varieties Combination Model of Multi-factor. and Implement
Maze Varetes Combnaton Model of Mult-factor and Implement LIN YANG,XIAODONG ZHANG,SHAOMING LI Department of Geographc Informaton Scence Chna Agrcultural Unversty No. 17 Tsnghua East Road, Bejng 100083
More informationEvaluation of the generalized gamma as a tool for treatment planning optimization
Internatonal Journal of Cancer Therapy and Oncology www.jcto.org Evaluaton of the generalzed gamma as a tool for treatment plannng optmzaton Emmanoul I Petrou 1,, Ganesh Narayanasamy 3, Eleftheros Lavdas
More informationSparse Representation of HCP Grayordinate Data Reveals. Novel Functional Architecture of Cerebral Cortex
1 Sparse Representaton of HCP Grayordnate Data Reveals Novel Functonal Archtecture of Cerebral Cortex X Jang 1, Xang L 1, Jngle Lv 2,1, Tuo Zhang 2,1, Shu Zhang 1, Le Guo 2, Tanmng Lu 1* 1 Cortcal Archtecture
More informationReconciling Simplicity and Likelihood Principles in Perceptual Organization
Psychologcal Revew Copyrght 1996 by the Amercan Psychologcal Assocaton, Inc. 1996. Vol. 103, No. 3, 566-581 0033-295X/96/$3.00 Reconclng Smplcty and Lkelhood Prncples n Perceptual Organzaton Nck Chater
More informationStatistical Analysis on Infectious Diseases in Dubai, UAE
Internatonal Journal of Preventve Medcne Research Vol. 1, No. 4, 015, pp. 60-66 http://www.ascence.org/journal/jpmr Statstcal Analyss on Infectous Dseases 1995-013 n Duba, UAE Khams F. G. 1, Hussan H.
More informationTHIS IS AN OFFICIAL NH DHHS HEALTH ALERT
THIS IS AN OFFICIAL NH DHHS HEALTH ALERT Dstrbuted by the NH Health Alert Network Health.Alert@dhhs.nh.gov August 26, 2016 1430 EDT (2:30 PM EDT) NH-HAN 20160826 Recommendatons for Accurate Dagnoss of
More informationCLUSTERING is always popular in modern technology
Max-Entropy Feed-Forward Clusterng Neural Network Han Xao, Xaoyan Zhu arxv:1506.03623v1 [cs.lg] 11 Jun 2015 Abstract The outputs of non-lnear feed-forward neural network are postve, whch could be treated
More informationModeling the Survival of Retrospective Clinical Data from Prostate Cancer Patients in Komfo Anokye Teaching Hospital, Ghana
Internatonal Journal of Appled Scence and Technology Vol. 5, No. 6; December 2015 Modelng the Survval of Retrospectve Clncal Data from Prostate Cancer Patents n Komfo Anokye Teachng Hosptal, Ghana Asedu-Addo,
More informationJournal of Engineering Science and Technology Review 11 (2) (2018) Research Article
Jestr Journal of Engneerng Scence and Technology Revew 11 (2) (2018) 8-12 Research Artcle Detecton Lung Cancer Usng Gray Level Co-Occurrence Matrx (GLCM) and Back Propagaton Neural Network Classfcaton
More informationALMALAUREA WORKING PAPERS no. 9
Snce 1994 Inter-Unversty Consortum Connectng Unverstes, the Labour Market and Professonals AlmaLaurea Workng Papers ISSN 2239-9453 ALMALAUREA WORKING PAPERS no. 9 September 211 Propensty Score Methods
More informationActive Affective State Detection and User Assistance with Dynamic Bayesian Networks. Xiangyang Li, Qiang Ji
Actve Affectve State Detecton and User Assstance wth Dynamc Bayesan Networks Xangyang L, Qang J Electrcal, Computer, and Systems Engneerng Department Rensselaer Polytechnc Insttute, 110 8th Street, Troy,
More informationAnalysis of Correlated Recurrent and Terminal Events Data in SAS Li Lu 1, Chenwei Liu 2
Statstcs & Analyss Analyss of Correlated Recurrent and ermnal Events Data n SAS L Lu 1, Chenwe Lu 2 1 he EMMES Corporaton, Rockvlle, MD 2 Core Genotypng Faclty, Dvson of Cancer Epdemology and Genetcs,
More informationN-back Training Task Performance: Analysis and Model
N-back Tranng Task Performance: Analyss and Model J. Isaah Harbson (jharb@umd.edu) Center for Advanced Study of Language and Department of Psychology, Unversty of Maryland 7005 52 nd Avenue, College Park,
More informationThe Study of Gearing Line Limits of the Cycloid Gear With Roller Teeth
ISSN 1224-3264, Volume 2013 No.XXVII The Study o Gearng Lne Lmts o the Cyclod Gear Wth Roller Teeth Dăscălescu, Anamara Abstract: From dynamc pont o vew, at the cyclod gear transmsson s not ratonal to
More informationAn Introduction to Modern Measurement Theory
An Introducton to Modern Measurement Theory Ths tutoral was wrtten as an ntroducton to the bascs of tem response theory (IRT) modelng and ts applcatons to health outcomes measurement for the Natonal Cancer
More informationDETECTION AND CLASSIFICATION OF BRAIN TUMOR USING ML
DOI: http://dx.do.org/0.26483/arcs.v92.5807 Volume 9, No. 2, March-Aprl 208 Internatonal Journal of Advanced Research n Computer Scence RESEARCH PAPER Avalable Onlne at www.arcs.nfo ISSN No. 0976-5697
More informationMuscle Synergy Analysis Between Young and Elderly People in Standing-Up Motion
An, Q., Ikemoto, Y., and Asama, H. Paper: Muscle Synergy Analyss Between Young and Elderly People n Standng-Up Moton Q An, Yusuke Ikemoto, and Hajme Asama The Unversty of Tokyo 7-3-1 Hongo, Bunkyou-ku,
More informationThe Effect of Fish Farmers Association on Technical Efficiency: An Application of Propensity Score Matching Analysis
The Effect of Fsh Farmers Assocaton on Techncal Effcency: An Applcaton of Propensty Score Matchng Analyss Onumah E. E, Esslfe F. L, and Asumng-Brempong, S 15 th July, 2016 Background and Motvaton Outlne
More informationWhat Determines Attitude Improvements? Does Religiosity Help?
Internatonal Journal of Busness and Socal Scence Vol. 4 No. 9; August 2013 What Determnes Atttude Improvements? Does Relgosty Help? Madhu S. Mohanty Calforna State Unversty-Los Angeles Los Angeles, 5151
More informationSynthesis of Glycerol Carbonate from Glycerol, a By-Product of Biodiesel Production
INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING Volume 7 009 Artcle A87 Synthess of Glycerol Carbonate from Glycerol, a By-Product of Bodesel Producton Zsanett Herseczk Tamás Varga Gyula Marton Unversty
More informationPlanning of Optimal Fuel Supply of International Transport Activity
P Perodca Polytechnca Transportaton Engneerng P Plannng of Optmal Fuel Supply of Internatonal Transport Actvty 45(4), pp. 86-95, 27 https://do.org/.33/pptr.843 Creatve Commons Attrbuton b György Kovács
More informationEncoding processes, in memory scanning tasks
vlemory & Cognton 1976,4 (5), 501 506 Encodng processes, n memory scannng tasks JEFFREY O. MILLER and ROBERT G. PACHELLA Unversty of Mchgan, Ann Arbor, Mchgan 48101, Three experments are presented that
More informationUnobserved Heterogeneity and the Statistical Analysis of Highway Accident Data
Unobserved Heterogenety and the Statstcal Analyss of Hghway Accdent Data Fred L. Mannerng Professor of Cvl and Envronmental Engneerng Courtesy Department of Economcs Unversty of South Florda 4202 E. Fowler
More informationOn the structure optimization and kinematics analysis of the lower extremity exoskeleton robot
On the structure optmzaton and knematcs analss of the lower etremt eoskeleton robot Mng Lu a, Xuanuan Zhu, Shuzh Sun, Xangguang Jang, We Zheng, Xuebn Lu College of Mechancal and Electronc Engneerng, Shandong
More informationPerformance Evaluation of Public Non-Profit Hospitals Using a BP Artificial Neural Network: The Case of Hubei Province in China
Int. J. Envron. Res. Publc Health 2013, 10, 3619-3633; do:10.3390/jerph10083619 OPEN ACCESS Artcle Internatonal Journal of Envronmental Research and Publc Health ISSN 1660-4601 www.mdp.com/journal/jerph
More informationMyocardial Motion Analysis of Echocardiography Images using Optical Flow Radial Direction Distribution
Journal of Computer Scence 7 (7): 1046-1051, 011 ISSN 1549-3636 011 Scence Publcatons Myocardal Moton Analyss of Echocardography Images usng Optcal Flow Radal Drecton Dstrbuton Slamet Ryad, Mohd Marzuk
More informationadministration neural network vs. induction methods for knowledge classification
Decson support methods n dabetc patent management by nsuln admnstraton neural network vs. nducton methods for knowledge classfcaton Ambrosadou, B, Vadera, S, Shankararaman, V and Gouls, D Ttle Authors
More information