WorldWideScience

Sample records for virtual machine tool

  1. Case study of virtual reality in CNC machine tool exhibition

    Directory of Open Access Journals (Sweden)

    Kao Yung-Chou

    2017-01-01

    Full Text Available Exhibition and demonstration are generally used in the promotion and sale-assistance of manufactured products. However, the transportation cost of the real goods from the vender factory to the exposition venue is generally expensive for huge and heavy commodity. With the advancement of computing, graphics, mobile apps, and mobile hardware the 3D visibility technology is getting more and more popular to be adopted in visual-assisted communication such as amusement games. Virtual reality (VR technology has therefore being paid great attention in emulating expensive small and/or huge and heavy equipment. Virtual reality can be characterized as 3D extension with Immersion, Interaction and Imagination. This paper was then be focused on the study of virtual reality in the assistance of CNC machine tool demonstration and exhibition. A commercial CNC machine tool was used in this study to illustrate the effectiveness and usability of using virtual reality for an exhibition. The adopted CNC machine tool is a large and heavy mill-turn machine with the width up to eleven meters and weighted about 35 tons. A head-mounted display (HMD was attached to the developed VR CNC machine tool for the immersion viewing. A user can see around the 3D scene of the large mill-turn machine and the operation of the virtual CNC machine can be actuated by bare hand. Coolant was added to demonstrate more realistic operation while collision detection function was also added to remind the operator. The developed VR demonstration system has been presented in the 2017 Taipei International Machine Tool Show (TIMTOS 2017. This case study has shown that young engineers and/or students are very impressed by the VR-based demonstration while elder persons could not adapt themselves easily to the VR-based scene because of eyesight issues. However, virtual reality has successfully being adopted and integrated with the CNC machine tool in an international show. Another machine tool on

  2. VIRTUAL MODELING OF A NUMERICAL CONTROL MACHINE TOOL USED FOR COMPLEX MACHINING OPERATIONS

    OpenAIRE

    Popescu, Adrian; PARASCHIV Marius Daniel; Pascu, Nicoleta Elisabeta

    2015-01-01

    This paper presents the 3D virtual model of the numerical control machine Modustar 100, in terms of machine elements. This is a CNC machine of modular construction, all components allowing the assembly in various configurations. The paper focused on the design of the subassemblies specific to the axes numerically controlled by means of CATIA v5, which contained different drive kinematic chains of different translation modules that ensures translation on X, Y and Z axis. Machine tool developme...

  3. VIRTUAL MODELING OF A NUMERICAL CONTROL MACHINE TOOL USED FOR COMPLEX MACHINING OPERATIONS

    Directory of Open Access Journals (Sweden)

    POPESCU Adrian

    2015-11-01

    Full Text Available This paper presents the 3D virtual model of the numerical control machine Modustar 100, in terms of machine elements. This is a CNC machine of modular construction, all components allowing the assembly in various configurations. The paper focused on the design of the subassemblies specific to the axes numerically controlled by means of CATIA v5, which contained different drive kinematic chains of different translation modules that ensures translation on X, Y and Z axis. Machine tool development for high speed and highly precise cutting demands employment of advanced simulation techniques witch it reflect on cost of total development of the machine.

  4. Case study of virtual reality in CNC machine tool exhibition

    OpenAIRE

    Kao Yung-Chou; Lee Chung-Shuo; Liu Zhi-Ren; Lin Yu-Fu

    2017-01-01

    Exhibition and demonstration are generally used in the promotion and sale-assistance of manufactured products. However, the transportation cost of the real goods from the vender factory to the exposition venue is generally expensive for huge and heavy commodity. With the advancement of computing, graphics, mobile apps, and mobile hardware the 3D visibility technology is getting more and more popular to be adopted in visual-assisted communication such as amusement games. Virtual reality (VR) t...

  5. Formal modeling of virtual machines

    Science.gov (United States)

    Cremers, A. B.; Hibbard, T. N.

    1978-01-01

    Systematic software design can be based on the development of a 'hierarchy of virtual machines', each representing a 'level of abstraction' of the design process. The reported investigation presents the concept of 'data space' as a formal model for virtual machines. The presented model of a data space combines the notions of data type and mathematical machine to express the close interaction between data and control structures which takes place in a virtual machine. One of the main objectives of the investigation is to show that control-independent data type implementation is only of limited usefulness as an isolated tool of program development, and that the representation of data is generally dictated by the control context of a virtual machine. As a second objective, a better understanding is to be developed of virtual machine state structures than was heretofore provided by the view of the state space as a Cartesian product.

  6. Finite Virtual State Machines

    OpenAIRE

    Senhadji Navarro, Raouf; García Vargas, Ignacio

    2012-01-01

    This letter proposes a new model of state machine called Finite Virtual State Machine (FVSM). A memory-based architecture and a procedure for generating FVSM implementations from Finite State Machines (FSMs) are presented. FVSM implementations provide advantages in speed over conventional RAM-based FSM implementations. The results of experiments prove the feasibility of this approach.

  7. Machine learning-based assessment tool for imbalance and vestibular dysfunction with virtual reality rehabilitation system.

    Science.gov (United States)

    Yeh, Shih-Ching; Huang, Ming-Chun; Wang, Pa-Chun; Fang, Te-Yung; Su, Mu-Chun; Tsai, Po-Yi; Rizzo, Albert

    2014-10-01

    Dizziness is a major consequence of imbalance and vestibular dysfunction. Compared to surgery and drug treatments, balance training is non-invasive and more desired. However, training exercises are usually tedious and the assessment tool is insufficient to diagnose patient's severity rapidly. An interactive virtual reality (VR) game-based rehabilitation program that adopted Cawthorne-Cooksey exercises, and a sensor-based measuring system were introduced. To verify the therapeutic effect, a clinical experiment with 48 patients and 36 normal subjects was conducted. Quantified balance indices were measured and analyzed by statistical tools and a Support Vector Machine (SVM) classifier. In terms of balance indices, patients who completed the training process are progressed and the difference between normal subjects and patients is obvious. Further analysis by SVM classifier show that the accuracy of recognizing the differences between patients and normal subject is feasible, and these results can be used to evaluate patients' severity and make rapid assessment. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  8. myChEMBL: a virtual machine implementation of open data and cheminformatics tools.

    Science.gov (United States)

    Ochoa, Rodrigo; Davies, Mark; Papadatos, George; Atkinson, Francis; Overington, John P

    2014-01-15

    myChEMBL is a completely open platform, which combines public domain bioactivity data with open source database and cheminformatics technologies. myChEMBL consists of a Linux (Ubuntu) Virtual Machine featuring a PostgreSQL schema with the latest version of the ChEMBL database, as well as the latest RDKit cheminformatics libraries. In addition, a self-contained web interface is available, which can be modified and improved according to user specifications. The VM is available at: ftp://ftp.ebi.ac.uk/pub/databases/chembl/VM/myChEMBL/current. The web interface and web services code is available at: https://github.com/rochoa85/myChEMBL.

  9. Development of Virtual Simulation System for Remote Collaborative Surface Machining

    Institute of Scientific and Technical Information of China (English)

    R.S.Lee; Y.S.Lin; Y.C.Kao; C. H. She

    2006-01-01

    Most researches about virtual machine tool are emphasized on simulations of machine motion and machining process for single machine. In this paper, a virtual simulation system for remote collaborative surface machining is developed. The motion command of machine tool is generated by an interpolator, which can derive synchronized motion commands according to feedrate. Thus, the system can estimate the machining time. For universal assembly of five-axis virtual machine tool, it is based on the D-H notation representation and machining constraints consideration. The remote collaborative virtual manufacturing system based on the CORBA technology is proposed in this paper. It demonstrated that the developed virtual machine tool can be used to verify and simulate the machining process for the collaboration of the surface design and manufacturing team.

  10. Machine tool structures

    CERN Document Server

    Koenigsberger, F

    1970-01-01

    Machine Tool Structures, Volume 1 deals with fundamental theories and calculation methods for machine tool structures. Experimental investigations into stiffness are discussed, along with the application of the results to the design of machine tool structures. Topics covered range from static and dynamic stiffness to chatter in metal cutting, stability in machine tools, and deformations of machine tool structures. This volume is divided into three sections and opens with a discussion on stiffness specifications and the effect of stiffness on the behavior of the machine under forced vibration c

  11. Nanocomposites for Machining Tools

    Directory of Open Access Journals (Sweden)

    Daria Sidorenko

    2017-10-01

    Full Text Available Machining tools are used in many areas of production. To a considerable extent, the performance characteristics of the tools determine the quality and cost of obtained products. The main materials used for producing machining tools are steel, cemented carbides, ceramics and superhard materials. A promising way to improve the performance characteristics of these materials is to design new nanocomposites based on them. The application of micromechanical modeling during the elaboration of composite materials for machining tools can reduce the financial and time costs for development of new tools, with enhanced performance. This article reviews the main groups of nanocomposites for machining tools and their performance.

  12. Nanocomposites for Machining Tools

    DEFF Research Database (Denmark)

    Sidorenko, Daria; Loginov, Pavel; Mishnaevsky, Leon

    2017-01-01

    . A promising way to improve the performance characteristics of these materials is to design new nanocomposites based on them. The application of micromechanical modeling during the elaboration of composite materials for machining tools can reduce the financial and time costs for development of new tools......Machining tools are used in many areas of production. To a considerable extent, the performance characteristics of the tools determine the quality and cost of obtained products. The main materials used for producing machining tools are steel, cemented carbides, ceramics and superhard materials......, with enhanced performance. This article reviews the main groups of nanocomposites for machining tools and their performance....

  13. Nanocomposites for Machining Tools.

    Science.gov (United States)

    Sidorenko, Daria; Loginov, Pavel; Mishnaevsky, Leon; Levashov, Evgeny

    2017-10-13

    Machining tools are used in many areas of production. To a considerable extent, the performance characteristics of the tools determine the quality and cost of obtained products. The main materials used for producing machining tools are steel, cemented carbides, ceramics and superhard materials. A promising way to improve the performance characteristics of these materials is to design new nanocomposites based on them. The application of micromechanical modeling during the elaboration of composite materials for machining tools can reduce the financial and time costs for development of new tools, with enhanced performance. This article reviews the main groups of nanocomposites for machining tools and their performance.

  14. Nanocomposites for Machining Tools

    Science.gov (United States)

    Loginov, Pavel; Mishnaevsky, Leon; Levashov, Evgeny

    2017-01-01

    Machining tools are used in many areas of production. To a considerable extent, the performance characteristics of the tools determine the quality and cost of obtained products. The main materials used for producing machining tools are steel, cemented carbides, ceramics and superhard materials. A promising way to improve the performance characteristics of these materials is to design new nanocomposites based on them. The application of micromechanical modeling during the elaboration of composite materials for machining tools can reduce the financial and time costs for development of new tools, with enhanced performance. This article reviews the main groups of nanocomposites for machining tools and their performance. PMID:29027926

  15. Planificación del proceso de fresado de una pieza compleja utilizando una máquina herramienta virtual//Milling process planning of a complex workpiece using a virtual machine tool

    Directory of Open Access Journals (Sweden)

    Jorge‐Andrés García‐Barbosa

    2014-08-01

    Full Text Available Se diseñó y se fabricó exitosamente una pieza experimental compleja compuesta de superficies con curvatura cero, positiva y negativa. Se planificó y se ejecutó el proceso de fabricación por maquinado usando el proceso de fresado con herramientas de punta esférica en un centro de maquinado vertical equipado con un cuarto eje de rotación externo. Para la planificación, simulación y verificación del proceso se desarrolló un modelo virtual de la máquina herramienta disponible y sus accesorios en un sistema comercial de maquinado asistido por computador. Se implementó el montaje virtual del sistema de manufactura con el que se verificó y se ajustó el proceso hasta observar un buen desempeño. Se comprobaron así las ventajas de utilizar los recientes métodos virtuales ofrecidos por varios sistemas de maquinado asistido por computador para la simulación del proceso, especialmente cuando se trata de componentes complejos procesados en máquinas herramienta de más de tres ejes.Palabras claves: máquinas herramienta virtuales, planificación de procesos, maquinado de piezas complejas, simulación y verificación de procesos, maquinado multiejes.______________________________________________________________________________AbstractWe designed and successfully manufactured a complex experimental piece composed of surfaces with zero, positive and negative curvatures. We planned and executed the machining manufacturing process by using milling process with end ball nose tools on a vertical machining center equipped with a fourth external rotational axis. For planning, simulation and verification of the machiningprocess, we developed a virtual model of the machine tool and its accessories in a commercial system for computer aided machining. By mounting the virtual manufacturing system, we verified the process and adjusted it until observe a good performance. We tested and confirmed the advantages of using the recent virtual methods for

  16. Machine Tool Software

    Science.gov (United States)

    1988-01-01

    A NASA-developed software package has played a part in technical education of students who major in Mechanical Engineering Technology at William Rainey Harper College. Professor Hack has been using (APT) Automatically Programmed Tool Software since 1969 in his CAD/CAM Computer Aided Design and Manufacturing curriculum. Professor Hack teaches the use of APT programming languages for control of metal cutting machines. Machine tool instructions are geometry definitions written in APT Language to constitute a "part program." The part program is processed by the machine tool. CAD/CAM students go from writing a program to cutting steel in the course of a semester.

  17. Chatter and machine tools

    CERN Document Server

    Stone, Brian

    2014-01-01

    Focussing on occurrences of unstable vibrations, or Chatter, in machine tools, this book gives important insights into how to eliminate chatter with associated improvements in product quality, surface finish and tool wear. Covering a wide range of machining processes, including turning, drilling, milling and grinding, the author uses his research expertise and practical knowledge of vibration problems to provide solutions supported by experimental evidence of their effectiveness. In addition, this book contains links to supplementary animation programs that help readers to visualise the ideas detailed in the text. Advancing knowledge in chatter avoidance and suggesting areas for new innovations, Chatter and Machine Tools serves as a handbook for those desiring to achieve significant reductions in noise, longer tool and grinding wheel life and improved product finish.

  18. EVALUATION OF MACHINE TOOL QUALITY

    Directory of Open Access Journals (Sweden)

    Ivan Kuric

    2011-12-01

    Full Text Available Paper deals with aspects of quality and accuracy of machine tools. As the accuracy of machine tools has key factor for product quality, it is important to know the methods for evaluation of quality and accuracy of machine tools. Several aspects of diagnostics of machine tools are described, such as aspects of reliability.

  19. vSphere virtual machine management

    CERN Document Server

    Fitzhugh, Rebecca

    2014-01-01

    This book follows a step-by-step tutorial approach with some real-world scenarios that vSphere businesses will be required to overcome every day. This book also discusses creating and configuring virtual machines and also covers monitoring virtual machine performance and resource allocation options. This book is for VMware administrators who want to build their knowledge of virtual machine administration and configuration. It's assumed that you have some experience with virtualization administration and vSphere.

  20. Analysis of machining and machine tools

    CERN Document Server

    Liang, Steven Y

    2016-01-01

    This book delivers the fundamental science and mechanics of machining and machine tools by presenting systematic and quantitative knowledge in the form of process mechanics and physics. It gives readers a solid command of machining science and engineering, and familiarizes them with the geometry and functionality requirements of creating parts and components in today’s markets. The authors address traditional machining topics, such as: single and multiple point cutting processes grinding components accuracy and metrology shear stress in cutting cutting temperature and analysis chatter They also address non-traditional machining, such as: electrical discharge machining electrochemical machining laser and electron beam machining A chapter on biomedical machining is also included. This book is appropriate for advanced undergraduate and graduate mechani cal engineering students, manufacturing engineers, and researchers. Each chapter contains examples, exercises and their solutions, and homework problems that re...

  1. VIRTUAL MACHINES IN EDUCATION – CNC MILLING MACHINE WITH SINUMERIK 840D CONTROL SYSTEM

    Directory of Open Access Journals (Sweden)

    Ireneusz Zagórski

    2014-11-01

    Full Text Available Machining process nowadays could not be conducted without its inseparable element: cutting edge and frequently numerically controlled milling machines. Milling and lathe machining centres comprise standard equipment in many companies of the machinery industry, e.g. automotive or aircraft. It is for that reason that tertiary education should account for this rising demand. This entails the introduction into the curricula the forms which enable visualisation of machining, milling process and virtual production as well as virtual machining centres simulation. Siemens Virtual Machine (Virtual Workshop sets an example of such software, whose high functionality offers a range of learning experience, such as: learning the design of machine tools, their configuration, basic operation functions as well as basics of CNC.

  2. Virtual Class Support at the Virtual Machine Level

    DEFF Research Database (Denmark)

    Nielsen, Anders Bach; Ernst, Erik

    2009-01-01

    This paper describes how virtual classes can be supported in a virtual machine.  Main-stream virtual machines such as the Java Virtual Machine and the .NET platform dominate the world today, and many languages are being executed on these virtual machines even though their embodied design choices...... conflict with the design choices of the virtual machine.  For instance, there is a non-trivial mismatch between the main-stream virtual machines mentioned above and dynamically typed languages.  One language concept that creates an even greater mismatch is virtual classes, in particular because fully...... general support for virtual classes requires generation of new classes at run-time by mixin composition.  Languages like CaesarJ and ObjectTeams can express virtual classes restricted to the subset that does not require run-time generation of classes, because of the restrictions imposed by the Java...

  3. Virtual machine showdown: stack versus registers

    OpenAIRE

    Shi, Yunhe

    2007-01-01

    Virtual machines (VMs) enable the distribution of programs in an architecture-neutral format, which can easily be interpreted or compiled. The most popular VMs, such as the Java virtual machine (JVM), use a virtual stack architecture, rather than the register architecture that are most popular in real processors. A long-running question in the design of VMs is whether a stack architecture or register architecture can be implemented more efficiently with an interpreter. On the one hand, stac...

  4. Diamond machine tool face lapping machine

    Science.gov (United States)

    Yetter, H.H.

    1985-05-06

    An apparatus for shaping, sharpening and polishing diamond-tipped single-point machine tools. The isolation of a rotating grinding wheel from its driving apparatus using an air bearing and causing the tool to be shaped, polished or sharpened to be moved across the surface of the grinding wheel so that it does not remain at one radius for more than a single rotation of the grinding wheel has been found to readily result in machine tools of a quality which can only be obtained by the most tedious and costly processing procedures, and previously unattainable by simple lapping techniques.

  5. Controlling Multiple Virtual Machines in Computer Classrooms

    Directory of Open Access Journals (Sweden)

    Petr Zach

    2015-01-01

    Full Text Available A management of computer classroom is undoubtedly a difficult task for the administrator which has to prepare virtual operating systems for education. It is quite common that lectors need to edit the particular machine during the semester, and that is the case where the main problems can appear. The process of changes deployment is not just very time-consuming but during it a virtual machine inconsistency can appear. The main part of this paper focuses on system process diagrams and its pseudocode. At first, the machine is created on the remote server by lector or administrator. After a proper approval, the machine is able to be deployed. The lector then specifies the details about date, time and destinations of the virtual machine deployment. Once these details are approved, the virtual machine will be automatically deployed at the specified time. The automatic deployment includes also an initial configuration of the virtual machine at remote desktop and its post-install configuration (hostname, MAC address, etc.. Once all steps are completed, the process will be marked as succeed. We present an automatized solution which provides a possibility how to easily manage computer classroom with virtual operating systems. The proposed solution should deliver a greater flexibility, more reliability and faster deployment in comparison with the current solution used in our computer classroom. The proposal is also able to manipulate with already deployed machines for easy changes (e.g. software updates. The main advantage is the improvement of classroom management process automation.

  6. Slide system for machine tools

    Science.gov (United States)

    Douglass, S.S.; Green, W.L.

    1980-06-12

    The present invention relates to a machine tool which permits the machining of nonaxisymmetric surfaces on a workpiece while rotating the workpiece about a central axis of rotation. The machine tool comprises a conventional two-slide system (X-Y) with one of these slides being provided with a relatively short travel high-speed auxiliary slide which carries the material-removing tool. The auxiliary slide is synchronized with the spindle speed and the position of the other two slides and provides a high-speed reciprocating motion required for the displacement of the cutting tool for generating a nonaxisymmetric surface at a selected location on the workpiece.

  7. Android Virtual Machine (VM) Setup on Linux

    Science.gov (United States)

    2014-12-01

    Machine (VM) Setup on Linux Ken F Yu Computational and Information Sciences Directorate, ARL...Android emulator using an Android VM on an x86 host computer . 15. SUBJECT TERMS ELIDe, Android, VM, virtual machine 16. SECURITY CLASSIFICATION OF...Select < filesystem > type ..................................................................................................10 Fig. 19 Answer <yes> to

  8. The Virtual Intercultural Team Tool

    Science.gov (United States)

    Rus, Calin

    2010-01-01

    This article describes the Virtual Intercultural Team Tool (VITT) and discusses its processes and benefits. VIIT is a virtual platform designed with the aim of assisting European project teams to improve intercultural communication and build on their cultural diversity for effective implementation of their projects. It is a process-focused tool,…

  9. Improved tool grinding machine

    Science.gov (United States)

    Dial, C.E. Sr.

    The present invention relates to an improved tool grinding mechanism for grinding single point diamond cutting tools to precise roundness and radius specifications. The present invention utilizes a tool holder which is longitudinally displaced with respect to the remainder of the grinding system due to contact of the tool with the grinding surface with this displacement being monitored so that any variation in the grinding of the cutting surface such as caused by crystal orientation or tool thicknesses may be compensated for during the grinding operation to assure the attainment of the desired cutting tool face specifications.

  10. ADAPTATION OF PARALLEL VIRTUAL MACHINES MECHANISMS TO PARALLEL SYSTEMS

    Directory of Open Access Journals (Sweden)

    Zafer DEMİR

    2001-02-01

    Full Text Available In this study, at first, Parallel Virtual Machine is reviewed. Since It is based upon parallel processing, it is similar to parallel systems in principle in terms of architecture. Parallel Virtual Machine is neither an operating system nor a programming language. It is a specific software tool that supports heterogeneous parallel systems. However, it takes advantage of the features of both to make users close to parallel systems. Since tasks can be executed in parallel on parallel systems by Parallel Virtual Machine, there is an important similarity between PVM and distributed systems and multiple processors. In this study, the relations in question are examined by making use of Master-Slave programming technique. In conclusion, the PVM is tested with a simple factorial computation on a distributed system to observe its adaptation to parallel architects.

  11. Untyped Memory in the Java Virtual Machine

    DEFF Research Database (Denmark)

    Gal, Andreas; Probst, Christian; Franz, Michael

    2005-01-01

    We have implemented a virtual execution environment that executes legacy binary code on top of the type-safe Java Virtual Machine by recompiling native code instructions to type-safe bytecode. As it is essentially impossible to infer static typing into untyped machine code, our system emulates...... untyped memory on top of Java’s type system. While this approach allows to execute native code on any off-the-shelf JVM, the resulting runtime performance is poor. We propose a set of virtual machine extensions that add type-unsafe memory objects to JVM. We contend that these JVM extensions do not relax...... Java’s type system as the same functionality can be achieved in pure Java, albeit much less efficiently....

  12. Development of multifunctional reconfigurable desktop machine tool with hybrid kinematics

    Directory of Open Access Journals (Sweden)

    Živanović Saša T.

    2015-01-01

    Full Text Available This paper presents a desktop reconfigurable machine tool with hybrid kinematics for four types machine tools, with a description of the applied mechanism and established a modular system for their configuring. The postprocessor for five-axis machining presented in this paper is applied to the kinematic structures with table-tilting with two rotations (B,C. Also are shown solving the position of actuators p1 and p2 when the machine works with hybrid kinematics. Verification of postprocessor is realized on virtual prototype in CAD/CAM environment and experimentally on an available 3-axis machine tool. Experimental results confirmed the configured postprocessor which can be used for programming machine tools.

  13. Virtual Machine Language Controls Remote Devices

    Science.gov (United States)

    2014-01-01

    Kennedy Space Center worked with Blue Sun Enterprises, based in Boulder, Colorado, to enhance the company's virtual machine language (VML) to control the instruments on the Regolith and Environment Science and Oxygen and Lunar Volatiles Extraction mission. Now the NASA-improved VML is available for crewed and uncrewed spacecraft, and has potential applications on remote systems such as weather balloons, unmanned aerial vehicles, and submarines.

  14. A Review of Virtual Machine Attack Based on Xen

    Directory of Open Access Journals (Sweden)

    Ren xun-yi

    2016-01-01

    Full Text Available Virtualization technology as the foundation of cloud computing gets more and more attention because the cloud computing has been widely used. Analyzing the threat with the security of virtual machine and summarizing attack about virtual machine based on XEN to predict visible security hidden recently. Base on this paper can provide a reference for the further research on the security of virtual machine.

  15. Performance and portability of the SciBy virtual machine

    DEFF Research Database (Denmark)

    Andersen, Rasmus; Vinter, Brian

    2010-01-01

    The Scientific Bytecode Virtual Machine is a virtual machine designed specifically for performance, security, and portability of scientific applications deployed in a Grid environment. The performance overhead normally incurred by virtual machines is mitigated using native optimized scientific...... libraries, security is obtained by sandboxing techniques. Lastly, by executing platform-independent bytecodes, the machine is highly portable. To evaluate the machine, we demonstrate several use-case scenarios from some of the intended application domains. Further, we show the ease of porting the machine...

  16. A Cooperative Approach to Virtual Machine Based Fault Injection

    Energy Technology Data Exchange (ETDEWEB)

    Naughton III, Thomas J [ORNL; Engelmann, Christian [ORNL; Vallee, Geoffroy R [ORNL; Aderholdt, William Ferrol [ORNL; Scott, Stephen L [Tennessee Technological University (TTU)

    2017-01-01

    Resilience investigations often employ fault injection (FI) tools to study the effects of simulated errors on a target system. It is important to keep the target system under test (SUT) isolated from the controlling environment in order to maintain control of the experiement. Virtual machines (VMs) have been used to aid these investigations due to the strong isolation properties of system-level virtualization. A key challenge in fault injection tools is to gain proper insight and context about the SUT. In VM-based FI tools, this challenge of target con- text is increased due to the separation between host and guest (VM). We discuss an approach to VM-based FI that leverages virtual machine introspection (VMI) methods to gain insight into the target s context running within the VM. The key to this environment is the ability to provide basic information to the FI system that can be used to create a map of the target environment. We describe a proof- of-concept implementation and a demonstration of its use to introduce simulated soft errors into an iterative solver benchmark running in user-space of a guest VM.

  17. Virtual Machine Images Management in Cloud Environments

    CERN Multimedia

    CERN. Geneva

    2017-01-01

    Nowadays, the demand for scalability in distributed systems has led a design philosophy in which virtual resources need to be configured in a flexible way to provide services to a large number of users. The configuration and management of such an architecture is challenging (e.g.: 100,000 compute cores on the private cloud together with thousands of cores on external cloud resources). There is the need to process CPU intensive work whilst ensuring that the resources are shared fairly between different users of the system, and guarantee that all nodes are up to date with new images containing the latest software configurations. Different types of automated systems can be used to facilitate the orchestration. CERN’s current system, composed of different technologies such as OpenStack, Packer, Puppet, Rundeck and Docker will be introduced and explained, together with the process used to create new Virtual Machines images at CERN.

  18. Mapping, Awareness, And Virtualization Network Administrator Training Tool Virtualization Module

    Science.gov (United States)

    2016-03-01

    AND VIRTUALIZATION NETWORK ADMINISTRATOR TRAINING TOOL VIRTUALIZATION MODULE by Erik W. Berndt March 2016 Thesis Advisor: John Gibson...REPORT TYPE AND DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE MAPPING, AWARENESS, AND VIRTUALIZATION NETWORK ADMINISTRATOR TRAINING TOOL... VIRTUALIZATION MODULE 5. FUNDING NUMBERS 6. AUTHOR(S) Erik W. Berndt 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval Postgraduate School

  19. Assessment of machine tool dynamic properties

    Directory of Open Access Journals (Sweden)

    Koèí Petr

    2003-12-01

    Full Text Available The paper gives a review of research works focused on cutting process during machine tools working conditions. The main result deals with assessing dynamic compliance (stiffness. The simplified experimental modal analysis of machine tools was carried out. This analysis results in determination the direction of the maximal compliance of a machine structure. The measurements are arranged into a diagram giving overview about the most important properties of the machine tool for operational conditions during machining process. The new measurement method gives the possibility to prevent inaccuracies in production after regular machine inspection.

  20. Virtual Machine Language 2.1

    Science.gov (United States)

    Riedel, Joseph E.; Grasso, Christopher A.

    2012-01-01

    VML (Virtual Machine Language) is an advanced computing environment that allows spacecraft to operate using mechanisms ranging from simple, time-oriented sequencing to advanced, multicomponent reactive systems. VML has developed in four evolutionary stages. VML 0 is a core execution capability providing multi-threaded command execution, integer data types, and rudimentary branching. VML 1 added named parameterized procedures, extensive polymorphism, data typing, branching, looping issuance of commands using run-time parameters, and named global variables. VML 2 added for loops, data verification, telemetry reaction, and an open flight adaptation architecture. VML 2.1 contains major advances in control flow capabilities for executable state machines. On the resource requirements front, VML 2.1 features a reduced memory footprint in order to fit more capability into modestly sized flight processors, and endian-neutral data access for compatibility with Intel little-endian processors. Sequence packaging has been improved with object-oriented programming constructs and the use of implicit (rather than explicit) time tags on statements. Sequence event detection has been significantly enhanced with multi-variable waiting, which allows a sequence to detect and react to conditions defined by complex expressions with multiple global variables. This multi-variable waiting serves as the basis for implementing parallel rule checking, which in turn, makes possible executable state machines. The new state machine feature in VML 2.1 allows the creation of sophisticated autonomous reactive systems without the need to develop expensive flight software. Users specify named states and transitions, along with the truth conditions required, before taking transitions. Transitions with the same signal name allow separate state machines to coordinate actions: the conditions distributed across all state machines necessary to arm a particular signal are evaluated, and once found true, that

  1. MODEL OF GENERALIZED MACHINE-TOOL

    Directory of Open Access Journals (Sweden)

    Sandu CONSTANTIN

    2017-06-01

    Full Text Available This paper presents a revolutionary and modern concept according to whom the computer can mold and shape a machine tool, generating surfaces of the machined parts with an accuracy of less than 0.01μm. This concept has been verified in many cases as: machining of cylindrical spur gears; machined worm wheel; parallel type worm manufacturing of solids handling pump; centerless grinding machine, some aspects of finishing cylindrical gears by shaving cutter, and so on. Also with the help of this concept can be determined the machining of the parts in conditions of real inaccuracy of the machine and / or vibration.

  2. A Journey from Interpreters to Compilers and Virtual Machines

    DEFF Research Database (Denmark)

    Danvy, Olivier

    2003-01-01

    We review a simple sequence of steps to stage a programming-language interpreter into a compiler and virtual machine. We illustrate the applicability of this derivation with a number of existing virtual machines, mostly for functional languages. We then outline its relevance for todays language...

  3. DESIGN ASPECTS IN MACHINE TOOLS EVOLUTION

    OpenAIRE

    CALOTA Lavinia Alexandra

    2010-01-01

    The paper proposes to present some important aspects in the design evolution of some representative types of machine tools, as the evolution of some basic structural elements which compose machine tools majority. The paper, also, present the aspects regarding the machine tools aesthetics, like a result of shape modeling, bounded by the functional role, and with the possibilities of artistical modeling of the structural-geometrical elements, respecting the essential principles of the compositi...

  4. Making extreme computations possible with virtual machines

    Energy Technology Data Exchange (ETDEWEB)

    Reuter, J.; Chokoufe Nejad, B. [DESY, Hamburg (Germany). Theory Group; Ohl, T. [Wuerzburg Univ. (Germany)

    2016-02-15

    State-of-the-art algorithms generate scattering amplitudes for high-energy physics at leading order for high-multiplicity processes as compiled code (in Fortran, C or C++). For complicated processes the size of these libraries can become tremendous (many GiB). We show that amplitudes can be translated to byte-code instructions, which even reduce the size by one order of magnitude. The byte-code is interpreted by a Virtual Machine with runtimes comparable to compiled code and a better scaling with additional legs. We study the properties of this algorithm, as an extension of the Optimizing Matrix Element Generator (O'Mega). The bytecode matrix elements are available as alternative input for the event generator WHIZARD. The bytecode interpreter can be implemented very compactly, which will help with a future implementation on massively parallel GPUs.

  5. Preserving access to ALEPH computing environment via virtual machines

    Science.gov (United States)

    Coscetti, Simone; Boccali, Tommaso; Maggi, Marcello; Arezzini, Silvia

    2014-06-01

    The ALEPH Collaboration [1] took data at the LEP (CERN) electron-positron collider in the period 1989-2000, producing more than 300 scientific papers. While most of the Collaboration activities stopped in the last years, the data collected still has physics potential, with new theoretical models emerging, which ask checks with data at the Z and WW production energies. An attempt to revive and preserve the ALEPH Computing Environment is presented; the aim is not only the preservation of the data files (usually called bit preservation), but of the full environment a physicist would need to perform brand new analyses. Technically, a Virtual Machine approach has been chosen, using the VirtualBox platform. Concerning simulated events, the full chain from event generators to physics plots is possible, and reprocessing of data events is also functioning. Interactive tools like the DALI event display can be used on both data and simulated events. The Virtual Machine approach is suited for both interactive usage, and for massive computing using Cloud like approaches.

  6. An object-oriented extension for debugging the virtual machine

    Energy Technology Data Exchange (ETDEWEB)

    Pizzi, Jr, Robert G. [Univ. of California, Davis, CA (United States)

    1994-12-01

    A computer is nothing more then a virtual machine programmed by source code to perform a task. The program`s source code expresses abstract constructs which are compiled into some lower level target language. When a virtual machine breaks, it can be very difficult to debug because typical debuggers provide only low-level target implementation information to the software engineer. We believe that the debugging task can be simplified by introducing aspects of the abstract design and data into the source code. We introduce OODIE, an object-oriented extension to programming languages that allows programmers to specify a virtual environment by describing the meaning of the design and data of a virtual machine. This specification is translated into symbolic information such that an augmented debugger can present engineers with a programmable debugging environment specifically tailored for the virtual machine that is to be debugged.

  7. Design of machine tool turntable

    OpenAIRE

    Rygl, Ondřej

    2009-01-01

    Tato bakalářská práce se zabývá konstrukcí otočného stolu obráběcího stroje. V první části jsou popsány základní typy otočných stolů, jednotlivé přístupy při konstrukci pohonu a možnosti použití moderních komponent pro otočné stoly, které trh nabízí. Druhá část práce se věnuje konstrukci otočného stolu s přímým pohonem určeného pro frézku. This bachelor thesis deals with the design of a rotary table for a machine tool. In the first part are described main types of rotary tables, existing a...

  8. LHCb experience with running jobs in virtual machines

    OpenAIRE

    McNab, A; Stagni, F; Luzzi, C

    2015-01-01

    The LHCb experiment has been running production jobs in virtual machines since 2013 as part of its DIRAC-based infrastructure. We describe the architecture of these virtual machines and the steps taken to replicate the WLCG worker node environment expected by user and production jobs. This relies on the uCernVM system for providing root images for virtual machines. We use the CernVM-FS distributed filesystem to supply the root partition files, the LHCb software stack, and the bootstrapping sc...

  9. 3D-e-Chem-VM : Structural Cheminformatics Research Infrastructure in a Freely Available Virtual Machine

    NARCIS (Netherlands)

    McGuire, Ross; Verhoeven, Stefan; Vass, Márton; Vriend, Gerrit; De Esch, Iwan J P; Lusher, Scott J.; Leurs, Rob; Ridder, Lars; Kooistra, Albert J.; Ritschel, Tina; de Graaf, C.

    2017-01-01

    3D-e-Chem-VM is an open source, freely available Virtual Machine ( http://3d-e-chem.github.io/3D-e-Chem-VM/ ) that integrates cheminformatics and bioinformatics tools for the analysis of protein-ligand interaction data. 3D-e-Chem-VM consists of software libraries, and database and workflow tools

  10. Virtualization Security Combining Mandatory Access Control and Virtual Machine Introspection

    OpenAIRE

    Win, Thu Yein; Tianfield, Huaglory; Mair, Quentin

    2014-01-01

    Virtualization has become a target for attacks in cloud computing environments. Existing approaches to protecting the virtualization environment against the attacks are limited in protection scope and are with high overheads. This paper proposes a novel virtualization security solution which aims to provide comprehensive protection of the virtualization environment.

  11. MODEL OF GENERALIZED MACHINE-TOOL

    OpenAIRE

    Sandu CONSTANTIN; Dana TILINA

    2017-01-01

    This paper presents a revolutionary and modern concept according to whom the computer can mold and shape a machine tool, generating surfaces of the machined parts with an accuracy of less than 0.01μm. This concept has been verified in many cases as: machining of cylindrical spur gears; machined worm wheel; parallel type worm manufacturing of solids handling pump; centerless grinding machine, some aspects of finishing cylindrical gears by shaving cutter, and so on. Also with the help of this c...

  12. A self-calibrating robot based upon a virtual machine model of parallel kinematics

    DEFF Research Database (Denmark)

    Pedersen, David Bue; Eiríksson, Eyþór Rúnar; Hansen, Hans Nørgaard

    2016-01-01

    A delta-type parallel kinematics system for Additive Manufacturing has been created, which through a probing system can recognise its geometrical deviations from nominal and compensate for these in the driving inverse kinematic model of the machine. Novelty is that this model is derived from...... a virtual machine of the kinematics system, built on principles from geometrical metrology. Relevant mathematically non-trivial deviations to the ideal machine are identified and decomposed into elemental deviations. From these deviations, a routine is added to a physical machine tool, which allows...... it to recognise its own geometry by probing the vertical offset from tool point to the machine table, at positions in the horizontal plane. After automatic calibration the positioning error of the machine tool was reduced from an initial error after its assembly of ±170 µm to a calibrated error of ±3 µm...

  13. OICS: A Knowledge-based Cloud Manufacturing System for Machine Tool Industry

    Directory of Open Access Journals (Sweden)

    Chi-Yin Lin

    2015-05-01

    Full Text Available In this paper, an Ontology inference cloud service (OICS with auto-scaling capability is designed and implemented for the CNC machine tool industry. The OICS is a knowledge-based cloud manufacturing system, and is used to recommend machine tools and cutting tools based on the Ontology inference techniques. Three core functional modules: the Ontology inference module, the VMT (Virtual Machine Tool module, and the request filtering module, are developed to allow multiple users to perform inference service, and verify the recommended machine tools or cutting tools via VMT simulations. The OICS is implemented and hosted in a cloud virtual machine, called a worker. Furthermore, the worker controller (WCR, is designed to automatically adjust the number of virtual machines to provide users splendid service quality. Finally, we deploy the developed OICS to a public cloud platform, namely Windows Azure, to conduct integrated tests. Testing results of a case study physically applying the OICS to a machine tool factory show that the OICS can successfully recommend suitable machine tools and cutting tools for machining tasks, and support multiple users in a reasonable performance. The results of this paper can be a useful reference for industrial practitioners to construct cloud-based manufacturing systems.

  14. A Real-Time Java Virtual Machine for Avionics (Preprint)

    National Research Council Canada - National Science Library

    Armbruster, Austin; Pla, Edward; Baker, Jason; Cunei, Antonio; Flack, Chapman; Pizlo, Filip; Vitek, Jan; Proch zka, Marek; Holmes, David

    2006-01-01

    ...) in the DARPA Program Composition for Embedded System (PCES) program. Within the scope of PCES, Purdue University and the Boeing Company collaborated on the development of Ovm, an open source implementation of the RTSJ virtual machine...

  15. Method for machining steel with diamond tools

    Science.gov (United States)

    Casstevens, J.M.

    1984-01-01

    The present invention is directed to a method for machine optical quality finishes and contour accuracies of workpieces of carbon-containing metals such as steel with diamond tooling. The wear rate of the diamond tooling is significantly reduced by saturating the atmosphere at the interface of the workpiece and the diamond tool with a gaseous hydrocarbon during the machining operation. The presence of the gaseous hydrocarbon effectively eliminates the deterioration of the diamond tool by inhibiting or preventing the conversion of the diamond carbon to graphite carbon at the point of contact between the cutting tool and the workpiece.

  16. LHCb experience with running jobs in virtual machines

    Science.gov (United States)

    McNab, A.; Stagni, F.; Luzzi, C.

    2015-12-01

    The LHCb experiment has been running production jobs in virtual machines since 2013 as part of its DIRAC-based infrastructure. We describe the architecture of these virtual machines and the steps taken to replicate the WLCG worker node environment expected by user and production jobs. This relies on the uCernVM system for providing root images for virtual machines. We use the CernVM-FS distributed filesystem to supply the root partition files, the LHCb software stack, and the bootstrapping scripts necessary to configure the virtual machines for us. Using this approach, we have been able to minimise the amount of contextualisation which must be provided by the virtual machine managers. We explain the process by which the virtual machine is able to receive payload jobs submitted to DIRAC by users and production managers, and how this differs from payloads executed within conventional DIRAC pilot jobs on batch queue based sites. We describe our operational experiences in running production on VM based sites managed using Vcycle/OpenStack, Vac, and HTCondor Vacuum. Finally we show how our use of these resources is monitored using Ganglia and DIRAC.

  17. LHCb experience with running jobs in virtual machines

    CERN Document Server

    McNab, A; Luzzi, C

    2015-01-01

    The LHCb experiment has been running production jobs in virtual machines since 2013 as part of its DIRAC-based infrastructure. We describe the architecture of these virtual machines and the steps taken to replicate the WLCG worker node environment expected by user and production jobs. This relies on the uCernVM system for providing root images for virtual machines. We use the CernVM-FS distributed filesystem to supply the root partition files, the LHCb software stack, and the bootstrapping scripts necessary to configure the virtual machines for us. Using this approach, we have been able to minimise the amount of contextualisation which must be provided by the virtual machine managers. We explain the process by which the virtual machine is able to receive payload jobs submitted to DIRAC by users and production managers, and how this differs from payloads executed within conventional DIRAC pilot jobs on batch queue based sites. We describe our operational experiences in running production on VM based sites mana...

  18. Virtual simulation tools for artillery

    Science.gov (United States)

    Gozard, Patrick; Bret, Emmanuel; Cathala, Thierry

    2008-04-01

    To perform multi-sensors simulations, the French DGA/DET (Directorate for Technical Evaluation of the French Ministry of Defense) uses CHORALE (simulated Optronic Acoustic Radar battlefield). CHORALE enables the user to create virtual and realistic multi spectral 3D scenes, and generates the physical signal received by one or several sensors, typically an IR sensor or an acoustic sensor. This article presents different kinds of scenario such as desert, urban, campaign place to evaluate intelligent artillery ammunition. The ammunition described has to detect thermal contrast above a target area for the detection capability and firing decision. The scene is as realistic as possible to give to french army good parameters according to their request in a typical operational scenario. That includes background with trees, houses, roads, fields, targets, dunes, with different materials such as grass, sand, rock, wood, concrete... All object in the 3D scene is characterized by optronic parameters used by CHORALE Workbench. The signal provided by this workbench is adapted by AMOCO workbench which allows defining sensor technology. Then a process unit provides the firing decision and the lethality data from the target which has been reached. Each tool is explained to understand the physics phenomena in the scene to take into account atmospheric transmission, radiative parameters of objects and counter-measure devices. Finally, this paper shows results by coupling the operational scenario with sensor model to do a global simulation in order to determine global performances of artillery ammunition.

  19. Refrigerated cutting tools improve machining of superalloys

    Science.gov (United States)

    Dudley, G. M.

    1971-01-01

    Freon-12 applied to tool cutting edge evaporates quickly, leaves no residue, and permits higher cutting rate than with conventional coolants. This technique increases cutting rate on Rene-41 threefold and improves finish of machined surface.

  20. Transition Towards Energy Efficient Machine Tools

    CERN Document Server

    Zein, André

    2012-01-01

    Energy efficiency represents a cost-effective and immediate strategy of a sustainable development. Due to substantial environmental and economic implications, a strong emphasis is put on the electrical energy requirements of machine tools for metalworking processes. The improvement of energy efficiency is however confronted with diverse barriers, which sustain an energy efficiency gap of unexploited potential. The deficiencies lie in the lack of information about the actual energy requirements of machine tools, a minimum energy reference to quantify improvement potential and the possible actions to improve the energy demand. Therefore, a comprehensive concept for energy performance management of machine tools is developed which guides the transition towards energy efficient machine tools. It is structured in four innovative concept modules, which are embedded into step-by-step workflow models. The capability of the performance management concept is demonstrated in an automotive manufacturing environment. The ...

  1. Application of Krylov Reduction Technique for a Machine Tool Multibody Modelling

    Directory of Open Access Journals (Sweden)

    M. Sulitka

    2014-02-01

    Full Text Available Quick calculation of machine tool dynamic response represents one of the major requirements for machine tool virtual modelling and virtual machining, aiming at simulating the machining process performance, quality, and precision of a workpiece. Enhanced time effectiveness in machine tool dynamic simulations may be achieved by employing model order reduction (MOR techniques of the full finite element (FE models. The paper provides a case study aimed at comparison of Krylov subspace base and mode truncation technique. Application of both of the reduction techniques for creating a machine tool multibody model is evaluated. The Krylov subspace reduction technique shows high quality in terms of both dynamic properties of the reduced multibody model and very low time demands at the same time.

  2. Integrated Data Visualization and Virtual Reality Tool

    Science.gov (United States)

    Dryer, David A.

    1998-01-01

    The Integrated Data Visualization and Virtual Reality Tool (IDVVRT) Phase II effort was for the design and development of an innovative Data Visualization Environment Tool (DVET) for NASA engineers and scientists, enabling them to visualize complex multidimensional and multivariate data in a virtual environment. The objectives of the project were to: (1) demonstrate the transfer and manipulation of standard engineering data in a virtual world; (2) demonstrate the effects of design and changes using finite element analysis tools; and (3) determine the training and engineering design and analysis effectiveness of the visualization system.

  3. Managing the Virtual Machine Lifecycle of the CernVM Project

    Science.gov (United States)

    Charalampidis, I.; Blomer, J.; Buncic, P.; Harutyunyan, A.; Larsen, D.

    2012-12-01

    CernVM is a virtual software appliance designed to support the development cycle and provide a runtime environment for LHC applications. It consists of a minimal Linux distribution, a specially tuned file system designed to deliver application software on demand, and contextualization tools. The maintenance of these components involves a variety of different procedures and tools that cannot always connect with each other. Additionally, most of these procedures need to be performed frequently. Currently, in the CernVM project, every time we build a new virtual machine image, we have to perform the whole process manually, because of the heterogeneity of the tools involved. The overall process is error-prone and time-consuming. Therefore, to simplify and aid this continuous maintenance process, we are developing a framework that combines these virtually unrelated tools with a single, coherent interface. To do so, we identified all the involved procedures and their tools, tracked their dependencies and organized them into logical groups (e.g. build, test, instantiate). These groups define the procedures that are performed throughout the lifetime of a virtual machine. In this paper we describe the Virtual Machine Lifecycle and the framework we developed (iAgent) in order to simplify the maintenance process.

  4. Machine Translation Tools - Tools of The Translator's Trade

    DEFF Research Database (Denmark)

    Kastberg, Peter

    2012-01-01

    In this article three of the more common types of translation tools are presented, discussed and critically evaluated. The types of translation tools dealt with in this article are: Fully Automated Machine Translation (or FAMT), Human Aided Machine Translation (or HAMT) and Machine Aided Human...... Translation (or MAHT). The strengths and weaknesses of the different types of tools are discussed and evaluated by means of a number of examples. The article aims at two things: at presenting a sort of state of the art of what is commonly referred to as “machine translation” as well as at providing the reader...... with a sound basis for considering what translation tool (if any) is the most appropriate in order to meet his or her specific translation needs....

  5. Current trends and future of sequential micro-machining processes on a single machine tool

    OpenAIRE

    Chavoshi, S. Z.; Goel, Saurav; Morantz, Paul

    2017-01-01

    A sequential micro-machining process chain is described as the machining strategy whereby two or more micro-machining techniques are implemented in sequence on same or different machine tools. This is in contrast to hybrid micro-machining where two standalone machining technologies are integrated together. A recent surge of interest is geared towards building sequential micro-machining capabilities on a single machine tool to avoid realignment and registration errors between processes. One of...

  6. A portable virtual machine target for proof-carrying code

    DEFF Research Database (Denmark)

    Franz, Michael; Chandra, Deepak; Gal, Andreas

    2005-01-01

    Virtual Machines (VMs) and Proof-Carrying Code (PCC) are two techniques that have been used independently to provide safety for (mobile) code. Existing virtual machines, such as the Java VM, have several drawbacks: First, the effort required for safety verification is considerable. Second and more...... subtly, the need to provide such verification by the code consumer inhibits the amount of optimization that can be performed by the code producer. This in turn makes justin-time compilation surprisingly expensive. Proof-Carrying Code, on the other hand, has its own set of limitations, among which...... simultaneously providing efficient justin-time compilation and target-machine independence. In particular, our approach reduces the complexity of the required proofs, resulting in fewer proof obligations that need to be discharged at the target machine....

  7. Development of Web-based Virtual Training Environment for Machining

    Science.gov (United States)

    Yang, Zhixin; Wong, S. F.

    2010-05-01

    With the booming in the manufacturing sector of shoe, garments and toy, etc. in pearl region, training the usage of various facilities and design the facility layout become crucial for the success of industry companies. There is evidence that the use of virtual training may provide benefits in improving the effect of learning and reducing risk in the physical work environment. This paper proposed an advanced web-based training environment that could demonstrate the usage of a CNC machine in terms of working condition and parameters selection. The developed virtual environment could provide training at junior level and advanced level. Junior level training is to explain machining knowledge including safety factors, machine parameters (ex. material, speed, feed rate). Advanced level training enables interactive programming of NG coding and effect simulation. Operation sequence was used to assist the user to choose the appropriate machining condition. Several case studies were also carried out with animation of milling and turning operations.

  8. System Center 2012 R2 Virtual Machine Manager cookbook

    CERN Document Server

    Cardoso, Edvaldo Alessandro

    2014-01-01

    This book is a step-by-step guide packed with recipes that cover architecture design and planning. The book is also full of deployment tips, techniques, and solutions. If you are a solutions architect, technical consultant, administrator, or any other virtualization enthusiast who needs to use Microsoft System Center Virtual Machine Manager in a real-world environment, then this is the book for you. We assume that you have previous experience with Windows 2012 R2 and Hyper-V.

  9. Program Design Report of the CNC Machine Tool(II)

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jong Kiun; Youm, K. U.; Kim, K. S.; Lee, I. B.; Yoon, K. B.; Lee, C. K.; Youm, J. H

    2007-06-15

    The application of CNC machine tool being widely expanded according to variety of machine work method and rapid promotion of machine tool, cutting tool, for high speed efficient machine work. In order to conduct of the project of manufacture and maintenance of laboratory equipment, production design and machine work technology are continually developed, especially the application of CNC machine tool is very important for the improvement of productivity, quality and clearing up a manpower shortage. We publish technical report which it includes CNC machine tool program and drawing, it contributes to the systematic development of CNC program design and machine work technology.

  10. Program Design Report of the CNC Machine Tool (I)

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jong Kiun; Youm, K. U.; Kim, K. S. (and others)

    2006-08-15

    The application of CNC machine tool being widely expanded according to variety of machine work method and rapid promotion of machine tool, cutting tool, for high speed efficient machine work. In order to conduct of the project of manufacture and maintenance of laboratory equipment, production design and machine work technology are continually developed, especially the application of CNC machine tool is very important for the improvement of productivity, quality and clearing up a manpower shortage. We publish technical report which it includes CNC machine tool program and drawing, it contributes to the systematic development of CNC program design and machine work technology.

  11. Program Design Report of the CNC Machine Tool(III)

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jong Kiun; Youm, K. U.; Kim, K. S.; Lee, I. B.; Yoon, K. B.; Lee, C. K.; Youm, J. H

    2008-08-15

    The application of CNC machine tool being widely expanded according to variety of machine work method and rapid promotion of machine tool, cutting tool, for high speed efficient machine work. In order to conduct of the project of manufacture and maintenance of laboratory equipment, production design and machine work technology are continually developed, especially the application of CNC machine tool is very important for the improvement of productivity, quality and clearing up a manpower shortage. We publish technical report which it includes CNC machine tool program and drawing, it contributes to the systematic development of CNC program design and machine work technology.

  12. Program Design Report of the CNC Machine Tool(IV)

    Energy Technology Data Exchange (ETDEWEB)

    Youm, Ki Un; Lee, I. B.; Youm, J. H

    2009-09-15

    The application of CNC machine tool being widely expanded according to variety of machine work method and rapid promotion of machine tool, cutting tool, for high speed efficient machine work. In order to conduct of the project of manufacture and maintenance of laboratory equipment, production design and machine work technology are continually developed, especially the application of CNC machine tool is very important for the improvement of productivity, quality and clearing up a manpower shortage. We publish technical report which it includes CNC machine tool program and drawing, it contributes to the systematic development of CNC program design and machine work technology.

  13. Virtual Things for Machine Learning Applications

    OpenAIRE

    Bovet, Gérôme; Ridi, Antonio; Hennebert, Jean

    2014-01-01

    International audience; Internet-of-Things (IoT) devices, especially sensors are pro-ducing large quantities of data that can be used for gather-ing knowledge. In this field, machine learning technologies are increasingly used to build versatile data-driven models. In this paper, we present a novel architecture able to ex-ecute machine learning algorithms within the sensor net-work, presenting advantages in terms of privacy and data transfer efficiency. We first argument that some classes of ...

  14. Machine-Tool Technology Instructor's Sourcebook.

    Science.gov (United States)

    Tammer, Anthony M.

    This document lists and annotates commercial and noncommercial resources pertaining to machine-tool technology. Following an introduction that explains how the document came to be written, the subjects of succeeding chapters are (1) periodicals; (2) associations; (3) audiovisual resources, including a subject index; (4) publishers, including a…

  15. SDM applications to machine tools and engines

    Indian Academy of Sciences (India)

    The method of structural dynamic optimization is applied here to two real-life structures, a small two-cylinder, air-cooled gasoline engine and a high speed machine tool. The aim of the first application isthe reduction of the kinematic vibration transmission path composed of a piston-connecting rod, a crankshaft and an ...

  16. Identification and Triage of Compromised Virtual Machines

    Science.gov (United States)

    2014-09-01

    been determined, the possibility exists for other elements of the network to be compromised as well. Confirmation of malware on one machine requires...contract. [Online]. Available: http://www.afcea.org/content/?q=node/13340 [3] McAfee. (2013, Apr. 1). Infographic : The State of Malware 2013

  17. Detecting System of Nested Hardware Virtual Machine Monitor

    Directory of Open Access Journals (Sweden)

    Artem Vladimirovich Iuzbashev

    2015-03-01

    Full Text Available Method of nested hardware virtual machine monitor detection was proposed in this work. The method is based on HVM timing attack. In case of HVM presence in system, the number of different instruction sequences execution time values will increase. We used this property as indicator in our detection.

  18. An incremental anomaly detection model for virtual machines.

    Directory of Open Access Journals (Sweden)

    Hancui Zhang

    Full Text Available Self-Organizing Map (SOM algorithm as an unsupervised learning method has been applied in anomaly detection due to its capabilities of self-organizing and automatic anomaly prediction. However, because of the algorithm is initialized in random, it takes a long time to train a detection model. Besides, the Cloud platforms with large scale virtual machines are prone to performance anomalies due to their high dynamic and resource sharing characters, which makes the algorithm present a low accuracy and a low scalability. To address these problems, an Improved Incremental Self-Organizing Map (IISOM model is proposed for anomaly detection of virtual machines. In this model, a heuristic-based initialization algorithm and a Weighted Euclidean Distance (WED algorithm are introduced into SOM to speed up the training process and improve model quality. Meanwhile, a neighborhood-based searching algorithm is presented to accelerate the detection time by taking into account the large scale and high dynamic features of virtual machines on cloud platform. To demonstrate the effectiveness, experiments on a common benchmark KDD Cup dataset and a real dataset have been performed. Results suggest that IISOM has advantages in accuracy and convergence velocity of anomaly detection for virtual machines on cloud platform.

  19. An incremental anomaly detection model for virtual machines.

    Science.gov (United States)

    Zhang, Hancui; Chen, Shuyu; Liu, Jun; Zhou, Zhen; Wu, Tianshu

    2017-01-01

    Self-Organizing Map (SOM) algorithm as an unsupervised learning method has been applied in anomaly detection due to its capabilities of self-organizing and automatic anomaly prediction. However, because of the algorithm is initialized in random, it takes a long time to train a detection model. Besides, the Cloud platforms with large scale virtual machines are prone to performance anomalies due to their high dynamic and resource sharing characters, which makes the algorithm present a low accuracy and a low scalability. To address these problems, an Improved Incremental Self-Organizing Map (IISOM) model is proposed for anomaly detection of virtual machines. In this model, a heuristic-based initialization algorithm and a Weighted Euclidean Distance (WED) algorithm are introduced into SOM to speed up the training process and improve model quality. Meanwhile, a neighborhood-based searching algorithm is presented to accelerate the detection time by taking into account the large scale and high dynamic features of virtual machines on cloud platform. To demonstrate the effectiveness, experiments on a common benchmark KDD Cup dataset and a real dataset have been performed. Results suggest that IISOM has advantages in accuracy and convergence velocity of anomaly detection for virtual machines on cloud platform.

  20. A.M.T. Machine Tools Limited

    National Research Council Canada - National Science Library

    2005-01-01

    Hydromat Inc. - Rotary Transfer Machines, Trunnion Machines, Automatic Bar Feeders Maschinenfabrik Heinrich Muller HMP - Rotary Swaging Machines, Wire Straightening and Cutting Machines Turmatic Systems Inc...

  1. A nested virtualization tool for information technology practical education.

    Science.gov (United States)

    Pérez, Carlos; Orduña, Juan M; Soriano, Francisco R

    2016-01-01

    A common problem of some information technology courses is the difficulty of providing practical exercises. Although different approaches have been followed to solve this problem, it is still an open issue, specially in security and computer network courses. This paper proposes NETinVM, a tool based on nested virtualization that includes a fully functional lab, comprising several computers and networks, in a single virtual machine. It also analyzes and evaluates how it has been used in different teaching environments. The results show that this tool makes it possible to perform demos, labs and practical exercises, greatly appreciated by the students, that would otherwise be unfeasible. Also, its portability allows to reproduce classroom activities, as well as the students' autonomous work.

  2. ATST telescope mount: telescope of machine tool

    Science.gov (United States)

    Jeffers, Paul; Stolz, Günter; Bonomi, Giovanni; Dreyer, Oliver; Kärcher, Hans

    2012-09-01

    The Advanced Technology Solar Telescope (ATST) will be the largest solar telescope in the world, and will be able to provide the sharpest views ever taken of the solar surface. The telescope has a 4m aperture primary mirror, however due to the off axis nature of the optical layout, the telescope mount has proportions similar to an 8 meter class telescope. The technology normally used in this class of telescope is well understood in the telescope community and has been successfully implemented in numerous projects. The world of large machine tools has developed in a separate realm with similar levels of performance requirement but different boundary conditions. In addition the competitive nature of private industry has encouraged development and usage of more cost effective solutions both in initial capital cost and thru-life operating cost. Telescope mounts move relatively slowly with requirements for high stability under external environmental influences such as wind buffeting. Large machine tools operate under high speed requirements coupled with high application of force through the machine but with little or no external environmental influences. The benefits of these parallel development paths and the ATST system requirements are being combined in the ATST Telescope Mount Assembly (TMA). The process of balancing the system requirements with new technologies is based on the experience of the ATST project team, Ingersoll Machine Tools who are the main contractor for the TMA and MT Mechatronics who are their design subcontractors. This paper highlights a number of these proven technologies from the commercially driven machine tool world that are being introduced to the TMA design. Also the challenges of integrating and ensuring that the differences in application requirements are accounted for in the design are discussed.

  3. Virtual Reality Educational Tool for Human Anatomy.

    Science.gov (United States)

    Izard, Santiago González; Juanes Méndez, Juan A; Palomera, Pablo Ruisoto

    2017-05-01

    Virtual Reality is becoming widespread in our society within very different areas, from industry to entertainment. It has many advantages in education as well, since it allows visualizing almost any object or going anywhere in a unique way. We will be focusing on medical education, and more specifically anatomy, where its use is especially interesting because it allows studying any structure of the human body by placing the user inside each one. By allowing virtual immersion in a body structure such as the interior of the cranium, stereoscopic vision goggles make these innovative teaching technologies a powerful tool for training in all areas of health sciences. The aim of this study is to illustrate the teaching potential of applying Virtual Reality in the field of human anatomy, where it can be used as a tool for education in medicine. A Virtual Reality Software was developed as an educational tool. This technological procedure is based entirely on software which will run in stereoscopic goggles to give users the sensation of being in a virtual environment, clearly showing the different bones and foramina which make up the cranium, and accompanied by audio explanations. Throughout the results the structure of the cranium is described in detailed from both inside and out. Importance of an exhaustive morphological knowledge of cranial fossae is further discussed. Application for the design of microsurgery is also commented.

  4. Virtual Machine-Based Task Scheduling Algorithm in a Cloud Computing Environment

    National Research Council Canada - National Science Library

    Zhifeng Zhong Kun Chen Xiaojun Zhai Shuange Zhou

    2016-01-01

    Virtualization technology has been widely used to virtualize single server into multiple servers, which not only creates an operating environment for a virtual machine-based cloud computing platform...

  5. Automatic Generation of Machine Emulators: Efficient Synthesis of Robust Virtual Machines for Legacy Software Migration

    DEFF Research Database (Denmark)

    Franz, Michael; Gal, Andreas; Probst, Christian

    2006-01-01

    As older mainframe architectures become obsolete, the corresponding le- gacy software is increasingly executed via platform emulators running on top of more modern commodity hardware. These emulators are virtual machines that often include a combination of interpreters and just-in-time compilers....... Implementing interpreters and compilers for each combination of emulated and target platform independently of each other is a redundant and error-prone task. We describe an alternative approach that automatically synthesizes specialized virtual-machine interpreters and just-in-time compilers, which...... then execute on top of an existing software portability platform such as Java. The result is a considerably reduced implementation effort....

  6. Machine tool metrology an industrial handbook

    CERN Document Server

    Smith, Graham T

    2016-01-01

    Maximizing reader insights into the key scientific disciplines of Machine Tool Metrology, this text will prove useful for the industrial-practitioner and those interested in the operation of machine tools. Within this current level of industrial-content, this book incorporates significant usage of the existing published literature and valid information obtained from a wide-spectrum of manufacturers of plant, equipment and instrumentation before putting forward novel ideas and methodologies. Providing easy to understand bullet points and lucid descriptions of metrological and calibration subjects, this book aids reader understanding of the topics discussed whilst adding a voluminous-amount of footnotes utilised throughout all of the chapters, which adds some additional detail to the subject. Featuring an extensive amount of photographic-support, this book will serve as a key reference text for all those involved in the field. .

  7. Parametric programming of CNC machine tools

    Directory of Open Access Journals (Sweden)

    Gołębski Rafał

    2017-01-01

    Full Text Available The article presents the possibilities of parametric programming of CNC machine tools for the SINUMERIK 840D sl control system. The kinds and types of the definition of variables for the control system under discussion described. On the example of the longitudinal cutting cycle, parametric programming possibilities are shown. The program’s code and its implementation in the control system is described in detail. The principle of parametric programming in a high-level language is also explained.

  8. Performance analysis of Xen virtual machines in real-world scenarios

    OpenAIRE

    Heissler, Adrian

    2010-01-01

    This paper presents results of the performance benchmarks of the Open Source hypervisor Xen. The study focuses on the network related performance as well as on the application related performance of multiple virtual machines that were running on the same Xen hypervisor. The comparison was carried out using a self-developed benchmark suite that consists of easily available Open Source tools. The goal is to measure the performance of the hypervisor in typical real-world application scenarios wh...

  9. Analysis and design of virtual synchronous machine based STATCOM controller

    OpenAIRE

    Chi, Li; Burgos, R.; Cvetkovic, I.; Boroyevich, D.; Mili, L.; Rodríguez Cortés, Pedro

    2014-01-01

    this paper extends the virtual synchronous machine (VSM) concept, recently proposed as alternative means to synchronize grid-connected inverters, by developing a VSM-based STATCOM controller operating as synchronous condenser. To this end, a mathematical model is derived and used to analyze the inherent dynamics of the VSM-based STATCOM controller, which are then used to formulate design guidelines that further detach the proposed method from the perceived physical constraints introduced by t...

  10. Ceph cluster creation and management on vagrant virtual machines

    OpenAIRE

    Alami Khalif, Nabil el

    2017-01-01

    Creation of a cloud of LXC containers This project aims to deploy a Ceph Cluster using Vagrant provisioned Virtual machines. The analysis of this Software Defined Storage system will help me out to understand the architecture and functionality of a cloud storage service as Microsft Azure. Currently, I’m working as a Cloud and Infrastructure Consultant at TOKIOTA, SL, so this project would help get the background that I need to get the Microsoft Certifications for Azure and C...

  11. Virtual Machine Introspection Based Malware Behavior Profiling and Family Grouping

    OpenAIRE

    Hsiao, Shun-Wen; Sun, Yeali S.; Chen, Meng Chang

    2017-01-01

    The proliferation of malwares have been attributed to the alternations of a handful of original malware source codes. The malwares alternated from the same origin share some intrinsic behaviors and form a malware family. Expediently, identifying its malware family when a malware is first seen on the Internet can provide useful clues to mitigate the threat. In this paper, a malware profiler (VMP) is proposed to profile the execution behaviors of a malware by leveraging virtual machine introspe...

  12. Keeping you safe by making machine tools safe

    CERN Document Server

    2012-01-01

    CERN’s third safety objective for 2012 concerns the safety of equipment - and machine tools in particular.   There are three prerequisites for ensuring that a machine tool can be used safely: ·      the machine tool must comply with Directive 2009/104/EC, ·      the layout of the workshop must be compliant, and ·      everyone who uses the machine tool must be trained. Provided these conditions are met, the workshop head can grant authorisation to use the machine tool. To fulfil this objective, an inventory of the machine tools must be drawn up and the people responsible for them identified. The HSE Unit's Safety Inspection Service produces compliance reports for the machine tools. In order to meet the third objective set by the Director-General, the section has doubled its capacity to carry out inspections: ...

  13. Towards a generalized energy prediction model for machine tools.

    Science.gov (United States)

    Bhinge, Raunak; Park, Jinkyoo; Law, Kincho H; Dornfeld, David A; Helu, Moneer; Rachuri, Sudarsan

    2017-04-01

    Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based, energy prediction models have been proposed in the past to understand the energy usage pattern of a machine tool. However, uncertainties in both the machine and the operating environment make it difficult to predict the energy consumption of the target machine reliably. Taking advantage of the opportunity to collect extensive, contextual, energy-consumption data, we discuss a data-driven approach to develop an energy prediction model of a machine tool in this paper. First, we present a methodology that can efficiently and effectively collect and process data extracted from a machine tool and its sensors. We then present a data-driven model that can be used to predict the energy consumption of the machine tool for machining a generic part. Specifically, we use Gaussian Process (GP) Regression, a non-parametric machine-learning technique, to develop the prediction model. The energy prediction model is then generalized over multiple process parameters and operations. Finally, we apply this generalized model with a method to assess uncertainty intervals to predict the energy consumed to machine any part using a Mori Seiki NVD1500 machine tool. Furthermore, the same model can be used during process planning to optimize the energy-efficiency of a machining process.

  14. Influence of Process and Machine tool on tolerance

    DEFF Research Database (Denmark)

    De Chiffre, Leonardo

    This note gives a summary of how the process and the machine tool can influence the geometrical tolerances. The note concerns cutting processes and machine tools but many of the considerations can be transferred directly to other types of manufacturing process and machines....

  15. An RTT-Aware Virtual Machine Placement Method

    Directory of Open Access Journals (Sweden)

    Li Quan

    2017-12-01

    Full Text Available Virtualization is a key technology for mobile cloud computing (MCC and the virtual machine (VM is a core component of virtualization. VM provides a relatively independent running environment for different applications. Therefore, the VM placement problem focuses on how to place VMs on optimal physical machines, which ensures efficient use of resources and the quality of service, etc. Most previous work focuses on energy consumption, network traffic between VMs and so on and rarely consider the delay for end users’ requests. In contrast, the latency between requests and VMs is considered in this paper for the scenario of optimal VM placement in MCC. In order to minimize average RTT for all requests, the round-trip time (RTT is first used as the metric for the latency of requests. Based on our proposed RTT metric, an RTT-Aware VM placement algorithm is then proposed to minimize the average RTT. Furthermore, the case in which one of the core switches does not work is considered. A VM rescheduling algorithm is proposed to keep the average RTT lower and reduce the fluctuation of the average RTT. Finally, in the simulation study, our algorithm shows its advantage over existing methods, including random placement, the traffic-aware VM placement algorithm and the remaining utilization-aware algorithm.

  16. Research progress of machine tool thermal error modeling technology

    Directory of Open Access Journals (Sweden)

    Qianjian GUO

    2015-08-01

    Full Text Available During cutting, machine tools are influenced by different heat sources, which induces machine thermal deformation, deviation and thermal error. In different machine errors, thermal error accounts for 40%~70% of total machine errors, which is the main influence factor of machining accuracy. In order to reduce machine thermal error and improve machining precision, there are mainly 3 ways at present: 1 Improving machine thermal stiffness by optimal design of machine structure; 2 Separating heat sources from machine tools; 3 Thermal error compensation, which reduces the influence of thermal distortions by predicting and compensating measures. In order to compensate thermal errors, thermal error modeling is the premise and foundation. Therefore, thermal error modeling technology is introduced in this paper firstly, and its recent development both at home and abroad is analyzed. The main obstacles in thermal error modeling field at present are summerized, and the future of the technology are presented.

  17. Prototyping Faithful Execution in a Java virtual machine.

    Energy Technology Data Exchange (ETDEWEB)

    Tarman, Thomas David; Campbell, Philip LaRoche; Pierson, Lyndon George

    2003-09-01

    This report presents the implementation of a stateless scheme for Faithful Execution, the design for which is presented in a companion report, ''Principles of Faithful Execution in the Implementation of Trusted Objects'' (SAND 2003-2328). We added a simple cryptographic capability to an already simplified class loader and its associated Java Virtual Machine (JVM) to provide a byte-level implementation of Faithful Execution. The extended class loader and JVM we refer to collectively as the Sandia Faithfully Executing Java architecture (or JavaFE for short). This prototype is intended to enable exploration of more sophisticated techniques which we intend to implement in hardware.

  18. The Virtual Physiological Human ToolKit.

    Science.gov (United States)

    Cooper, Jonathan; Cervenansky, Frederic; De Fabritiis, Gianni; Fenner, John; Friboulet, Denis; Giorgino, Toni; Manos, Steven; Martelli, Yves; Villà-Freixa, Jordi; Zasada, Stefan; Lloyd, Sharon; McCormack, Keith; Coveney, Peter V

    2010-08-28

    The Virtual Physiological Human (VPH) is a major European e-Science initiative intended to support the development of patient-specific computer models and their application in personalized and predictive healthcare. The VPH Network of Excellence (VPH-NoE) project is tasked with facilitating interaction between the various VPH projects and addressing issues of common concern. A key deliverable is the 'VPH ToolKit'--a collection of tools, methodologies and services to support and enable VPH research, integrating and extending existing work across Europe towards greater interoperability and sustainability. Owing to the diverse nature of the field, a single monolithic 'toolkit' is incapable of addressing the needs of the VPH. Rather, the VPH ToolKit should be considered more as a 'toolbox' of relevant technologies, interacting around a common set of standards. The latter apply to the information used by tools, including any data and the VPH models themselves, and also to the naming and categorizing of entities and concepts involved. Furthermore, the technologies and methodologies available need to be widely disseminated, and relevant tools and services easily found by researchers. The VPH-NoE has thus created an online resource for the VPH community to meet this need. It consists of a database of tools, methods and services for VPH research, with a Web front-end. This has facilities for searching the database, for adding or updating entries, and for providing user feedback on entries. Anyone is welcome to contribute.

  19. Tools virtualization for command and control systems

    Science.gov (United States)

    Piszczek, Marek; Maciejewski, Marcin; Pomianek, Mateusz; Szustakowski, Mieczysław

    2017-10-01

    Information management is an inseparable part of the command process. The result is that the person making decisions at the command post interacts with data providing devices in various ways. Tools virtualization process can introduce a number of significant modifications in the design of solutions for management and command. The general idea involves replacing physical devices user interface with their digital representation (so-called Virtual instruments). A more advanced level of the systems "digitalization" is to use the mixed reality environments. In solutions using Augmented reality (AR) customized HMI is displayed to the operator when he approaches to each device. Identification of device is done by image recognition of photo codes. Visualization is achieved by (optical) see-through head mounted display (HMD). Control can be done for example by means of a handheld touch panel. Using the immersive virtual environment, the command center can be digitally reconstructed. Workstation requires only VR system (HMD) and access to information network. Operator can interact with devices in such a way as it would perform in real world (for example with the virtual hands). Because of their procedures (an analysis of central vision, eye tracking) MR systems offers another useful feature of reducing requirements for system data throughput. Due to the fact that at the moment we focus on the single device. Experiments carried out using Moverio BT-200 and SteamVR systems and the results of experimental application testing clearly indicate the ability to create a fully functional information system with the use of mixed reality technology.

  20. Stochastic Distribution of Wear of Carbide Tools during Machining ...

    African Journals Online (AJOL)

    The increasing awareness of wear of carbide tools during machining operation has created doubts about the ability of this tool material to withstand stress and strain induced by the machining process. Manufacturers are beginning to question their dependence on carbide tools, seeing that they no longer meet their expected ...

  1. Dynamic Characteristics Analysis of a Micro Grinding Machine Tool

    OpenAIRE

    Li Wei; Li Beizhi; Yang Jianguo

    2017-01-01

    Developing miniaturizedultraprecision machine tools (MUMTs) is a rational approach to manufacture micro/mesoscale mechanical components. The dynamic characteristics of MUMTs can be different from that of conventional machine tools, because of its miniaturized structure, downsized components and more flexible assembly. Their dynamics behaviorneeds to be studied. In this paper, the dynamic characteristics of a verticalultraprecisionmicro grinding machine tool were analyzed. An analysis model wa...

  2. Mobile virtual synchronous machine for vehicle-to-grid applications

    Energy Technology Data Exchange (ETDEWEB)

    Pelczar, Christopher

    2012-03-20

    The Mobile Virtual Synchronous Machine (VISMA) is a power electronics device for Vehicle to Grid (V2G) applications which behaves like an electromechanical synchronous machine and offers the same beneficial properties to the power network, increasing the inertia in the system, stabilizing the grid voltage, and providing a short-circuit current in case of grid faults. The VISMA performs a real-time simulation of a synchronous machine and calculates the phase currents that an electromagnetic synchronous machine would produce under the same local grid conditions. An inverter with a current controller feeds the currents calculated by the VISMA into the grid. In this dissertation, the requirements for a machine model suitable for the Mobile VISMA are set, and a mathematical model suitable for use in the VISMA algorithm is found and tested in a custom-designed simulation environment prior to implementation on the Mobile VISMA hardware. A new hardware architecture for the Mobile VISMA based on microcontroller and FPGA technologies is presented, and experimental hardware is designed, implemented, and tested. The new architecture is designed in such a way that allows reducing the size and cost of the VISMA, making it suitable for installation in an electric vehicle. A simulation model of the inverter hardware and hysteresis current controller is created, and the simulations are verified with various experiments. The verified model is then used to design a new type of PWM-based current controller for the Mobile VISMA. The performance of the hysteresis- and PWM-based current controllers is evaluated and compared for different operational modes of the VISMA and configurations of the inverter hardware. Finally, the behavior of the VISMA during power network faults is examined. A desired behavior of the VISMA during network faults is defined, and experiments are performed which verify that the VISMA, inverter hardware, and current controllers are capable of supporting this

  3. Issues of Application of Machine Learning Models for Virtual and Real-Life Buildings

    Directory of Open Access Journals (Sweden)

    Young Min Kim

    2016-06-01

    Full Text Available The current Building Energy Performance Simulation (BEPS tools are based on first principles. For the correct use of BEPS tools, simulationists should have an in-depth understanding of building physics, numerical methods, control logics of building systems, etc. However, it takes significant time and effort to develop a first principles-based simulation model for existing buildings—mainly due to the laborious process of data gathering, uncertain inputs, model calibration, etc. Rather than resorting to an expert’s effort, a data-driven approach (so-called “inverse” approach has received growing attention for the simulation of existing buildings. This paper reports a cross-comparison of three popular machine learning models (Artificial Neural Network (ANN, Support Vector Machine (SVM, and Gaussian Process (GP for predicting a chiller’s energy consumption in a virtual and a real-life building. The predictions based on the three models are sufficiently accurate compared to the virtual and real measurements. This paper addresses the following issues for the successful development of machine learning models: reproducibility, selection of inputs, training period, outlying data obtained from the building energy management system (BEMS, and validation of the models. From the result of this comparative study, it was found that SVM has a disadvantage in computation time compared to ANN and GP. GP is the most sensitive to a training period among the three models.

  4. A novel ultrasonic surface machining tool utilizing elastic traveling waves.

    Science.gov (United States)

    Ji, Ruinan; Jin, Jiamei; Wang, Liang; Zhang, Jianhui

    2017-09-01

    With the rapid development of modern industrial technology and high performance technology products, ultra-precision machining technology becomes increasingly important. However, joint clearance of kinematic pairs, lack of feeding accuracy and overlarge contact stress still limit the further improvement of ultra-precision machining technology. In this study, a novel surface machining method utilizing structural elastic waves was proposed, and a machining tool using the piezoelectric actuating principle was presented for verifying the proposed method. Two vibration modes with a phase shift of π/2 in both space and time domains are exited simultaneously in the elliptical motion of points on the structural surface. By means of adjusting driving signal parameters, such as frequency, voltage amplitude and phase shift, different machining performances could be achieved. The configuration and working vibration modes of the proposed machining tool were firstly calculated by the finite element method, and then the optimal working frequency of the machining tool prototype was determined by vibration characteristic experiments. At last, machining characteristic experiments were conducted to validate the proposed machining method. Experimental results showed that the minimum working contact force between the machining tool and workpiece was 1N, and the chipped depth of 1.93μm was achieved at the same contact force after machining for 5min. And at the conditions of the contact force of 6N, two driving voltages of 400V pp with a phase shift of π/2, and machining time of 5min, the prototype could achieve to machine the workpiece most efficiently and the roughness of the machined workpiece surface could be reached approximating 0.20μm. In conclusion, this proposed machining method could achieve a good quality machined surface with low residual stress and little damage by applying low contact force. Furthermore, it also had the advantage of no joint clearance error due to no

  5. Modular reconfigurable machine tools: design, control and evaluation

    CSIR Research Space (South Africa)

    Padayachee, J

    2009-11-01

    Full Text Available machine (MRM) tools as a novel machining solution within the scope of RMS. Mechanical and control designs are presented, outlining the development of this novel machining system. The property of hardware modularity displayed by MRMs enables an adjustment...

  6. THE MACHINING OF HARDENED CARBON STEELS BY COATED CUTTING TOOLS

    Directory of Open Access Journals (Sweden)

    Yusuf ŞAHİN

    2001-02-01

    Full Text Available The investigation of machining AISI 1050 carbon steels hardened to the 60 HRC hardness was carried out to determine the tool life and wear behaviour of the various cutting tools under different conditions. These experiments were conducted at using coated ceramic cutting tools and carbide cutting tools. The experimental results showed that the coated ceramic tools exhibited better performance than those of the coated carbide tools when machining the hardened steels. Moreover, wear behaviour of cutting tools were investigated in a scanning electron microscope. Electron microscopic examination also indicated that flank wear, thermal cracks on the tool nose combined with the nose deformation on the tools were responsible for the wear behaviour of the ceramic tools. For the carbide tools, however, removal of coated material from the substrate tool and combined with the crater wear were effective for the machining the hardened steel.

  7. Virtual machine migration in an over-committed cloud

    KAUST Repository

    Zhang, Xiangliang

    2012-04-01

    While early emphasis of Infrastructure as a Service (IaaS) clouds was on providing resource elasticity to end users, providers are increasingly interested in over-committing their resources to maximize the utilization and returns of their capital investments. In principle, over-committing resources hedges that users - on average - only need a small portion of their leased resources. When such hedge fails (i.e., resource demand far exceeds available physical capacity), providers must mitigate this provider-induced overload, typically by migrating virtual machines (VMs) to underutilized physical machines. Recent works on VM placement and migration assume the availability of target physical machines [1], [2]. However, in an over-committed cloud data center, this is not the case. VM migration can even trigger cascading overloads if performed haphazardly. In this paper, we design a new VM migration algorithm (called Scattered) that minimizes VM migrations in over-committed data centers. Compared to a traditional implementation, our algorithm can balance host utilization across all time epochs. Using real-world data traces from an enterprise cloud, we show that our migration algorithm reduces the risk of overload, minimizes the number of needed migrations, and has minimal impact on communication cost between VMs. © 2012 IEEE.

  8. Prediction Based Proactive Thermal Virtual Machine Scheduling in Green Clouds

    Directory of Open Access Journals (Sweden)

    Supriya Kinger

    2014-01-01

    Full Text Available Cloud computing has rapidly emerged as a widely accepted computing paradigm, but the research on Cloud computing is still at an early stage. Cloud computing provides many advanced features but it still has some shortcomings such as relatively high operating cost and environmental hazards like increasing carbon footprints. These hazards can be reduced up to some extent by efficient scheduling of Cloud resources. Working temperature on which a machine is currently running can be taken as a criterion for Virtual Machine (VM scheduling. This paper proposes a new proactive technique that considers current and maximum threshold temperature of Server Machines (SMs before making scheduling decisions with the help of a temperature predictor, so that maximum temperature is never reached. Different workload scenarios have been taken into consideration. The results obtained show that the proposed system is better than existing systems of VM scheduling, which does not consider current temperature of nodes before making scheduling decisions. Thus, a reduction in need of cooling systems for a Cloud environment has been obtained and validated.

  9. Prediction Based Proactive Thermal Virtual Machine Scheduling in Green Clouds

    Science.gov (United States)

    Kinger, Supriya; Kumar, Rajesh; Sharma, Anju

    2014-01-01

    Cloud computing has rapidly emerged as a widely accepted computing paradigm, but the research on Cloud computing is still at an early stage. Cloud computing provides many advanced features but it still has some shortcomings such as relatively high operating cost and environmental hazards like increasing carbon footprints. These hazards can be reduced up to some extent by efficient scheduling of Cloud resources. Working temperature on which a machine is currently running can be taken as a criterion for Virtual Machine (VM) scheduling. This paper proposes a new proactive technique that considers current and maximum threshold temperature of Server Machines (SMs) before making scheduling decisions with the help of a temperature predictor, so that maximum temperature is never reached. Different workload scenarios have been taken into consideration. The results obtained show that the proposed system is better than existing systems of VM scheduling, which does not consider current temperature of nodes before making scheduling decisions. Thus, a reduction in need of cooling systems for a Cloud environment has been obtained and validated. PMID:24737962

  10. A Virtual Sensor for Online Fault Detection of Multitooth-Tools

    Directory of Open Access Journals (Sweden)

    Andres Bustillo

    2011-03-01

    Full Text Available The installation of suitable sensors close to the tool tip on milling centres is not possible in industrial environments. It is therefore necessary to design virtual sensors for these machines to perform online fault detection in many industrial tasks. This paper presents a virtual sensor for online fault detection of multitooth tools based on a Bayesian classifier. The device that performs this task applies mathematical models that function in conjunction with physical sensors. Only two experimental variables are collected from the milling centre that performs the machining operations: the electrical power consumption of the feed drive and the time required for machining each workpiece. The task of achieving reliable signals from a milling process is especially complex when multitooth tools are used, because each kind of cutting insert in the milling centre only works on each workpiece during a certain time window. Great effort has gone into designing a robust virtual sensor that can avoid re-calibration due to, e.g., maintenance operations. The virtual sensor developed as a result of this research is successfully validated under real conditions on a milling centre used for the mass production of automobile engine crankshafts. Recognition accuracy, calculated with a k-fold cross validation, had on average 0.957 of true positives and 0.986 of true negatives. Moreover, measured accuracy was 98%, which suggests that the virtual sensor correctly identifies new cases.

  11. A Virtual Sensor for Online Fault Detection of Multitooth-Tools

    Science.gov (United States)

    Bustillo, Andres; Correa, Maritza; Reñones, Anibal

    2011-01-01

    The installation of suitable sensors close to the tool tip on milling centres is not possible in industrial environments. It is therefore necessary to design virtual sensors for these machines to perform online fault detection in many industrial tasks. This paper presents a virtual sensor for online fault detection of multitooth tools based on a Bayesian classifier. The device that performs this task applies mathematical models that function in conjunction with physical sensors. Only two experimental variables are collected from the milling centre that performs the machining operations: the electrical power consumption of the feed drive and the time required for machining each workpiece. The task of achieving reliable signals from a milling process is especially complex when multitooth tools are used, because each kind of cutting insert in the milling centre only works on each workpiece during a certain time window. Great effort has gone into designing a robust virtual sensor that can avoid re-calibration due to, e.g., maintenance operations. The virtual sensor developed as a result of this research is successfully validated under real conditions on a milling centre used for the mass production of automobile engine crankshafts. Recognition accuracy, calculated with a k-fold cross validation, had on average 0.957 of true positives and 0.986 of true negatives. Moreover, measured accuracy was 98%, which suggests that the virtual sensor correctly identifies new cases. PMID:22163766

  12. IMPACT TESTS OF MICROMILLING TOOL MOUNTED IN MICROMILLING MACHINE SPINDLE

    Directory of Open Access Journals (Sweden)

    Marcin MATUSZAK

    2012-07-01

    Full Text Available Method of performing impact test of tool mounted in micromilling machine spindle is presented. Due to very small tool dimensions performing impact test in classical way is impossible. Accelerometer cannot be used for impulse response measurement. For measurement of tool displacement laser vibrometer is used. Frequency response function was measured in two directions in seven points of micromilling tool. Additionally frequency response function in three points of machine spindle is measured. Resonant frequencies and their amplitude for points on tool and on machine spindle are compared. Results of performed impact tests are shown. Conclusions arising from performed impact tests are presented.

  13. Design principles of metal-cutting machine tools

    CERN Document Server

    Koenigsberger, F

    1964-01-01

    Design Principles of Metal-Cutting Machine Tools discusses the fundamentals aspects of machine tool design. The book covers the design consideration of metal-cutting machine, such as static and dynamic stiffness, operational speeds, gearboxes, manual, and automatic control. The text first details the data calculation and the general requirements of the machine tool. Next, the book discusses the design principles, which include stiffness and rigidity of the separate constructional elements and their combined behavior under load, as well as electrical, mechanical, and hydraulic drives for the op

  14. Design analysis of machine tool structure with artificial granite material

    Directory of Open Access Journals (Sweden)

    Tsung-Chia Chen

    2016-06-01

    Full Text Available Artificial granite material has been used for construction of the high-precision machine due to superior damping ability. However, its lower material stiffness also lessens the application in fabrication of the machine tool. The purpose of this study was therefore aimed to verify the structure performance of the machine tool reformed with artificial granite material, instead of the casting iron. To gain insight into the optimized configuration of the vertical columns and spindle head stock, the static and dynamic characteristics of the machine models with cast iron and granite composites were predicted for comparison. With this, evaluations of the machine with different design were made to examine the experimental measurements on the prototype machine. According to the simulation results and experimental measurements, the static stiffness of the machine tool reformed with granite material is comparable to the original casting machine, differed by 8% approximately. However, granite machine shows superior dynamic stiffness, about 0.5–1.3 times of the conventional casting machine. This study verifies the feasibility and effectiveness in fabrication of the machine tool with the artificial composite material and provides the improvements for further fabrications.

  15. Study of Immune-Based Intrusion Detection Technology in Virtual Machines for Cloud Computing Environment

    Directory of Open Access Journals (Sweden)

    Ruirui Zhang

    2017-01-01

    Full Text Available Cloud computing platforms are usually based on virtual machines as the underlying architecture; the security of virtual machine systems is the core of cloud computing security. This paper presents an immune-based intrusion detection model in virtual machines of cloud computing environment, denoted as IB-IDS, to ensure the safety of user-level applications in client virtual machines. In the model, system call sequences and their parameters of processes are used, and environment information in the client virtual machines is extracted. Then the model simulates immune responses to ensure the state of user-level programs, which can detect attacks on the dynamic runtime of applications and has high real-time performance. There are five modules in the model: antigen presenting module, signal acquisition module, immune response module, signal measurement module, and information monitoring module, which are distributed into different levels of virtual machine environment. Performance analysis and experimental results show that the model brings a small performance overhead for the virtual machine system and has a good detection performance. It is applicable to judge the state of user-level application in guest virtual machine, and it is feasible to use it to increase the user-level security in software services of cloud computing platform.

  16. Data Visualization Using Immersive Virtual Reality Tools

    Science.gov (United States)

    Cioc, Alexandru; Djorgovski, S. G.; Donalek, C.; Lawler, E.; Sauer, F.; Longo, G.

    2013-01-01

    The growing complexity of scientific data poses serious challenges for an effective visualization. Data sets, e.g., catalogs of objects detected in sky surveys, can have a very high dimensionality, ~ 100 - 1000. Visualizing such hyper-dimensional data parameter spaces is essentially impossible, but there are ways of visualizing up to ~ 10 dimensions in a pseudo-3D display. We have been experimenting with the emerging technologies of immersive virtual reality (VR) as a platform for a scientific, interactive, collaborative data visualization. Our initial experiments used the virtual world of Second Life, and more recently VR worlds based on its open source code, OpenSimulator. There we can visualize up to ~ 100,000 data points in ~ 7 - 8 dimensions (3 spatial and others encoded as shapes, colors, sizes, etc.), in an immersive virtual space where scientists can interact with their data and with each other. We are now developing a more scalable visualization environment using the popular (practically an emerging standard) Unity 3D Game Engine, coded using C#, JavaScript, and the Unity Scripting Language. This visualization tool can be used through a standard web browser, or a standalone browser of its own. Rather than merely plotting data points, the application creates interactive three-dimensional objects of various shapes, colors, and sizes, and of course the XYZ positions, encoding various dimensions of the parameter space, that can be associated interactively. Multiple users can navigate through this data space simultaneously, either with their own, independent vantage points, or with a shared view. At this stage ~ 100,000 data points can be easily visualized within seconds on a simple laptop. The displayed data points can contain linked information; e.g., upon a clicking on a data point, a webpage with additional information can be rendered within the 3D world. A range of functionalities has been already deployed, and more are being added. We expect to make this

  17. Dynamic Characteristics Analysis of a Micro Grinding Machine Tool

    Directory of Open Access Journals (Sweden)

    Li Wei

    2017-01-01

    Full Text Available Developing miniaturizedultraprecision machine tools (MUMTs is a rational approach to manufacture micro/mesoscale mechanical components. The dynamic characteristics of MUMTs can be different from that of conventional machine tools, because of its miniaturized structure, downsized components and more flexible assembly. Their dynamics behaviorneeds to be studied. In this paper, the dynamic characteristics of a verticalultraprecisionmicro grinding machine tool were analyzed. An analysis model was established based on finite element method(FEM. Modal analysis was then conducted to obtain vibration mode characteristics of the machine tool, and then the harmonic response analysis was applied to machine tool for verifying its mechanical behaviour. This work helps MUMT developers make a better product at the early design stage with lower cost and development time

  18. BioImg.org: A Catalog of Virtual Machine Images for the Life Sciences.

    Science.gov (United States)

    Dahlö, Martin; Haziza, Frédéric; Kallio, Aleksi; Korpelainen, Eija; Bongcam-Rudloff, Erik; Spjuth, Ola

    2015-01-01

    Virtualization is becoming increasingly important in bioscience, enabling assembly and provisioning of complete computer setups, including operating system, data, software, and services packaged as virtual machine images (VMIs). We present an open catalog of VMIs for the life sciences, where scientists can share information about images and optionally upload them to a server equipped with a large file system and fast Internet connection. Other scientists can then search for and download images that can be run on the local computer or in a cloud computing environment, providing easy access to bioinformatics environments. We also describe applications where VMIs aid life science research, including distributing tools and data, supporting reproducible analysis, and facilitating education. BioImg.org is freely available at: https://bioimg.org.

  19. A NOVEL HEURISTICS BASED ENERGY AND SLA EFFICIENT VIRTUAL MACHINE CONSOLIDATION IN CLOUD DATA CENTER

    OpenAIRE

    S. R. Jeya Praveena; Dr. P. Keerthika; V. Sivaranjani

    2017-01-01

    The cloud computing infrastructure provides several on-demand services. It is a pay-per-use model. A key issue for cloud providers is to maximize their profits by minimizing power consumption along with Service Level Agreement. Dynamic Virtual Machine consolidation is an approach for reducing energy consumption by dynamically adjusting the number of active machines to matched resources in data centers. The Service Level Agreement and energy-efficient dynamic virtual machine consolidation is p...

  20. Study of on-machine error identification and compensation methods for micro machine tools

    Science.gov (United States)

    Wang, Shih-Ming; Yu, Han-Jen; Lee, Chun-Yi; Chiu, Hung-Sheng

    2016-08-01

    Micro machining plays an important role in the manufacturing of miniature products which are made of various materials with complex 3D shapes and tight machining tolerance. To further improve the accuracy of a micro machining process without increasing the manufacturing cost of a micro machine tool, an effective machining error measurement method and a software-based compensation method are essential. To avoid introducing additional errors caused by the re-installment of the workpiece, the measurement and compensation method should be on-machine conducted. In addition, because the contour of a miniature workpiece machined with a micro machining process is very tiny, the measurement method should be non-contact. By integrating the image re-constructive method, camera pixel correction, coordinate transformation, the error identification algorithm, and trajectory auto-correction method, a vision-based error measurement and compensation method that can on-machine inspect the micro machining errors and automatically generate an error-corrected numerical control (NC) program for error compensation was developed in this study. With the use of the Canny edge detection algorithm and camera pixel calibration, the edges of the contour of a machined workpiece were identified and used to re-construct the actual contour of the work piece. The actual contour was then mapped to the theoretical contour to identify the actual cutting points and compute the machining errors. With the use of a moving matching window and calculation of the similarity between the actual and theoretical contour, the errors between the actual cutting points and theoretical cutting points were calculated and used to correct the NC program. With the use of the error-corrected NC program, the accuracy of a micro machining process can be effectively improved. To prove the feasibility and effectiveness of the proposed methods, micro-milling experiments on a micro machine tool were conducted, and the results

  1. Data Mining Practical Machine Learning Tools and Techniques

    CERN Document Server

    Witten, Ian H; Hall, Mark A

    2011-01-01

    Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place

  2. Volumetric Verification of Multiaxis Machine Tool Using Laser Tracker

    Directory of Open Access Journals (Sweden)

    Sergio Aguado

    2014-01-01

    Full Text Available This paper aims to present a method of volumetric verification in machine tools with linear and rotary axes using a laser tracker. Beyond a method for a particular machine, it presents a methodology that can be used in any machine type. Along this paper, the schema and kinematic model of a machine with three axes of movement, two linear and one rotational axes, including the measurement system and the nominal rotation matrix of the rotational axis are presented. Using this, the machine tool volumetric error is obtained and nonlinear optimization techniques are employed to improve the accuracy of the machine tool. The verification provides a mathematical, not physical, compensation, in less time than other methods of verification by means of the indirect measurement of geometric errors of the machine from the linear and rotary axes. This paper presents an extensive study about the appropriateness and drawbacks of the regression function employed depending on the types of movement of the axes of any machine. In the same way, strengths and weaknesses of measurement methods and optimization techniques depending on the space available to place the measurement system are presented. These studies provide the most appropriate strategies to verify each machine tool taking into consideration its configuration and its available work space.

  3. Traceability of On-Machine Tool Measurement: A Review

    Directory of Open Access Journals (Sweden)

    Unai Mutilba

    2017-07-01

    Full Text Available Nowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power need complex and accurate components that demand close measurements and fast feedback into their manufacturing processes. New measuring technologies are already available in machine tools, including integrated touch probes and fast interface capabilities. They provide the possibility to measure the workpiece in-machine during or after its manufacture, maintaining the original setup of the workpiece and avoiding the manufacturing process from being interrupted to transport the workpiece to a measuring position. However, the traceability of the measurement process on a machine tool is not ensured yet and measurement data is still not fully reliable enough for process control or product validation. The scientific objective is to determine the uncertainty on a machine tool measurement and, therefore, convert it into a machine integrated traceable measuring process. For that purpose, an error budget should consider error sources such as the machine tools, components under measurement and the interactions between both of them. This paper reviews all those uncertainty sources, being mainly focused on those related to the machine tool, either on the process of geometric error assessment of the machine or on the technology employed to probe the measurand.

  4. Traceability of On-Machine Tool Measurement: A Review

    Science.gov (United States)

    Gomez-Acedo, Eneko; Kortaberria, Gorka; Olarra, Aitor

    2017-01-01

    Nowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power need complex and accurate components that demand close measurements and fast feedback into their manufacturing processes. New measuring technologies are already available in machine tools, including integrated touch probes and fast interface capabilities. They provide the possibility to measure the workpiece in-machine during or after its manufacture, maintaining the original setup of the workpiece and avoiding the manufacturing process from being interrupted to transport the workpiece to a measuring position. However, the traceability of the measurement process on a machine tool is not ensured yet and measurement data is still not fully reliable enough for process control or product validation. The scientific objective is to determine the uncertainty on a machine tool measurement and, therefore, convert it into a machine integrated traceable measuring process. For that purpose, an error budget should consider error sources such as the machine tools, components under measurement and the interactions between both of them. This paper reviews all those uncertainty sources, being mainly focused on those related to the machine tool, either on the process of geometric error assessment of the machine or on the technology employed to probe the measurand. PMID:28696358

  5. New active machine tool drive mounting on the frame

    Directory of Open Access Journals (Sweden)

    Švéda J.

    2007-10-01

    Full Text Available The paper deals with the new active mounting of the machine tool drives. The commonly used machine tools are at this time mainly equipped with fix-mounting of the feed drives. This structure causes full transmission of the force shocks to the machine bed and thereby restricts the dynamic properties of the motion axis and the whole machine. The spring-mounting of the feed drives is one of the possibilities how to partially suppress the vibrations. The force that reacts to the machine tool bed is transformed thereby the vibrations are lightly reduced. Unfortunately the transformation is not fully controlled. The new active mounting of the machine tool drives allows to fully control the force behaviour that react to the machine body. Thereby the number of excited frequencies on the machine tool bed is significantly reduced. The active variant of the feed drive mounting is characterized by the synergistic cooperation between two series-connected actuators (“motor on motor”. The paper briefly describes design, control techniques and optimization of the feed drives with the new active mounting conception.

  6. Traceability of On-Machine Tool Measurement: A Review.

    Science.gov (United States)

    Mutilba, Unai; Gomez-Acedo, Eneko; Kortaberria, Gorka; Olarra, Aitor; Yagüe-Fabra, Jose A

    2017-07-11

    Nowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power need complex and accurate components that demand close measurements and fast feedback into their manufacturing processes. New measuring technologies are already available in machine tools, including integrated touch probes and fast interface capabilities. They provide the possibility to measure the workpiece in-machine during or after its manufacture, maintaining the original setup of the workpiece and avoiding the manufacturing process from being interrupted to transport the workpiece to a measuring position. However, the traceability of the measurement process on a machine tool is not ensured yet and measurement data is still not fully reliable enough for process control or product validation. The scientific objective is to determine the uncertainty on a machine tool measurement and, therefore, convert it into a machine integrated traceable measuring process. For that purpose, an error budget should consider error sources such as the machine tools, components under measurement and the interactions between both of them. This paper reviews all those uncertainty sources, being mainly focused on those related to the machine tool, either on the process of geometric error assessment of the machine or on the technology employed to probe the measurand.

  7. Implementing Machine Learning in the PCWG Tool

    Energy Technology Data Exchange (ETDEWEB)

    Clifton, Andrew; Ding, Yu; Stuart, Peter

    2016-12-13

    The Power Curve Working Group (www.pcwg.org) is an ad-hoc industry-led group to investigate the performance of wind turbines in real-world conditions. As part of ongoing experience-sharing exercises, machine learning has been proposed as a possible way to predict turbine performance. This presentation provides some background information about machine learning and how it might be implemented in the PCWG exercises.

  8. A Method for Design of Modular Reconfigurable Machine Tools

    Directory of Open Access Journals (Sweden)

    Zhengyi Xu

    2017-02-01

    Full Text Available Presented in this paper is a method for the design of modular reconfigurable machine tools (MRMTs. An MRMT is capable of using a minimal number of modules through reconfiguration to perform the required machining tasks for a family of parts. The proposed method consists of three steps: module identification, module determination, and layout synthesis. In the first step, the module components are collected from a family of general-purpose machines to establish a module library. In the second step, for a given family of parts to be machined, a set of needed modules are selected from the module library to construct a desired reconfigurable machine tool. In the third step, a final machine layout is decided though evaluation by considering a number of performance indices. Based on this method, a software package has been developed that can design an MRMT for a given part family.

  9. ANALYTICAL INTELLIGENCE TOOLS FOR MULTICRITERIAL DIAGNOSTICS OF CNC MACHINES

    Directory of Open Access Journals (Sweden)

    Ivan Kuric

    2016-12-01

    Full Text Available Analytical Intelligence is a set of methods and tools for acquisition and transformation of raw data into meaningful and useful information. Multicriterial diagnostics is an approach to obtain a real status of machining process just in time and produce a big pile of raw data. The paper presents a scheme of utilisation of analytical intelligence tools in multicriterial diagnostic of CNC machine tools. It is an effort to obtain a complex perception about all influences represented with measured data on machine precision.

  10. Simulation Tools for Electrical Machines Modelling: Teaching and ...

    African Journals Online (AJOL)

    Simulation tools are used both for research and teaching to allow a good comprehension of the systems under study before practical implementations. This paper illustrates the way MATLAB is used to model non-linearites in synchronous machine. The machine is modeled in rotor reference frame with currents as state ...

  11. Virtual model of 6-axis bevel and hypoid milling machine

    OpenAIRE

    Skawinski, P.

    2009-01-01

    CNC машина механізму похилої поверхні спіралі, керована в 6-осях, була проаналізована в цій статті. CNC машини дозволяють вирізувати спіраль і гіноїдні косі механізми незалежно від різальної системи, з індексацією або без індексаціїю Віртуальну модель 6-осної CNC машини було створено. The CNC spiral bevel gear machine controlled in 6-axis in this paper. The CNC machines allow to cut spiral and hypoid bevel gears indepedently of the cutting system, with indexing or without indexind. Virtual mo...

  12. Getting a handle on virtual tools: An examination of the neuronal activity associated with virtual tool use.

    Science.gov (United States)

    Rallis, Austin; Fercho, Kelene A; Bosch, Taylor J; Baugh, Lee A

    2018-01-31

    Tool use is associated with three visual streams-dorso-dorsal, ventro-dorsal, and ventral visual streams. These streams are involved in processing online motor planning, action semantics, and tool semantics features, respectively. Little is known about the way in which the brain represents virtual tools. To directly assess this question, a virtual tool paradigm was created that provided the ability to manipulate tool components in isolation of one another. During functional magnetic resonance imaging (fMRI), adult participants performed a series of virtual tool manipulation tasks in which vision and movement kinematics of the tool were manipulated. Reaction time and hand movement direction were monitored while the tasks were performed. Functional imaging revealed that activity within all three visual streams was present, in a similar pattern to what would be expected with physical tool use. However, a previously unreported network of right-hemisphere activity was found including right inferior parietal lobule, middle and superior temporal gyri and supramarginal gyrus - regions well known to be associated with tool processing within the left hemisphere. These results provide evidence that both virtual and physical tools are processed within the same brain regions, though virtual tools recruit bilateral tool processing regions to a greater extent than physical tools. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. A general thermal model of machine tool spindle

    OpenAIRE

    Yanfang Dong; Zude Zhou; Mingyao Liu

    2017-01-01

    As the core component of machine tool, the thermal characteristics of the spindle have a significant influence on machine tool running status. Lack of an accurate model of the spindle system, particularly the model of load–deformation coefficient between the bearing rolling elements and rings, severely limits the thermal error analytic precision of the spindle. In this article, bearing internal loads, especially the function relationships between the principal curvature difference F(ρ) and au...

  14. Tool path strategy and cutting process monitoring in intelligent machining

    Science.gov (United States)

    Chen, Ming; Wang, Chengdong; An, Qinglong; Ming, Weiwei

    2017-11-01

    Intelligent machining is a current focus in advanced manufacturing technology, and is characterized by high accuracy and efficiency. A central technology of intelligent machining—the cutting process online monitoring and optimization—is urgently needed for mass production. In this research, the cutting process online monitoring and optimization in jet engine impeller machining, cranio-maxillofacial surgery, and hydraulic servo valve deburring are introduced as examples of intelligent machining. Results show that intelligent tool path optimization and cutting process online monitoring are efficient techniques for improving the efficiency, quality, and reliability of machining.

  15. SIMULATION TOOLS FOR ELECTRICAL MACHINES MODELLING ...

    African Journals Online (AJOL)

    Dr Obe

    [10]D.W. Marquardt, "An Algorithm for least-square estimation of non-linear parameters" J Soc. Ind. Appl. Math, voI.1l, No.2, June 1963,pp.431-441. [11] Peter Vas, Electrical machines and drives-A space vector theory approach, Clarendon Press,. Oxford, 1992. [12] MATLAB User's Guide. The Mathworks, Inc,. Natick, 199l.

  16. SIMULATION TOOLS FOR ELECTRICAL MACHINES MODELLING ...

    African Journals Online (AJOL)

    Dr Obe

    This paper illustrates the way MATLAB is used to model non-linearites in synchronous ... Keywords: Asynchronous machine; MATLAB scripts; engineering education; skin-effect; saturation effect; dynamic behavour. 1.0 Introduction .... algorithm of Marquardt [10] is employed. In figure 1, the estimated function becomes,.

  17. A Reference Model for Virtual Machine Launching Overhead

    Energy Technology Data Exchange (ETDEWEB)

    Wu, Hao; Ren, Shangping; Garzoglio, Gabriele; Timm, Steven; Bernabeu, Gerard; Chadwick, Keith; Noh, Seo-Young

    2016-07-01

    Cloud bursting is one of the key research topics in the cloud computing communities. A well designed cloud bursting module enables private clouds to automatically launch virtual machines (VMs) to public clouds when more resources are needed. One of the main challenges in developing a cloud bursting module is to decide when and where to launch a VM so that all resources are most effectively and efficiently utilized and the system performance is optimized. However, based on system operational data obtained from FermiCloud, a private cloud developed by the Fermi National Accelerator Laboratory for scientific workflows, the VM launching overhead is not a constant. It varies with physical resource utilization, such as CPU and I/O device utilizations, at the time when a VM is launched. Hence, to make judicious decisions as to when and where a VM should be launched, a VM launching overhead reference model is needed. In this paper, we first develop a VM launching overhead reference model based on operational data we have obtained on FermiCloud. Second, we apply the developed reference model on FermiCloud and compare calculated VM launching overhead values based on the model with measured overhead values on FermiCloud. Our empirical results on FermiCloud indicate that the developed reference model is accurate. We believe, with the guidance of the developed reference model, efficient resource allocation algorithms can be developed for cloud bursting process to minimize the operational cost and resource waste.

  18. An Efficient Virtual Machine Consolidation Scheme for Multimedia Cloud Computing.

    Science.gov (United States)

    Han, Guangjie; Que, Wenhui; Jia, Gangyong; Shu, Lei

    2016-02-18

    Cloud computing has innovated the IT industry in recent years, as it can delivery subscription-based services to users in the pay-as-you-go model. Meanwhile, multimedia cloud computing is emerging based on cloud computing to provide a variety of media services on the Internet. However, with the growing popularity of multimedia cloud computing, its large energy consumption cannot only contribute to greenhouse gas emissions, but also result in the rising of cloud users' costs. Therefore, the multimedia cloud providers should try to minimize its energy consumption as much as possible while satisfying the consumers' resource requirements and guaranteeing quality of service (QoS). In this paper, we have proposed a remaining utilization-aware (RUA) algorithm for virtual machine (VM) placement, and a power-aware algorithm (PA) is proposed to find proper hosts to shut down for energy saving. These two algorithms have been combined and applied to cloud data centers for completing the process of VM consolidation. Simulation results have shown that there exists a trade-off between the cloud data center's energy consumption and service-level agreement (SLA) violations. Besides, the RUA algorithm is able to deal with variable workload to prevent hosts from overloading after VM placement and to reduce the SLA violations dramatically.

  19. Modeling the Virtual Machine Launching Overhead under Fermicloud

    Energy Technology Data Exchange (ETDEWEB)

    Garzoglio, Gabriele [Fermilab; Wu, Hao [Fermilab; Ren, Shangping [IIT, Chicago; Timm, Steven [Fermilab; Bernabeu, Gerard [Fermilab; Noh, Seo-Young [KISTI, Daejeon

    2014-11-12

    FermiCloud is a private cloud developed by the Fermi National Accelerator Laboratory for scientific workflows. The Cloud Bursting module of the FermiCloud enables the FermiCloud, when more computational resources are needed, to automatically launch virtual machines to available resources such as public clouds. One of the main challenges in developing the cloud bursting module is to decide when and where to launch a VM so that all resources are most effectively and efficiently utilized and the system performance is optimized. However, based on FermiCloud’s system operational data, the VM launching overhead is not a constant. It varies with physical resource (CPU, memory, I/O device) utilization at the time when a VM is launched. Hence, to make judicious decisions as to when and where a VM should be launched, a VM launch overhead reference model is needed. The paper is to develop a VM launch overhead reference model based on operational data we have obtained on FermiCloud and uses the reference model to guide the cloud bursting process.

  20. Simple, Parallel, High-Performance Virtual Machines for Extreme Computations

    CERN Document Server

    Nejad, Bijan Chokoufe; Reuter, Jürgen

    2014-01-01

    We introduce a high-performance virtual machine (VM) written in a numerically fast language like Fortran or C to evaluate very large expressions. We discuss the general concept of how to perform computations in terms of a VM and present specifically a VM that is able to compute tree-level cross sections for any number of external legs, given the corresponding byte code from the optimal matrix element generator, O'Mega. Furthermore, this approach allows to formulate the parallel computation of a single phase space point in a simple and obvious way. We analyze hereby the scaling behaviour with multiple threads as well as the benefits and drawbacks that are introduced with this method. Our implementation of a VM can run faster than the corresponding native, compiled code for certain processes and compilers, especially for very high multiplicities, and has in general runtimes in the same order of magnitude. By avoiding the tedious compile and link steps, which may fail for source code files of gigabyte sizes, new...

  1. PECULIARITIES OF THE TECHNOLOGY OF CONTINUOUS CASTING OF SLUGS OF MACHINE- AND MACHINE-TOOL-BUILDING

    Directory of Open Access Journals (Sweden)

    E. B. Demchenko

    2006-01-01

    Full Text Available The peculiarities of technology of continuous casting of ingots of machine- and machine tool building are shown. At development of technology it is necessary to subject the nomenclature of ingots to analysis in order to reveal expediency of their production by means of continuous casting.

  2. Assisting the Tooling and Machining Industry to Become Energy Efficient

    Energy Technology Data Exchange (ETDEWEB)

    Curry, Bennett [Arizona Commerce Authority, Phoenix, AZ (United States)

    2016-12-30

    The Arizona Commerce Authority (ACA) conducted an Innovation in Advanced Manufacturing Grant Competition to support and grow southern and central Arizona’s Aerospace and Defense (A&D) industry and its supply chain. The problem statement for this grant challenge was that many A&D machining processes utilize older generation CNC machine tool technologies that can result an inefficient use of resources – energy, time and materials – compared to the latest state-of-the-art CNC machines. Competitive awards funded projects to develop innovative new tools and technologies that reduce energy consumption for older generation machine tools and foster working relationships between industry small to medium-sized manufacturing enterprises and third-party solution providers. During the 42-month term of this grant, 12 competitive awards were made. Final reports have been included with this submission.

  3. Enabling distributed simulation multilevel security using virtual machine and virtual private network technology

    Science.gov (United States)

    Stytz, Martin R.; Banks, Sheila B.

    2007-04-01

    Increasing the accuracy of the portrayal of all of the elements of a simulation environment has long been a prime goal of the modeling and simulation community; a goal that has remained far out of reach for many reasons. One of the greatest hurdles facing simulation developers in the effort to increase simulation accuracy is the need to segregate information across the entire simulation environment according to access restrictions in order to insure the integrity, security, and reliability requirements imposed on the data. However, this need for segregation does not mean that those with the highest access permissions should be forced to use multiple computers and displays to integrate the information that they need or that intelligent agents should be restricted in their access to the information that they need in order to adequately assist their human operators. In this paper, we present a potential solution to the problem of integrating and segregating data, which is the use of virtual machine and virtual private network technology in order to maintain segregation of data, control access, and control intercommunication.

  4. A critical survey of live virtual machine migration techniques

    Directory of Open Access Journals (Sweden)

    Anita Choudhary

    2017-11-01

    Full Text Available Abstract Virtualization techniques effectively handle the growing demand for computing, storage, and communication resources in large-scale Cloud Data Centers (CDC. It helps to achieve different resource management objectives like load balancing, online system maintenance, proactive fault tolerance, power management, and resource sharing through Virtual Machine (VM migration. VM migration is a resource-intensive procedure as VM’s continuously demand appropriate CPU cycles, cache memory, memory capacity, and communication bandwidth. Therefore, this process degrades the performance of running applications and adversely affects efficiency of the data centers, particularly when Service Level Agreements (SLA and critical business objectives are to be met. Live VM migration is frequently used because it allows the availability of application service, while migration is performed. In this paper, we make an exhaustive survey of the literature on live VM migration and analyze the various proposed mechanisms. We first classify the types of Live VM migration (single, multiple and hybrid. Next, we categorize VM migration techniques based on duplication mechanisms (replication, de-duplication, redundancy, and compression and awareness of context (dependency, soft page, dirty page, and page fault and evaluate the various Live VM migration techniques. We discuss various performance metrics like application service downtime, total migration time and amount of data transferred. CPU, memory and storage data is transferred during the process of VM migration and we identify the category of data that needs to be transferred in each case. We present a brief discussion on security threats in live VM migration and categories them in three different classes (control plane, data plane, and migration module. We also explain the security requirements and existing solutions to mitigate possible attacks. Specific gaps are identified and the research challenges in improving

  5. Elevating Virtual Machine Introspection for Fine-Grained Process Monitoring: Techniques and Applications

    Science.gov (United States)

    Srinivasan, Deepa

    2013-01-01

    Recent rapid malware growth has exposed the limitations of traditional in-host malware-defense systems and motivated the development of secure virtualization-based solutions. By running vulnerable systems as virtual machines (VMs) and moving security software from inside VMs to the outside, the out-of-VM solutions securely isolate the anti-malware…

  6. End mill tools integration in CNC machining for rapid manufacturing processes: simulation studies

    Directory of Open Access Journals (Sweden)

    Muhammed Nafis Osman Zahid

    2015-01-01

    Full Text Available Computer numerical controlled (CNC machining has been recognized as a manufacturing process that is capable of producing metal parts with high precision and reliable quality, whereas many additive manufacturing methods are less capable in these respects. The introduction of a new layer-removal methodology that utilizes an indexing device to clamp the workpiece can be used to extend CNC applications into the realm of rapid manufacturing (CNC-RM processes. This study aims to improve the implementation of CNC machining for RM by formulating a distinct approach to integrate end mill tools during finishing processes. A main objective is to enhance process efficiency by minimizing the staircasing effect of layer removal so as to improve the quality of machined parts. In order to achieve this, different types of end mill tools are introduced to cater for specific part surfaces during finishing operations. Virtual machining simulations are executed to verify the method and the implications. The findings indicate the advantages of the approach in terms of cutting time and excess volume left on the parts. It is shown that using different tools for finishing operations will improve the capabilities of CNC machining for rapid manufacturing applications.

  7. FINITE ELEMENT ANALYSIS OF CONCRETE FILLER INFLUENCE ON DYNAMIC RIGIDITY OF HEAVY MACHINE TOOL PORTAL

    Directory of Open Access Journals (Sweden)

    Yu. V. Vasilevich

    2016-01-01

    Full Text Available Virtual testing of portal machine tool has been carried out with the help of finite elements method (FEM. Static, modal and harmonic analyses have been made for a heavy planer. The paper reveals influence of concrete filler on machine tool dynamic flexibility. A peculiar feature of the simulation is concrete filling of a high-level transverse beam. Such approach oes look a typical one for machine-tool industry. Concrete has been considered as generalized material in two variants. It has been established that concrete application provides approximately 3-fold increase in machine tool rigidity per each coordinate. In this regard it is necessary to arrange closure of rigidity contour by filling all the cavities inside of the portal. Modal FEA makes it possible to determine that concrete increases comparatively weakly (1.3–1.4-fold frequencies of resonance modes. Frequency of the lowest mode rises only from 30.25 to 42.86 Hz. The following most active whole-machine eigenmodes have been revealed in the paper: “Portal pecking”, “Parallelogram” and “Traverse pecking”. In order to restrain the last mode it is necessary to carry out concrete filling of the traverse, in particular. Frequency-response characteristics and curves of dynamic rigidity for a spindle have been plotted for 0–150 Hz interval while using harmonic FEM. It has been determined that concrete increases dynamic machine tool rigidity by 2.5–3.5-fold. The effect is obtained even in the case when weakly damping concrete (2 % is used. This is due to distribution of vibrational energy flow along concrete and along cast iron as well. Thus energy density and vibration amplitudes must decrease. The paper shows acceptability for internal reinforcement of high-level machine tool parts (for example, portal traverses and fillers are applied for this purpose. Traverse weighting is compensated by additional torsional, shear and bending rigidity. The machine tool obtains the

  8. TOWARDS QUANTITATIVE TOOLS FOR ANALYSING QUALITATIVE PROPERTIES OF VIRTUAL COMMUNITIES

    Directory of Open Access Journals (Sweden)

    Duje Bonacci

    2004-12-01

    Full Text Available During the last decade, the advance of Internet has enabled the emergence of previously nonexistent type of human social structures - virtual 'online' communities. As compared to the traditional communities, online communities are distinguished by the drastic reduction of the requirement for the physical proximity and geographical clustering of their members. The primary cause of this shift away from ‘physically concentrated’ communities to dispersed virtual ones is new long distance communication tools that Internet has provided. Along with the increase in quantity of communication that the new technology brought about, it also strongly influenced its quality. The paper suggests two simple mathematical tools for analysing the ‘soft’ (qualitative sociological internal properties of virtual communities. The suggested tools are applied and their utility discussed on the example of one such virtual community, Croatian NGO ‘Society znanost.org’.

  9. ANN Based Tool Condition Monitoring System for CNC Milling Machines

    OpenAIRE

    Mota-Valtierra G.C.; Franco-Gasca L.A.; Herrera-Ruiz G.; Macias-Bobadilla G.

    2011-01-01

    Most of the companies have as objective to manufacture high-quality products, then by optimizing costs, reducing and controlling the variations in its production processes it is possible. Within manufacturing industries a very important issue is the tool condition monitoring, since the tool state will determine the quality of products. Besides, a good monitoring system will protect the machinery from severe damages. For determining the state of the cutting tools in a milling machine, there is...

  10. Development and Control of a 5-Axis Reconfigurable Machine Tool

    Directory of Open Access Journals (Sweden)

    Z. M. Bi

    2011-01-01

    Full Text Available The development of a hybrid reconfigurable machine tool has been introduced. The machine tool consists of a tripod-based parallel kinematic machine (PKM module with three degrees of freedom (DOF and a serial linear - table with two DOF. The PKM is installed on a gantry system which is capable of reconfiguring its position and orientation. In the design of tripod-based parallel mechanism, a passive link is used to enhance the stiffness and increase the working load. To avoid the buildup of the heat of the extensive actuation, three joints are actuated via the actuators with a constant length. The geometries of the PKM have been optimized for the best and highest accuracy. In this paper, its control system and the prototyping development are focused. An open architecture is applied, the control methodologies are developed and validated, and the corresponding software tools have been implemented for the software reconfiguration of the control system.

  11. High Accuracy Nonlinear Control and Estimation for Machine Tool Systems

    DEFF Research Database (Denmark)

    Papageorgiou, Dimitrios

    sophisticated machine tool systems that are adaptable to different workspace conditions, while at the same time being able to maintain very narrow workpiece tolerances. The main topic of this thesis is to suggest control methods that can maintain required manufacturing tolerances, despite moderate wear and tear......Component mass production has been the backbone of industry since the second industrial revolution, and machine tools are producing parts of widely varying size and design complexity. The ever-increasing level of automation in modern manufacturing processes necessitates the use of more....... The purpose is to ensure that full accuracy is maintained between service intervals and to advice when overhaul is needed. The thesis argues that quality of manufactured components is directly related to the positioning accuracy of the machine tool axes, and it shows which low level control architectures...

  12. Virtual machine initiated operations logic for resource management

    OpenAIRE

    Lartey, Nii Apleh

    2009-01-01

    Master i nettverks- og systemadministrasjon This thesis takes a look at an alternative approach to resource management using virtual- ization. The paper makes an attempt at looking at some administrative issues that arise due to current designs of virtualization management especially in multi-tenant virtual hosting environments and possibility of taking advantage of different kinds of offers from different providers through automated operations logic driven management. The a...

  13. MODELS OF LIVE MIGRATION WITH ITERATIVE APPROACH AND MOVE OF VIRTUAL MACHINES

    Directory of Open Access Journals (Sweden)

    S. M. Aleksankov

    2015-11-01

    Full Text Available Subject of Research. The processes of live migration without shared storage with pre-copy approach and move migration are researched. Migration of virtual machines is an important opportunity of virtualization technology. It enables applications to move transparently with their runtime environments between physical machines. Live migration becomes noticeable technology for efficient load balancing and optimizing the deployment of virtual machines to physical hosts in data centres. Before the advent of live migration, only network migration (the so-called, «Move», has been used, that entails stopping the virtual machine execution while copying to another physical server, and, consequently, unavailability of the service. Method. Algorithms of live migration without shared storage with pre-copy approach and move migration of virtual machines are reviewed from the perspective of research of migration time and unavailability of services at migrating of virtual machines. Main Results. Analytical models are proposed predicting migration time of virtual machines and unavailability of services at migrating with such technologies as live migration with pre-copy approach without shared storage and move migration. In the latest works on the time assessment of unavailability of services and migration time using live migration without shared storage experimental results are described, that are applicable to draw general conclusions about the changes of time for unavailability of services and migration time, but not to predict their values. Practical Significance. The proposed models can be used for predicting the migration time and time of unavailability of services, for example, at implementation of preventive and emergency works on the physical nodes in data centres.

  14. Tool management in manufacturing systems equipped with CNC machines

    Directory of Open Access Journals (Sweden)

    Giovanni Tani

    1997-12-01

    Full Text Available This work has been carried out for the purpose of realizing an automated system for the integrated management of tools within a company. By integrating planning, inspection and tool-room functions, automated tool management can ensure optimum utilization of tools on the selected machines, guaranteeing their effective availability. The first stage of the work consisted of defining and developing a Tool Management System whose central nucleus is a unified Data Base for all of the tools, forming part of the company's Technological Files (files on machines, materials, equipment, methods, etc., interfaceable with all of the company departments that require information on tools. The system assigns code numbers to the individual components of the tools and file them on the basis of their morphological and functional characteristics. The system is also designed to effect assemblies of tools, from which are obtained the "Tool Cards" required for compiling working cycles (CAPP, for CAM programming and for the Tool-room where the tools are physically prepared. Methods for interfacing with suitable systems for the aforesaid functions have also been devised

  15. Tool Deflection Control by a Sensory Spindle Slide for Milling Machine Tools

    OpenAIRE

    Denkena, Berend; Dahlmann, Dominik; Boujnah, Haythem

    2017-01-01

    A conventional spindle slide of a milling center is enhanced to a force "feeling" component for process monitoring and control tasks. The feeling ability is realized by integrating strain gauges in notches machined into the structure. This force sensing allows the identification of the static tool stiffness and enables the online detection of the tool deflection during milling processes. Based on a communication via PROFIBUS between the monitoring system and the machine control, the tool defl...

  16. Technique for Increasing Accuracy of Positioning System of Machine Tools

    Directory of Open Access Journals (Sweden)

    Sh. Ji

    2014-01-01

    Full Text Available The aim of research is to improve the accuracy of positioning and processing system using a technique for optimization of pressure diagrams of guides in machine tools. The machining quality is directly related to its accuracy, which characterizes an impact degree of various errors of machines. The accuracy of the positioning system is one of the most significant machining characteristics, which allow accuracy evaluation of processed parts.The literature describes that the working area of the machine layout is rather informative to characterize the effect of the positioning system on the macro-geometry of the part surfaces to be processed. To enhance the static accuracy of the studied machine, in principle, two groups of measures are possible. One of them points toward a decrease of the cutting force component, which overturns the slider moments. Another group of measures is related to the changing sizes of the guide facets, which may lead to their profile change.The study was based on mathematical modeling and optimization of the cutting zone coordinates. And we find the formula to determine the surface pressure of the guides. The selected parameters of optimization are vectors of the cutting force and values of slides and guides. Obtained results show that a technique for optimization of coordinates in the cutting zone was necessary to increase a processing accuracy.The research has established that to define the optimal coordinates of the cutting zone we have to change the sizes of slides, value and coordinates of applied forces, reaching the pressure equalization and improving the accuracy of positioning system of machine tools. In different points of the workspace a vector of forces is applied, pressure diagrams are found, which take into account the changes in the parameters of positioning system, and the pressure diagram equalization to provide the most accuracy of machine tools is achieved.

  17. Dynamic scheduling of virtual machines running hpc workloads in scientific grids

    CERN Document Server

    Khalid, Omer; Anthony, Richard; Petridis, Miltos; Parrot, Kevin; Schulz, Markus; 10.1145/1330555.1330556

    2010-01-01

    The primary motivation for uptake of virtualization has been resource isolation, capacity management and resource customization allowing resource providers to consolidate their resources in virtual machines. Various approaches have been taken to integrate virtualization in to scientific Grids especially in the arena of High Performance Computing (HPC) to run grid jobs in virtual machines, thus enabling better provisioning of the underlying resources and customization of the execution environment on runtime. Despite the gains, virtualization layer also incur a performance penalty and its not very well understood that how such an overhead will impact the performance of systems where jobs are scheduled with tight deadlines. Since this overhead varies the types of workload whether they are memory intensive, CPU intensive or network I/O bound, and could lead to unpredictable deadline estimation for the running jobs in the system. In our study, we have attempted to tackle this problem by developing an intelligent s...

  18. Deadline aware virtual machine scheduler for scientific grids and cloud computing

    CERN Document Server

    Khalid, Omer; Anthony, Richard; Petridis, Miltos; Parrot, Kevin; Schulz, Markus; 10.1109/WAINA.2010.107

    2010-01-01

    Virtualization technology has enabled applications to be decoupled from the underlying hardware providing the benefits of portability, better control over execution environment and isolation. It has been widely adopted in scientific grids and commercial clouds. Since virtualization, despite its benefits incurs a performance penalty, which could be significant for systems dealing with uncertainty such as High Performance Computing (HPC) applications where jobs have tight deadlines and have dependencies on other jobs before they could run. The major obstacle lies in bridging the gap between performance requirements of a job and performance offered by the virtualization technology if the jobs were to be executed in virtual machines. In this paper, we present a novel approach to optimize job deadlines when run in virtual machines by developing a deadline-aware algorithm that responds to job execution delays in real time, and dynamically optimizes jobs to meet their deadline obligations. Our approaches borrowed co...

  19. Static Stiffness Modeling of Parallel Kinematics Machine Tool Joints

    Directory of Open Access Journals (Sweden)

    O. K. Akmaev

    2015-09-01

    Full Text Available The possible variants of an original parallel kinematics machine-tool structure are explored in this article. A new Hooke's universal joint design based on needle roller bearings with the ability of a preload setting is proposed. The bearing stiffness modeling is carried out using a variety of methods. The elastic deformation modeling of a Hook’s joint and a spherical rolling joint have been developed to assess the possibility of using these joints in machine tools with parallel kinematics.

  20. Diagnostics for geometric performance of machine tool linear axes

    Science.gov (United States)

    Vogl, Gregory W.; Donmez, M. Alkan; Archenti, Andreas

    2017-01-01

    Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of linear axes is typically a manual and time-consuming process. Manufacturers need automated and efficient methods to diagnose the condition of their machine tool linear axes with minimal disruptions to production. A method was developed to use data from an inertial measurement unit (IMU) for identification of changes in the translational and angular errors due to axis degradation. A linear axis testbed, established for the purpose of verification and validation, revealed that the IMU-based method was capable of measuring geometric errors with acceptable test uncertainty ratios. PMID:28603291

  1. Porting Gravitational Wave Signal Extraction to Parallel Virtual Machine (PVM)

    Science.gov (United States)

    Thirumalainambi, Rajkumar; Thompson, David E.; Redmon, Jeffery

    2009-01-01

    Laser Interferometer Space Antenna (LISA) is a planned NASA-ESA mission to be launched around 2012. The Gravitational Wave detection is fundamentally the determination of frequency, source parameters, and waveform amplitude derived in a specific order from the interferometric time-series of the rotating LISA spacecrafts. The LISA Science Team has developed a Mock LISA Data Challenge intended to promote the testing of complicated nested search algorithms to detect the 100-1 millihertz frequency signals at amplitudes of 10E-21. However, it has become clear that, sequential search of the parameters is very time consuming and ultra-sensitive; hence, a new strategy has been developed. Parallelization of existing sequential search algorithms of Gravitational Wave signal identification consists of decomposing sequential search loops, beginning with outermost loops and working inward. In this process, the main challenge is to detect interdependencies among loops and partitioning the loops so as to preserve concurrency. Existing parallel programs are based upon either shared memory or distributed memory paradigms. In PVM, master and node programs are used to execute parallelization and process spawning. The PVM can handle process management and process addressing schemes using a virtual machine configuration. The task scheduling and the messaging and signaling can be implemented efficiently for the LISA Gravitational Wave search process using a master and 6 nodes. This approach is accomplished using a server that is available at NASA Ames Research Center, and has been dedicated to the LISA Data Challenge Competition. Historically, gravitational wave and source identification parameters have taken around 7 days in this dedicated single thread Linux based server. Using PVM approach, the parameter extraction problem can be reduced to within a day. The low frequency computation and a proxy signal-to-noise ratio are calculated in separate nodes that are controlled by the master

  2. Program Design Report of the CNC Machine Tool(V-1)

    Energy Technology Data Exchange (ETDEWEB)

    Youm, Ki Un; Moon, J. S.; Lee, I. B.; Youn, J. H.

    2010-08-15

    The application of CNC machine tool being widely expanded according to variety of machine work method and rapid promotion of machine tool, cutting tool, for high speed efficient machine work. In order to conduct of the project of manufacture and maintenance of laboratory equipment, production design and machine work technology are continually developed, especially the application of CNC machine tool is very important for the improvement of productivity, quality and clearing up a manpower shortage. We publish technical report which it includes CNC machine tool program and drawing, it contributes to the systematic development of CNC program design and machine work technology

  3. Urgent Virtual Machine Eviction with Enlightened Post-Copy

    Science.gov (United States)

    2015-12-01

    with common hypervisors, qemu-kvm 2.3.0, Xen 4.1.6, VirtualBox 4.3.16, and another major hypervisor (labeled “Hypervisor A”). The memslap benchmark is...the other hypervisors, VirtualBox does not complete migration under this workload. The key point of these results, how- ever, is not the absolute

  4. Liberating Virtual Machines from Physical Boundaries through Execution Knowledge

    Science.gov (United States)

    2015-12-01

    05), Brighton, UK, 2005. ACM. [28] Ricardo A. Baratto, Shaya Potter , Gong Su, and Jason Nieh. MobiDesk: Mobile Virtual Desktop Computing. In...Boris Dragovic, Keir Fraser, Steven Hand, Tim Harris , Alex Ho, Rolf Neugebauer, Ian Pratt, and Andrew Warfield. Xen and the Art of Virtualization

  5. An Effective Mechanism for Virtual Machine Placement using Aco in IAAS Cloud

    Science.gov (United States)

    Shenbaga Moorthy, Rajalakshmi; Fareentaj, U.; Divya, T. K.

    2017-08-01

    Cloud computing provides an effective way to dynamically provide numerous resources to meet customer demands. A major challenging problem for cloud providers is designing efficient mechanisms for optimal virtual machine Placement (OVMP). Such mechanisms enable the cloud providers to effectively utilize their available resources and obtain higher profits. In order to provide appropriate resources to the clients an optimal virtual machine placement algorithm is proposed. Virtual machine placement is NP-Hard problem. Such NP-Hard problem can be solved using heuristic algorithm. In this paper, Ant Colony Optimization based virtual machine placement is proposed. Our proposed system focuses on minimizing the cost spending in each plan for hosting virtual machines in a multiple cloud provider environment and the response time of each cloud provider is monitored periodically, in such a way to minimize delay in providing the resources to the users. The performance of the proposed algorithm is compared with greedy mechanism. The proposed algorithm is simulated in Eclipse IDE. The results clearly show that the proposed algorithm minimizes the cost, response time and also number of migrations.

  6. Effect of the Cutting Tool Geometry on the Tool Wear Resistance When Machining Inconel 625

    Directory of Open Access Journals (Sweden)

    Tomáš Zlámal

    2017-12-01

    Full Text Available The paper deals with the design of a suitable cutting geometry of a tool for the machining of the Inconel 625 nickel alloy. This alloy is among the hard-to-machine refractory alloys that cause very rapid wear on cutting tools. Therefore, SNMG and RCMT indexable cutting insert were used to machine the alloy. The selected insert geometry should prevent notch wear and extend tool life. The alloy was machined under predetermined cutting conditions. The angle of the main edge and thus the size and nature of the wear changed with the depth of the material layer being cut. The criterion for determining a more suitable cutting geometry was the tool’s durability and the roughness of the machined surface.

  7. Laboratory directed research and development final report: Intelligent tools for on-machine acceptance of precision machined components

    Energy Technology Data Exchange (ETDEWEB)

    Christensen, N.G.; Harwell, L.D.; Hazelton, A.

    1997-02-01

    On-Machine Acceptance (OMA) is an agile manufacturing concept being developed for machine tools at SNL. The concept behind OMA is the integration of product design, fabrication, and qualification processes by using the machining center as a fabrication and inspection tool. This report documents the final results of a Laboratory Directed Research and Development effort to qualify OMA.

  8. Performance of machine-learning scoring functions in structure-based virtual screening.

    Science.gov (United States)

    Wójcikowski, Maciej; Ballester, Pedro J; Siedlecki, Pawel

    2017-04-25

    Classical scoring functions have reached a plateau in their performance in virtual screening and binding affinity prediction. Recently, machine-learning scoring functions trained on protein-ligand complexes have shown great promise in small tailored studies. They have also raised controversy, specifically concerning model overfitting and applicability to novel targets. Here we provide a new ready-to-use scoring function (RF-Score-VS) trained on 15 426 active and 893 897 inactive molecules docked to a set of 102 targets. We use the full DUD-E data sets along with three docking tools, five classical and three machine-learning scoring functions for model building and performance assessment. Our results show RF-Score-VS can substantially improve virtual screening performance: RF-Score-VS top 1% provides 55.6% hit rate, whereas that of Vina only 16.2% (for smaller percent the difference is even more encouraging: RF-Score-VS top 0.1% achieves 88.6% hit rate for 27.5% using Vina). In addition, RF-Score-VS provides much better prediction of measured binding affinity than Vina (Pearson correlation of 0.56 and -0.18, respectively). Lastly, we test RF-Score-VS on an independent test set from the DEKOIS benchmark and observed comparable results. We provide full data sets to facilitate further research in this area (http://github.com/oddt/rfscorevs) as well as ready-to-use RF-Score-VS (http://github.com/oddt/rfscorevs_binary).

  9. Machine Translation As a Tool in Second Language Learning.

    Science.gov (United States)

    Anderson, Don D.

    1995-01-01

    Describes the evaluation of Computronics Corporations'"Targumatic" (Hebrew into English), a PC-based machine translation system running under DOS, and shows how each problem and potential obstruction to learning can be overcome through discovery procedures using a set of tools and procedures called the "learning algorithm." (22…

  10. Vision-based on-machine measurement for CNC machine tool

    Science.gov (United States)

    Xia, Ruixue; Han, Jiang; Lu, Rongsheng; Xia, Lian

    2015-02-01

    A vision-based on-machine measurement system (OMM) was developed to improve manufacturing effectiveness. It was based on a visual probe to enable the CNC machine tool itself to act as a coordinate measuring machine (CMM) to inspect a workpiece. The proposed OMM system was composed of a visual probe and two software modules: computer-aided inspection planning (CAIP) module and measurement data processing (MDP) module. The auto-focus function of the visual probe was realized by using astigmatic method. The CAIP module was developed based on a CAD development platform with Open CASCADE as its kernel. The MDP module includes some algorithms for determination of inspection parameters, for example, the chamfered hole was measured through focus variation. The entire system was consequently verified on a CNC milling machine.

  11. A Real-Time Tool Positioning Sensor for Machine-Tools

    Science.gov (United States)

    Ruiz, Antonio Ramon Jimenez; Rosas, Jorge Guevara; Granja, Fernando Seco; Honorato, Jose Carlos Prieto; Taboada, Jose Juan Esteve; Serrano, Vicente Mico; Jimenez, Teresa Molina

    2009-01-01

    In machining, natural oscillations, and elastic, gravitational or temperature deformations, are still a problem to guarantee the quality of fabricated parts. In this paper we present an optical measurement system designed to track and localize in 3D a reference retro-reflector close to the machine-tool's drill. The complete system and its components are described in detail. Several tests, some static (including impacts and rotations) and others dynamic (by executing linear and circular trajectories), were performed on two different machine tools. It has been integrated, for the first time, a laser tracking system into the position control loop of a machine-tool. Results indicate that oscillations and deformations close to the tool can be estimated with micrometric resolution and a bandwidth from 0 to more than 100 Hz. Therefore this sensor opens the possibility for on-line compensation of oscillations and deformations. PMID:22408472

  12. A Standard Java Virtual Machine for Real-Time Embedded Systems

    Science.gov (United States)

    de Bruin, F.; Deladerrière, F.; Siebert, F.

    The AERO (Architecture for Enhanced Reprogrammability and Operability) is an ESA project with the objectives to investigate on a real-time Java virtual machine for ERC32 processor. Special attention was put on the garbage collection mechanism and deterministic execution model. The project have first investigate existing virtual machine to choose a potential candidate that will be customized, are then investigates the definition of requirements concerning a real-time interpreter in on-board systems. The second phase of the project was dedicated to the definition of software functions of the real-time Java virtual machine and to their implementation and assessment through validation tests. The resulting application is the AERO-JVM.

  13. Guideway Joint Surface Properties of Heavy Machine Tools Based on the Theory of Similarity

    OpenAIRE

    Shengle Ren; Ye Dai; Xibin He; Tianyu Cheng

    2013-01-01

    In the process of Heavy NC machine tool design, the combination of static, dynamic characteristics directly determines and influences stiffness, damping, machining precision and work efficiency, Therefore the research on the combination of the characteristics become extremely important to the success of machine tool design. This study mainly studies the dynamic and static characteristic parameters of heavy machine tool guide way joint. And put forward a practical machine tool combining surfac...

  14. INFORMATION INFRASTRUCTURE OF THE EDUCATIONAL ENVIRONMENT WITH VIRTUAL MACHINE TECHNOLOGY

    Directory of Open Access Journals (Sweden)

    Artem D. Beresnev

    2014-09-01

    Full Text Available Subject of research. Information infrastructure for the training environment with application of technology of virtual computers for small pedagogical systems (separate classes, author's courses is created and investigated. Research technique. The life cycle model of information infrastructure for small pedagogical systems with usage of virtual computers in ARIS methodology is constructed. The technique of information infrastructure formation with virtual computers on the basis of process approach is offered. The model of an event chain in combination with the environment chart is used as the basic model. For each function of the event chain the necessary set of means of information and program support is defined. Technique application is illustrated on the example of information infrastructure design for the educational environment taking into account specific character of small pedagogical systems. Advantages of the designed information infrastructure are: the maximum usage of open or free components; the usage of standard protocols (mainly, HTTP and HTTPS; the maximum portability (application servers can be started up on any of widespread operating systems; uniform interface to management of various virtualization platforms, possibility of inventory of contents of the virtual computer without its start, flexible inventory management of the virtual computer by means of adjusted chains of rules. Approbation. Approbation of obtained results was carried out on the basis of training center "Institute of Informatics and Computer Facilities" (Tallinn, Estonia. Technique application within the course "Computer and Software Usage" gave the possibility to get half as much the number of refusals for components of the information infrastructure demanding intervention of the technical specialist, and also the time for elimination of such malfunctions. Besides, the pupils who have got broader experience with computer and software, showed better results

  15. Kinematic Analysis of a 3-dof Parallel Machine Tool with Large Workspace

    Directory of Open Access Journals (Sweden)

    Shi Yan

    2016-01-01

    Full Text Available Kinematics of a 3-dof (degree of freedom parallel machine tool with large workspace was analyzed. The workspace volume and surface and boundary posture angles of the 3-dof parallel machine tool are relatively large. Firstly, three dimensional simulation manipulator of the 3-dof parallel machine tool was constructed, and its joint distribution was described. Secondly, kinematic models of the 3-dof parallel machine tool were fixed on, including displacement analysis, velocity analysis, and acceleration analysis. Finally, the kinematic models of the machine tool were verified by a numerical example. The study result has an important significance to the application of the parallel machine tool.

  16. ANN Based Tool Condition Monitoring System for CNC Milling Machines

    Directory of Open Access Journals (Sweden)

    Mota-Valtierra G.C.

    2011-10-01

    Full Text Available Most of the companies have as objective to manufacture high-quality products, then by optimizing costs, reducing and controlling the variations in its production processes it is possible. Within manufacturing industries a very important issue is the tool condition monitoring, since the tool state will determine the quality of products. Besides, a good monitoring system will protect the machinery from severe damages. For determining the state of the cutting tools in a milling machine, there is a great variety of models in the industrial market, however these systems are not available to all companies because of their high costs and the requirements of modifying the machining tool in order to attach the system sensors. This paper presents an intelligent classification system which determines the status of cutt ers in a Computer Numerical Control (CNC milling machine. This tool state is mainly detected through the analysis of the cutting forces drawn from the spindle motors currents. This monitoring system does not need sensors so it is no necessary to modify the machine. The correct classification is made by advanced digital signal processing techniques. Just after acquiring a signal, a FIR digital filter is applied to the data to eliminate the undesired noisy components and to extract the embedded force components. A Wavelet Transformation is applied to the filtered signal in order to compress the data amount and to optimize the classifier structure. Then a multilayer perceptron- type neural network is responsible for carrying out the classification of the signal. Achieving a reliability of 95%, the system is capable of detecting breakage and a worn cutter.

  17. Optimal Machine Tools Selection Using Interval-Valued Data FCM Clustering Algorithm

    Directory of Open Access Journals (Sweden)

    Yupeng Xin

    2014-01-01

    Full Text Available Machine tool selection directly affects production rates, accuracy, and flexibility. In order to quickly and accurately select the appropriate machine tools in machining process planning, this paper proposes an optimal machine tools selection method based on interval-valued data fuzzy C-means (FCM clustering algorithm. We define the machining capability meta (MAE as the smallest unit to describe machining capacity of machine tools and establish MAE library based on the MAE information model. According to the manufacturing process requirements, the MAEs can be queried from MAE library. Subsequently, interval-valued data FCM algorithm is used to select the appropriate machine tools for manufacturing process. Through computing matching degree between manufacturing process machining constraints and MAEs, we get the most appropriate MAEs and the corresponding machine tools. Finally, a case study of an exhaust duct part of the aeroengine is presented to demonstrate the applicability of the proposed method.

  18. Design of ultraprecision machine tools with application to manufacturing of miniature and micro components

    OpenAIRE

    Luo, X; Cheng, K; Webb, D; Wardle, F

    2005-01-01

    Currently the underlying necessities for predictability, producibility and productivity remain big issues in ultraprecision machining of miniature/microproducts. The demand on rapid and economic fabrication of miniature/microproducts with complex shapes has also made new challenges for ultraprecision machine tool design. In this paper the design for an ultraprecision machine tool is introduced by describing its key machine elements and machine tool design procedures. The focus is on the revie...

  19. MACHINING OF NICKEL BASED ALLOYS USING DIFFERENT CEMENTED CARBIDE TOOLS

    Directory of Open Access Journals (Sweden)

    BASIM A. KHIDHIR

    2010-09-01

    Full Text Available This paper presents the results of experimental work in dry turning of nickel based alloys (Haynes – 276 using Deferent tool geometer of cemented carbide tools. The turning tests were conducted at three different cutting speeds (112, 152, 201and 269 m/min while feed rate and depth of cut were kept constant at 0.2 mm/rev and 1.5 mm, respectively. The tool holders used were SCLCR with insert CCMT-12 and CCLNR – M12-4 with insert CNGN-12. The influence of cutting speed, tool inserts type and workpiece material was investigated on the machined surface roughness. The worn parts of the cutting tools were also examined under scanning electron microscope (SEM. The results showed that cutting speed significantly affected the machined surface finish values in related with the tool insert geometry. Insert type CCMT-12 showed better surface finish for cutting speed to 201 m/min, while insert type CNGN-12 surface roughness increased dramatically with increasing of speed to a limit completely damage of insert geometer beyond 152 m/min.

  20. Electrical Machines Laminations Magnetic Properties: A Virtual Instrument Laboratory

    Science.gov (United States)

    Martinez-Roman, Javier; Perez-Cruz, Juan; Pineda-Sanchez, Manuel; Puche-Panadero, Ruben; Roger-Folch, Jose; Riera-Guasp, Martin; Sapena-Baño, Angel

    2015-01-01

    Undergraduate courses in electrical machines often include an introduction to their magnetic circuits and to the various magnetic materials used in their construction and their properties. The students must learn to be able to recognize and compare the permeability, saturation, and losses of these magnetic materials, relate each material to its…

  1. The heterogeneity of the machine tool industry in Brazil

    Directory of Open Access Journals (Sweden)

    Glaison Augusto Guerrero

    2017-05-01

    Full Text Available The current paper aimed to investigate the reasons for the technological and competitive heterogeneity in the machine tool industry in Brazil. By analyzing the trajectory of the sector, we can highlight three main reasons for such heterogeneity. First, due to the competitive framework that emerged from the Brazilian import substitution industrialization process (ISI, the companies that produce and used such technological artifact gave emphasis to the accumulation of productive capacity rather than to innovative capacity. Second, ISI institutional ‘dynamics’ configured the machine tool industry international specialization in products with lower technological content. Third, technological and competitive heterogeneity among manufacturers due not only to different innovative efforts among them, but also to the structure of the demand and the level of sophistication and technological efforts by users.

  2. A general thermal model of machine tool spindle

    Directory of Open Access Journals (Sweden)

    Yanfang Dong

    2017-01-01

    Full Text Available As the core component of machine tool, the thermal characteristics of the spindle have a significant influence on machine tool running status. Lack of an accurate model of the spindle system, particularly the model of load–deformation coefficient between the bearing rolling elements and rings, severely limits the thermal error analytic precision of the spindle. In this article, bearing internal loads, especially the function relationships between the principal curvature difference F(ρ and auxiliary parameter nδ, semi-major axis a, and semi-minor axis b, have been determined; furthermore, high-precision heat generation combining the heat sinks in the spindle system is calculated; finally, an accurate thermal model of the spindle was established. Moreover, a conventional spindle with embedded fiber Bragg grating temperature sensors has been developed. By comparing the experiment results with simulation, it indicates that the model has good accuracy, which verifies the reliability of the modeling process.

  3. Configuration Design of Product Service System for CNC Machine Tools

    Directory of Open Access Journals (Sweden)

    Zhongqi Sheng

    2015-02-01

    Full Text Available Product service system is a combination of product and services to meet the customer requirements. Configuration design is the key process of product service system development. This paper studies the configuration design of product service system for CNC machine tools. The research explores the configuration design process of product service system development, analyzes the retrieval method of product service system schemes, determines the configuration sequence of product modules and service modules by depth-first algorithm, uses fuzzy priority algorithm to produce product scheme, applies genetic algorithm to generate service scheme, and finally integrates product scheme and service scheme to obtain whole scheme of product service system. With CNC machine tools as an example, this paper verifies the feasibility and validity of proposed method.

  4. Reducing Deadline Miss Rate for Grid Workloads running in Virtual Machines: a deadline-aware and adaptive approach

    CERN Document Server

    Khalid, Omer; Anthony, Richard; Petridis, Miltos

    2011-01-01

    This thesis explores three major areas of research; integration of virutalization into sci- entific grid infrastructures, evaluation of the virtualization overhead on HPC grid job’s performance, and optimization of job execution times to increase their throughput by reducing job deadline miss rate. Integration of the virtualization into the grid to deploy on-demand virtual machines for jobs in a way that is transparent to the end users and have minimum impact on the existing system poses a significant challenge. This involves the creation of virtual machines, decompression of the operating system image, adapting the virtual environ- ment to satisfy software requirements of the job, constant update of the job state once it’s running with out modifying batch system or existing grid middleware, and finally bringing the host machine back to a consistent state. To facilitate this research, an existing and in production pilot job framework has been modified to deploy virtual machines on demand on the grid using...

  5. The heterogeneity of the machine tool industry in Brazil

    OpenAIRE

    Guerrero, Glaison Augusto; Dutra Fonseca, Pedro Cezar; Marcelo AREND

    2017-01-01

    The current paper aimed to investigate the reasons for the technological and competitive heterogeneity in the machine tool industry in Brazil. By analyzing the trajectory of the sector, we can highlight three main reasons for such heterogeneity. First, due to the competitive framework that emerged from the Brazilian import substitution industrialization process (ISI), the companies that produce and used such technological artifact gave emphasis to the accumulation of productive capacity rathe...

  6. Editing of EIA coded, numerically controlled, machine tool tapes

    Science.gov (United States)

    Weiner, J. M.

    1975-01-01

    Editing of numerically controlled (N/C) machine tool tapes (8-level paper tape) using an interactive graphic display processor is described. A rapid technique required for correcting production errors in N/C tapes was developed using the interactive text editor on the IMLAC PDS-ID graphic display system and two special programs resident on disk. The correction technique and special programs for processing N/C tapes coded to EIA specifications are discussed.

  7. Configuration Design of Product Service System for CNC Machine Tools

    OpenAIRE

    Zhongqi Sheng; Tao Xu; Junyou Song

    2015-01-01

    Product service system is a combination of product and services to meet the customer requirements. Configuration design is the key process of product service system development. This paper studies the configuration design of product service system for CNC machine tools. The research explores the configuration design process of product service system development, analyzes the retrieval method of product service system schemes, determines the configuration sequence of product modules and servic...

  8. Traceability of On-Machine Tool Measurement: A Review

    OpenAIRE

    Unai Mutilba; Eneko Gomez-Acedo; Gorka Kortaberria; Aitor Olarra; Jose A. Yagüe-Fabra

    2017-01-01

    Nowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power need complex and accurate components that demand close measurements and fast feedback into their manufacturing processes. New measuring technologies are already available in machine tools, including integrated touch probes and fast interfa...

  9. Parser as a tool for natural language understanding by machine

    OpenAIRE

    Жирякова, Ірина Анатоліївна; Симоненко, Михайло Сергійович

    2013-01-01

    This article discusses the features of design and implementation of a tool for machine understanding of natural language texts and presents the results obtained. The main purpose of the study is a comprehensive analysis of applicability of modern approaches and paradigms of parsing to design Russian language text parse. Following the results of the study, we have developed a prototype, which is based on the proposed logical-linguistic model of textual information and which uses grammar of rel...

  10. 6th Workshop on Virtual Machines and Intermediate Languages (VMIL’12)

    NARCIS (Netherlands)

    Rajan, Hridesh; Hauptmann, Michael; Bockisch, Christoph; Blackburn, Steve

    2012-01-01

    The VMIL workshop is a forum for research in virtual machines and intermediate languages. It is dedicated to identifying programming mechanisms and constructs that are currently realized as code transformations or implemented in libraries but should rather be supported at VM level. Candidates for

  11. Slot Machines: Pursuing Responsible Gaming Practices for Virtual Reels and Near Misses

    Science.gov (United States)

    Harrigan, Kevin A.

    2009-01-01

    Since 1983, slot machines in North America have used a computer and virtual reels to determine the odds. Since at least 1988, a technique called clustering has been used to create a high number of near misses, failures that are close to wins. The result is that what the player sees does not represent the underlying probabilities and randomness,…

  12. Micro-CernVM: slashing the cost of building and deploying virtual machines

    Science.gov (United States)

    Blomer, J.; Berzano, D.; Buncic, P.; Charalampidis, I.; Ganis, G.; Lestaris, G.; Meusel, R.; Nicolaou, V.

    2014-06-01

    The traditional virtual machine (VM) building and and deployment process is centered around the virtual machine hard disk image. The packages comprising the VM operating system are carefully selected, hard disk images are built for a variety of different hypervisors, and images have to be distributed and decompressed in order to instantiate a virtual machine. Within the HEP community, the CernVM File System (CernVM-FS) has been established in order to decouple the distribution from the experiment software from the building and distribution of the VM hard disk images. We show how to get rid of such pre-built hard disk images altogether. Due to the high requirements on POSIX compliance imposed by HEP application software, CernVM-FS can also be used to host and boot a Linux operating system. This allows the use of a tiny bootable CD image that comprises only a Linux kernel while the rest of the operating system is provided on demand by CernVM-FS. This approach speeds up the initial instantiation time and reduces virtual machine image sizes by an order of magnitude. Furthermore, security updates can be distributed instantaneously through CernVM-FS. By leveraging the fact that CernVM-FS is a versioning file system, a historic analysis environment can be easily re-spawned by selecting the corresponding CernVM-FS file system snapshot.

  13. The man, the machine and the sacred: when the virtual reality reenchants the world

    Directory of Open Access Journals (Sweden)

    Olivier NANNIPIERI

    2011-01-01

    Full Text Available The rationality associated with the technical progress were able to let believe that the world became disillusioned. Now, far from disillusioning the world, certain technical devices reveal the sacred dimension inherent to any human activity. Indeed, paradoxically, we shall show that the human-machine interaction producing virtual environments is an experience of the sacred.

  14. Some measurements of Java-to-bytecode compiler performance in the Java Virtual Machine

    OpenAIRE

    Daly, Charles; Horgan, Jane; Power, James; Waldron, John

    2001-01-01

    In this paper we present a platform independent analysis of the dynamic profiles of Java programs when executing on the Java Virtual Machine. The Java programs selected are taken from the Java Grande Forum benchmark suite, and five different Java-to-bytecode compilers are analysed. The results presented describe the dynamic instruction usage frequencies.

  15. CloVR: a virtual machine for automated and portable sequence analysis from the desktop using cloud computing.

    Science.gov (United States)

    Angiuoli, Samuel V; Matalka, Malcolm; Gussman, Aaron; Galens, Kevin; Vangala, Mahesh; Riley, David R; Arze, Cesar; White, James R; White, Owen; Fricke, W Florian

    2011-08-30

    Next-generation sequencing technologies have decentralized sequence acquisition, increasing the demand for new bioinformatics tools that are easy to use, portable across multiple platforms, and scalable for high-throughput applications. Cloud computing platforms provide on-demand access to computing infrastructure over the Internet and can be used in combination with custom built virtual machines to distribute pre-packaged with pre-configured software. We describe the Cloud Virtual Resource, CloVR, a new desktop application for push-button automated sequence analysis that can utilize cloud computing resources. CloVR is implemented as a single portable virtual machine (VM) that provides several automated analysis pipelines for microbial genomics, including 16S, whole genome and metagenome sequence analysis. The CloVR VM runs on a personal computer, utilizes local computer resources and requires minimal installation, addressing key challenges in deploying bioinformatics workflows. In addition CloVR supports use of remote cloud computing resources to improve performance for large-scale sequence processing. In a case study, we demonstrate the use of CloVR to automatically process next-generation sequencing data on multiple cloud computing platforms. The CloVR VM and associated architecture lowers the barrier of entry for utilizing complex analysis protocols on both local single- and multi-core computers and cloud systems for high throughput data processing.

  16. Soft Compensation for CNC Crankshaft Grinding Machine Tool

    Directory of Open Access Journals (Sweden)

    Yongjun Liu

    2013-01-01

    Full Text Available Wear and deformation CNC grinding machine tool, will be aggravated over time ofwhich will influence the manufacturing precision. To reduce the effect, the soft compensation method by modifying NC instruction was put forward to maintain the manufacturing precision of CNC crankshaft grinding machine tool. The error sources were analyzed, the errors caused by grinding force were calculated, and the precise grinding kinematics model was deduced by the multibody kinematics. Numerical simulation and manufacturing experiment were carried out and the rank tests were taken for the manufactured crankshafts. Experiments show that the manufacturer precision of the crank can be enhanced by 63.69%, 52.06%, 42.27%, and 30.96% by soft compensation of 10 years of service life and 10 μm grinding depth, 4 years of service life and 10 μm grinding depth, 10 years ofservice life and 6 μm grinding depth, and 4 years of service life and 6 μm grinding depth, respectively. Soft compensation can be applied to the machine tool in which the manufacturer precision has declined and the NC instruction with compensation should be updated periodically.

  17. A Cross-Entropy-Based Admission Control Optimization Approach for Heterogeneous Virtual Machine Placement in Public Clouds

    OpenAIRE

    Li Pan; Datao Wang

    2016-01-01

    Virtualization technologies make it possible for cloud providers to consolidate multiple IaaS provisions into a single server in the form of virtual machines (VMs). Additionally, in order to fulfill the divergent service requirements from multiple users, a cloud provider needs to offer several types of VM instances, which are associated with varying configurations and performance, as well as different prices. In such a heterogeneous virtual machine placement process, one significant problem f...

  18. The Macroeconomic Context of Investments in the Field of Machine Tools in the Czech Republic

    National Research Council Canada - National Science Library

    Lucie Povolná; Jena Švarcová

    2017-01-01

    The article focuses on the macroeconomic analysis of production, export, import and investment in machine tools in the Czech Republic in the context of the initiative of Industry 4.0. Machine tools (MT...

  19. Evaluation of different SAN Technologies for virtual machine hosting

    OpenAIRE

    Lunden, Christian

    2009-01-01

    Master i nettverks- og systemadministrasjon This thesis covers a problem which companies faces every day: Finding a Storage Area Network(SAN) solution that tackles the rising demands from users and their software and when working with virtualization environments. In this paper it will be showed a way to investigate and identify, from a selection of SAN technologies, which is the most efficient and optimal based on scenarios that fits real life experiences. The approach taken wa...

  20. Integration of Virtual Machine Technologies into Hastily Formed Networks in Support of Humanitarian Relief and Disaster Recovery Missions

    Science.gov (United States)

    2011-12-01

    BGAN) .......31 2. Monterey County, CA, Very Small Aperture Terminal ( VSAT ) Trailers .....................33 3. 802.11s Wi-Fi Mesh...2011)......30 Figure 11. Monterey County VSAT Trailer Number Two.........35 Figure 12. Antenna Data Sheet (From HD Communications, 2011...Association UDP User Datagram Protocol VDI Virtual Desktop Infrastructure VM Virtual Machine VPN Virtual Private Network VSAT Very Small Aperture

  1. Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation

    Science.gov (United States)

    Voorsluys, William; Broberg, James; Venugopal, Srikumar; Buyya, Rajkumar

    Virtualization has become commonplace in modern data centers, often referred as "computing clouds". The capability of virtual machine live migration brings benefits such as improved performance, manageability and fault tolerance, while allowing workload movement with a short service downtime. However, service levels of applications are likely to be negatively affected during a live migration. For this reason, a better understanding of its effects on system performance is desirable. In this paper, we evaluate the effects of live migration of virtual machines on the performance of applications running inside Xen VMs. Results show that, in most cases, migration overhead is acceptable but cannot be disregarded, especially in systems where availability and responsiveness are governed by strict Service Level Agreements. Despite that, there is a high potential for live migration applicability in data centers serving modern Internet applications. Our results are based on a workload covering the domain of multi-tier Web 2.0 applications.

  2. An element search ant colony technique for solving virtual machine placement problem

    Science.gov (United States)

    Srija, J.; Rani John, Rose; Kanaga, Grace Mary, Dr.

    2017-09-01

    The data centres in the cloud environment play a key role in providing infrastructure for ubiquitous computing, pervasive computing, mobile computing etc. This computing technique tries to utilize the available resources in order to provide services. Hence maintaining the resource utilization without wastage of power consumption has become a challenging task for the researchers. In this paper we propose the direct guidance ant colony system for effective mapping of virtual machines to the physical machine with maximal resource utilization and minimal power consumption. The proposed algorithm has been compared with the existing ant colony approach which is involved in solving virtual machine placement problem and thus the proposed algorithm proves to provide better result than the existing technique.

  3. Applying machine learning techniques for forecasting flexibility of virtual power plants

    DEFF Research Database (Denmark)

    MacDougall, Pamela; Kosek, Anna Magdalena; Bindner, Henrik W.

    2016-01-01

    approach to investigating the longevity of aggregated response of a virtual power plant using historic bidding and aggregated behaviour with machine learning techniques. The two supervised machine learning techniques investigated and compared in this paper are, multivariate linear regression and single...... network as well as the multi-variant linear regression. It is found that it is possible to estimate the longevity of flexibility with machine learning. The linear regression algorithm is, on average, able to estimate the longevity with a 15% error. However, there was a significant improvement with the ANN...... algorithm achieving, on average, a 5.3% error. This is lowered 2.4% when learning for the same virtual power plant. With this information it would be possible to accurately offer residential VPP flexibility for market operations to safely avoid causing further imbalances and financial penalties....

  4. Virtual Reality as an Educational and Training Tool for Medicine.

    Science.gov (United States)

    Izard, Santiago González; Juanes, Juan A; García Peñalvo, Francisco J; Estella, Jesús Mª Gonçalvez; Ledesma, Mª José Sánchez; Ruisoto, Pablo

    2018-02-01

    Until very recently, we considered Virtual Reality as something that was very close, but it was still science fiction. However, today Virtual Reality is being integrated into many different areas of our lives, from videogames to different industrial use cases and, of course, it is starting to be used in medicine. There are two great general classifications for Virtual Reality. Firstly, we find a Virtual Reality in which we visualize a world completely created by computer, three-dimensional and where we can appreciate that the world we are visualizing is not real, at least for the moment as rendered images are improving very fast. Secondly, there is a Virtual Reality that basically consists of a reflection of our reality. This type of Virtual Reality is created using spherical or 360 images and videos, so we lose three-dimensional visualization capacity (until the 3D cameras are more developed), but on the other hand we gain in terms of realism in the images. We could also mention a third classification that merges the previous two, where virtual elements created by computer coexist with 360 images and videos. In this article we will show two systems that we have developed where each of them can be framed within one of the previous classifications, identifying the technologies used for their implementation as well as the advantages of each one. We will also analize how these systems can improve the current methodologies used for medical training. The implications of these developments as tools for teaching, learning and training are discussed.

  5. Harnessing virtual machines to simplify next-generation DNA sequencing analysis.

    Science.gov (United States)

    Nocq, Julie; Celton, Magalie; Gendron, Patrick; Lemieux, Sebastien; Wilhelm, Brian T

    2013-09-01

    The growth of next-generation sequencing (NGS) has not only dramatically accelerated the pace of research in the field of genomics, but it has also opened the door to personalized medicine and diagnostics. The resulting flood of data has led to the rapid development of large numbers of bioinformatic tools for data analysis, creating a challenging situation for researchers when choosing and configuring a variety of software for their analysis, and for other researchers trying to replicate their analysis. As NGS technology continues to expand from the research environment into clinical laboratories, the challenges associated with data analysis have the potential to slow the adoption of this technology. Here we discuss the potential of virtual machines (VMs) to be used as a method for sharing entire installations of NGS software (bioinformatic 'pipelines'). VMs are created by programs designed to allow multiple operating systems to co-exist on a single physical machine, and they can be made following the object-oriented paradigm of encapsulating data and methods together. This allows NGS data to be distributed within a VM, along with the pre-configured software for its analysis. Although VMs have historically suffered from poor performance relative to native operating systems, we present benchmarking results demonstrating that this reduced performance can now be minimized. We further discuss the many potential benefits of VMs as a solution for NGS analysis and describe several published examples. Lastly, we consider the benefits of VMs in facilitating the introduction of NGS technology into the clinical environment. brian.wilhelm@umontreal.ca.

  6. A Virtual Machine Migration Strategy Based on Time Series Workload Prediction Using Cloud Model

    Directory of Open Access Journals (Sweden)

    Yanbing Liu

    2014-01-01

    Full Text Available Aimed at resolving the issues of the imbalance of resources and workloads at data centers and the overhead together with the high cost of virtual machine (VM migrations, this paper proposes a new VM migration strategy which is based on the cloud model time series workload prediction algorithm. By setting the upper and lower workload bounds for host machines, forecasting the tendency of their subsequent workloads by creating a workload time series using the cloud model, and stipulating a general VM migration criterion workload-aware migration (WAM, the proposed strategy selects a source host machine, a destination host machine, and a VM on the source host machine carrying out the task of the VM migration. Experimental results and analyses show, through comparison with other peer research works, that the proposed method can effectively avoid VM migrations caused by momentary peak workload values, significantly lower the number of VM migrations, and dynamically reach and maintain a resource and workload balance for virtual machines promoting an improved utilization of resources in the entire data center.

  7. Generalized interactions using virtual tools within the spring framework: cutting

    Science.gov (United States)

    Montgomery, Kevin; Bruyns, Cynthia D.

    2002-01-01

    We present schemes for real-time generalized mesh cutting. Starting with the a basic example, we describe the details of implementing cutting on single and multiple surface objects as well as hybrid and volumetric meshes using virtual tools with single and multiple cutting surfaces. These methods have been implemented in a robust surgical simulation environment allowing us to model procedures ranging from animal dissection to cleft lip correction.

  8. Exploiting the ALICE HLT for PROOF by scheduling of Virtual Machines

    Science.gov (United States)

    Meoni, Marco; Boettger, Stefan; Zelnicek, Pierre; Lindenstruth, Volker; Kebschull, Udo

    2011-12-01

    The HLT (High-Level Trigger) group of the ALICE experiment at the LHC has prepared a virtual Parallel ROOT Facility (PROOF) enabled cluster (HAF - HLT Analysis Facility) for fast physics analysis, detector calibration and reconstruction of data samples. The HLT-Cluster currently consists of 2860 CPU cores and 175TB of storage. Its purpose is the online filtering of the relevant part of data produced by the particle detector. However, data taking is not running continuously and exploiting unused cluster resources for other applications is highly desirable and improves the usage-cost ratio of the HLT cluster. As such, unused computing resources are dedicated to a PROOF-enabled virtual cluster available to the entire collaboration. This setup is especially aimed at the prototyping phase of analyses that need a high number of development iterations and a short response time, e.g. tuning of analysis cuts, calibration and alignment. HAF machines are enabled and disabled upon user request to start or complete analysis tasks. This is achieved by a virtual machine scheduling framework which dynamically assigns and migrates virtual machines running PROOF workers to unused physical resources. Using this approach we extend the HLT usage scheme to running both online and offline computing, thereby optimizing the resource usage.

  9. Optimized Virtual Machine Placement with Traffic-Aware Balancing in Data Center Networks

    Directory of Open Access Journals (Sweden)

    Tao Chen

    2016-01-01

    Full Text Available Virtualization has been an efficient method to fully utilize computing resources such as servers. The way of placing virtual machines (VMs among a large pool of servers greatly affects the performance of data center networks (DCNs. As network resources have become a main bottleneck of the performance of DCNs, we concentrate on VM placement with Traffic-Aware Balancing to evenly utilize the links in DCNs. In this paper, we first proposed a Virtual Machine Placement Problem with Traffic-Aware Balancing (VMPPTB and then proved it to be NP-hard and designed a Longest Processing Time Based Placement algorithm (LPTBP algorithm to solve it. To take advantage of the communication locality, we proposed Locality-Aware Virtual Machine Placement Problem with Traffic-Aware Balancing (LVMPPTB, which is a multiobjective optimization problem of simultaneously minimizing the maximum number of VM partitions of requests and minimizing the maximum bandwidth occupancy on uplinks of Top of Rack (ToR switches. We also proved it to be NP-hard and designed a heuristic algorithm (Least-Load First Based Placement algorithm, LLBP algorithm to solve it. Through extensive simulations, the proposed heuristic algorithm is proven to significantly balance the bandwidth occupancy on uplinks of ToR switches, while keeping the number of VM partitions of each request small enough.

  10. Social Live Streaming tools for the development of Virtual Workshops

    Directory of Open Access Journals (Sweden)

    C. García-García

    2017-04-01

    This paper proposes the use of Social Live Streaming Tools in mobile devices in order to facilitate the development of creative workshops, using the virtual territory as co-creation area with the aim of promoting one-to-many communications, so that a lecturer can perform a mass communication, in real time and delocalized, without losing the possibility of interact with the audience. These tools also allow the possibility for each member of a creative team to swap between different roles (viewer at some times or lecturer at others, thus stimulating the creative process through social participation.

  11. Radiation Emergency Preparedness Tools: Virtual Community Reception Center

    Centers for Disease Control (CDC) Podcasts

    2011-02-28

    This podcast is an overview of resources from the Clinician Outreach and Communication Activity (COCA) Call: Practical Tools for Radiation Emergency Preparedness. A specialist working with CDC's Radiation Studies Branch describes a web-based training tool known as a Virtual Community Reception Center (vCRC).  Created: 2/28/2011 by National Center for Environmental Health (NCEH) Radiation Studies Branch and Emergency Risk Communication Branch (ERCB)/Joint Information Center (JIC); Office of Public Health Preparedness and Response (OPHPR).   Date Released: 2/28/2011.

  12. Design of a novel parallel reconfigurable machine tool

    CSIR Research Space (South Africa)

    Modungwa, D

    2008-06-01

    Full Text Available , University of Limerick, Ireland 1 Design of a Novel Parallel Reconfigurable Machine Tool D. Modungwa1*, N.S Tlale1, and C.M. Kumile2 1Department of Material Science and Manufacturing Council for Scientific and Industrial Research Pretoria, 0001, South... and the three blocks is employed to increase the rigidity of the entire structure, as opposed to having a single sub-structure. Mechatronics 2008, June 23 – 25, University of Limerick, Ireland 3 Figure 2.1: Conceptual Design of the PRMT...

  13. Simulation Process Analysis of Rubber Shock Absorber for Machine Tool

    Directory of Open Access Journals (Sweden)

    Chai Rong Xia

    2016-01-01

    Full Text Available The simulation on rubber shock absorber of machine tool was studied. The simple material model of rubber was obtained by through the finite element analysis software ABAQUS. The compression speed and the hardness of rubber material were considered to obtain the deformation law of rubber shock absorber. The location of fatigue were confirmed from the simulation results. The results shown that the fatigue position is distributed in the corner of shock absorber. The degree of deformation is increased with increasing of compress speed, and the hardness of rubber material is proportional to deformation.

  14. Laser beam machining of polycrystalline diamond for cutting tool manufacturing

    Science.gov (United States)

    Wyszyński, Dominik; Ostrowski, Robert; Zwolak, Marek; Bryk, Witold

    2017-10-01

    The paper concerns application of DPSS Nd: YAG 532nm pulse laser source for machining of polycrystalline WC based diamond inserts (PCD). The goal of the research was to determine optimal laser cutting parameters for cutting tool shaping. Basic criteria to reach the goal was cutting edge quality (minimalization of finishing operations), material removal rate (time and cost efficiency), choice of laser beam characteristics (polarization, power, focused beam diameter). The research was planned and realised and analysed according to design of experiment rules (DOE). The analysis of the cutting edge was prepared with use of Alicona Infinite Focus measurement system.

  15. Support Vector Machines as tools for mortality graduation

    Directory of Open Access Journals (Sweden)

    Anastasia Kostaki

    2012-07-01

    Full Text Available A topic of interest in demographic and biostatistical analysis as well as in actuarial practice,is the graduation of the age-specific mortality pattern. A classical graduation technique is to fit parametric models. Recently, particular emphasis has been given to graduation using nonparametric techniques. Support Vector Machines (SVM is an innovative methodology that could be utilized for mortality graduation purposes. This paper evaluates SVM techniques as tools for graduating mortality rates. We apply SVM to empirical death rates from a variety of populations and time periods. For comparison, we also apply standard graduation techniques to the same data.

  16. Support Vector Machines as tools for mortality graduation

    Directory of Open Access Journals (Sweden)

    Alberto Olivares

    2011-01-01

    Full Text Available A topic of interest in demographic and biostatistical analysis as well as in actuarial practice,is the graduation of the age-specific mortality pattern. A classical graduation technique is to fit parametric models. Recently, particular emphasis has been given to graduation using nonparametric techniques. Support Vector Machines (SVM is an innovative methodology that could be utilized for mortality graduation purposes. This paper evaluates SVM techniques as tools for graduating mortality rates. We apply SVM to empirical death rates from a variety of populations and time periods. For comparison, we also apply standard graduation techniques to the same data.

  17. A Load Balancing Scheme Using Federate Migration Based on Virtual Machines for Cloud Simulations

    Directory of Open Access Journals (Sweden)

    Xiao Song

    2015-01-01

    Full Text Available A maturing and promising technology, Cloud computing can benefit large-scale simulations by providing on-demand, anywhere simulation services to users. In order to enable multitask and multiuser simulation systems with Cloud computing, Cloud simulation platform (CSP was proposed and developed. To use key techniques of Cloud computing such as virtualization to promote the running efficiency of large-scale military HLA systems, this paper proposes a new type of federate container, virtual machine (VM, and its dynamic migration algorithm considering both computation and communication cost. Experiments show that the migration scheme effectively improves the running efficiency of HLA system when the distributed system is not saturated.

  18. Tool material, tool wear and machined hole quality evaluation at CFRP drilling

    Directory of Open Access Journals (Sweden)

    Jugrestan Claudiu-Ioan

    2017-01-01

    Full Text Available Because of increasingly stricter safety rules, requirements regarding the quality of the components used in the airline industry have increased. Besides the materials used in aircraft components and areas where they are machined, these components must comply certain standards for quality and tolerances of the machined surfaces.Due to high hardness of carbon fibers, hole machining in carbon fiber reinforced plastics has always been a challenge. Wear that occurs in the cutting tool leads to the appearance of workpiece defects such as delamination, peeling, fiber pulling out, etc. Besides cutting tool geometry, a very important role on tool wear, it is owned by the material from which it is made. This paper will make a quantitative assessment of defects that occur in the process of CFRP (carbon fiber reinforced plastics drilling and a cutting tool wear evaluation. In order to obtain conclusive results for this study will be used three drill bits with the same geometry but different carbides.The aim of this paper is to find which one of this three carbide used is more feasible for holes machining in composite materials reinforced with carbon fibers.

  19. Universal Tool Grinder Operator Instructor's Guide. Part of Single-Tool Skills Program Machine Industries Occupations.

    Science.gov (United States)

    New York State Education Dept., Albany. Div. of Curriculum Development.

    The document is an instructor's guide for a course on universal tool grinder operation. The course is designed to train people in making complicated machine setups and precision in the grinding operations and, although intended primarily for adult learners, it can be adapted for high school use. The guide is divided into three parts: (1) the…

  20. Exploiting GPUs in Virtual Machine for BioCloud

    Directory of Open Access Journals (Sweden)

    Heeseung Jo

    2013-01-01

    Full Text Available Recently, biological applications start to be reimplemented into the applications which exploit many cores of GPUs for better computation performance. Therefore, by providing virtualized GPUs to VMs in cloud computing environment, many biological applications will willingly move into cloud environment to enhance their computation performance and utilize infinite cloud computing resource while reducing expenses for computations. In this paper, we propose a BioCloud system architecture that enables VMs to use GPUs in cloud environment. Because much of the previous research has focused on the sharing mechanism of GPUs among VMs, they cannot achieve enough performance for biological applications of which computation throughput is more crucial rather than sharing. The proposed system exploits the pass-through mode of PCI express (PCI-E channel. By making each VM be able to access underlying GPUs directly, applications can show almost the same performance as when those are in native environment. In addition, our scheme multiplexes GPUs by using hot plug-in/out device features of PCI-E channel. By adding or removing GPUs in each VM in on-demand manner, VMs in the same physical host can time-share their GPUs. We implemented the proposed system using the Xen VMM and NVIDIA GPUs and showed that our prototype is highly effective for biological GPU applications in cloud environment.

  1. Exploiting GPUs in Virtual Machine for BioCloud

    Science.gov (United States)

    Jo, Heeseung; Jeong, Jinkyu; Lee, Myoungho; Choi, Dong Hoon

    2013-01-01

    Recently, biological applications start to be reimplemented into the applications which exploit many cores of GPUs for better computation performance. Therefore, by providing virtualized GPUs to VMs in cloud computing environment, many biological applications will willingly move into cloud environment to enhance their computation performance and utilize infinite cloud computing resource while reducing expenses for computations. In this paper, we propose a BioCloud system architecture that enables VMs to use GPUs in cloud environment. Because much of the previous research has focused on the sharing mechanism of GPUs among VMs, they cannot achieve enough performance for biological applications of which computation throughput is more crucial rather than sharing. The proposed system exploits the pass-through mode of PCI express (PCI-E) channel. By making each VM be able to access underlying GPUs directly, applications can show almost the same performance as when those are in native environment. In addition, our scheme multiplexes GPUs by using hot plug-in/out device features of PCI-E channel. By adding or removing GPUs in each VM in on-demand manner, VMs in the same physical host can time-share their GPUs. We implemented the proposed system using the Xen VMM and NVIDIA GPUs and showed that our prototype is highly effective for biological GPU applications in cloud environment. PMID:23710465

  2. THE CONFORMITY OF MACHINE TOOLS WITH RESPECT TO EUROPEAN SAFETY STANDARDS

    CERN Multimedia

    TIS/TE

    2001-01-01

    European regulations require that all motorized machine tools conform to the latest safety standards by the end of the year 2000. CERN must follow these regulations and has already modified most of its machine tools accordingly. However, there is still a small number of machine tools which have not yet been modified as required. These machines should not be used until they are brought up to the required safety standards, failing which the machines should be discarded. One can recognise which machine tools conform with the latest standards by the indication 'CS' on the identification plate of the machine, see foto below. In cases of doubt about the status of a machine tool you should contact K. Altherr/EST or C. Margaroli/TIS for advice.

  3. THE CONFORMITY OF MACHINE TOOLS WITH RESPECT TO EUROPEAN SAFETY STANDARDS

    CERN Multimedia

    TIS/TE

    2000-01-01

    European regulations require that all motorized machine tools conform to the latest safety standards by the end of the year 2000. CERN must follow these regulations and has already modified most of its machine tools accordingly. However, there is still a small number of machine tools which have not yet been modified as required. These machines should not be used until they are brought up to the required safety standards, failing which the machines should be discarded. One can recognise which machine tools conform with the latest standards by the indication 'CS' on the identification plate of the machine, see foto below. In cases of doubt about the status of a machine tool you should contact K. Altherr/EST or C. Margaroli/TIS for advice.

  4. Human Functions, Machine Tools, and the Role of the Analyst

    Directory of Open Access Journals (Sweden)

    Gordon R. Middleton

    2015-09-01

    Full Text Available In an era of rapidly increasing technical capability, the intelligence focus is often on the modes of collection and tools of analysis rather than the analyst themselves. Data are proliferating and so are tools to help analysts deal with the flood of data and the increasingly demanding timeline for intelligence production, but the role of the analyst in such a data-driven environment needs to be understood in order to support key management decisions (e.g., training and investment priorities. This paper describes a model of the analytic process, and analyzes the roles played by humans and machine tools in each process element. It concludes that human analytic functions are as critical in the intelligence process as they have ever been, and perhaps even more so due to the advance of technology in the intelligence business. Human functions performed by analysts are critical in nearly every step in the process, particularly at the front end of the analytic process, in defining and refining the problem statement, and at the end of the process, in generating knowledge, presenting the story in understandable terms, tailoring the presentation of the results of the analysis to various audiences, as well as in determining when to initiate iterative loops in the process. The paper concludes with observations on the necessity of enabling expert analysts, tools to deal with big data, developing analysts with advanced analytic methods as well as with techniques for optimal use of advanced tools, and suggestions for further quantitative research.

  5. Stability analysis of machine tool spindle under uncertainty

    Directory of Open Access Journals (Sweden)

    Wei Dou

    2016-05-01

    Full Text Available Chatter is a harmful machining vibration that occurs between the workpiece and the cutting tool, usually resulting in irregular flaw streaks on the finished surface and severe tool wear. Stability lobe diagrams could predict chatter by providing graphical representations of the stable combinations of the axial depth of the cut and spindle speed. In this article, the analytical model of a spindle system is constructed, including a Timoshenko beam rotating shaft model and double sets of angular contact ball bearings with 5 degrees of freedom. Then, the stability lobe diagram of the model is developed according to its dynamic properties. The Monte Carlo method is applied to analyse the bearing preload influence on the system stability with uncertainty taken into account.

  6. Virtual cystoscopy--a surgical planning and guidance tool.

    Science.gov (United States)

    Braticevici, Bogdan; Onu, Mihaela; Bengus, Florentin

    2006-03-01

    Image guided-surgery systems facilitates surgical planning phases of endoscopic procedures. In this paper, we used a software package for 3D surface model generation and vizualization of the urinary bladder, based on magnetic resonance (MR) cross sectional images of the pelvis. The patients group consisted in 6 patients diagnosed with urinary bladder tumour. They were submitted to MRI exam. Twelve consecutive cross sectional images of the pelvis were aquired (TR (repetition time) = 600 msec, TE (echo time) = 19 msec, slice thickness = 6 divided by 7 mm, FOV (field of view) = 36 cm. All these images were transferred to a personal computer running the 3DSlicer software. We obtained, for each patient, a 3D model of the pelvis including the urinary bladder. In This way, the surgical enviroment was simulated and we are able to investigate the bladder by virtual cystoscopy. The virtual endoscopy may be used as a tool in the preoperative training and in surgical planning.

  7. Lifelong personal health data and application software via virtual machines in the cloud.

    Science.gov (United States)

    Van Gorp, Pieter; Comuzzi, Marco

    2014-01-01

    Personal Health Records (PHRs) should remain the lifelong property of patients, who should be able to show them conveniently and securely to selected caregivers and institutions. In this paper, we present MyPHRMachines, a cloud-based PHR system taking a radically new architectural solution to health record portability. In MyPHRMachines, health-related data and the application software to view and/or analyze it are separately deployed in the PHR system. After uploading their medical data to MyPHRMachines, patients can access them again from remote virtual machines that contain the right software to visualize and analyze them without any need for conversion. Patients can share their remote virtual machine session with selected caregivers, who will need only a Web browser to access the pre-loaded fragments of their lifelong PHR. We discuss a prototype of MyPHRMachines applied to two use cases, i.e., radiology image sharing and personalized medicine.

  8. Impact of Machine Virtualization on Timing Precision for Performance-critical Tasks

    Science.gov (United States)

    Karpov, Kirill; Fedotova, Irina; Siemens, Eduard

    2017-07-01

    In this paper we present a measurement study to characterize the impact of hardware virtualization on basic software timing, as well as on precise sleep operations of an operating system. We investigated how timer hardware is shared among heavily CPU-, I/O- and Network-bound tasks on a virtual machine as well as on the host machine. VMware ESXi and QEMU/KVM have been chosen as commonly used examples of hypervisor- and host-based models. Based on statistical parameters of retrieved distributions, our results provide a very good estimation of timing behavior. It is essential for real-time and performance-critical applications such as image processing or real-time control.

  9. Machine tool accuracy characterization workshops. Final report, May 5, 1992--November 5 1993

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-01-06

    The ability to assess the accuracy of machine tools is required by both tool builders and users. Builders must have this ability in order to predict the accuracy capability of a machine tool for different part geometry`s, to provide verifiable accuracy information for sales purposes, and to locate error sources for maintenance, troubleshooting, and design enhancement. Users require the same ability in order to make intelligent choices in selecting or procuring machine tools, to predict component manufacturing accuracy, and to perform maintenance and troubleshooting. In both instances, the ability to fully evaluate the accuracy capabilities of a machine tool and the source of its limitations is essential for using the tool to its maximum accuracy and productivity potential. This project was designed to transfer expertise in modern machine tool accuracy testing methods from LLNL to US industry, and to educate users on the use and application of emerging standards for machine tool performance testing.

  10. Process Machine Interactions Predicition and Manipulation of Interactions between Manufacturing Processes and Machine Tool Structures

    CERN Document Server

    Hollmann, Ferdinand

    2013-01-01

    This contributed volume collects the scientific results of the DFG Priority Program 1180 Prediction and Manipulation of Interactions between Structure and Process. The research program has been conducted during the years 2005 and 2012, whereas the primary goal was the analysis of the interactions between processes and structures in modern production facilities. This book presents the findings of the 20 interdisciplinary subprojects, focusing on different manufacturing processes such as high performance milling, tool grinding or metal forming. It contains experimental investigations as well as mathematical modeling of production processes and machine interactions. New experimental advancements and novel simulation approaches are also included.

  11. Virtual Synchronous Machine-based Power Control in Active Rectifiers for Micro Grids

    OpenAIRE

    Perera, Aravinda

    2012-01-01

    This dissertation presents an analytical study on virtual synchronous machine-based power control in active rectifiers for micro grids supported by prototype modelling, simulation results and discussions.Popularity and demand of the distributed energy resources and renewable energy sources are increasing due to their economic and environmental friendliness. Concept of micro grid with an active rectifier (AR) interface has been found to be promising for smart integration of such distributed ge...

  12. A Virtual Inertia Control Strategy for DC Microgrids Analogized with Virtual Synchronous Machines

    DEFF Research Database (Denmark)

    Wu, Wenhua; Chen, Yandong; Luo, An

    2017-01-01

    synchronous machine (VSM) is proposed to enhance the inertia of the DC-MG, and to restrain the dc bus voltage fluctuation. The small-signal model of the BGC system is established, and the small-signal transfer function between the dc bus voltage and the dc output current of the BGC is deduced. The dynamic...

  13. Decomposed multi-objective bin-packing for virtual machine consolidation

    Directory of Open Access Journals (Sweden)

    Eli M. Dow

    2016-02-01

    Full Text Available In this paper, we describe a novel solution to the problem of virtual machine (VM consolidation, otherwise known as VM-Packing, as applicable to Infrastructure-as-a-Service cloud data centers. Our solution relies on the observation that virtual machines are not infinitely variable in resource consumption. Generally, cloud compute providers offer them in fixed resource allocations. Effectively this makes all VMs of that allocation type (or instance type generally interchangeable for the purposes of consolidation from a cloud compute provider viewpoint. The main contribution of this work is to demonstrate the advantages to our approach of deconstructing the VM consolidation problem into a two-step process of multidimensional bin packing. The first step is to determine the optimal, but abstract, solution composed of finite groups of equivalent VMs that should reside on each host. The second step selects concrete VMs from the managed compute pool to satisfy the optimal abstract solution while enforcing anti-colocation and preferential colocation of the virtual machines through VM contracts. We demonstrate our high-performance, deterministic packing solution generation, with over 7,500 VMs packed in under 2 min. We demonstrating comparable runtimes to other VM management solutions published in the literature allowing for favorable extrapolations of the prior work in the field in order to deal with larger VM management problem sizes our solution scales to.

  14. The Design and Realization of Virtual Machine of Embedded Soft PLC Running System

    Directory of Open Access Journals (Sweden)

    Qingzhao Zeng

    2014-11-01

    Full Text Available Currently soft PLC has been the focus of study object for many countries. Soft PLC system consists of the developing system and running system. A Virtual Machine is an important part in running system even in the whole soft PLC system. It explains and performs intermediate code generated by the developing system and updates I/O status of PLC in order to complete its control function. This paper introduced the implementation scheme and execution process of the embedded soft PLC running system Virtual Machine, and mainly introduced its software implementation method, including the realization of the input sampling program, the realization of the instruction execution program and the realization of output refresh program. Besides, an operation code matching method was put forward in the instruction execution program design. Finally, the test takes PowerPC/P1010 (Freescale as the hardware platform and Vxworks as the operating system, the system test result shows that accuracy, the real-time performance and reliability of Virtual Machine.

  15. A Virtual Astronomical Research Machine in No Time (VARMiNT)

    Science.gov (United States)

    Beaver, John

    2012-05-01

    We present early results of using virtual machine software to help make astronomical research computing accessible to a wider range of individuals. Our Virtual Astronomical Research Machine in No Time (VARMiNT) is an Ubuntu Linux virtual machine with free, open-source software already installed and configured (and in many cases documented). The purpose of VARMiNT is to provide a ready-to-go astronomical research computing environment that can be freely shared between researchers, or between amateur and professional, teacher and student, etc., and to circumvent the often-difficult task of configuring a suitable computing environment from scratch. Thus we hope that VARMiNT will make it easier for individuals to engage in research computing even if they have no ready access to the facilities of a research institution. We describe our current version of VARMiNT and some of the ways it is being used at the University of Wisconsin - Fox Valley, a two-year teaching campus of the University of Wisconsin System, as a means to enhance student independent study research projects and to facilitate collaborations with researchers at other locations. We also outline some future plans and prospects.

  16. Application of Virtual Synchronous Machines for Integration of Offshore Wind Turbines into the Power System of Offshore Oil and Gas Platforms

    OpenAIRE

    Mathisen, Eivind Risan

    2016-01-01

    This thesis addresses the technology known as "Virtual Synchronous Machines" and studies an application where it is used to integrate offshore wind turbines into the power systems of oil and gas platforms. The virtual synchronous machine is a technology which involves the controlling of an electric power converter in order to mimic the properties of a traditional synchronous machine. This thesis studies a fictional system where the virtual synchronous machine control strategy is applied to a ...

  17. An innovative virtual reality training tool for orthognathic surgery.

    Science.gov (United States)

    Pulijala, Y; Ma, M; Pears, M; Peebles, D; Ayoub, A

    2018-02-01

    Virtual reality (VR) surgery using Oculus Rift and Leap Motion devices is a multi-sensory, holistic surgical training experience. A multimedia combination including 360° videos, three-dimensional interaction, and stereoscopic videos in VR has been developed to enable trainees to experience a realistic surgery environment. The innovation allows trainees to interact with the individual components of the maxillofacial anatomy and apply surgical instruments while watching close-up stereoscopic three-dimensional videos of the surgery. In this study, a novel training tool for Le Fort I osteotomy based on immersive virtual reality (iVR) was developed and validated. Seven consultant oral and maxillofacial surgeons evaluated the application for face and content validity. Using a structured assessment process, the surgeons commented on the content of the developed training tool, its realism and usability, and the applicability of VR surgery for orthognathic surgical training. The results confirmed the clinical applicability of VR for delivering training in orthognathic surgery. Modifications were suggested to improve the user experience and interactions with the surgical instruments. This training tool is ready for testing with surgical trainees. Copyright © 2018 International Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.

  18. sRNAtoolboxVM: Small RNA Analysis in a Virtual Machine.

    Science.gov (United States)

    Gómez-Martín, Cristina; Lebrón, Ricardo; Rueda, Antonio; Oliver, José L; Hackenberg, Michael

    2017-01-01

    High-throughput sequencing (HTS) data for small RNAs (noncoding RNA molecules that are 20-250 nucleotides in length) can now be routinely generated by minimally equipped wet laboratories; however, the bottleneck in HTS-based research has shifted now to the analysis of such huge amount of data. One of the reasons is that many analysis types require a Linux environment but computers, system administrators, and bioinformaticians suppose additional costs that often cannot be afforded by small to mid-sized groups or laboratories. Web servers are an alternative that can be used if the data is not subjected to privacy issues (what very often is an important issue with medical data). However, in any case they are less flexible than stand-alone programs limiting the number of workflows and analysis types that can be carried out.We show in this protocol how virtual machines can be used to overcome those problems and limitations. sRNAtoolboxVM is a virtual machine that can be executed on all common operating systems through virtualization programs like VirtualBox or VMware, providing the user with a high number of preinstalled programs like sRNAbench for small RNA analysis without the need to maintain additional servers and/or operating systems.

  19. Simultaneous Scheduling of Jobs, AGVs and Tools Considering Tool Transfer Times in Multi Machine FMS By SOS Algorithm

    Science.gov (United States)

    Sivarami Reddy, N.; Ramamurthy, D. V., Dr.; Prahlada Rao, K., Dr.

    2017-08-01

    This article addresses simultaneous scheduling of machines, AGVs and tools where machines are allowed to share the tools considering transfer times of jobs and tools between machines, to generate best optimal sequences that minimize makespan in a multi-machine Flexible Manufacturing System (FMS). Performance of FMS is expected to improve by effective utilization of its resources, by proper integration and synchronization of their scheduling. Symbiotic Organisms Search (SOS) algorithm is a potent tool which is a better alternative for solving optimization problems like scheduling and proven itself. The proposed SOS algorithm is tested on 22 job sets with makespan as objective for scheduling of machines and tools where machines are allowed to share tools without considering transfer times of jobs and tools and the results are compared with the results of existing methods. The results show that the SOS has outperformed. The same SOS algorithm is used for simultaneous scheduling of machines, AGVs and tools where machines are allowed to share tools considering transfer times of jobs and tools to determine the best optimal sequences that minimize makespan.

  20. Quality of clinical brain tumor MR spectra judged by humans and machine learning tools.

    Science.gov (United States)

    Kyathanahally, Sreenath P; Mocioiu, Victor; Pedrosa de Barros, Nuno; Slotboom, Johannes; Wright, Alan J; Julià-Sapé, Margarida; Arús, Carles; Kreis, Roland

    2017-10-10

    To investigate and compare human judgment and machine learning tools for quality assessment of clinical MR spectra of brain tumors. A very large set of 2574 single voxel spectra with short and long echo time from the eTUMOUR and INTERPRET databases were used for this analysis. Original human quality ratings from these studies as well as new human guidelines were used to train different machine learning algorithms for automatic quality control (AQC) based on various feature extraction methods and classification tools. The performance was compared with variance in human judgment. AQC built using the RUSBoost classifier that combats imbalanced training data performed best. When furnished with a large range of spectral and derived features where the most crucial ones had been selected by the TreeBagger algorithm it showed better specificity (98%) in judging spectra from an independent test-set than previously published methods. Optimal performance was reached with a virtual three-class ranking system. Our results suggest that feature space should be relatively large for the case of MR tumor spectra and that three-class labels may be beneficial for AQC. The best AQC algorithm showed a performance in rejecting spectra that was comparable to that of a panel of human expert spectroscopists. Magn Reson Med, 2017. © 2017 International Society for Magnetic Resonance in Medicine. © 2017 International Society for Magnetic Resonance in Medicine.

  1. MyChEMBL: A Virtual Platform for Distributing Cheminformatics Tools and Open Data

    National Research Council Canada - National Science Library

    Mark Davies; Michal Nowotka; George Papadatos; Francis Atkinson; Gerard J P VanWesten; Nathan Dedman; Rodrigo Ochoa; John P Overington

    2014-01-01

      MyChEMBL is an open virtual platform which provides a free, secure, standardised and easy to use chemoinformatics environment for bioactivity data mining, machine learning, application development...

  2. Modeling of tool path for the CNC sheet cutting machines

    Science.gov (United States)

    Petunin, Aleksandr A.

    2015-11-01

    In the paper the problem of tool path optimization for CNC (Computer Numerical Control) cutting machines is considered. The classification of the cutting techniques is offered. We also propose a new classification of toll path problems. The tasks of cost minimization and time minimization for standard cutting technique (Continuous Cutting Problem, CCP) and for one of non-standard cutting techniques (Segment Continuous Cutting Problem, SCCP) are formalized. We show that the optimization tasks can be interpreted as discrete optimization problem (generalized travel salesman problem with additional constraints, GTSP). Formalization of some constraints for these tasks is described. For the solution GTSP we offer to use mathematical model of Prof. Chentsov based on concept of a megalopolis and dynamic programming.

  3. The Research Tools of the Virtual Astronomical Observatory

    Science.gov (United States)

    Hanisch, Robert J.; Berriman, G. B.; Lazio, T. J.; Project, VAO

    2013-01-01

    Astronomy is being transformed by the vast quantities of data, models, and simulations that are becoming available to astronomers at an ever-accelerating rate. The U.S. Virtual Astronomical Observatory (VAO) has been funded to provide an operational facility that is intended to be a resource for discovery and access of data, and to provide science services that use these data. Over the course of the past year, the VAO has been developing and releasing for community use five science tools: 1) "Iris", for dynamically building and analyzing spectral energy distributions, 2) a web-based data discovery tool that allows astronomers to identify and retrieve catalog, image, and spectral data on sources of interest, 3) a scalable cross-comparison service that allows astronomers to conduct pair-wise positional matches between very large catalogs stored remotely as well as between remote and local catalogs, 4) time series tools that allow astronomers to compute periodograms of the public data held at the NASA Star and Exoplanet Database (NStED) and the Harvard Time Series Center, and 5) A VO-aware release of the Image Reduction and Analysis Facility (IRAF) that provides transparent access to VO-available data collections and is SAMP-enabled, so that IRAF users can easily use tools such as Aladin and Topcat in conjuction with IRAF tasks. Additional VAO services will be built to make it easy for researchers to provide access to their data in VO-compliant ways, to build VO-enabled custom applications in Python, and to respond generally to the growing size and complexity of astronomy data. Acknowledgements: The Virtual Astronomical Observatory (VAO) is managed by the VAO, LLC, a non-profit company established as a partnership of the Associated Universities, Inc. and the Association of Universities for Research in Astronomy, Inc. The VAO is sponsored by the National Science Foundation and the National Aeronautics and Space Administration.

  4. Small machine tools for small workpieces final report of the DFG priority program 1476

    CERN Document Server

    Sanders, Adam

    2017-01-01

    This contributed volume presents the research results of the program “Small machine tools for small work pieces” (SPP 1476), funded by the German Research Society (DFG). The book contains the final report of the priority program, presenting novel approached for size-adapted, reconfigurable micro machine tools. The target audience primarily comprises research experts and practitioners in the field of micro machine tools, but the book may also be beneficial for graduate students.

  5. Actualities and Development of Heavy-Duty CNC Machine Tool Thermal Error Monitoring Technology

    Science.gov (United States)

    Zhou, Zu-De; Gui, Lin; Tan, Yue-Gang; Liu, Ming-Yao; Liu, Yi; Li, Rui-Ya

    2017-09-01

    Thermal error monitoring technology is the key technological support to solve the thermal error problem of heavy-duty CNC (computer numerical control) machine tools. Currently, there are many review literatures introducing the thermal error research of CNC machine tools, but those mainly focus on the thermal issues in small and medium-sized CNC machine tools and seldom introduce thermal error monitoring technologies. This paper gives an overview of the research on the thermal error of CNC machine tools and emphasizes the study of thermal error of the heavy-duty CNC machine tool in three areas. These areas are the causes of thermal error of heavy-duty CNC machine tool and the issues with the temperature monitoring technology and thermal deformation monitoring technology. A new optical measurement technology called the "fiber Bragg grating (FBG) distributed sensing technology" for heavy-duty CNC machine tools is introduced in detail. This technology forms an intelligent sensing and monitoring system for heavy-duty CNC machine tools. This paper fills in the blank of this kind of review articles to guide the development of this industry field and opens up new areas of research on the heavy-duty CNC machine tool thermal error.

  6. TECHNOLOGY AND KNOWLEDGE TRANSFER THE MACHINE TOOL INDUSTRY THE UNITED STATES AND GERMANY, 1870-1930

    Directory of Open Access Journals (Sweden)

    Ralf Richter

    2008-01-01

    Full Text Available Machine tools play central in the discussion about economic growth. It is widely believed that the production and use of different types of machine tools in the US and Europe indicate the predominance of different production systems on each side of the Atlantic. By examining the technology and knowledge transfer in the machine tool industry between the US and Germany, the paper challenges this dichotomous model. It can demonstrated that, instead of fundamentally different paths of development, there was a highly interdependent machine tool community exchanging technology and knowledge on an extraordinary level.

  7. Translation of State Machines from Equational Theories into Rewrite Theories with Tool Support

    National Research Council Canada - National Science Library

    ZHANG, Min; OGATA, Kazuhiro; NAKAMURA, Masaki

    2011-01-01

    This paper presents a strategy together with tool support for the translation of state machines from equational theories into rewrite theories, aiming at automatically generating rewrite theory specifications...

  8. A Firefly Colony and Its Fuzzy Approach for Server Consolidation and Virtual Machine Placement in Cloud Datacenters

    Directory of Open Access Journals (Sweden)

    Boominathan Perumal

    2016-01-01

    Full Text Available Managing cloud datacenters is the most prevailing challenging task ahead for the IT industries. The data centers are considered to be the main source for resource provisioning to the cloud users. Managing these resources to handle large number of virtual machine requests has created the need for heuristic optimization algorithms to provide the optimal placement strategies satisfying the objectives and constraints formulated. In this paper, we propose to apply firefly colony and fuzzy firefly colony optimization algorithms to solve two key issues of datacenters, namely, server consolidation and multiobjective virtual machine placement problem. The server consolidation aims to minimize the count of physical machines used and the virtual machine placement problem is to obtain optimal placement strategy with both minimum power consumption and resource wastage. The proposed techniques exhibit better performance than the heuristics and metaheuristic approaches considered in terms of server consolidation and finding optimal placement strategy.

  9. A Design to Digitalize Hydraulic Cylinder Control of a Machine Tool ...

    African Journals Online (AJOL)

    Conventionally hydraulic piston - cylinder servos are actuated using analogue controls for machine tool axis drives. In this paper a design of the axis control system of an NC milling machine which employs a small stepping motor to digitally actuated hydraulic piston - cylinder servo drives existing on the machines Y-axis is ...

  10. Checking the Geometric Accuracy of a Machine Tool for Selected Geometric Parameters

    Directory of Open Access Journals (Sweden)

    Adam Janásek

    2012-01-01

    Full Text Available This paper deals with the control parameters for selected geometric accuracy measurements for a machine tool. The parameters were needed after a refurbished milling machine was purchased. After setting up the machine, it was necessary to check the geometric accuracy that can be used for precise milling. The whole check was performed in accordance with ISO 10791. Only selected parameters of geometric accuracy were inspected, and they were later compared with the prescribed values. On the basis of a comparison of these values we were able to determine whether the machine tool can be used for accurate machining.

  11. Global Detection of Live Virtual Machine Migration Based on Cellular Neural Networks

    Directory of Open Access Journals (Sweden)

    Kang Xie

    2014-01-01

    Full Text Available In order to meet the demands of operation monitoring of large scale, autoscaling, and heterogeneous virtual resources in the existing cloud computing, a new method of live virtual machine (VM migration detection algorithm based on the cellular neural networks (CNNs, is presented. Through analyzing the detection process, the parameter relationship of CNN is mapped as an optimization problem, in which improved particle swarm optimization algorithm based on bubble sort is used to solve the problem. Experimental results demonstrate that the proposed method can display the VM migration processing intuitively. Compared with the best fit heuristic algorithm, this approach reduces the processing time, and emerging evidence has indicated that this new approach is affordable to parallelism and analog very large scale integration (VLSI implementation allowing the VM migration detection to be performed better.

  12. Analysis on machine tool systems using spindle vibration monitoring for automatic tool changer

    Directory of Open Access Journals (Sweden)

    Shang-Liang Chen

    2015-12-01

    Full Text Available Recently, the intelligent systems of technology have become one of the major items in the development of machine tools. One crucial technology is the machinery status monitoring function, which is required for abnormal warnings and the improvement of cutting efficiency. During processing, the mobility act of the spindle unit determines the most frequent and important part such as automatic tool changer. The vibration detection system includes the development of hardware and software, such as vibration meter, signal acquisition card, data processing platform, and machine control program. Meanwhile, based on the difference between the mechanical configuration and the desired characteristics, it is difficult for a vibration detection system to directly choose the commercially available kits. For this reason, it was also selected as an item for self-development research, along with the exploration of a significant parametric study that is sufficient to represent the machine characteristics and states. However, we also launched the development of functional parts of the system simultaneously. Finally, we entered the conditions and the parameters generated from both the states and the characteristics into the developed system to verify its feasibility.

  13. The Needs of Virtual Machines Implementation in Private Cloud Computing Environment

    Directory of Open Access Journals (Sweden)

    Edy Kristianto

    2015-12-01

    Full Text Available The Internet of Things (IOT becomes the purpose of the development of information and communication technology. Cloud computing has a very important role in supporting the IOT, because cloud computing allows to provide services in the form of infrastructure (IaaS, platform (PaaS, and Software (SaaS for its users. One of the fundamental services is infrastructure as a service (IaaS. This study analyzed the requirement that there must be based on a framework of NIST to realize infrastructure as a service in the form of a virtual machine to be built in a cloud computing environment.

  14. Thinking computers and virtual persons essays on the intentionality of machines

    CERN Document Server

    Dietrich, Eric

    1994-01-01

    Thinking Computers and Virtual Persons: Essays on the Intentionality of Machines explains how computations are meaningful and how computers can be cognitive agents like humans. This book focuses on the concept that cognition is computation.Organized into four parts encompassing 13 chapters, this book begins with an overview of the analogy between intentionality and phlogiston, the 17th-century principle of burning. This text then examines the objection to computationalism that it cannot prevent arbitrary attributions of content to the various data structures and representations involved in a c

  15. The diagnostic path, a useful visualisation tool in virtual microscopy

    Directory of Open Access Journals (Sweden)

    Hufnagl Peter

    2006-11-01

    Full Text Available Abstract Background The Virtual Microscopy based on completely digitalised histological slide. Concerning this digitalisation many new features in mircoscopy can be processed by the computer. New applications are possible or old, well known techniques of image analyses can be adapted for routine use. Aims A so called diagnostic path observes in the way of a professional sees through a histological virtual slide combined with the text information of the dictation process. This feature can be used for image retrieval, quality assurance or for educational purpose. Materials and methods The diagnostic path implements a metadata structure of image information. It stores and processes the different images seen by a pathologist during his "slide viewing" and the obtained image sequence ("observation path". Contemporary, the structural details of the pathology reports were analysed. The results were transferred into an XML structure. Based on this structure, a report editor and a search function were implemented. The report editor compiles the "diagnostic path", which is the connection from the image viewing sequence ("observation path" and the oral report sequence of the findings ("dictation path". The time set ups of speech and image viewing serve for the link between the two sequences. The search tool uses the obtained diagnostic path. It allows the user to search for particular histological hallmarks in pathology reports and in the corresponding images. Results The new algorithm was tested on 50 pathology reports and 74 attached histological images. The creation of a new individual diagnostic path is automatically performed during the routine diagnostic process. The test prototype experienced an insignificant prolongation of the diagnosis procedure (oral case description and stated diagnosis by the pathologist and a fast and reliable retrieval, especially useful for continuous education and quality control of case description and diagnostic work

  16. Search for bright nearby M dwarfs with virtual observatory tools

    Energy Technology Data Exchange (ETDEWEB)

    Aberasturi, M.; Caballero, J. A.; Montesinos, B.; Gálvez-Ortiz, M. C.; Solano, E.; Martín, E. L. [Centro de Astrobiología (CSIC-INTA), Departamento de Astrofísica, P.O. Box 78, E-28691 Villanueva de la Cañada, Madrid (Spain)

    2014-08-01

    Using Virtual Observatory tools, we cross-matched the Carlsberg Meridian 14 and the 2MASS Point Source catalogs to select candidate nearby bright M dwarfs distributed over ∼25,000 deg{sup 2}. Here, we present reconnaissance low-resolution optical spectra for 27 candidates that were observed with the Intermediate Dispersion Spectrograph at the 2.5 m Isaac Newton Telescope (R≈ 1600). We derived spectral types from a new spectral index, R, which measures the ratio of fluxes at 7485-7015 Å and 7120-7150 Å. We also used VOSA, a Virtual Observatory tool for spectral energy distribution fitting, to derive effective temperatures and surface gravities for each candidate. The resulting 27 targets were M dwarfs brighter than J = 10.5 mag, 16 of which were completely new in the Northern hemisphere and 7 of which were located at less than 15 pc. For all of them, we also measured Hα and Na I pseudo-equivalent widths, determined photometric distances, and identified the most active stars. The targets with the weakest sodium absorption, namely, J0422+2439 (with X-ray and strong Hα emissions), J0435+2523, and J0439+2333, are new members in the young Taurus-Auriga star-forming region based on proper motion, spatial distribution, and location in the color-magnitude diagram, which reopens the discussion on the deficit of M2-4 Taurus stars. Finally, based on proper motion diagrams, we report on a new wide M dwarf binary system in the field, LSPM J0326+3929EW.

  17. 数控机床产业强势增长%Robust growth of NC machine tool industry

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    @@ The machine tool industry is an industry which provides production equipment for the equipment manufacturing industry, and the machine tool is the parent machine for equipment manufacturing, playing a key part in the industry.The equipment manufacturing industry, for example, the automobile industry, uses more than 60% of its fixed asset investment in the purchase of machine tools.The numerical control (NC)machine tool, as a mainstream product of the machine tool sector, has become a key piece of equipment for achieving modernisation of equipment manufacturing.It is the realistic requirement to speed up development of NC machine production for the development of China's equipment manufacturing industry.

  18. Advancing Research in Second Language Writing through Computational Tools and Machine Learning Techniques: A Research Agenda

    Science.gov (United States)

    Crossley, Scott A.

    2013-01-01

    This paper provides an agenda for replication studies focusing on second language (L2) writing and the use of natural language processing (NLP) tools and machine learning algorithms. Specifically, it introduces a range of the available NLP tools and machine learning algorithms and demonstrates how these could be used to replicate seminal studies…

  19. Static Stiffness Modeling of a Novel PKM-Machine Tool Structure

    Directory of Open Access Journals (Sweden)

    O. K. Akmaev

    2014-07-01

    Full Text Available This article presents a new configuration of a 3-dof machine tool with parallel kinematics. Elastic deformations of the machine tool have been modeled with finite elements, stiffness coefficients at characteristic points of the working area for different cutting forces have been calculated.

  20. Machine and Woodworking Tool Safety. Module SH-24. Safety and Health.

    Science.gov (United States)

    Center for Occupational Research and Development, Inc., Waco, TX.

    This student module on machine and woodworking tool safety is one of 50 modules concerned with job safety and health. This module discusses specific practices and precautions concerned with the efficient operation and use of most machine and woodworking tools in use today. Following the introduction, 13 objectives (each keyed to a page in the…

  1. 76 FR 5832 - International Business Machines (IBM), Software Group Business Unit, Optim Data Studio Tools QA...

    Science.gov (United States)

    2011-02-02

    ... Employment and Training Administration International Business Machines (IBM), Software Group Business Unit... at International Business Machines (IBM), Software Group Business Unit, Optim Data Studio Tools QA... IBM employees working on the relevant product within the Data Studio Tools QA on a part-time basis and...

  2. Virtual reality as a comprehensive learning tool; Realidad virtual como una herramienta de aprendizaje integral

    Energy Technology Data Exchange (ETDEWEB)

    Perez Ramirez, Miguel [Instituto de Investigaciones Electricas, Cuernavaca, Morelos (Mexico); Ontiveros Hernandez, Norma Josefina [Instituto Tecnologico de Zacatepec, Zacatepec, Morelos (Mexico)

    2011-07-01

    This article presents some of the experiences with developing systems based on non-immersive virtual reality (VR). It discusses the factors that make VR a tool for creating content and learning contexts so that instruction is more efficient. VR systems enable risk-free training even when activities involve high risks, such as procedures for maintenance of medium voltage power lines. In addition, these systems have been designed to record student progress, among other things. [Spanish] Se presentan aqui algunas experiencias en el desarrollo de sistemas basados en realidad virtual (RV) no inmersiva. Se discute acerca de los factores que hacen de la RV una herramienta para crear contenido y con textos de aprendizaje, de tal modo que la instruccion pueda ser mas eficiente. Los sistemas de RV permiten el entrenamiento sin riesgos, aun cuando las actividades involucradas sean de alto riesgo, como es el caso de los procedimientos de mantenimiento a lineas energizadas de media tension. Por otro lado, estos sistemas tambien han sido habilitados para registrar el progreso de los estudiantes, entre otras cosas.

  3. Avatars, Affordances, and Interfaces: Virtual Reality Tools for Learning.

    Science.gov (United States)

    McLellan, Hilary

    Virtual reality technology offers the promise of interaction with a computer-based environment that engages visual, auditory, and tactile perception. Three interrelated virtual reality design topics are particularly relevant to visual literacy. The first is the concept of avatars. Avatars are agents that appear in a virtual world representing the…

  4. Application of a virtual coordinate measuring machine for measurement uncertainty estimation of aspherical lens parameters

    Science.gov (United States)

    Küng, Alain; Meli, Felix; Nicolet, Anaïs; Thalmann, Rudolf

    2014-09-01

    Tactile ultra-precise coordinate measuring machines (CMMs) are very attractive for accurately measuring optical components with high slopes, such as aspheres. The METAS µ-CMM, which exhibits a single point measurement repeatability of a few nanometres, is routinely used for measurement services of microparts, including optical lenses. However, estimating the measurement uncertainty is very demanding. Because of the many combined influencing factors, an analytic determination of the uncertainty of parameters that are obtained by numerical fitting of the measured surface points is almost impossible. The application of numerical simulation (Monte Carlo methods) using a parametric fitting algorithm coupled with a virtual CMM based on a realistic model of the machine errors offers an ideal solution to this complex problem: to each measurement data point, a simulated measurement variation calculated from the numerical model of the METAS µ-CMM is added. Repeated several hundred times, these virtual measurements deliver the statistical data for calculating the probability density function, and thus the measurement uncertainty for each parameter. Additionally, the eventual cross-correlation between parameters can be analyzed. This method can be applied for the calibration and uncertainty estimation of any parameter of the equation representing a geometric element. In this article, we present the numerical simulation model of the METAS µ-CMM and the application of a Monte Carlo method for the uncertainty estimation of measured asphere parameters.

  5. ANALYTICAL MODEL OF CALCULUS FOR INFLUENCE THE TRANSLATION GUIDE WEAR OVER THE MACHINING ACCURACY ON THE MACHINE TOOL

    Directory of Open Access Journals (Sweden)

    Ivona PETRE

    2010-10-01

    Full Text Available The wear of machine tools guides influences favorably to vibrations. As a result of guides wear, the initial trajectory of cutting tools motion will be modified, the generating dimensional accuracy discrepancies and deviations of geometrical shape of the work pieces. As it has already been known, the wear of mobile and rigid guides is determined by many parameters (pressure, velocity, friction length, lubrication, material. The choice of one or another analytic model and/or the experimental model of the wear is depending by the working conditions, assuming that the coupling material is known.The present work’s goal is to establish an analytic model of calculus showing the influence of the translation guides wear over the machining accuracy on machine-tools.

  6. The Use of Virtual Reality Tools in the Reading-Language Arts Classroom

    Science.gov (United States)

    Pilgrim, J. Michael; Pilgrim, Jodi

    2016-01-01

    This article presents virtual reality as a tool for classroom literacy instruction. Building on the traditional use of images as a way to scaffold prior knowledge, we extend this idea to share ways virtual reality enables experiential learning through field trip-like experiences. The use of technology tools such Google Street view, Google…

  7. The influence of machining condition and cutting tool wear on surface roughness of AISI 4340 steel

    Science.gov (United States)

    Natasha, A. R.; Ghani, J. A.; Che Haron, C. H.; Syarif, J.

    2018-01-01

    Sustainable machining by using cryogenic coolant as the cutting fluid has been proven to enhance some machining outputs. The main objective of the current work was to investigate the influence of machining conditions; dry and cryogenic, as well as the cutting tool wear on the machined surface roughness of AISI 4340 steel. The experimental tests were performed using chemical vapor deposition (CVD) coated carbide inserts. The value of machined surface roughness were measured at 3 cutting intervals; beginning, middle, and end of the cutting based on the readings of the tool flank wear. The results revealed that cryogenic turning had the greatest influence on surface roughness when machined at lower cutting speed and higher feed rate. Meanwhile, the cutting tool wear was also found to influence the surface roughness, either improving it or deteriorating it, based on the severity and the mechanism of the flank wear.

  8. The in-situ 3D measurement system combined with CNC machine tools

    Science.gov (United States)

    Zhao, Huijie; Jiang, Hongzhi; Li, Xudong; Sui, Shaochun; Tang, Limin; Liang, Xiaoyue; Diao, Xiaochun; Dai, Jiliang

    2013-06-01

    With the development of manufacturing industry, the in-situ 3D measurement for the machining workpieces in CNC machine tools is regarded as the new trend of efficient measurement. We introduce a 3D measurement system based on the stereovision and phase-shifting method combined with CNC machine tools, which can measure 3D profile of the machining workpieces between the key machining processes. The measurement system utilizes the method of high dynamic range fringe acquisition to solve the problem of saturation induced by specular lights reflected from shiny surfaces such as aluminum alloy workpiece or titanium alloy workpiece. We measured two workpieces of aluminum alloy on the CNC machine tools to demonstrate the effectiveness of the developed measurement system.

  9. An iterative learning control method with application for CNC machine tools

    Energy Technology Data Exchange (ETDEWEB)

    Kim, D.I.; Kim, S. [Samsung Electronics, Suwon (Korea, Republic of)

    1996-01-01

    A proportional, integral, and derivative (PID) type iterative learning controller is proposed for precise tracking control of industrial robots and computer numerical controller (CNC) machine tools performing repetitive tasks. The convergence of the output error by the proposed learning controller is guaranteed under a certain condition even when the system parameters are not known exactly and unknown external disturbances exist. As the proposed learning controller is repeatedly applied to the industrial robot or the CNC machine tool with the path-dependent repetitive task, the distance difference between the desired path and the actual tracked or machined path, which is one of the most significant factors in the evaluation of control performance, is progressively reduced. The experimental results demonstrate that the proposed learning controller can improve machining accuracy when the CNC machine tool performs repetitive machining tasks.

  10. Fourier transform based dynamic error modeling method for ultra-precision machine tool

    Science.gov (United States)

    Chen, Guoda; Liang, Yingchun; Ehmann, Kornel F.; Sun, Yazhou; Bai, Qingshun

    2014-08-01

    In some industrial fields, the workpiece surface need to meet not only the demand of surface roughness, but the strict requirement of multi-scale frequency domain errors. Ultra-precision machine tool is the most important carrier for the ultra-precision machining of the parts, whose errors is the key factor to influence the multi-scale frequency domain errors of the machined surface. The volumetric error modeling is the important bridge to link the relationship between the machine error and machined surface error. However, the available error modeling method from the previous research is hard to use to analyze the relationship between the dynamic errors of the machine motion components and multi-scale frequency domain errors of the machined surface, which plays the important reference role in the design and accuracy improvement of the ultra-precision machine tool. In this paper, a fourier transform based dynamic error modeling method is presented, which is also on the theoretical basis of rigid body kinematics and homogeneous transformation matrix. A case study is carried out, which shows the proposed method can successfully realize the identical and regular numerical description of the machine dynamic errors and the volumetric errors. The proposed method has strong potential for the prediction of the frequency domain errors on the machined surface, extracting of the information of multi-scale frequency domain errors, and analysis of the relationship between the machine motion components and frequency domain errors of the machined surface.

  11. Tool Wear Assessment in Electro- Discharge Machining Process ...

    African Journals Online (AJOL)

    Electro-Discharge Machining (EDM) is a process mainly used in the mould making industry. The process has gained in popularity around the world due to its ability to machine complex and intricate shapes, very hard and brittle materials as compared to conventional material removal processes. Nevertheless, the EDM ...

  12. Protection of Mission-Critical Applications from Untrusted Execution Environment: Resource Efficient Replication and Migration of Virtual Machines

    Science.gov (United States)

    2015-09-28

    Lefebvre, Dutch Meyer , Mike Feeley, Norm Hutchinson, and An- drew Warfield. Remus: High availability via asynchronous virtual machine replication. In...for public release. [62] Horacio Andrés Lagar-Cavilla, Joseph Andrew Whitney, Adin Matthew Scannell, Philip Patchin, Stephen M. Rumble, Eyal de Lara...Virtualization performance: Perspectives and challenges ahead. SIGOPS Operating System Review, 44(4), Dec. 2010. [67] Dutch T. Meyer , Gitika Aggarwal

  13. CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach

    Directory of Open Access Journals (Sweden)

    Jihong Chen

    2015-06-01

    Full Text Available Building cyber-physical system (CPS models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control (CNC system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control (NC processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools.

  14. MLBCD: a machine learning tool for big clinical data.

    Science.gov (United States)

    Luo, Gang

    2015-01-01

    Predictive modeling is fundamental for extracting value from large clinical data sets, or "big clinical data," advancing clinical research, and improving healthcare. Machine learning is a powerful approach to predictive modeling. Two factors make machine learning challenging for healthcare researchers. First, before training a machine learning model, the values of one or more model parameters called hyper-parameters must typically be specified. Due to their inexperience with machine learning, it is hard for healthcare researchers to choose an appropriate algorithm and hyper-parameter values. Second, many clinical data are stored in a special format. These data must be iteratively transformed into the relational table format before conducting predictive modeling. This transformation is time-consuming and requires computing expertise. This paper presents our vision for and design of MLBCD (Machine Learning for Big Clinical Data), a new software system aiming to address these challenges and facilitate building machine learning predictive models using big clinical data. The paper describes MLBCD's design in detail. By making machine learning accessible to healthcare researchers, MLBCD will open the use of big clinical data and increase the ability to foster biomedical discovery and improve care.

  15. Smart Cutting Tools and Smart Machining: Development Approaches, and Their Implementation and Application Perspectives

    Science.gov (United States)

    Cheng, Kai; Niu, Zhi-Chao; Wang, Robin C.; Rakowski, Richard; Bateman, Richard

    2017-09-01

    Smart machining has tremendous potential and is becoming one of new generation high value precision manufacturing technologies in line with the advance of Industry 4.0 concepts. This paper presents some innovative design concepts and, in particular, the development of four types of smart cutting tools, including a force-based smart cutting tool, a temperature-based internally-cooled cutting tool, a fast tool servo (FTS) and smart collets for ultraprecision and micro manufacturing purposes. Implementation and application perspectives of these smart cutting tools are explored and discussed particularly for smart machining against a number of industrial application requirements. They are contamination-free machining, machining of tool-wear-prone Si-based infra-red devices and medical applications, high speed micro milling and micro drilling, etc. Furthermore, implementation techniques are presented focusing on: (a) plug-and-produce design principle and the associated smart control algorithms, (b) piezoelectric film and surface acoustic wave transducers to measure cutting forces in process, (c) critical cutting temperature control in real-time machining, (d) in-process calibration through machining trials, (e) FE-based design and analysis of smart cutting tools, and (f) application exemplars on adaptive smart machining.

  16. Automated Parallel Computing Tools for Multicore Machines and Clusters Project

    Data.gov (United States)

    National Aeronautics and Space Administration — We propose to improve productivity of high performance computing for applications on multicore computers and clusters. These machines built from one or more chips...

  17. Adaptive control of mechatronic machine-tool equipment

    Directory of Open Access Journals (Sweden)

    R.G. Kudoyarov

    2015-09-01

    Full Text Available In this paper the method for designing a functional structure of mechatronic modules based on the developed classification of functional subsystems and the proposed turning machine modular structure is presented.

  18. Specific Energy Consumption Prediction Method Based on Machine Tool Power Measurement

    Directory of Open Access Journals (Sweden)

    Guoyong Zhao

    2014-07-01

    Full Text Available Accurate prediction on energy consumption in machining is helpful to evaluate process energy characteristics and choose process methods for energy saving. Specific energy consumption expresses the required energy consumption when cutting unit volume material. The Back Propagation (BP neural network prediction method for specific energy consumption in machining is set up in the paper. The prediction method bases on machine tool power signal measurement by power analyzer and shunt sensors. In the developed BP neural network, the input layer neurons include spindle speed, feed rate, depth of cut and material removal rate; and the output layer neurons includes specific energy consumption in machining. The power signal measurement system is built up in the computer numerical control (CNC milling machine tool, and the prediction method for specific energy consumption is tested with cutting data. The prediction results show that the introduced method is effective to predict specific energy consumption in machining.

  19. TO THE SYNTHESIS OF A LAYOUT OF MACHINE TOOL FOR BATCH PROCESSING

    Directory of Open Access Journals (Sweden)

    B. M. Rozin

    2014-01-01

    Full Text Available The problems of choosing the optimal standard size of the basic units and assembly components of machine tools for batch processing of parts are considered. The algorithms for solving some of these problems by optimizing of mutual disposition of unit elements are proposed. The algorithm for constructing 3D-models of machine tool layout elements in the graphics system T-Flex is pro-posed. The structure and method for implementation of the software for construction and estimation of the machine tool layouts for batch processing are given.

  20. FPGA Based Acceleration and Deceleration Circuit for Robots and CNC Machine Tools

    Energy Technology Data Exchange (ETDEWEB)

    Jeon, Jae Wook; Kim, Yoon Gi [Sung Kyun Kwan University (Korea, Republic of); Ha, Young Youl [Nara Technology Research Institute (Korea, Republic of)

    1999-03-01

    In order to make industrial robots and CNC machine tools perform tasks efficiently, each axis has to be accelerated and decelerated appropriately. The existing techniques for the acceleration and deceleration of industrial robots and CNC machine tools are not efficient to generate velocity profiles. Thus, these previous techniques cannot generate velocity generating velocity profiles that cannot be generated by previous techniques as well as velocity profiles generated by them. Based on the proposed approach, an acceleration and deceleration circuit for industrial robots and CNC machine tools is designed with a FPGA by using VHDL. (author). 11 refs., 6 figs., 2 tabs.

  1. A methodology for online visualization of the energy flow in a machine tool

    DEFF Research Database (Denmark)

    Mohammadi, Ali; Züst, Simon; Mayr, Josef

    2017-01-01

    the machining process and by this increasing its energy efficiency. This study intents to propose a method which has the capability of real-time monitoring of the entire energetic flows in a CNC machine tool including motors, pumps and cooling fluid. The structure of this approach is based on categorizing......The demand of energy efficient machine tools has increased recently due to the awareness for energyefficient production in precision manufacturing. A portion of the energy supplied to machine tools istransferred to thermal losses which influence also the thermal behavior of the precision related...... the machine into subsystems and measurements of the consumers (pump, motors, . . . ) power, temperature at the inlet and outlet of the pumps and current as well as the speed of the motors. The visualization is carried out by a 2D Sankey diagram, which makes it easy to understand the energetic flows...

  2. Virtual Reality as a Tool in the Education

    Science.gov (United States)

    Piovesan, Sandra Dutra; Passerino, Liliana Maria; Pereira, Adriana Soares

    2012-01-01

    The virtual reality is being more and more used in the education, enabling the student to find out, to explore and to build his own knowledge. This paper presents an Educational Software for presence or distance education, for subjects of Formal Language, where the student can manipulate virtually the target that must be explored, analyzed and…

  3. Indicators of ADHD symptoms in virtual learning context using machine learning technics

    Directory of Open Access Journals (Sweden)

    Laura Patricia Mancera Valetts

    2015-12-01

    Full Text Available Rev.esc.adm.neg This paper presents a user model for students performing virtual learning processes. This model is used to infer the presence of Attention Deficit Hyperactivity Disorder (ADHD indicators in a student. The user model is built considering three user characteristics, which can be also used as variables in different contexts. These variables are: behavioral conduct (BC, executive functions performance (EFP, and emotional state (ES. For inferring the ADHD symptomatic profile of a student and his/her emotional alterations, these features are used as input in a set of classification rules. Based on the testing of the proposed model, training examples are obtained. These examples are used to prepare a classification machine learning algorithm for performing, and improving, the task of profiling a student. The proposed user model can provide the first step to adapt learning resources in e-learning platforms to people with attention problems, specifically, young-adult students with ADHD.

  4. Experimental Machine Vision System for Training Students in Virtual Instrumentation Techniques

    Directory of Open Access Journals (Sweden)

    Rodica Holonec

    2011-10-01

    Full Text Available The aim of this paper is to present the main techniques in designing and building of a complex machine vision system in order to train electrical engineering students in using virtual instrumentation. The proposed test bench realizes an automatic adjustment of some electrical circuit parameters on a belt conveyer. The students can learn how to combine mechanics, electronics, electrical engineering, image acquisition and processing in order to solve the proposed application. After the system implementation the students are asked to present in which way they can modify or extend the system for industrial environment regarding the automatic adjustment of electric parameters or the calibration of different type of sensors (of distance, of proximity, etc without the intervention of the human factor in the process.

  5. Virtual Machine Support for Many-Core Architectures: Decoupling Abstract from Concrete Concurrency Models

    Directory of Open Access Journals (Sweden)

    Stefan Marr

    2010-02-01

    Full Text Available The upcoming many-core architectures require software developers to exploit concurrency to utilize available computational power. Today's high-level language virtual machines (VMs, which are a cornerstone of software development, do not provide sufficient abstraction for concurrency concepts. We analyze concrete and abstract concurrency models and identify the challenges they impose for VMs. To provide sufficient concurrency support in VMs, we propose to integrate concurrency operations into VM instruction sets. Since there will always be VMs optimized for special purposes, our goal is to develop a methodology to design instruction sets with concurrency support. Therefore, we also propose a list of trade-offs that have to be investigated to advise the design of such instruction sets. As a first experiment, we implemented one instruction set extension for shared memory and one for non-shared memory concurrency. From our experimental results, we derived a list of requirements for a full-grown experimental environment for further research.

  6. An Adaptive Method For Texture Characterization In Medical Images Implemented on a Parallel Virtual Machine

    Directory of Open Access Journals (Sweden)

    Socrates A. Mylonas

    2003-06-01

    Full Text Available This paper describes the application of a new texture characterization algorithm for the segmentation of medical ultrasound images. The morphology of these images poses significant problems for the application of traditional image processing techniques and their analysis has been the subject of research for several years. The basis of the algorithm is an optimum signal modelling algorithm (Least Mean Squares-based, which estimates a set of parameters from small image regions. The algorithm has been converted to a structure suitable for implementation on a Parallel Virtual Machine (PVM consisting of a Network of Workstations (NoW, to improve processing speed. Tests were initially carried out on standard textured images. This paper describes preliminary results of the application of the algorithm in texture discrimination and segmentation of medical ultrasound images. The images examined are primarily used in the diagnosis of carotid plaques, which are linked to the risk of stroke.

  7. Development of non-contact structural health monitoring system for machine tools

    Directory of Open Access Journals (Sweden)

    Deepam Goyal

    2016-08-01

    Full Text Available In this era of flexible manufacturing systems, a real-time structural health monitoring (SHM is paramount for machining processes which are of great relevance today, when there is a constant call for better productivity with high quality at low price. During machining, vibrations are always brought forth because of mechanical disturbances from various sources such as an engine, a sound, and noise, among others. A SHM system provides significant economic benefits when applied to machine tools and machining processes. This study demonstrates a non contact SHM system for machine tools based on the vibration signal collected through a low-cost, microcontroller based data acquisition system. The examination tests of this developed system have been carried out on a vibration rig. The readings have also been calibrated with the accelerometer to validate the proposed system. The developed system results in quick measurement, enables reliable monitoring, and is cost effective with no need to alter the structure of the machine tool. It is expected that the system can forewarn the operator for timely based maintenance actions in addition to reducing the costs of machine downtime and acquiring equipments with reduction in complexity of machine tools.

  8. Hybrid polylingual object model: an efficient and seamless integration of Java and native components on the Dalvik virtual machine.

    Science.gov (United States)

    Huang, Yukun; Chen, Rong; Wei, Jingbo; Pei, Xilong; Cao, Jing; Prakash Jayaraman, Prem; Ranjan, Rajiv

    2014-01-01

    JNI in the Android platform is often observed with low efficiency and high coding complexity. Although many researchers have investigated the JNI mechanism, few of them solve the efficiency and the complexity problems of JNI in the Android platform simultaneously. In this paper, a hybrid polylingual object (HPO) model is proposed to allow a CAR object being accessed as a Java object and as vice in the Dalvik virtual machine. It is an acceptable substitute for JNI to reuse the CAR-compliant components in Android applications in a seamless and efficient way. The metadata injection mechanism is designed to support the automatic mapping and reflection between CAR objects and Java objects. A prototype virtual machine, called HPO-Dalvik, is implemented by extending the Dalvik virtual machine to support the HPO model. Lifespan management, garbage collection, and data type transformation of HPO objects are also handled in the HPO-Dalvik virtual machine automatically. The experimental result shows that the HPO model outweighs the standard JNI in lower overhead on native side, better executing performance with no JNI bridging code being demanded.

  9. Optimization of Surface Finish in Turning Operation by Considering the Machine Tool Vibration using Taguchi Method

    Directory of Open Access Journals (Sweden)

    Muhammad Munawar

    2012-01-01

    Full Text Available Optimization of surface roughness has been one of the primary objectives in most of the machining operations. Poor control on the desired surface roughness generates non conforming parts and results into increase in cost and loss of productivity due to rework or scrap. Surface roughness value is a result of several process variables among which machine tool condition is one of the significant variables. In this study, experimentation was carried out to investigate the effect of machine tool condition on surface roughness. Variable used to represent machine tool\\'s condition was vibration amplitude. Input parameters used, besides vibration amplitude, were feed rate and insert nose radius. Cutting speed and depth of cut were kept constant. Based on Taguchi orthogonal array, a series of experimentation was designed and performed on AISI 1040 carbon steel bar at default and induced machine tool\\'s vibration amplitudes. ANOVA (Analysis of Variance, revealed that vibration amplitude and feed rate had moderate effect on the surface roughness and insert nose radius had the highest significant effect on the surface roughness. It was also found that a machine tool with low vibration amplitude produced better surface roughness. Insert with larger nose radius produced better surface roughness at low feed rate.

  10. Virtual Machine Replication on Achieving Energy-Efficiency in a Cloud

    Directory of Open Access Journals (Sweden)

    Subrota K. Mondal

    2016-07-01

    Full Text Available The rapid growth in cloud service demand has led to the establishment of large-scale virtualized data centers in which virtual machines (VMs are used to handle user requests for service. A user’s request cannot be completed if the VM fails. Replication mechanisms can be used to mitigate the impact of failures. Further, data centers consume a large amount of energy resulting in high operating costs and contributing to significant greenhouse gas (GHG emissions. In this paper, we focus on Infrastructure as a Service (IaaS cloud where user job requests are processed by VMs and analyze the effectiveness of VM replications in terms of job completion time performance as well as energy consumption. Three different schemes: cold, warm, and hot replications are considered. The trade-offs between job completion time and energy consumption in different replication schemes are characterized through comprehensive analytical models which capture VM state transitions and associated power consumption patterns. The effectiveness of replication schemes are demonstrated through experimental results. To verify the validity of the proposed analytical models, we extend the widely used cloud simulator CloudSim and compare the simulation results with analytical solutions.

  11. A Novel Artificial Bee Colony Approach of Live Virtual Machine Migration Policy Using Bayes Theorem

    Directory of Open Access Journals (Sweden)

    Gaochao Xu

    2013-01-01

    Full Text Available Green cloud data center has become a research hotspot of virtualized cloud computing architecture. Since live virtual machine (VM migration technology is widely used and studied in cloud computing, we have focused on the VM placement selection of live migration for power saving. We present a novel heuristic approach which is called PS-ABC. Its algorithm includes two parts. One is that it combines the artificial bee colony (ABC idea with the uniform random initialization idea, the binary search idea, and Boltzmann selection policy to achieve an improved ABC-based approach with better global exploration’s ability and local exploitation’s ability. The other one is that it uses the Bayes theorem to further optimize the improved ABC-based process to faster get the final optimal solution. As a result, the whole approach achieves a longer-term efficient optimization for power saving. The experimental results demonstrate that PS-ABC evidently reduces the total incremental power consumption and better protects the performance of VM running and migrating compared with the existing research. It makes the result of live VM migration more high-effective and meaningful.

  12. A distributed parallel genetic algorithm of placement strategy for virtual machines deployment on cloud platform.

    Science.gov (United States)

    Dong, Yu-Shuang; Xu, Gao-Chao; Fu, Xiao-Dong

    2014-01-01

    The cloud platform provides various services to users. More and more cloud centers provide infrastructure as the main way of operating. To improve the utilization rate of the cloud center and to decrease the operating cost, the cloud center provides services according to requirements of users by sharding the resources with virtualization. Considering both QoS for users and cost saving for cloud computing providers, we try to maximize performance and minimize energy cost as well. In this paper, we propose a distributed parallel genetic algorithm (DPGA) of placement strategy for virtual machines deployment on cloud platform. It executes the genetic algorithm parallelly and distributedly on several selected physical hosts in the first stage. Then it continues to execute the genetic algorithm of the second stage with solutions obtained from the first stage as the initial population. The solution calculated by the genetic algorithm of the second stage is the optimal one of the proposed approach. The experimental results show that the proposed placement strategy of VM deployment can ensure QoS for users and it is more effective and more energy efficient than other placement strategies on the cloud platform.

  13. Immersive virtual reality as a teaching tool for neuroanatomy.

    Science.gov (United States)

    Stepan, Katelyn; Zeiger, Joshua; Hanchuk, Stephanie; Del Signore, Anthony; Shrivastava, Raj; Govindaraj, Satish; Iloreta, Alfred

    2017-10-01

    Three-dimensional (3D) computer modeling and interactive virtual reality (VR) simulation are validated teaching techniques used throughout medical disciplines. Little objective data exists supporting its use in teaching clinical anatomy. Learner motivation is thought to limit the rate of utilization of such novel technologies. The purpose of this study is to evaluate the effectiveness, satisfaction, and motivation associated with immersive VR simulation in teaching medical students neuroanatomy. Images of normal cerebral anatomy were reconstructed from human Digital Imaging and Communications in Medicine (DICOM) computed tomography (CT) imaging and magnetic resonance imaging (MRI) into 3D VR formats compatible with the Oculus Rift VR System, a head-mounted display with tracking capabilities allowing for an immersive VR experience. The ventricular system and cerebral vasculature were highlighted and labeled to create a focused interactive model. We conducted a randomized controlled study with 66 medical students (33 in both the control and experimental groups). Pertinent neuroanatomical structures were studied using either online textbooks or the VR interactive model, respectively. We then evaluated the students' anatomy knowledge, educational experience, and motivation (using the Instructional Materials Motivation Survey [IMMS], a previously validated assessment). There was no significant difference in anatomy knowledge between the 2 groups on preintervention, postintervention, or retention quizzes. The VR group found the learning experience to be significantly more engaging, enjoyable, and useful (all p VR educational tools awarded a more positive learner experience and enhanced student motivation. However, the technology was equally as effective as the traditional text books in teaching neuroanatomy. © 2017 ARS-AAOA, LLC.

  14. Open architecture digital servodrive for PMSM/PMLM-based machine-tool table feed-drives

    National Research Council Canada - National Science Library

    Krzysztof Pietrusewicz; Michał Bonisławski; Rafał Pajdzik

    2013-01-01

    ...) table of the milling machine. Open architecture interface of the prepared control system lets the potential user test functionality of integration of diagnostic tools within the motion controller - directly, without taking...

  15. Error Modeling and Sensitivity Analysis of a Five-Axis Machine Tool

    Directory of Open Access Journals (Sweden)

    Wenjie Tian

    2014-01-01

    Full Text Available Geometric error modeling and its sensitivity analysis are carried out in this paper, which is helpful for precision design of machine tools. Screw theory and rigid body kinematics are used to establish the error model of an RRTTT-type five-axis machine tool, which enables the source errors affecting the compensable and uncompensable pose accuracy of the machine tool to be explicitly separated, thereby providing designers and/or field engineers with an informative guideline for the accuracy improvement by suitable measures, that is, component tolerancing in design, manufacturing, and assembly processes, and error compensation. The sensitivity analysis method is proposed, and the sensitivities of compensable and uncompensable pose accuracies are analyzed. The analysis results will be used for the precision design of the machine tool.

  16. The Analysis on the Singularity of a 2UPS-UPR Parallel Machine Tool

    Directory of Open Access Journals (Sweden)

    Zhao Liang

    2015-01-01

    Full Text Available This paper deals with the analysis on the singularity of a 2UPS-UPR parallel machine tool newly designed by Northeastern University. On the basis of establishing kinematics equations, the Jacobian matrix of the parallel machine tool and the shape of the parallel machine tool workspace are obtained, the degree of operability which is the determinant value of the product of Jacobian matrix and its inverse matrix is taken as the performance index of the singularity. With MATLAB software, the change situation about the degree of operability within the workspace is simulated. The analysis results of this paper have laid the theoretical foundation for the position control and processing track planning of the parallel machine tool.

  17. Improved Machine Tool Linear Axis Calibration Through Continuous Motion Data Capture

    OpenAIRE

    Miller, J. E.; Longstaff, A.P.; Parkinson, S.; Fletcher, S

    2017-01-01

    Machine tool calibration is becoming recognised as an important part of the manufacturing process. The current international standards for machine tool linear axes calibration support the use of quasi-static calibration techniques. These techniques can be time consuming but more importantly a compromise in quality due to the practical restriction on the spatial resolution of target positions on the axis under test. Continuous motion calibration techniques have the potential to dramatically in...

  18. THEORETICAL CLARIFICATIONS REGARDING THE CONCEPT OF WORKING CAPACITY OF WOOD-WORKING MACHINE-TOOLS

    Directory of Open Access Journals (Sweden)

    Gavril BUDĂU

    2014-09-01

    Full Text Available Due to persisting confusions between the concepts “labor productivity” and “working capacity” of a machine-tool, equipment or production line, the authors considered it necessary to define and explain these terms. Starting by defining the notions “working cycle” and “functioning cycle”, the paper details: the theoretical, technological and real working capacity and also the term “working time norm” for wood-working machine-tools.

  19. SUBMATIC - Remotely Operated Subsea Machine Tool and Inspection CNC-system

    Energy Technology Data Exchange (ETDEWEB)

    Bjoerke, Oe.; Husebye, R.E. (Statoil (NO)); Jenssen, H.P.

    1990-03-01

    The Norwegian oil company STATOIL and the Foundation for Scientific and Industrial Research at the University of Trondheim (SINTEF) have jointly developed a remotely operated subsea machine tool system for deepwater machining and inspection of subsea wellheads and multibore connectors. The system is designed for water depths down to 400 meters. The project has been initiated and funded by STATOIL, while the project work has been carried out by SINTEF. The system will provide a number of optional machining operation together with specific inspection systems for dimension and surface roughness documentation both before and after machining. 11 refs.

  20. Winding machine and tools for the ISR Superconducting Quadrupole Prototype

    CERN Multimedia

    1975-01-01

    The picture shows the rotating and rocking winding machine with its "light" clamping system to keep the conductor turns in place during winding.At the back left one sees the conductor spool with its electromagnetic brake and the "heavy" clamping system used during curing. See also 7510217X, 7702690X.

  1. Support vector machine: a tool for mapping mineral prospectivity

    NARCIS (Netherlands)

    Zuo, R.; Carranza, E.J.M

    2011-01-01

    In this contribution, we describe an application of support vector machine (SVM), a supervised learning algorithm, to mineral prospectivity mapping. The free R package e1071 is used to construct a SVM with sigmoid kernel function to map prospectivity for Au deposits in western Meguma Terrain of Nova

  2. Towards a Tool for Computer Supported Configuring of Machine Systems

    DEFF Research Database (Denmark)

    Hansen, Claus Thorp

    1996-01-01

    An engineering designer designing a product determines not only the product's component structure, but also a set of different structures which carry product behaviour and performance and make the product suited for its life phases. Whereas the nature of the elements of a machine system is fairly...

  3. A Sensor-Based Method for Diagnostics of Machine Tool Linear Axes

    Science.gov (United States)

    Vogl, Gregory W.; Weiss, Brian A.; Donmez, M. Alkan

    2017-01-01

    A linear axis is a vital subsystem of machine tools, which are vital systems within many manufacturing operations. When installed and operating within a manufacturing facility, a machine tool needs to stay in good condition for parts production. All machine tools degrade during operations, yet knowledge of that degradation is illusive; specifically, accurately detecting degradation of linear axes is a manual and time-consuming process. Thus, manufacturers need automated and efficient methods to diagnose the condition of their machine tool linear axes without disruptions to production. The Prognostics and Health Management for Smart Manufacturing Systems (PHM4SMS) project at the National Institute of Standards and Technology (NIST) developed a sensor-based method to quickly estimate the performance degradation of linear axes. The multi-sensor-based method uses data collected from a ‘sensor box’ to identify changes in linear and angular errors due to axis degradation; the sensor box contains inclinometers, accelerometers, and rate gyroscopes to capture this data. The sensors are expected to be cost effective with respect to savings in production losses and scrapped parts for a machine tool. Numerical simulations, based on sensor bandwidth and noise specifications, show that changes in straightness and angular errors could be known with acceptable test uncertainty ratios. If a sensor box resides on a machine tool and data is collected periodically, then the degradation of the linear axes can be determined and used for diagnostics and prognostics to help optimize maintenance, production schedules, and ultimately part quality. PMID:28691039

  4. A Comparative Study of Teacher Education Institutions and Machine Tool Manufacturers to Determine Course Content for a Machine Tool Maintenance Course in the Woodworking Area.

    Science.gov (United States)

    Polette, Douglas Lee

    To determine what type of maintenance training the prospective industrial arts teacher should receive in the woodworking area and how this information should be taught, a research instrument was constructed using information obtained from a review of relevant literature. Specific data on machine tool maintenance was gathered by the use of two…

  5. Providing Virtual Execution Environments: A Twofold Illustration

    CERN Document Server

    Grehant, Xavier

    2008-01-01

    Platform virtualization helps solving major grid computing challenges: share resource with flexible, user-controlled and custom execution environments and in the meanwhile, isolate failures and malicious code. Grid resource management tools will evolve to embrace support for virtual resource. We present two open source projects that transparently supply virtual execution environments. Tycoon has been developed at HP Labs to optimise resource usage in creating an economy where users bid to access virtual machines and compete for CPU cycles. SmartDomains provides a peer-to-peer layer that automates virtual machines deployment using a description language and deployment engine from HP Labs. These projects demonstrate both client-server and peer-to-peer approaches to virtual resource management. The first case makes extensive use of virtual machines features for dynamic resource allocation. The second translates virtual machines capabilities into a sophisticated language where resource management components can b...

  6. Application of virtual reality tools for assembly of WEST components: Comparison between simulations and physical mockups

    Energy Technology Data Exchange (ETDEWEB)

    Pilia, Arnaud, E-mail: arnaud.pilia@cea.fr; Brun, Cyril; Doceul, Louis; Gargiulo, Laurent; Hatchressian, Jean-Claude; Keller, Delphine; Le, Roland; Poli, Serge; Zago, Bertrand

    2015-10-15

    Highlights: • VR technologies applied to Fusion enable better and faster understanding of integration issues. • Assembly problems are solved and validated on a numerical mockup. • Integration and accessibility issues can be identified in the earliest design on numerical mockup. • Problems are solved and validated on a physical mockup. • VR technologies are very helpful for assembly and maintenance operation simulations. - Abstract: The WEST project (Tungsten (W) Environment in Steady state Tokamak) is an upgrade of the existing fusion machine, Tore Supra. The goal is to equip the tokamak with a fully cooled tungsten divertor and to transform the machine in a test platform open to all ITER partners. The main assembly challenge of this project consists of an implementation of two magnet systems, called divertors, with an accuracy of 1 mm. Indeed, each divertor has about 4 m as diameter and has a heavy weight of 10 tons; also it introduces piece by piece in the original vessel through tight ports then assembled inside. To ensure a perfect fitting between these new components and a very constrained environment, it is necessary to use the latest CAD technologies available. Beyond conventional CAD tools, the virtual reality (VR) room of the institute provides several useful tools. Thanks to the 185″ stereoscopic 3D screen and a force feedback arm linked to clash detection software developed by the CEA LIST, a new way to carry out design and assembly studies was performed. In order to improve VR results, metrology data (3D scan) enhance simulations. Therefore, it becomes possible to be aware of the real size of a component and future difficulties in assembling it. At last, performance of such simulations is evaluated and compared to physical mockup in order to bring enhancement to the VR tools, before to be compared to the real operations on Tore Supra. The aim is to build a design tool that helps the designer since early stage of the design of complex systems

  7. PREDICTION OF TOOL CONDITION DURING TURNING OF ALUMINIUM/ALUMINA/GRAPHITE HYBRID METAL MATRIX COMPOSITES USING MACHINE LEARNING APPROACH

    Directory of Open Access Journals (Sweden)

    N. RADHIKA

    2015-10-01

    Full Text Available Aluminium/alumina/graphite hybrid metal matrix composites manufactured using stir casting technique was subjected to machining studies to predict tool condition during machining. Fresh tool as well as tools with specific amount of wear deliberately created prior to machining experiments was used. Vibration signals were acquired using an accelerometer for each tool condition. These signals were then processed to extract statistical and histogram features to predict the tool condition during machining. Two classifiers namely, Random Forest and Classification and Regression Tree (CART were used to classify the tool condition. Results showed that histogram features with Random Forest classifier yielded maximum efficiency in predicting the tool condition. This machine learning approach enables the prediction of tool failure in advance, thereby minimizing the unexpected breakdown of tool and machine.

  8. Study on Dynamic Characteristics of Heavy Machine Tool-Composite Pile Foundation-Soil

    Directory of Open Access Journals (Sweden)

    CAI Li-Gang

    2014-09-01

    Full Text Available Heavy duty computer numerical control machine tools have characteristics of large self-weight, load and. The insufficiency of foundation bearing capacity leads to deformation of lathe bed, which effects machining accuracy. A combined-layer foundation model is created to describe the pile group foundation of multi-soil layer in this paper. Considering piles and soil in pile group as transversely isotropic material, equivalent constitutive relationship of composite foundation is constructed. A mathematical model is established by the introduction of boundary conditions, which is based on heavy duty computer numerical control machine tools-composite pile foundation-soil interaction system. And then, the response of different soil and pile depth is studied by a case. The model improves motion accuracy of machine tools.

  9. Use of Virtual Reality Tools for Vestibular Disorders Rehabilitation: A Comprehensive Analysis

    Directory of Open Access Journals (Sweden)

    Mathieu Bergeron

    2015-01-01

    Full Text Available Classical peripheral vestibular disorders rehabilitation is a long and costly process. While virtual reality settings have been repeatedly suggested to represent possible tools to help the rehabilitation process, no systematic study had been conducted so far. We systematically reviewed the current literature to analyze the published protocols documenting the use of virtual reality settings for peripheral vestibular disorders rehabilitation. There is an important diversity of settings and protocols involving virtual reality settings for the treatment of this pathology. Evaluation of the symptoms is often not standardized. However, our results unveil a clear effect of virtual reality settings-based rehabilitation of the patients’ symptoms, assessed by objectives tools such as the DHI (mean decrease of 27 points, changing symptoms handicap perception from moderate to mild impact on life. Furthermore, we detected a relationship between the duration of the exposure to virtual reality environments and the magnitude of the therapeutic effects, suggesting that virtual reality treatments should last at least 150 minutes of cumulated exposure to ensure positive outcomes. Virtual reality offers a pleasant and safe environment for the patient. Future studies should standardize evaluation tools, document putative side effects further, compare virtual reality to conventional physical therapy, and evaluate economical costs/benefits of such strategies.

  10. Use of Virtual Reality Tools for Vestibular Disorders Rehabilitation: A Comprehensive Analysis.

    Science.gov (United States)

    Bergeron, Mathieu; Lortie, Catherine L; Guitton, Matthieu J

    2015-01-01

    Classical peripheral vestibular disorders rehabilitation is a long and costly process. While virtual reality settings have been repeatedly suggested to represent possible tools to help the rehabilitation process, no systematic study had been conducted so far. We systematically reviewed the current literature to analyze the published protocols documenting the use of virtual reality settings for peripheral vestibular disorders rehabilitation. There is an important diversity of settings and protocols involving virtual reality settings for the treatment of this pathology. Evaluation of the symptoms is often not standardized. However, our results unveil a clear effect of virtual reality settings-based rehabilitation of the patients' symptoms, assessed by objectives tools such as the DHI (mean decrease of 27 points), changing symptoms handicap perception from moderate to mild impact on life. Furthermore, we detected a relationship between the duration of the exposure to virtual reality environments and the magnitude of the therapeutic effects, suggesting that virtual reality treatments should last at least 150 minutes of cumulated exposure to ensure positive outcomes. Virtual reality offers a pleasant and safe environment for the patient. Future studies should standardize evaluation tools, document putative side effects further, compare virtual reality to conventional physical therapy, and evaluate economical costs/benefits of such strategies.

  11. New tool holder design for cryogenic machining of Ti6Al4V

    Science.gov (United States)

    Bellin, Marco; Sartori, Stefano; Ghiotti, Andrea; Bruschi, Stefania

    2017-10-01

    The renewed demand of increasing the machinability of the Ti6Al4V titanium alloy to produce biomedical and aerospace parts working at high temperature has recently led to the application of low-temperature coolants instead of conventional cutting fluids to increase both the tool life and the machined surface integrity. In particular, the liquid nitrogen directed to the tool rake face has shown a great capability of reducing the temperature at the chip-tool interface, as well as the chemical interaction between the tool coating and the titanium to be machined, therefore limiting the tool crater wear, and improving, at the same time, the chip breakability. Furthermore, the nitrogen is a safe, non-harmful, non-corrosive, odorless, recyclable, non-polluting and abundant gas, characteristics that further qualify it as an environmental friendly coolant to be applied to machining processes. However, the behavior of the system composed by the tool and the tool holder, exposed to the cryogenics temperatures may represent a critical issue in order to obtain components within the required geometrical tolerances. On this basis, the paper aims at presenting the design of an innovative tool holder installed on a CNC lathe, which includes the cryogenic coolant provision system, and which is able to hinder the part possible distortions due to the liquid nitrogen adduction by stabilizing its dimensions through the use of heating cartridges and appropriate sensors to monitor the temperature evolution of the tool holder.

  12. VIRTUAL REALITY AS A TOOL FOR THE STUDY OF PSYCHOLOGICAL AND SOCIAL PHENOMENA

    Directory of Open Access Journals (Sweden)

    Laura Aymerich-Franch

    2013-04-01

    Full Text Available Virtual reality is a technology that drastically alters the environment and self-representation through the creation of virtual worlds and avatars. These transformations facilitate the analysis of social and psychological phenomena hardly observable in a real environment. The paper presents the virtual reality as a methodological tool and describes the possibilities this technology offers to researchers in the field of Social Sciences presenting the results of the most relevant studies that have used this tool following the paradigm of Transformed Social Interaction and presents a case study.

  13. An Approach to the Classification of Cutting Vibration on Machine Tools

    Directory of Open Access Journals (Sweden)

    Jeng-Fung Chen

    2016-02-01

    Full Text Available Predictions of cutting vibrations are necessary for improving the operational efficiency, product quality, and safety in the machining process, since the vibration is the main factor for resulting in machine faults. “Cutting vibration” may be caused by setting incorrect parameters before machining is commenced and may affect the precision of the machined work piece. This raises the need to have an effective model that can be used to predict cutting vibrations. In this study, an artificial neural network (ANN model to forecast and classify the cutting vibration of the intelligent machine tool is presented. The factors that may cause cutting vibrations is firstly identified and a dataset for the research purpose is constructed. Then, the applicability of the model is illustrated. Based on the results in the comparative analysis, the artificial neural network approach performed better than the others. Because the vibration can be forecasted and classified, the product quality can be managed. This work may help new workers to avoid operating machine tools incorrectly, and hence can decrease manufacturing costs. It is expected that this study can enhance the performance of machine tools in metalworking sectors.

  14. Comparison Between Cemented Carbide and PCD Tools on Machinability of a High Silicon Aluminum Alloy

    Science.gov (United States)

    Soares, R. B.; de Jesus, A. M. P.; Neto, R. J. L.; Chirita, B.; Rosa, P. A. R.; Reis, A.

    2017-09-01

    The high content of silicon of aluminum casting alloys challenges the tool life of conventional cemented carbide inserts, and polycrystalline diamond (PCD) tools appear as an interesting material to machine these alloys because they improve substantially the durability of cutting tools and consequently the productivity of machining. However, the surface roughness, cutting forces and chip morphology are equally important factors in machining evaluation. Therefore, an experimental study is performed aiming at comparing the performance of cemented carbide and PCD tools taking into account cutting forces, surface roughness and chip morphology, under dry longitudinal turning, performed for the AlSi9Cu3 alloy produced by permanent mold casting process. Different chip breaker geometries were also considered, and their influence on the referred parameters was also investigated. Analysis of variance was employed to study the different contributions of inserts, cutting speed, feed rate, depth of cut and their interactions in machinability performance. The results show low cutting forces and better results for surface roughness for uncoated cemented carbide tools, with simpler chip breakers and flat rake face PCD tool, but an efficient chip control was obtained for inserts with small grooves with high cutting forces and power consumption. Nevertheless, the feed rate and depth of cut have the highest influence on the machinability performance of the alloy under investigation.

  15. Virtual method for the determination of an optimum thermal design of hot stamping tools

    Science.gov (United States)

    Weiß, W.; Koplenig, M.; Alb, M.; Graf, J.

    2016-11-01

    This work presents a new virtual method for the optimised thermal design of hot stamping tools. It provides optimal positions of the tool's tempering ducts with respect to the average working temperature and its homogeneous distribution on the surface of a tool. It consists of a specific procedure for hot stamping tool design and a software framework in order to interconnect three domains: (I) a parametrised CAD tool model, (II) a linear thermal solver using a fast boundary element method and (III) an optimisation algorithm. This enables the automated set-up, simulation and optimisation of a duct topology. The boundary conditions for the simulations are derived from a reduced model of the thermal loading of the tool. The virtual method proposed is demonstrated on simplified tool segment geometries. The results are transferred to complex tool designs used in industry. For a selected use case, the number of ducts could be reduced by 50% through the application of the proposed method. These results are validated virtually based on an existing design. Hence, the new virtual method contributes to a CAE-driven tool design and a more efficient tool manufacturing.

  16. Virtual Machine Provisioning, Code Management, and Data Movement Design for the Fermilab HEPCloud Facility

    Energy Technology Data Exchange (ETDEWEB)

    Timm, S. [Fermilab; Cooper, G. [Fermilab; Fuess, S. [Fermilab; Garzoglio, G. [Fermilab; Holzman, B. [Fermilab; Kennedy, R. [Fermilab; Grassano, D. [Fermilab; Tiradani, A. [Fermilab; Krishnamurthy, R. [IIT, Chicago; Vinayagam, S. [IIT, Chicago; Raicu, I. [IIT, Chicago; Wu, H. [IIT, Chicago; Ren, S. [IIT, Chicago; Noh, S. Y. [KISTI, Daejeon

    2017-11-22

    The Fermilab HEPCloud Facility Project has as its goal to extend the current Fermilab facility interface to provide transparent access to disparate resources including commercial and community clouds, grid federations, and HPC centers. This facility enables experiments to perform the full spectrum of computing tasks, including data-intensive simulation and reconstruction. We have evaluated the use of the commercial cloud to provide elasticity to respond to peaks of demand without overprovisioning local resources. Full scale data-intensive workflows have been successfully completed on Amazon Web Services for two High Energy Physics Experiments, CMS and NOνA, at the scale of 58000 simultaneous cores. This paper describes the significant improvements that were made to the virtual machine provisioning system, code caching system, and data movement system to accomplish this work. The virtual image provisioning and contextualization service was extended to multiple AWS regions, and to support experiment-specific data configurations. A prototype Decision Engine was written to determine the optimal availability zone and instance type to run on, minimizing cost and job interruptions. We have deployed a scalable on-demand caching service to deliver code and database information to jobs running on the commercial cloud. It uses the frontiersquid server and CERN VM File System (CVMFS) clients on EC2 instances and utilizes various services provided by AWS to build the infrastructure (stack). We discuss the architecture and load testing benchmarks on the squid servers. We also describe various approaches that were evaluated to transport experimental data to and from the cloud, and the optimal solutions that were used for the bulk of the data transport. Finally, we summarize lessons learned from this scale test, and our future plans to expand and improve the Fermilab HEP Cloud Facility.

  17. Virtual machine provisioning, code management, and data movement design for the Fermilab HEPCloud Facility

    Science.gov (United States)

    Timm, S.; Cooper, G.; Fuess, S.; Garzoglio, G.; Holzman, B.; Kennedy, R.; Grassano, D.; Tiradani, A.; Krishnamurthy, R.; Vinayagam, S.; Raicu, I.; Wu, H.; Ren, S.; Noh, S.-Y.

    2017-10-01

    The Fermilab HEPCloud Facility Project has as its goal to extend the current Fermilab facility interface to provide transparent access to disparate resources including commercial and community clouds, grid federations, and HPC centers. This facility enables experiments to perform the full spectrum of computing tasks, including data-intensive simulation and reconstruction. We have evaluated the use of the commercial cloud to provide elasticity to respond to peaks of demand without overprovisioning local resources. Full scale data-intensive workflows have been successfully completed on Amazon Web Services for two High Energy Physics Experiments, CMS and NOνA, at the scale of 58000 simultaneous cores. This paper describes the significant improvements that were made to the virtual machine provisioning system, code caching system, and data movement system to accomplish this work. The virtual image provisioning and contextualization service was extended to multiple AWS regions, and to support experiment-specific data configurations. A prototype Decision Engine was written to determine the optimal availability zone and instance type to run on, minimizing cost and job interruptions. We have deployed a scalable on-demand caching service to deliver code and database information to jobs running on the commercial cloud. It uses the frontiersquid server and CERN VM File System (CVMFS) clients on EC2 instances and utilizes various services provided by AWS to build the infrastructure (stack). We discuss the architecture and load testing benchmarks on the squid servers. We also describe various approaches that were evaluated to transport experimental data to and from the cloud, and the optimal solutions that were used for the bulk of the data transport. Finally, we summarize lessons learned from this scale test, and our future plans to expand and improve the Fermilab HEP Cloud Facility.

  18. Management of Virtual Machine as an Energy Conservation in Private Cloud Computing System

    Directory of Open Access Journals (Sweden)

    Fauzi Akhmad

    2016-01-01

    Full Text Available Cloud computing is a service model that is packaged in a base computing resources that can be accessed through the Internet on demand and placed in the data center. Data center architecture in cloud computing environments are heterogeneous and distributed, composed of a cluster of network servers with different capacity computing resources in different physical servers. The problems on the demand and availability of cloud services can be solved by fluctuating data center cloud through abstraction with virtualization technology. Virtual machine (VM is a representation of the availability of computing resources that can be dynamically allocated and reallocated on demand. In this study the consolidation of VM as energy conservation in Private Cloud Computing Systems with the target of process optimization selection policy and migration of the VM on the procedure consolidation. VM environment cloud data center to consider hosting a type of service a particular application at the instance VM requires a different level of computing resources. The results of the use of computing resources on a VM that is not balanced in physical servers can be reduced by using a live VM migration to achieve workload balancing. A practical approach used in developing OpenStack-based cloud computing environment by integrating Cloud VM and VM Placement selection procedure using OpenStack Neat VM consolidation. Following the value of CPU Time used as a fill to get the average value in MHz CPU utilization within a specific time period. The average value of a VM’s CPU utilization in getting from the current CPU_time reduced by CPU_time from the previous data retrieval multiplied by the maximum frequency of the CPU. The calculation result is divided by the making time CPU_time when it is reduced to the previous taking time CPU_time multiplied by milliseconds.

  19. Data mining practical machine learning tools and techniques

    CERN Document Server

    Witten, Ian H

    2005-01-01

    As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same

  20. Characterizing EMG data using machine-learning tools.

    Science.gov (United States)

    Yousefi, Jamileh; Hamilton-Wright, Andrew

    2014-08-01

    Effective electromyographic (EMG) signal characterization is critical in the diagnosis of neuromuscular disorders. Machine-learning based pattern classification algorithms are commonly used to produce such characterizations. Several classifiers have been investigated to develop accurate and computationally efficient strategies for EMG signal characterization. This paper provides a critical review of some of the classification methodologies used in EMG characterization, and presents the state-of-the-art accomplishments in this field, emphasizing neuromuscular pathology. The techniques studied are grouped by their methodology, and a summary of the salient findings associated with each method is presented. Copyright © 2014 Elsevier Ltd. All rights reserved.

  1. Web-Based Machine Translation as a Tool for Promoting Electronic Literacy and Language Awareness

    Science.gov (United States)

    Williams, Lawrence

    2006-01-01

    This article addresses a pervasive problem of concern to teachers of many foreign languages: the use of Web-Based Machine Translation (WBMT) by students who do not understand the complexities of this relatively new tool. Although networked technologies have greatly increased access to many language and communication tools, WBMT is still…

  2. Possibilities of Application of High Pressure Jet Assisted Machining in Hard Turning with Carbide Tools

    Directory of Open Access Journals (Sweden)

    G. Globočki Lakić

    2017-06-01

    Full Text Available High Pressure Jet Assisted Machining (HPJAM in turning is a hybrid machining method in which a high pressure jet of cooling and lubrication fluid, under high pressure (50 MPa, leads to the zone between the cutting tool edge and workpiece. An experimental study was performed to investigate the capabilities of conventional and high pressure cooling (HPC in the turning of hard-to-machine materials: hard-chromed and surface hardened steel Ck45 (58 HRc and hardened bearing steel 100Cr6 (62 HRc. Machining experiments were performed using coated carbide tools and highly cutting speed. Experimental measurements were performed for different input process parameters. The cooling capabilities are compared by monitoring of tool wear, tool life, cooling efficiency, and surface roughness. Connection between the tool wear and surface roughness is established. Experimental research show that the hard turning with carbide cutting tools and HP supply CLF provides numerous advantages from the techno-economic aspect: greater productivity, reduce of temperature in the cutting zone, improved control chip formation, extended tool life, low intensity of tool wear, surface roughness in acceptable limits, significant reduce of production costs related to the CLF.

  3. Performance Evaluation of Multi-Axis CNC Machine Tools by Interferometry Principle using Laser Calibration System

    Science.gov (United States)

    Barman, S.; Sen, R.

    2012-06-01

    Advancement in digital electronics and microprocessors has made the manufacturing sector capable to generate complex components within small tolerance zone in nanometre range at one machining center. All motion control systems have some form of position feed back system fitted with the machine. But the systems are not perfectly accurate due to the errors in the positioning performance of the machine tools which will change over time to time due to wear, damage and environmental effect. The complex structure of multi-axis CNC machine tools produces an inaccuracy at the tool tip caused by kinematic parameter deviations resulting in manufacturing errors, assembly error and quasi-static errors. Analysis of these errors using a laser measurement system provides the user with a way to achieve better accuracy, and hence higher quality output from these processes. In this paper, characteristic of the positioning errors of the axes of multi-axis CNC machine tools and the technique to measure the errors by a laser interferometer calibration system have been discussed and the positioning accuracy of the machine each axis has been verified.

  4. Computational and experimental analysis of machine tool vibrations in micro-milling

    Directory of Open Access Journals (Sweden)

    Sagris Dimitrios

    2017-01-01

    Full Text Available In machining processes, it is necessary to study the vibration phenomena which take place in cutting zone between the cutting tool and the workpiece in order to ascertain the factors that affect them. The subject of this paper is to identify the influence of the cutting parameters and the dynamic characteristics of the machine tool spindle and the cutting tool on the vibrations by means of FEM analysis. A FEM modal analysis of the machine tool spindle in combination with cutting force measurements are used to build up a transient FEM model in time domain in order to study the vibrations induced by the cutting process. The results of the transient FEM model will serve for further analysis to find out the optimum cutting parameters in micro-milling.

  5. ACHILLES AS A MARKETING TOOL FOR VIRTUAL HERITAGE APPLICATIONS

    Directory of Open Access Journals (Sweden)

    Mohamed Nabil Arafa

    2017-11-01

    Full Text Available Virtual Reality technology has made it possible for people to visit places and enjoy different exciting experiences while remaining at home. It gives an opportunity to enjoy the past at its best. Virtual Reality was introduced in 1929 with interactive training devices that simulated fighter planes. In 1957, the Sensorama simulator was designed which could generate city smells and wind sensations. The need for tourism to become virtual becomes more urgent than ever before. Virtual Reality applications provide this chance, not only in place, but in time as well. This paper presents a guide to the heritage applications' builders and marketers to reach more online users. The paper helps the builder to understand the consumer behaviour for marketing research. The paper illustrates eight levels, with each one leading to the next. The author named the eight levels A.C.H.I.L.L.E.S. Each letter represents a level; beginning with the awareness and ending with the sustainability. ACHILLES represents a sequence that shows three main phases of mobile application usage. It aims for a better management for the online visitors' engagement. This aim can be accomplished through the understanding of the different stages that the online visitors go through. In addition, it shows the correlation between the users and the mobile application.

  6. Virtual Reality: Teaching Tool of the Twenty-First Century?

    Science.gov (United States)

    Hoffman, Helene; Vu, Dzung

    1997-01-01

    Virtual reality-based procedural and surgical simulations promise to revolutionize medical training. A wide range of simulations representing diverse content areas and varied implementation strategies are under development or in early use. The new systems will make broad-based training experiences available for students at all levels without risks…

  7. Adaptive tools in virtual environments: Independent component analysis for multimedia

    DEFF Research Database (Denmark)

    Kolenda, Thomas

    2002-01-01

    The thesis investigates the role of independent component analysis in the setting of virtual environments, with the purpose of finding properties that reflect human context. A general framework for performing unsupervised classification with ICA is presented in extension to the latent semantic in...

  8. Education Student Perceptions of Virtual Reality as a Learning Tool

    Science.gov (United States)

    Domingo, Jelia R.; Bradley, Elizabeth Gates

    2018-01-01

    The purpose of this study was to ascertain student perceptions of the use and value of three-dimensional virtual environments. A grounded theory approach was used to gather and examine data. Just over half of student participants reported positive experiences. However, most experienced technical difficulties. Despite the technical challenges of…

  9. Virtual Reality: A Tool for Cartographic Visualization | Quaye-Ballard ...

    African Journals Online (AJOL)

    Visualization methods in the analysis of geographical datasets are based on static models, which restrict the visual analysis capabilities. The use of virtual reality, which is a three-dimensional (3D) perspective, gives the user the ability to change viewpoints and models dynamically overcomes the static limitations of ...

  10. Virtual Reality: An Experiential Tool for Clinical Psychology

    Science.gov (United States)

    Riva, Giuseppe

    2009-01-01

    Several Virtual Reality (VR) applications for the understanding, assessment and treatment of mental health problems have been developed in the last 15 years. Typically, in VR the patient learns to manipulate problematic situations related to his/her problem. In fact, VR can be described as an advanced form of human-computer interface that is able…

  11. Development of hole inspection program using touch trigger probe on CNC machine tools

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Chan Ho; Lee, Eung Suk [Chungbuk Nat' l Univ., Cheongju (Korea, Republic of)

    2012-02-15

    According to many customers' requests, optical measurement module (OMM) applications using automatic measuring devices to measure the machined part rapidly on a machine tool have increased steeply. Touch trigger probes are being used for job setup and feature inspection as automatic measuring devices, and this makes quality checking and machining compensation possible. Therefore, in this study, the use of touch trigger probes for accurate measurement of the machined part has been studied and a macro program for a hole measuring cycle has been developed. This hole is the most common feature to be measured, but conventional methods are still not free from measuring error. In addition, the eccentricity change of the least square circle was simulated according to the roundness error in a hole measurement. To evaluate the reliability of this study, the developed hole measuring program was executed to measure the hole plate on the machine and verify the roundness error in the eccentricity simulation result.

  12. A Temperature Sensor Clustering Method for Thermal Error Modeling of Heavy Milling Machine Tools

    Directory of Open Access Journals (Sweden)

    Fengchun Li

    2017-01-01

    Full Text Available A clustering method is an effective way to select the proper temperature sensor location for thermal error modeling of machine tools. In this paper, a new temperature sensor clustering method is proposed. By analyzing the characteristics of the temperature of the sensors in a heavy floor-type milling machine tool, an indicator involving both the Euclidean distance and the correlation coefficient was proposed to reflect the differences between temperature sensors, and the indicator was expressed by a distance matrix to be used for hierarchical clustering. Then, the weight coefficient in the distance matrix and the number of the clusters (groups were optimized by a genetic algorithm (GA, and the fitness function of the GA was also rebuilt by establishing the thermal error model at one rotation speed, then deriving its accuracy at two different rotation speeds with a temperature disturbance. Thus, the parameters for clustering, as well as the final selection of the temperature sensors, were derived. Finally, the method proposed in this paper was verified on a machine tool. According to the selected temperature sensors, a thermal error model of the machine tool was established and used to predict the thermal error. The results indicate that the selected temperature sensors can accurately predict thermal error at different rotation speeds, and the proposed temperature sensor clustering method for sensor selection is expected to be used for the thermal error modeling for other machine tools.

  13. Dynamic Interaction between Machine, Tool, and Substrate in Bobbin Friction Stir Welding

    Directory of Open Access Journals (Sweden)

    Mohammad K. Sued

    2016-01-01

    Full Text Available The bobbin friction stir welding (BFSW process has benefits for welding aluminium alloy 6082-T6 in the boat-building industry. However this alloy is difficult to weld in the thin state. There are a large number of process variables and covert situational factors that affect weld quality. This paper investigates how tool holder and machine-type affect BFSW weld quality of 4 mm Al6082-T6. The variables were tool features (three types, machine-controller type (two types, and tool holder (fixed versus floating. Fourier analysis was performed on motor spindle current to determine the frequency response of the machine. An interaction was found between the computer numerical control (CNC, the degrees of freedom of the tool holder, and the substrate (workpiece. The conventional idea that the welding tool has a semisteady interaction with the substrate is not supported. Instead the interaction is highly dynamic, and this materially affects the weld quality. Specific vibrational interactions are associated with poor welding. The CNC machine-type also emerges as a neglected variable that needs to be given attention in the selection of process parameters. Although compliance in the tool holder might seem useful, it is shown to have negative consequences as it introduces tool positioning problems.

  14. A Security-Awareness Virtual Machine Management Scheme Based on Chinese Wall Policy in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Si Yu

    2014-01-01

    Full Text Available Cloud computing gets increasing attention for its capacity to leverage developers from infrastructure management tasks. However, recent works reveal that side channel attacks can lead to privacy leakage in the cloud. Enhancing isolation between users is an effective solution to eliminate the attack. In this paper, to eliminate side channel attacks, we investigate the isolation enhancement scheme from the aspect of virtual machine (VM management. The security-awareness VMs management scheme (SVMS, a VMs isolation enhancement scheme to defend against side channel attacks, is proposed. First, we use the aggressive conflict of interest relation (ACIR and aggressive in ally with relation (AIAR to describe user constraint relations. Second, based on the Chinese wall policy, we put forward four isolation rules. Third, the VMs placement and migration algorithms are designed to enforce VMs isolation between the conflict users. Finally, based on the normal distribution, we conduct a series of experiments to evaluate SVMS. The experimental results show that SVMS is efficient in guaranteeing isolation between VMs owned by conflict users, while the resource utilization rate decreases but not by much.

  15. Dynamic Placement of Virtual Machines with Both Deterministic and Stochastic Demands for Green Cloud Computing

    Directory of Open Access Journals (Sweden)

    Wenying Yue

    2014-01-01

    Full Text Available Cloud computing has come to be a significant commercial infrastructure offering utility-oriented IT services to users worldwide. However, data centers hosting cloud applications consume huge amounts of energy, leading to high operational cost and greenhouse gas emission. Therefore, green cloud computing solutions are needed not only to achieve high level service performance but also to minimize energy consumption. This paper studies the dynamic placement of virtual machines (VMs with deterministic and stochastic demands. In order to ensure a quick response to VM requests and improve the energy efficiency, a two-phase optimization strategy has been proposed, in which VMs are deployed in runtime and consolidated into servers periodically. Based on an improved multidimensional space partition model, a modified energy efficient algorithm with balanced resource utilization (MEAGLE and a live migration algorithm based on the basic set (LMABBS are, respectively, developed for each phase. Experimental results have shown that under different VMs’ stochastic demand variations, MEAGLE guarantees the availability of stochastic resources with a defined probability and reduces the number of required servers by 2.49% to 20.40% compared with the benchmark algorithms. Also, the difference between the LMABBS solution and Gurobi solution is fairly small, but LMABBS significantly excels in computational efficiency.

  16. A security-awareness virtual machine management scheme based on Chinese wall policy in cloud computing.

    Science.gov (United States)

    Yu, Si; Gui, Xiaolin; Lin, Jiancai; Tian, Feng; Zhao, Jianqiang; Dai, Min

    2014-01-01

    Cloud computing gets increasing attention for its capacity to leverage developers from infrastructure management tasks. However, recent works reveal that side channel attacks can lead to privacy leakage in the cloud. Enhancing isolation between users is an effective solution to eliminate the attack. In this paper, to eliminate side channel attacks, we investigate the isolation enhancement scheme from the aspect of virtual machine (VM) management. The security-awareness VMs management scheme (SVMS), a VMs isolation enhancement scheme to defend against side channel attacks, is proposed. First, we use the aggressive conflict of interest relation (ACIR) and aggressive in ally with relation (AIAR) to describe user constraint relations. Second, based on the Chinese wall policy, we put forward four isolation rules. Third, the VMs placement and migration algorithms are designed to enforce VMs isolation between the conflict users. Finally, based on the normal distribution, we conduct a series of experiments to evaluate SVMS. The experimental results show that SVMS is efficient in guaranteeing isolation between VMs owned by conflict users, while the resource utilization rate decreases but not by much.

  17. A four-dimensional virtual hand brain-machine interface using active dimension selection

    Science.gov (United States)

    Rouse, Adam G.

    2016-06-01

    Objective. Brain-machine interfaces (BMI) traditionally rely on a fixed, linear transformation from neural signals to an output state-space. In this study, the assumption that a BMI must control a fixed, orthogonal basis set was challenged and a novel active dimension selection (ADS) decoder was explored. Approach. ADS utilizes a two stage decoder by using neural signals to both (i) select an active dimension being controlled and (ii) control the velocity along the selected dimension. ADS decoding was tested in a monkey using 16 single units from premotor and primary motor cortex to successfully control a virtual hand avatar to move to eight different postures. Main results. Following training with the ADS decoder to control 2, 3, and then 4 dimensions, each emulating a grasp shape of the hand, performance reached 93% correct with a bit rate of 2.4 bits s-1 for eight targets. Selection of eight targets using ADS control was more efficient, as measured by bit rate, than either full four-dimensional control or computer assisted one-dimensional control. Significance. ADS decoding allows a user to quickly and efficiently select different hand postures. This novel decoding scheme represents a potential method to reduce the complexity of high-dimension BMI control of the hand.

  18. Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening

    Science.gov (United States)

    Mu, Lin

    2018-01-01

    This work introduces a number of algebraic topology approaches, including multi-component persistent homology, multi-level persistent homology, and electrostatic persistence for the representation, characterization, and description of small molecules and biomolecular complexes. In contrast to the conventional persistent homology, multi-component persistent homology retains critical chemical and biological information during the topological simplification of biomolecular geometric complexity. Multi-level persistent homology enables a tailored topological description of inter- and/or intra-molecular interactions of interest. Electrostatic persistence incorporates partial charge information into topological invariants. These topological methods are paired with Wasserstein distance to characterize similarities between molecules and are further integrated with a variety of machine learning algorithms, including k-nearest neighbors, ensemble of trees, and deep convolutional neural networks, to manifest their descriptive and predictive powers for protein-ligand binding analysis and virtual screening of small molecules. Extensive numerical experiments involving 4,414 protein-ligand complexes from the PDBBind database and 128,374 ligand-target and decoy-target pairs in the DUD database are performed to test respectively the scoring power and the discriminatory power of the proposed topological learning strategies. It is demonstrated that the present topological learning outperforms other existing methods in protein-ligand binding affinity prediction and ligand-decoy discrimination. PMID:29309403

  19. CernVM WebAPI - Controlling Virtual Machines from the Web

    Science.gov (United States)

    Charalampidis, I.; Berzano, D.; Blomer, J.; Buncic, P.; Ganis, G.; Meusel, R.; Segal, B.

    2015-12-01

    Lately, there is a trend in scientific projects to look for computing resources in the volunteering community. In addition, to reduce the development effort required to port the scientific software stack to all the known platforms, the use of Virtual Machines (VMs)u is becoming increasingly popular. Unfortunately their use further complicates the software installation and operation, restricting the volunteer audience to sufficiently expert people. CernVM WebAPI is a software solution addressing this specific case in a way that opens wide new application opportunities. It offers a very simple API for setting-up, controlling and interfacing with a VM instance in the users computer, while in the same time offloading the user from all the burden of downloading, installing and configuring the hypervisor. WebAPI comes with a lightweight javascript library that guides the user through the application installation process. Malicious usage is prohibited by offering a per-domain PKI validation mechanism. In this contribution we will overview this new technology, discuss its security features and examine some test cases where it is already in use.

  20. Multi-level energy demand optimizer system for machine tool controls

    OpenAIRE

    Schlechtendahl, Jan; Eberspächer, Philipp; Schraml, Philipp; Verl, Alexander; Abele, Eberhard

    2016-01-01

    The need to increase resource and energy efficiency for a sustainable production has led to saving potential analyses and afterwards saving strategies in a multitude of disciplines: product design, supply chain management, process chain design, production process development, energy-optimal machine or component control and even machine tool and component design. Each of those strategies resulted in numerous improvements, however, they still lack reciprocal consideration. To overcome this defi...

  1. Adaption of commercial off the shelf modules for reconfigurable machine tool design

    CSIR Research Space (South Africa)

    Mpofu, K

    2008-01-01

    Full Text Available graph. In summary the RMT design by Moon [2] is such that it uses modular machine modules and integrated reconfigurability to optimize performance of the RMT. Fig. 1 Overview of machine tool design methodology [Moon & Kota ][3] B... Manufacturing Strategy for the privilege to undertake this research. REFERENCES [1] Stone, R. B., Wood, K. L. and Crawford, R. H. (2000). A heuristic method for identifying modules for product architectures, Design Studies 20 5-31. [2] Moon...

  2. RESEARCH USING CAE ON PERFORMANCES EVALUATION FOR MACHINE TOOL ORIENTATION AND CLAMPING DEVICES

    Directory of Open Access Journals (Sweden)

    Raluca Magdalena NIŢĂ

    2014-11-01

    Full Text Available The paper presents the stages of CAE, which is composed by CAD-FEM for determining optimal construction and loads for a modular fixture device for prismatic and circular work-pieces. Such devices are used for processing on CNC performance machine tools, like machining centres including 5-axis CNC milling machines. It is presented the methodology of analysis and results of its application. Are established numerical analyses ways, in the conditions defined by the loadings and identified the most solicited area of the device structure. It is recommended in that the area be placed a strain sensor. This is an important step needed transformation into a mechatronic device.

  3. Virtual reality as a new imaginative tool in psychotherapy.

    Science.gov (United States)

    Vincelli, F; Riva, G

    2000-01-01

    Imagination, experience and memory play a central role in psychotherapy. These elements are fundamental in the life of everyone but also in the etiology of many psychological disturbance. Thanks to Virtual Reality (VR) it is possible to transcend the absolute and relative limits linked to individual potential. The imagines re-created through VR may be more vivid and real than the one that most subjects are able to describe through their own imagination and their own memory. In this chapter we focus the attention on imaginative techniques to find new ways of applications in psychotherapy. We will explore the way VR can be used to improve the efficacy of traditional techniques. VR produces a change with respect to the traditional relationship between client and therapist. Virtual experiences is a third way between "in imagination" and "in vivo" techniques in psychotherapy.

  4. Implementing a New Register Allocator for the Server Compiler in the Java HotSpot Virtual Machine

    OpenAIRE

    Adlertz, Niclas

    2015-01-01

    The Java HotSpot Virtual Machine currently uses two Just In Time compilers to increase the performance of Java code in execution. The client and server compilers, as they are named, serve slightly different purposes. The client compiler produces code fast, while the server compiler produces code of greater quality. Both are important, because in a runtime environment there is a tradeoff between compiling and executing code. However, maintaining two separate compilers leads to increased mainte...

  5. The use of machine learning and nonlinear statistical tools for ADME prediction.

    Science.gov (United States)

    Sakiyama, Yojiro

    2009-02-01

    Absorption, distribution, metabolism and excretion (ADME)-related failure of drug candidates is a major issue for the pharmaceutical industry today. Prediction of ADME by in silico tools has now become an inevitable paradigm to reduce cost and enhance efficiency in pharmaceutical research. Recently, machine learning as well as nonlinear statistical tools has been widely applied to predict routine ADME end points. To achieve accurate and reliable predictions, it would be a prerequisite to understand the concepts, mechanisms and limitations of these tools. Here, we have devised a small synthetic nonlinear data set to help understand the mechanism of machine learning by 2D-visualisation. We applied six new machine learning methods to four different data sets. The methods include Naive Bayes classifier, classification and regression tree, random forest, Gaussian process, support vector machine and k nearest neighbour. The results demonstrated that ensemble learning and kernel machine displayed greater accuracy of prediction than classical methods irrespective of the data set size. The importance of interaction with the engineering field is also addressed. The results described here provide insights into the mechanism of machine learning, which will enable appropriate usage in the future.

  6. GLUE!: An Architecture for the Integration of External Tools in Virtual Learning Environments

    Science.gov (United States)

    Alario-Hoyos, Carlos; Bote-Lorenzo, Miguel L.; Gomez-Sanchez, Eduardo; Asensio-Perez, Juan I.; Vega-Gorgojo, Guillermo; Ruiz-Calleja, Adolfo

    2013-01-01

    The integration of external tools in Virtual Learning Environments (VLEs) aims at enriching the learning activities that educational practitioners may design and enact. This paper presents GLUE!, an architecture that enables the lightweight integration of multiple existing external tools in multiple existing VLEs. GLUE! fosters this integration by…

  7. Virtual Ribosome - a comprehensive DNA translation tool with support for integration of sequence feature annotation

    DEFF Research Database (Denmark)

    Wernersson, Rasmus

    2006-01-01

    Virtual Ribosome is a DNA translation tool with two areas of focus. ( i) Providing a strong translation tool in its own right, with an integrated ORF finder, full support for the IUPAC degenerate DNA alphabet and all translation tables defined by the NCBI taxonomy group, including the use...

  8. Monitoring and Control by Virtual Tools of an Educational Renewable Energy System

    Directory of Open Access Journals (Sweden)

    Gligor Adrian

    2009-12-01

    Full Text Available The scope of the present paper is to present the architecture and design of an effective tool useful for monitoring, maintenance and training of specialists in the field of photovoltaic renewable energy Among renewable energy resources, solar energy represents an easy to use, accessible and green source of energy. An important goal is the efficient use of solar energy which can only be achieved by the knowledge of solar datum and equipment characteristics from a studied area. Based on this idea, the paper presents a concept of virtual tools developed on web technologies and virtual instrumentation for monitoring and control of solar renewable energy. These tools are mainly designed as a base for a virtual laboratory that can be used for the study of photovoltaic and thermal solar energy parameters, representing, by didactical point of view, a handful way for students to study the phenomenology and also a training tool for specialists in the field of solar photovoltaic energy.

  9. Of Genes and Machines: Application of a Combination of Machine Learning Tools to Astronomy Data Sets

    Science.gov (United States)

    Heinis, S.; Kumar, S.; Gezari, S.; Burgett, W. S.; Chambers, K. C.; Draper, P. W.; Flewelling, H.; Kaiser, N.; Magnier, E. A.; Metcalfe, N.; Waters, C.

    2016-04-01

    We apply a combination of genetic algorithm (GA) and support vector machine (SVM) machine learning algorithms to solve two important problems faced by the astronomical community: star-galaxy separation and photometric redshift estimation of galaxies in survey catalogs. We use the GA to select the relevant features in the first step, followed by optimization of SVM parameters in the second step to obtain an optimal set of parameters to classify or regress, in the process of which we avoid overfitting. We apply our method to star-galaxy separation in Pan-STARRS1 data. We show that our method correctly classifies 98% of objects down to {i}{{P1}}=24.5, with a completeness (or true positive rate) of 99% for galaxies and 88% for stars. By combining colors with morphology, our star-galaxy separation method yields better results than the new SExtractor classifier spread_model, in particular at the faint end ({i}{{P1}}\\gt 22). We also use our method to derive photometric redshifts for galaxies in the COSMOS bright multiwavelength data set down to an error in (1+z) of σ =0.013, which compares well with estimates from spectral energy distribution fitting on the same data (σ =0.007) while making a significantly smaller number of assumptions.

  10. A review of designing machine tool for leanness

    Indian Academy of Sciences (India)

    ... from design till delivery of final product to the end-customer. Newly developed manufacturing ideologies, paradigms and systems are always critically examined from the point of view of leanness. In other words, leanness is becoming an important evaluation tool to compare the recently developed/pioneered approaches.

  11. A review of designing machine tool for leanness

    Indian Academy of Sciences (India)

    literature a lot of work has been reported to the application of lean tools, principles, theories and methodologies to ... What is missing in the literature is the sequential/hierarchical approach to the design process and the problems addressed seem to be ..... representation of the present state. • Equal or inappropriate weights ...

  12. Research on assembly reliability control technology for computer numerical control machine tools

    Directory of Open Access Journals (Sweden)

    Yan Ran

    2017-01-01

    Full Text Available Nowadays, although more and more companies focus on improving the quality of computer numerical control machine tools, its reliability control still remains as an unsolved problem. Since assembly reliability control is very important in product reliability assurance in China, a new key assembly processes extraction method based on the integration of quality function deployment; failure mode, effects, and criticality analysis; and fuzzy theory for computer numerical control machine tools is proposed. Firstly, assembly faults and assembly reliability control flow of computer numerical control machine tools are studied. Secondly, quality function deployment; failure mode, effects, and criticality analysis; and fuzzy theory are integrated to build a scientific extraction model, by which the key assembly processes meeting both customer functional demands and failure data distribution can be extracted, also an example is given to illustrate the correctness and effectiveness of the method. Finally, the assembly reliability monitoring system is established based on key assembly processes to realize and simplify this method.

  13. Toward transient finite element simulation of thermal deformation of machine tools in real-time

    Science.gov (United States)

    Naumann, Andreas; Ruprecht, Daniel; Wensch, Joerg

    2018-01-01

    Finite element models without simplifying assumptions can accurately describe the spatial and temporal distribution of heat in machine tools as well as the resulting deformation. In principle, this allows to correct for displacements of the Tool Centre Point and enables high precision manufacturing. However, the computational cost of FE models and restriction to generic algorithms in commercial tools like ANSYS prevents their operational use since simulations have to run faster than real-time. For the case where heat diffusion is slow compared to machine movement, we introduce a tailored implicit-explicit multi-rate time stepping method of higher order based on spectral deferred corrections. Using the open-source FEM library DUNE, we show that fully coupled simulations of the temperature field are possible in real-time for a machine consisting of a stock sliding up and down on rails attached to a stand.

  14. A Method to Optimize Geometric Errors of Machine Tool based on SNR Quality Loss Function and Correlation Analysis

    Directory of Open Access Journals (Sweden)

    Cai Ligang

    2017-01-01

    Full Text Available Instead improving the accuracy of machine tool by increasing the precision of key components level blindly in the production process, the method of combination of SNR quality loss function and machine tool geometric error correlation analysis to optimize five-axis machine tool geometric errors will be adopted. Firstly, the homogeneous transformation matrix method will be used to build five-axis machine tool geometric error modeling. Secondly, the SNR quality loss function will be used for cost modeling. And then, machine tool accuracy optimal objective function will be established based on the correlation analysis. Finally, ISIGHT combined with MATLAB will be applied to optimize each error. The results show that this method is reasonable and appropriate to relax the range of tolerance values, so as to reduce the manufacturing cost of machine tools.

  15. Measurement Parameters Optimized for Sequential Multilateration in Calibrating a Machine Tool with a DOE Method

    Directory of Open Access Journals (Sweden)

    Fabien Ezedine

    2016-10-01

    Full Text Available Improving volumetric error compensation is one of the machine tool user’s key objectives. Smart compensation is bound to calibration accuracy. Calibration quality depends largely on its setup factors. An evaluation criterion is thus required to test the quality of the compensation deduced from these setup factors. The residual error map, which characterizes post-compensation machine errors, is therefore chosen and then needs to be evaluated. In this study, the translation axes of a machine tool were calibrated with a multilateration tracking laser interferometer. In order to optimize such measurements, the residual error map was then characterized by two appliances: a laser interferometer and the tracking laser already employed for the calibration, using for that purpose the sequential multilateration technique. This research work thus aimed to obtain a smart setup of parameters of machine tool calibration analyzing these two residual error maps through the Design Of Experiment (DOE method. To achieve this goal, the first step was to define the setup parameters for calibrating a compact machine tool with a multilateration tracking laser. The second step was to define both of the measurement processes that are employed to estimate the residual error map. The third step was to obtain the optimized setup parameters using the DOE method.

  16. Process planning optimization on turning machine tool using a hybrid genetic algorithm with local search approach

    Directory of Open Access Journals (Sweden)

    Yuliang Su

    2015-04-01

    Full Text Available A turning machine tool is a kind of new type of machine tool that is equipped with more than one spindle and turret. The distinctive simultaneous and parallel processing abilities of turning machine tool increase the complexity of process planning. The operations would not only be sequenced and satisfy precedence constraints, but also should be scheduled with multiple objectives such as minimizing machining cost, maximizing utilization of turning machine tool, and so on. To solve this problem, a hybrid genetic algorithm was proposed to generate optimal process plans based on a mixed 0-1 integer programming model. An operation precedence graph is used to represent precedence constraints and help generate a feasible initial population of hybrid genetic algorithm. Encoding strategy based on data structure was developed to represent process plans digitally in order to form the solution space. In addition, a local search approach for optimizing the assignments of available turrets would be added to incorporate scheduling with process planning. A real-world case is used to prove that the proposed approach could avoid infeasible solutions and effectively generate a global optimal process plan.

  17. New tools to support collaboration and virtual organizations.

    Science.gov (United States)

    Frame, I; Austen, K F; Calleja, M; Dove, M T; White, T O H; Wilson, D J

    2009-03-13

    We describe the use of new eScience tools to support collaboration, including the use of XML data representations to support shared viewing of the information content of data, metadata tools for documenting data and Web 2.0 social networking tools for documenting ideas and the collaboration process. This latter work has led to the development of the http://SciSpace.net Web resource.

  18. Mapping, Awareness, and Virtualization Network Administrator Training Tool (MAVNATT) Architecture and Framework

    Science.gov (United States)

    2015-06-01

    exporting, and sharing? 2. What are suitable libraries and application program interfaces (APIs) that can be utilized to create a graphical user...capable of all network monitoring areas and can also perform integrated network discovery with SNMP, LDAP, ICMP, SSH , and other protocols [24], [27], [28...based Mapping Yes (ICMP, SNMP, WMI) Yes (Plugin Dependent) Yes (ICMP, SNMP, WMI, LDAP, SSH ) 24 3. Virtualization Virtualization tools

  19. Use of Virtual Reality Tools for Vestibular Disorders Rehabilitation: A Comprehensive Analysis

    OpenAIRE

    Mathieu Bergeron; Lortie, Catherine L.; Guitton, Matthieu J.

    2015-01-01

    Classical peripheral vestibular disorders rehabilitation is a long and costly process. While virtual reality settings have been repeatedly suggested to represent possible tools to help the rehabilitation process, no systematic study had been conducted so far. We systematically reviewed the current literature to analyze the published protocols documenting the use of virtual reality settings for peripheral vestibular disorders rehabilitation. There is an important diversity of settings and prot...

  20. [What do virtual reality tools bring to child and adolescent psychiatry?

    Science.gov (United States)

    Bioulac, S; de Sevin, E; Sagaspe, P; Claret, A; Philip, P; Micoulaud-Franchi, J A; Bouvard, M P

    2017-09-01

    Virtual reality is a relatively new technology that enables individuals to immerse themselves in a virtual world. It offers several advantages including a more realistic, lifelike environment that may allow subjects to "forget" they are being assessed, allow a better participation and an increased generalization of learning. Moreover, the virtual reality system can provide multimodal stimuli, such as visual and auditory stimuli, and can also be used to evaluate the patient's multimodal integration and to aid rehabilitation of cognitive abilities. The use of virtual reality to treat various psychiatric disorders in adults (phobic anxiety disorders, post-traumatic stress disorder, eating disorders, addictions…) and its efficacy is supported by numerous studies. Similar research for children and adolescents is lagging behind. This may be particularly beneficial to children who often show great interest and considerable success on computer, console or videogame tasks. This article will expose the main studies that have used virtual reality with children and adolescents suffering from psychiatric disorders. The use of virtual reality to treat anxiety disorders in adults is gaining popularity and its efficacy is supported by various studies. Most of the studies attest to the significant efficacy of the virtual reality exposure therapy (or in virtuo exposure). In children, studies have covered arachnophobia social anxiety and school refusal phobia. Despite the limited number of studies, results are very encouraging for treatment in anxiety disorders. Several studies have reported the clinical use of virtual reality technology for children and adolescents with autistic spectrum disorders (ASD). Extensive research has proven the efficiency of technologies as support tools for therapy. Researches are found to be focused on communication and on learning and social imitation skills. Virtual reality is also well accepted by subjects with ASD. The virtual environment offers

  1. Inverse kinematics for optimal tool orientation control in 5-axis CNC machining

    OpenAIRE

    Farouki, RT; Han, CY; Li, S

    2014-01-01

    The problem of determining the inputs to the rotary axes of a 5-axis CNC machine is addressed, such that relative variations of orientation between the tool axis and surface normal are minimized subject to the constraint of maintaining a constant cutting speed with a ball-end tool. In the context of an orientable-spindle machine, the results of a prior study are directly applicable to the solution of this inverse-kinematics problem. However, since they are expressed in terms of the integral o...

  2. Cast Iron And Mineral Cast Applied For Machine Tool Bed - Dynamic Behavior Analysis

    Directory of Open Access Journals (Sweden)

    Kępczak N.

    2015-06-01

    Full Text Available Cast iron and mineral cast are the materials most often used in the machine structural elements design (bodies, housings, machine tools beds etc.. The materials significantly differ in physical and mechanical properties. The ability to suppress vibration is one of the most important factors determining the dynamic properties of the machine and has a significant impact on the machining capabilities of a machine tool. Recent research and development trends show that there is a clear tendency to move away from the traditional iron casting to the mineral casting, due to better dynamic properties of the latter. However mineral cast as a structural material for the whole machine tools bed turns out to be insufficient due to its poor mechanical strength properties. The best solution should benefit from the advantages of the cast iron and mineral cast materials while minimizing their drawbacks. The paper presents numerical modal analysis of two lathe beds: the first one made of gray cast iron and the second one made of hybrid connection of cast iron and mineral cast. The analysis was conducted in order to determine the dynamic properties of two bodies of similar shapes made in the traditional (cast iron and innovative hybrid (cast iron and mineral cast technology. In addition, an analysis of the static structure rigidity of the two beds was performed. During the simulation studies it was found a significant increase in dynamic stiffness and static rigidity of the machine tool body made of hybrid connection of cast iron and mineral cast. The results of numerical simulations have confirmed the desirability of using hybrid construction because the dynamic properties of such a body are more advantageous in comparison with the conventional body made of cast iron.

  3. Usability of a virtual reality environment simulating an automated teller machine for assessing and training persons with acquired brain injury.

    Science.gov (United States)

    Fong, Kenneth N K; Chow, Kathy Y Y; Chan, Bianca C H; Lam, Kino C K; Lee, Jeff C K; Li, Teresa H Y; Yan, Elaine W H; Wong, Asta T Y

    2010-04-30

    This study aimed to examine the usability of a newly designed virtual reality (VR) environment simulating the operation of an automated teller machine (ATM) for assessment and training. Part I involved evaluation of the sensitivity and specificity of a non-immersive VR program simulating an ATM (VR-ATM). Part II consisted of a clinical trial providing baseline and post-intervention outcome assessments. A rehabilitation hospital and university-based teaching facilities were used as the setting. A total of 24 persons in the community with acquired brain injury (ABI)--14 in Part I and 10 in Part II--made up the participants in the study. In Part I, participants were randomized to receive instruction in either an "early" or a "late" VR-ATM program and were assessed using both the VR program and a real ATM. In Part II, participants were assigned in matched pairs to either VR training or computer-assisted instruction (CAI) teaching programs for six 1-hour sessions over a three-week period. Two behavioral checklists based on activity analysis of cash withdrawals and money transfers using a real ATM were used to measure average reaction time, percentage of incorrect responses, level of cues required, and time spent as generated by the VR system; also used was the Neurobehavioral Cognitive Status Examination. The sensitivity of the VR-ATM was 100% for cash withdrawals and 83.3% for money transfers, and the specificity was 83% and 75%, respectively. For cash withdrawals, the average reaction time of the VR group was significantly shorter than that of the CAI group (p = 0.021). We found no significant differences in average reaction time or accuracy between groups for money transfers, although we did note positive improvement for the VR-ATM group. We found the VR-ATM to be usable as a valid assessment and training tool for relearning the use of ATMs prior to real-life practice in persons with ABI.

  4. An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation.

    Directory of Open Access Journals (Sweden)

    Huu-Tho Nguyen

    Full Text Available Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process and a fuzzy COmplex PRoportional ASsessment (COPRAS for multi-attribute decision-making in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment.

  5. An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation.

    Science.gov (United States)

    Nguyen, Huu-Tho; Md Dawal, Siti Zawiah; Nukman, Yusoff; Aoyama, Hideki; Case, Keith

    2015-01-01

    Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process) and a fuzzy COmplex PRoportional ASsessment (COPRAS) for multi-attribute decision-making in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment.

  6. Tele-surgery: a new virtual tool for medical education.

    Science.gov (United States)

    Russomano, Thais; Cardoso, Ricardo B; Fernandes, Jefferson; Cardoso, Paulizan G; Alves, Jarcedy M; Pianta, Christina D; Souza, Hamilton P; Lopes, Maria Helena I

    2009-01-01

    The rapid evolution of telecommunication technology has enabled advances to be made in low cost video-conferencing through the improvement of high speed computer communication networks and the enhancement of Internet security protocols. As a result of this progress, eHealth education programs are becoming a reality in universities, providing the opportunity for students to have greater interaction at live surgery classes by means of virtual participation. Undergraduate students can be introduced to new concepts of medical care, remote second opinion and to telecommunication systems, whilst virtually experiencing surgical procedures and lectures. The better access this provides to the operating theater environment, the patient and the surgeon can improve the learning process for students. An analogical system was used for this experimental pilot project due to the benefits of it being low cost with a comparatively easy setup. The tele-surgery lectures were also transmitted to other universities by means of a Pentium 4 computer using open source software and connected to a portable image acquisition device located in the São Lucas University Hospital. Telemedicine technology has proven to be an important instrument for the improvement of medical education and health care. This study allowed health professionals, professors and students to have greater interaction during surgical procedures, thus enabling a greater opportunity for knowledge exchange.

  7. Virtual Sambor Prei Kuk: An Interactive Learning Tool

    Directory of Open Access Journals (Sweden)

    Daniel Michon

    2012-06-01

    Full Text Available MUVEs (Multi-User Virtual Environments are a new media for researching the genesis and evolution of sites of cultural significance. MUVEs are able to model both the tangible and intangible heritage of a site, allowing the user to obtain a more dynamic understanding of the culture. This paper illustrates a cultural heritage project which captures and communicates the interplay of context (geography, content (architecture and artifacts and temporal activity (rituals and everyday life leading to a unique digital archive of the tangible and intangible heritage of the temple complex at Sambor Prei Kuk, Cambodia, circa seventh-eighth century CE. The MU6VE is used to provide a platform which enables the experience of weaved tangible and intangible cultural heritage. This, we argue, turns static space into meaningful place. Further, this kind of digital model has the potential to bring together Jean Lave and Etienne Wenger’s theorizing on the importance of community in education and more recent theorizing on the impact of Virtual Worlds on learning by James Paul Gee.

  8. Ghost Whisperer's Ghost in the Machine: An example of pop cultural representation of virtual worlds

    DEFF Research Database (Denmark)

    Reinhard, CarrieLynn D.

    2009-01-01

    Analysis of an episode of the CBS series "Ghost Whisperer" for how it depicts a) what is a virtual world and b) the tensions that are involved in discussing the uses and effects of a virtual world.  Discussion focuses on the overriding negative reception of virtual worlds in popular culture due...

  9. Feasibility of Virtual Machine and Cloud Computing Technologies for High Performance Computing

    Science.gov (United States)

    2014-05-01

    Limon et al. conducted a study in 2011, which showed that application virtualization (sometimes called lightweight) outperformed hardware (sometimes...called heavyweight) virtualization solutions such as VMware [10]. Duran- Limon et al. presented a D- 11 VTM [10], an application level framework...Duran- Limon et al. where their lightweight virtualization produced a five percent overhead and “significantly” outperformed VMware [10]. If

  10. Indirect measurement of machine tool motion axis error with single laser tracker

    Science.gov (United States)

    Wu, Zhaoyong; Li, Liangliang; Du, Zhengchun

    2015-02-01

    For high-precision machining, a convenient and accurate detection of motion error for machine tools is significant. Among common detection methods such as the ball-bar method, the laser tracker approach has received much more attention. As a high-accuracy measurement device, laser tracker is capable of long-distance and dynamic measurement, which increases much flexibility during the measurement process. However, existing methods are not so satisfactory in measurement cost, operability or applicability. Currently, a plausible method is called the single-station and time-sharing method, but it needs a large working area all around the machine tool, thus leaving itself not suitable for the machine tools surrounded by a protective cover. In this paper, a novel and convenient positioning error measurement approach by utilizing a single laser tracker is proposed, followed by two corresponding mathematical models including a laser-tracker base-point-coordinate model and a target-mirror-coordinates model. Also, an auxiliary apparatus for target mirrors to be placed on is designed, for which sensitivity analysis and Monte-Carlo simulation are conducted to optimize the dimension. Based on the method proposed, a real experiment using single API TRACKER 3 assisted by the auxiliary apparatus is carried out and a verification experiment using a traditional RENISHAW XL-80 interferometer is conducted under the same condition for comparison. Both results demonstrate a great increase in the Y-axis positioning error of machine tool. Theoretical and experimental studies together verify the feasibility of this method which has a more convenient operation and wider application in various kinds of machine tools.

  11. A model for flexible tools used in minimally invasive medical virtual environments.

    Science.gov (United States)

    Soler, Francisco; Luzon, M Victoria; Pop, Serban R; Hughes, Chris J; John, Nigel W; Torres, Juan Carlos

    2011-01-01

    Within the limits of current technology, many applications of a virtual environment will trade-off accuracy for speed. This is not an acceptable compromise in a medical training application where both are essential. Efficient algorithms must therefore be developed. The purpose of this project is the development and validation of a novel physics-based real time tool manipulation model, which is easy to integrate into any medical virtual environment that requires support for the insertion of long flexible tools into complex geometries. This encompasses medical specialities such as vascular interventional radiology, endoscopy, and laparoscopy, where training, prototyping of new instruments/tools and mission rehearsal can all be facilitated by using an immersive medical virtual environment. Our model recognises and uses accurately patient specific data and adapts to the geometrical complexity of the vessel in real time.

  12. An Energy Aware Unified Ant Colony System for Dynamic Virtual Machine Placement in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Xiao-Fang Liu

    2017-05-01

    Full Text Available Energy efficiency is a significant topic in cloud computing. Dynamic consolidation of virtual machines (VMs with live migration is an important method to reduce energy consumption. However, frequent VM live migration may cause a downtime of service. Therefore, the energy save and VM migration are two conflict objectives. In order to efficiently solve the dynamic VM consolidation, the dynamic VM placement (DVMP problem is formed as a multiobjective problem in this paper. The goal of DVMP is to find a placement solution that uses the fewest servers to host the VMs, including two typical dynamic conditions of the assignment of new coming VMs and the re-allocation of existing VMs. Therefore, we propose a unified algorithm based on an ant colony system (ACS, termed the unified ACS (UACS, that works on both conditions. The UACS firstly uses sufficient servers to host the VMs and then gradually reduces the number of servers. With each especial number of servers, the UACS tries to find feasible solutions with the fewest VM migrations. Herein, a dynamic pheromone deposition method and a special heuristic information strategy are also designed to reduce the number of VM migrations. Therefore, the feasible solutions under different numbers of servers cover the Pareto front of the multiobjective space. Experiments with large-scale random workloads and real workload traces are conducted to evaluate the performance of the UACS. Compared with traditional heuristic, probabilistic, and other ACS based algorithms, the proposed UACS presents competitive performance in terms of energy consumption, the number of VM migrations, and maintaining quality of services (QoS requirements.

  13. Resources and costs for microbial sequence analysis evaluated using virtual machines and cloud computing.

    Directory of Open Access Journals (Sweden)

    Samuel V Angiuoli

    Full Text Available BACKGROUND: The widespread popularity of genomic applications is threatened by the "bioinformatics bottleneck" resulting from uncertainty about the cost and infrastructure needed to meet increasing demands for next-generation sequence analysis. Cloud computing services have been discussed as potential new bioinformatics support systems but have not been evaluated thoroughly. RESULTS: We present benchmark costs and runtimes for common microbial genomics applications, including 16S rRNA analysis, microbial whole-genome shotgun (WGS sequence assembly and annotation, WGS metagenomics and large-scale BLAST. Sequence dataset types and sizes were selected to correspond to outputs typically generated by small- to midsize facilities equipped with 454 and Illumina platforms, except for WGS metagenomics where sampling of Illumina data was used. Automated analysis pipelines, as implemented in the CloVR virtual machine, were used in order to guarantee transparency, reproducibility and portability across different operating systems, including the commercial Amazon Elastic Compute Cloud (EC2, which was used to attach real dollar costs to each analysis type. We found considerable differences in computational requirements, runtimes and costs associated with different microbial genomics applications. While all 16S analyses completed on a single-CPU desktop in under three hours, microbial genome and metagenome analyses utilized multi-CPU support of up to 120 CPUs on Amazon EC2, where each analysis completed in under 24 hours for less than $60. Representative datasets were used to estimate maximum data throughput on different cluster sizes and to compare costs between EC2 and comparable local grid servers. CONCLUSIONS: Although bioinformatics requirements for microbial genomics depend on dataset characteristics and the analysis protocols applied, our results suggests that smaller sequencing facilities (up to three Roche/454 or one Illumina GAIIx sequencer invested

  14. GPURFSCREEN: a GPU based virtual screening tool using random forest classifier.

    Science.gov (United States)

    Jayaraj, P B; Ajay, Mathias K; Nufail, M; Gopakumar, G; Jaleel, U C A

    2016-01-01

    In-silico methods are an integral part of modern drug discovery paradigm. Virtual screening, an in-silico method, is used to refine data models and reduce the chemical space on which wet lab experiments need to be performed. Virtual screening of a ligand data model requires large scale computations, making it a highly time consuming task. This process can be speeded up by implementing parallelized algorithms on a Graphical Processing Unit (GPU). Random Forest is a robust classification algorithm that can be employed in the virtual screening. A ligand based virtual screening tool (GPURFSCREEN) that uses random forests on GPU systems has been proposed and evaluated in this paper. This tool produces optimized results at a lower execution time for large bioassay data sets. The quality of results produced by our tool on GPU is same as that on a regular serial environment. Considering the magnitude of data to be screened, the parallelized virtual screening has a significantly lower running time at high throughput. The proposed parallel tool outperforms its serial counterpart by successfully screening billions of molecules in training and prediction phases.

  15. New production technologies in aerospace industry - 5th machining innovations conference (MIC 2014) conceptual design for electromagnetic guided rotary table in machine tools

    OpenAIRE

    Denkena, Berend; Dahlmann, D.; Floeter, F.; Bruehne, T.

    2014-01-01

    Difficult-to-machine materials are still challenging the production industry. Examples are highly complex components of aircraft engines. Alongside innovative processes, also improved machine tool components are helping to comply with the demands of this task. This paper presents a design approach of a rotary table with an active magnetic bearing. Opportunities in machining through employing magnetic guides are presented and discussed in the beginning. In the following, a workflow for the mag...

  16. Miniaturized multiwavelength digital holography sensor for extensive in-machine tool measurement

    Science.gov (United States)

    Seyler, Tobias; Fratz, Markus; Beckmann, Tobias; Bertz, Alexander; Carl, Daniel

    2017-06-01

    In this paper we present a miniaturized digital holographic sensor (HoloCut) for operation inside a machine tool. With state-of-the-art 3D measurement systems, short-range structures such as tool marks cannot be resolved inside a machine tool chamber. Up to now, measurements had to be conducted outside the machine tool and thus processing data are generated offline. The sensor presented here uses digital multiwavelength holography to get 3D-shape-information of the machined sample. By using three wavelengths, we get a large artificial wavelength with a large unambiguous measurement range of 0.5mm and achieve micron repeatability even in the presence of laser speckles on rough surfaces. In addition, a digital refocusing algorithm based on phase noise is implemented to extend the measurement range beyond the limits of the artificial wavelength and geometrical depth-of-focus. With complex wave field propagation, the focus plane can be shifted after the camera images have been taken and a sharp image with extended depth of focus is constructed consequently. With 20mm x 20mm field of view the sensor enables measurement of both macro- and micro-structure (such as tool marks) with an axial resolution of 1 µm, lateral resolution of 7 µm and consequently allows processing data to be generated online which in turn qualifies it as a machine tool control. To make HoloCut compact enough for operation inside a machining center, the beams are arranged in two planes: The beams are split into reference beam and object beam in the bottom plane and combined onto the camera in the top plane later on. Using a mechanical standard interface according to DIN 69893 and having a very compact size of 235mm x 140mm x 215mm (WxHxD) and a weight of 7.5 kg, HoloCut can be easily integrated into different machine tools and extends no more in height than a typical processing tool.

  17. A numerical study of ultraprecision machining of monocrystalline silicon with laser nano-structured diamond tools by atomistic simulation

    Science.gov (United States)

    Dai, Houfu; Chen, Genyu; Zhou, Cong; Fang, Qihong; Fei, Xinjiang

    2017-01-01

    Three-dimension molecular dynamics (MD) simulations is employed to investigate the ultraprecision machining of single crystal silicon with structured nanoscale diamond tool fabricated by laser. The advantages and disadvantages of diamond machining using structured tools are discussed in comparison with those of using non-structured tools. The von Mises stress distribution, hydrostatic stress distribution, atomic displacement, stress, the radial distribution function, cutting forces, frictional coefficient, subsurface temperature and potential energy during the nanometric machining process are studied. A theoretical analysis model is also established to investigate the subsurface damage mechanism by analyzing the distribution of residual stress during the nanoscale machining process. The results show that a structured nanoscale tool in machining brittle material silicon causes a smaller hydrostatic stress, a less compressive normal stress σxx and σyy , a lower temperature and a smaller cutting force. However, the structured nanoscale tool machining results in smaller chip volume and more beta-silicon phase. Besides, the friction coefficient for tool with V-shape groove is smaller than those for non-structured tools and other structured nanoscale tools. This means that the tool with V-shape groove can reduce the resistance to cutting during the nanoscale machining process. In addition, the results also point out that the potential energy of subsurface atoms and the number of other atoms for pyramid-structured tool are much smaller than those of using non-structured tools and other structured nanoscale tools.

  18. A Tool for Assessing the Text Legibility of Digital Human Machine Interfaces

    Energy Technology Data Exchange (ETDEWEB)

    Roger Lew; Ronald L. Boring; Thomas A. Ulrich

    2015-08-01

    A tool intended to aid qualified professionals in the assessment of the legibility of text presented on a digital display is described. The assessment of legibility is primarily for the purposes of designing and analyzing human machine interfaces in accordance with NUREG-0700 and MIL-STD 1472G. The tool addresses shortcomings of existing guidelines by providing more accurate metrics of text legibility with greater sensitivity to design alternatives.

  19. MACHINING STRATEGIES FOR GEAR CUTTING WITH DISC-SHAPED MILLING TOOLS

    OpenAIRE

    Pasternak, Sergej; Danylchenko, Yuriy; Heisel, Uwe

    2015-01-01

    Purpose. Classification of different machining strategies underlying the known methods for gear cutting with disc-shaped milling tools as well as preliminary determination of their advantages and disadvantages before profound studies by simulations and experiments.Design/methodology/approach. This paper is concerned with the analysis of the different methods for gear cutting with disc-shaped milling tools in order to determine their advantages or disadvantages in terms of flexibility, product...

  20. Virtual Planning, Control, and Machining for a Modular-Based Automated Factory Operation in an Augmented Reality Environment

    Science.gov (United States)

    Pai, Yun Suen; Yap, Hwa Jen; Md Dawal, Siti Zawiah; Ramesh, S.; Phoon, Sin Ye

    2016-06-01

    This study presents a modular-based implementation of augmented reality to provide an immersive experience in learning or teaching the planning phase, control system, and machining parameters of a fully automated work cell. The architecture of the system consists of three code modules that can operate independently or combined to create a complete system that is able to guide engineers from the layout planning phase to the prototyping of the final product. The layout planning module determines the best possible arrangement in a layout for the placement of various machines, in this case a conveyor belt for transportation, a robot arm for pick-and-place operations, and a computer numerical control milling machine to generate the final prototype. The robotic arm module simulates the pick-and-place operation offline from the conveyor belt to a computer numerical control (CNC) machine utilising collision detection and inverse kinematics. Finally, the CNC module performs virtual machining based on the Uniform Space Decomposition method and axis aligned bounding box collision detection. The conducted case study revealed that given the situation, a semi-circle shaped arrangement is desirable, whereas the pick-and-place system and the final generated G-code produced the highest deviation of 3.83 mm and 5.8 mm respectively.

  1. Virtual Planning, Control, and Machining for a Modular-Based Automated Factory Operation in an Augmented Reality Environment.

    Science.gov (United States)

    Pai, Yun Suen; Yap, Hwa Jen; Md Dawal, Siti Zawiah; Ramesh, S; Phoon, Sin Ye

    2016-06-07

    This study presents a modular-based implementation of augmented reality to provide an immersive experience in learning or teaching the planning phase, control system, and machining parameters of a fully automated work cell. The architecture of the system consists of three code modules that can operate independently or combined to create a complete system that is able to guide engineers from the layout planning phase to the prototyping of the final product. The layout planning module determines the best possible arrangement in a layout for the placement of various machines, in this case a conveyor belt for transportation, a robot arm for pick-and-place operations, and a computer numerical control milling machine to generate the final prototype. The robotic arm module simulates the pick-and-place operation offline from the conveyor belt to a computer numerical control (CNC) machine utilising collision detection and inverse kinematics. Finally, the CNC module performs virtual machining based on the Uniform Space Decomposition method and axis aligned bounding box collision detection. The conducted case study revealed that given the situation, a semi-circle shaped arrangement is desirable, whereas the pick-and-place system and the final generated G-code produced the highest deviation of 3.83 mm and 5.8 mm respectively.

  2. Determination of real machine-tool settings and minimization of real surface deviation by computerized inspection

    Science.gov (United States)

    Litvin, Faydor L.; Kuan, Chihping; Zhang, YI

    1991-01-01

    A numerical method is developed for the minimization of deviations of real tooth surfaces from the theoretical ones. The deviations are caused by errors of manufacturing, errors of installment of machine-tool settings and distortion of surfaces by heat-treatment. The deviations are determined by coordinate measurements of gear tooth surfaces. The minimization of deviations is based on the proper correction of initially applied machine-tool settings. The contents of accomplished research project cover the following topics: (1) Descriptions of the principle of coordinate measurements of gear tooth surfaces; (2) Deviation of theoretical tooth surfaces (with examples of surfaces of hypoid gears and references for spiral bevel gears); (3) Determination of the reference point and the grid; (4) Determination of the deviations of real tooth surfaces at the points of the grid; and (5) Determination of required corrections of machine-tool settings for minimization of deviations. The procedure for minimization of deviations is based on numerical solution of an overdetermined system of n linear equations in m unknowns (m much less than n ), where n is the number of points of measurements and m is the number of parameters of applied machine-tool settings to be corrected. The developed approach is illustrated with numerical examples.

  3. Manufacturing process applications team (MATEAM). [technology transfer in the areas of machine tools and robots

    Science.gov (United States)

    1979-01-01

    The transfer of NASA technology to the industrial sector is reported. Presentations to the machine tool and robot industries and direct technology transfers of the Adams Manipulator arm, a-c motor control, and the bolt tension monitor are discussed. A listing of proposed RTOP programs with strong potential is included. A detailed description of the rotor technology available to industry is given.

  4. Program Suite for Conceptual Designing of Parallel Mechanism-Based Robots and Machine Tools

    Directory of Open Access Journals (Sweden)

    Slobodan Tabaković

    2013-06-01

    Full Text Available In the development of robots and machine tools, in addition to conventional and serial structures, parallel mechanism-based kinematic structures have been used over a longer period of time. Aside from a number of advantages, the irregular shape and relatively small dimensions of the workspace formed by parallel mechanisms rank among the major weaknesses of their application. Accordingly, this fact has to be taken into consideration in the process of designing parallel mechanism-based robots or machine tools. This paper describes the categorization of criteria for the conceptual design of parallel mechanism-based robots or machine tools, resulting from workspace analysis as well as the procedure of their defining. Furthermore, it also presents the designing methodology that was implemented into the program for the creation of a robot or machine tool space model and the optimization of the resulting solution. For verification of the criteria and the programme suite, three common (conceptually different mechanisms with a similar mechanical structure and kinematic characteristics were used.

  5. Effect of milling strategy and tool geometry on machining cost when cutting titanium alloys

    Directory of Open Access Journals (Sweden)

    Conradie, Pieter

    2015-11-01

    Full Text Available The growing demands on aerospace manufacturers to cut more difficult-to-machine materials at increasing material removal rates require that manufacturers enhance their machining capability. This requires a better understanding of the effects of milling strategies and tool geometries on cutting performance. Ti6Al4V is the most widely-used titanium alloy in the aerospace industry, due to its unique combination of properties. These properties also make the alloy very challenging to machine. Complex aerospace geometries necessitate large material removal, and are therefore generally associated with high manufacturing costs. To investigate the effect of milling strategy and tool geometry on cutting performance, the new constant engagement milling strategy was firstly compared with a conventional approach. Thereafter, a component was milled with different cutting tool geometries. Cost savings of more than 40% were realised by using a constant engagement angle milling strategy. A reduction of 38% in machining time was achieved by using tools with a land on the rake side of the cutting edge. These incremental improvements made it possible to enhance the overall performance of the cutting process.

  6. Global Quantitative Sensitivity Analysis and Compensation of Geometric Errors of CNC Machine Tool

    Directory of Open Access Journals (Sweden)

    Shijie Guo

    2016-01-01

    Full Text Available A quantitative analysis to identify the key geometric error elements and their coupling is the prerequisite and foundation for improving the precision of machine tools. The purpose of this paper is to identify key geometric error elements and compensate for geometric errors accordingly. The geometric error model of three-axis machine tool is built on the basis of multibody system theory; and the quantitative global sensitivity analysis (GSA model of geometric error elements is constructed by using extended Fourier amplitude sensitivity test method. The crucial geometric errors are identified; and stochastic characteristics of geometric errors are taken into consideration in the formulation of building up the compensation strategy. The validity of geometric error compensation based on sensitivity analysis is verified on a high-precision three-axis machine tool with open CNC system. The experimental results show that the average compensation rates along the X, Y, and Z directions are 59.8%, 65.5%, and 73.5%, respectively. The methods of sensitivity analysis and geometric errors compensation presented in this paper are suitable for identifying the key geometric errors and improving the precision of CNC machine tools effectively.

  7. Research on Key Technologies of Unit-Based CNC Machine Tool Assembly Design

    Directory of Open Access Journals (Sweden)

    Zhongqi Sheng

    2014-01-01

    Full Text Available Assembly is the part that produces the maximum workload and consumed time during product design and manufacturing process. CNC machine tool is the key basic equipment in manufacturing industry and research on assembly design technologies of CNC machine tool has theoretical significance and practical value. This study established a simplified ASRG for CNC machine tool. The connection between parts, semantic information of transmission, and geometric constraint information were quantified to assembly connection strength to depict the assembling difficulty level. The transmissibility based on trust relationship was applied on the assembly connection strength. Assembly unit partition based on assembly connection strength was conducted, and interferential assembly units were identified and revised. The assembly sequence planning and optimization of parts in each assembly unit and between assembly units was conducted using genetic algorithm. With certain type of high speed CNC turning center, as an example, this paper explored into the assembly modeling, assembly unit partition, and assembly sequence planning and optimization and realized the optimized assembly sequence of headstock of CNC machine tool.

  8. METHODS FOR CUTTING FEED STABILIZATION OF POWER-PRODUCING BED PLATE OF MACHINE TOOLS

    Directory of Open Access Journals (Sweden)

    A. A. Zhuk

    2008-01-01

    Full Text Available Analysis of factors that influence on cutting feed stabilization of horizontal power-producing bed plate of machine tools has been made in the paper. Circuit diagrams and design for better cutting feed stabilization of power-producing bed plates are given in the paper

  9. Hybrid metallic nanocomposites for extra wear-resistant diamond machining tools

    DEFF Research Database (Denmark)

    Loginov, P.A.; Sidorenko, D.A.; Levashov, E.A.

    2018-01-01

    The applicability of metallic nanocomposites as binder for diamond machining tools is demonstrated. The various nanoreinforcements (carbon nanotubes, boron nitride hBN, nanoparticles of tungsten carbide/WC) and their combinations are embedded into metallic matrices and their mechanical properties...

  10. Influence of Workpiece Material on Tool Wear Performance and Tribofilm Formation in Machining Hardened Steel

    Directory of Open Access Journals (Sweden)

    Junfeng Yuan

    2016-04-01

    Full Text Available In addition to the bulk properties of a workpiece material, characteristics of the tribofilms formed as a result of workpiece material mass transfer to the friction surface play a significant role in friction control. This is especially true in cutting of hardened materials, where it is very difficult to use liquid based lubricants. To better understand wear performance and the formation of beneficial tribofilms, this study presents an assessment of uncoated mixed alumina ceramic tools (Al2O3+TiC in the turning of two grades of steel, AISI T1 and AISI D2. Both workpiece materials were hardened to 59 HRC then machined under identical cutting conditions. Comprehensive characterization of the resulting wear patterns and the tribofilms formed at the tool/workpiece interface were made using X-ray Photoelectron Spectroscopy and Scanning Electron Microscopy. Metallographic studies on the workpiece material were performed before the machining process and the surface integrity of the machined part was investigated after machining. Tool life was 23% higher when turning D2 than T1. This improvement in cutting tool life and wear behaviour was attributed to a difference in: (1 tribofilm generation on the friction surface and (2 the amount and distribution of carbide phases in the workpiece materials. The results show that wear performance depends both on properties of the workpiece material and characteristics of the tribofilms formed on the friction surface.

  11. The Macroeconomic Context of Investments in the Field of Machine Tools in the Czech Republic

    Directory of Open Access Journals (Sweden)

    Povolná Lucie

    2017-06-01

    Full Text Available The article focuses on the macroeconomic analysis of production, export, import and investment in machine tools in the Czech Republic in the context of the initiative of Industry 4.0. Machine tools (MT are among traditional industries in the Czech Republic and the industry has an innovative and growth potential. However, the economic crisis may disrupt or modify this trend. The article focuses on the analysis of correlations between GDP growth and production of MT, MT exports and investments in MT in the Czech Republic after the accession to the European Union in 2004 during the economic crisis of 2009 and the post-crisis development until 2014. The results show that production and exports are directly related to fluctuations in GDP and the economic cycle, but domestic investment in machine tools did not show this dependence. It is necessary to capture new trends to increase the competitiveness of the MT industry. The course of recovery of Czech economy after the economic crisis of 2009 indicates signals of qualitative changes in the traditional field of machine tool production. Comparing the years 2013 and 2014, it shows that export MT (SITC 731 fell in 2014, although the total exports from the Czech Republic to Europe and to the world grew significantly.

  12. COMBINED TOOL WITH POSSIBILITIES FOR ONE-TIME MACHINING OF OPENING OF HYDRAULIC CYLINDERS

    Directory of Open Access Journals (Sweden)

    Pavel Petrov

    2016-12-01

    Full Text Available The present article is suggested new design of the cutting part of the combine tool for treatment the holes of hydraulic cylinders in which the cutting inserts of the movable two-blade block are axially displaced. As a result of this removed allowance of machining increases and provides high accuracy and productivity.

  13. THE APPLICATION OF UNIVERSAL CNC MACHINE TOOL FOR SPUR GEARS MANUFACTURING

    Directory of Open Access Journals (Sweden)

    Leszek Skoczylas

    2013-09-01

    Full Text Available The article introduces two variants of making spur gears by using universal CNC machine tools with universal shank cutter. The measurement of the chosen parameters of geometric structures of gear tooth surface were carried out as well as their comparison was made.

  14. THE EVALUATION OF TOOL WEAR IN THE MACHINING AISI 1050 STEEL HARDENED UP TO 53 HRC WITH COATED CARBIDE TOOL

    Directory of Open Access Journals (Sweden)

    Ali Rıza MOTORCU

    2006-03-01

    Full Text Available In this study, the machining of AISI 1050 steel which is hardened up to 53 HRC is carried out with two carbide tool materials (three layer coated carbide of TP100 containing Ti (C, N/Al2O3/TiN and (multi layer coated carbide of TP1000 containing Ti (C, N/Al2O3/ Ti (C, N/TiN. Cutting tests are performed with constant depth of cut and feed rate under dry cutting conditions. The flank wear is examined using an optical microscope. Tool life curves and Taylor Tool Life Equation constants (n, C are obtained via the flank wear data at various cutting speeds. The test results show that tools' performance is adversely affected by increasing cutting speed due to increased temperatures and stress generated at the cutting edges during machining. Flank wear and chipping/fracture of the tool edges are identified the major failure modes at the cutting conditions. TP1000 multilayer coated inserts give longer tool life than those of TP100 three layer coated inserts.

  15. Effect of changing polarity of graphite tool/ Hadfield steel workpiece couple on machining performances in die sinking EDM

    Directory of Open Access Journals (Sweden)

    Özerkan Haci Bekir

    2017-01-01

    Full Text Available In this study, machining performance ouput parameters such as machined surface roughness (SR, material removal rate (MRR, tool wear rate (TWR, were experimentally examined and analyzed with the diversifying and changing machining parameters in (EDM. The processing parameters (input par. of this research are stated as tool material, peak current (I, pulse duration (ton and pulse interval (toff. The experimental machinings were put into practice by using Hadfield steel workpiece (prismatic and cylindrical graphite electrodes with kerosene dielectric at different machining current, polarity and pulse time settings. The experiments have shown that the type of tool material, polarity (direct polarity forms higher MRR, SR and TWR, current (high current lowers TWR and enhances MRR, TWR and pulse on time (ton=48□s is critical threshold value for MRR and TWR were influential on machining performance in electrical discharge machining.

  16. A novel vending machine for supplying root canal tools during surgery.

    Science.gov (United States)

    Nelson, Carl A; Hossain, S G M; Al-Okaily, Ala'a; Ong, Jason

    2012-02-01

    A root canal surgery involves the successive use of several tools one after another. Typically dozens of tools are laid out for possible use, and the process of tool selection is done manually. This is a rather inefficient process and uses up a large area on the mobile cart or cabinet of the dental chair due to the large number of tools. In this article, a novel 'tool vending machine' is introduced which will be capable of solving those problems and at the same time move a step closer to robot-assisted dental surgery. The tool vending machine was designed considering the needs of the dentists and also from the perspective of the entire product life cycle. For these reasons the design process was implemented using a rigorous analysis of effective manufacturing processes and product quality. To show the feasibility of using such a machine in improving work efficiency during operations, a study of the associated motion patterns and the required time increments were demonstrated.

  17. A Cross-Entropy-Based Admission Control Optimization Approach for Heterogeneous Virtual Machine Placement in Public Clouds

    Directory of Open Access Journals (Sweden)

    Li Pan

    2016-03-01

    Full Text Available Virtualization technologies make it possible for cloud providers to consolidate multiple IaaS provisions into a single server in the form of virtual machines (VMs. Additionally, in order to fulfill the divergent service requirements from multiple users, a cloud provider needs to offer several types of VM instances, which are associated with varying configurations and performance, as well as different prices. In such a heterogeneous virtual machine placement process, one significant problem faced by a cloud provider is how to optimally accept and place multiple VM service requests into its cloud data centers to achieve revenue maximization. To address this issue, in this paper, we first formulate such a revenue maximization problem during VM admission control as a multiple-dimensional knapsack problem, which is known to be NP-hard to solve. Then, we propose to use a cross-entropy-based optimization approach to address this revenue maximization problem, by obtaining a near-optimal eligible set for the provider to accept into its data centers, from the waiting VM service requests in the system. Finally, through extensive experiments and measurements in a simulated environment with the settings of VM instance classes derived from real-world cloud systems, we show that our proposed cross-entropy-based admission control optimization algorithm is efficient and effective in maximizing cloud providers’ revenue in a public cloud computing environment.

  18. Ecological assessment of divided attention: What about the current tools and the relevancy of virtual reality.

    Science.gov (United States)

    Lopez Maïté, C; Gaétane, D; Axel, C

    2016-01-01

    The ability to perform two tasks simultaneously has become increasingly important as attention-demanding technologies have become more common in daily life. This type of attentional resources allocation is commonly called "divided attention". Because of the importance of divided attention in natural world settings, substantial efforts have been made recently so as to promote an integrated, realistic assessment of functional abilities in dual-task paradigms. In this context, virtual reality methods appear to be a good solution. However to date, there has been little discussion on validity of such methods. Here, we offer a comparative review of conventional tools used to assess divided attention and of the first virtual reality studies (mostly from the field of road and pedestrian safety). The ecological character of virtual environments leads to a better understanding of the influence of dual-task settings and also makes it possible to clarify issues such as the utility of hands-free phones. After discussing the theoretical and clinical contributions of these studies, we discuss the limits of virtual reality assessment, focusing in particular: (i) on the challenges associated with lack of familiarity with new technological devices; (ii) on the validity of the ecological character of virtual environments; and (iii) on the question of whether the results obtained in a specific context can be generalized to all dual-task situations typical of daily life. To overcome the limitations associated with virtual reality, we propose: (i) to include a standardized familiarization phase in assessment protocols so as to limit the interference caused by the use of new technologies; (ii) to systematically compare virtual reality performance with conventional tests or real-life tests; and (iii) to design dual-task scenarios that are independent from the patient's expertise on one of the two tasks. We conclude that virtual reality appears to constitute a useful tool when used in

  19. Analysis of the Identification Principle of Yaw Error of Five-axis Machine Tool Rotary Table in the Virtue Error Sensitive Direction Based on the Machining Test

    Science.gov (United States)

    Zhang, Y.; Zhang, L.

    2017-12-01

    The identification principle of the yaw error of five-axis machine tool rotary table in the virtue error sensitive direction by DBB is analysed. According to the measurement principle of DBB, the virtue error sensitive direction was adopted, and a machining test to identify the yaw error of the rotating table is designed and discussed. The function relationship of the yaw error and the machining error in the corresponding sensitive direction was deduced, and the analysis shows that the yaw error can be separated from the machining test.

  20. THE INFLUENCE OF CONTEXT IN VIRTUAL TOOL USING LA INFLUENCIA DEL CONTEXTO EN LOS USOS DE LAS HERRAMIENTAS VIRTUALES

    Directory of Open Access Journals (Sweden)

    María Luisa Sevillano García

    2010-12-01

    Full Text Available This article is the product of an investigation that has pursued the following objectives: To know the uses of virtual tools by a representative population in age, profession, gender and formation. To identify the difficulties they encounter and to look for their causes. To assess the advantages of every tool in professional life, in leisure time and in teaching work.A sampling by quota has been chosen, basically for its rigor. The data acquisition tools -questionnaire protocol, interview script, and discussion group- than have been developed and applied make it possible to go beyond the frontier of quantitative vs qualitative analysis and to advance into a mixed methodology.  A quick, sure, selective, pertinent use of the studied virtual tools represents a principle of innovation, access to knowledge and development of professional performance. The qualifying in basic competences for building, transferring and processing general and specialized knowledge that can be found on the net and that is useful throughout one's life. Este artículo es producto de una investigación que ha perseguido los siguientes objetivos: Conocer los usos de las herramientas virtuales por una población representativa en edades, profesiones, género y formación. Identificar las dificultades que encuentran y buscar las causas que las originan .Valorar las ventajas de cada una de las herramientas en la vida profesional, en el ocio y en la labor formativa.Se ha elegido un muestreo por cuotas, fundamentalmente, por el rigor que otorga.Las herramientas de toma de datos elaboradas y aplicadas —protocolo de cuestionario, guión de entrevista y grupo de discusión— posibilitan traspasar la frontera del análisis cuantitativo versus cualitativo para adentrarse en una metodología mixta.Un aprovechamiento acertado, rápido, seguro, selectivo de las herramientas virtuales estudiadas representa un principio de innovación, acceso al conocimiento y desarrollo de la actuaci

  1. A vibrating razor blade machining tool for material removal on low- density foams

    Energy Technology Data Exchange (ETDEWEB)

    Hillyer, D.F. Jr.

    1990-10-01

    The Lawrence Livermore National Laboratory (LLNL) has developed an accurate method of machining low-density foams into rectangular blank shapes by using a commercial oscillating razor blade machining tool concept marketed as a Vibratome. Since 1970, Vibratome has been used by medical laboratories to section fresh or fixed animal and plant tissues without freezing or embedding. By employing a vibrating razor blade principle, Vibratome sectioning avoids the alteration of morphology and the destruction of enzyme activities. The patented vibrating blade principle moves the sectioning razor blade in a reciprocating arcuate path as it penetrates the specimen. Sectioning takes place in a liquid bath using an ordinary injector-type razor blade. Although other commercial products may accomplish the same task, the Vibratome concept is currently being used at LLNL to obtain improved foam surface qualities from razor machining by combining state-of-the-art air bearing hardware with precise linear motion and an electrodynamic exciter that generates sinusoidal excitation. Razor cut foam surfaces of less than 25 {mu}m (0.001 in.) flatness are achieved over areas of 8.75 in.{sup 2} (2.5 {times} 3.5 in.). Razor machining of wide or narrow foam surfaces is generally characterized by a continuous curl chip for the full length of the material removed. This continuous chip facilitates flatness and prevents increased surface densities caused by material chip collection often left in the surface cells by conventional machine tools. This report covers the design evolution of razor machining of non-metallic soft materials. Hardware that maintains close dimensional tolerances and concurrently leaves the machined surface free of physical property changes is described. 20 figs.

  2. The Use of Translation Tool in Efl Learning: Do Machine Translation Give Positive Impact in Language Learning?

    OpenAIRE

    Mahardika, Rizka

    2017-01-01

    Translation tools are commonly used for translating a text written in one language (source language) into another language (target language). They are used to help translators in translating big numbers of translation works in effective time. There are three types of translation tools being studied in the article entitled Machine Translation Tools: Tools of the Translator's Trade written by Peter Katsberg published in 2012. They are Fully Automated Machine Translation (or FAMT), Human Aided M...

  3. Immersive virtual environment technology: a promising tool for future social and behavioral genomics research and practice.

    Science.gov (United States)

    Persky, Susan; McBride, Colleen M

    2009-12-01

    Social and behavioral research needs to get started now if scientists are to direct genomic discoveries to address pressing public health problems. Advancing social and behavioral science will require innovative and rigorous communication methodologies that move researchers beyond reliance on traditional tools and their inherent limitations. One such emerging research tool is immersive virtual environment technology (virtual reality), a methodology that gives researchers the ability to maintain high experimental control and mundane realism of scenarios; portray and manipulate complex, abstract objects and concepts; and implement innovative implicit behavioral measurement. This report suggests the role that immersive virtual environment technology can play in furthering future research in genomics-related education, decision making, test intentions, behavior change, and health-care provider behaviors. Practical implementation and challenges are also discussed.

  4. The role of measurement and modelling of machine tools in improving product quality

    Directory of Open Access Journals (Sweden)

    Longstaff A.P.

    2013-01-01

    Full Text Available Manufacturing of high-quality components and assemblies is clearly recognised by industrialised nations as an important means of wealth generation. A “right first time” paradigm to producing finished components is the desirable goal to maximise economic benefits and reduce environmental impact. Such an ambition is only achievable through an accurate model of the machinery used to shape the finished article. In the first analysis, computer aided design (CAD and computer aided manufacturing (CAM can be used to produce an instruction list of three-dimensional coordinates and intervening tool paths to translate the intent of a design engineer into an unambiguous set of commands for a manufacturing machine. However, in order for the resultant manufacturing program to produce the desired output within the specified tolerance, the model of the machine has to be sufficiently accurate. In this paper, the spatial and temporal sources of error and various contemporary means of modelling are discussed. Limitations and assumptions in the models are highlighted and an estimate of their impact is made. Measurement of machine tools plays a vital role in establishing the accuracy of a particular machine and calibrating its unique model, but is an often misunderstood and misapplied discipline. Typically, the individual errors of the machine will be quantified at a given moment in time, but without sufficient consideration either for the uncertainty of individual measurements or a full appreciation of the complex interaction between each independently measured error. This paper draws on the concept of a “conformance zone”, as specified in the ISO 230:1 – 2012, to emphasise the need for a fuller understanding of the complex uncertainty of measurement model for a machine tool. Work towards closing the gap in this understanding is described and limitations are noted.

  5. Man, mind, and machine: the past and future of virtual reality simulation in neurologic surgery.

    Science.gov (United States)

    Robison, R Aaron; Liu, Charles Y; Apuzzo, Michael L J

    2011-11-01

    To review virtual reality in neurosurgery, including the history of simulation and virtual reality and some of the current implementations; to examine some of the technical challenges involved; and to propose a potential paradigm for the development of virtual reality in neurosurgery going forward. A search was made on PubMed using key words surgical simulation, virtual reality, haptics, collision detection, and volumetric modeling to assess the current status of virtual reality in neurosurgery. Based on previous results, investigators extrapolated the possible integration of existing efforts and potential future directions. Simulation has a rich history in surgical training, and there are numerous currently existing applications and systems that involve virtual reality. All existing applications are limited to specific task-oriented functions and typically sacrifice visual realism for real-time interactivity or vice versa, owing to numerous technical challenges in rendering a virtual space in real time, including graphic and tissue modeling, collision detection, and direction of the haptic interface. With ongoing technical advancements in computer hardware and graphic and physical rendering, incremental or modular development of a fully immersive, multipurpose virtual reality neurosurgical simulator is feasible. The use of virtual reality in neurosurgery is predicted to change the nature of neurosurgical education, and to play an increased role in surgical rehearsal and the continuing education and credentialing of surgical practitioners. Copyright © 2011 Elsevier Inc. All rights reserved.

  6. Precise gouging-free tool orientations for 5-axis CNC machining

    KAUST Repository

    Kim, Yong-Joon

    2014-08-19

    We present a precise approach to the generation of optimized collision-free and gouging-free tool paths for 5-axis CNC machining of freeform NURBS surfaces using flat-end and rounded-end (bull nose) tools having cylindrical shank. To achieve high approximation quality, we employ analysis of hyper-osculating circles (HOCs) (Wang et al., 1993a,b), that have third order contact with the target surface, and lead to a locally collision-free configuration between the tool and the target surface. At locations where an HOC is not possible, we aim at a double tangential contact among the tool and the target surface, and use it as a bridge between the feasible HOC tool paths. We formulate all such possible two-contact configurations as systems of algebraic constraints and solve them. For all feasible HOCs and two-contact configurations, we perform a global optimization to find the tool path that maximizes the approximation quality of the machining, while being gouge-free and possibly satisfying constraints on the tool tilt and the tool acceleration. We demonstrate the effectiveness of our approach via several experimental results.

  7. A Thermo-Hydraulic Tool for Automatic Virtual Hazop Evaluation

    Directory of Open Access Journals (Sweden)

    Pugi L.

    2014-12-01

    Full Text Available Development of complex lubrication systems in the Oil&Gas industry has reached high levels of competitiveness in terms of requested performances and reliability. In particular, the use of HazOp (acronym of Hazard and Operability analysis represents a decisive factor to evaluate safety and reliability of plants. The HazOp analysis is a structured and systematic examination of a planned or existing operation in order to identify and evaluate problems that may represent risks to personnel or equipment. In particular, P&ID schemes (acronym of Piping and Instrument Diagram according to regulation in force ISO 14617 are used to evaluate the design of the plant in order to increase its safety and reliability in different operating conditions. The use of a simulation tool can drastically increase speed, efficiency and reliability of the design process. In this work, a tool, called TTH lib (acronym of Transient Thermal Hydraulic Library for the 1-D simulation of thermal hydraulic plants is presented. The proposed tool is applied to the analysis of safety relevant components of compressor and pumping units, such as lubrication circuits. Opposed to the known commercial products, TTH lib has been customized in order to ease simulation of complex interactions with digital logic components and plant controllers including their sensors and measurement systems. In particular, the proposed tool is optimized for fixed step execution and fast prototyping of Real Time code both for testing and production purposes. TTH lib can be used as a standard SimScape-Simulink library of components optimized and specifically designed in accordance with the P&ID definitions. Finally, an automatic code generation procedure has been developed, so TTH simulation models can be directly assembled from the P&ID schemes and technical documentation including detailed informations of sensor and measurement system.

  8. Appendix to rationally designing of machine tools for example of universal lathe

    Directory of Open Access Journals (Sweden)

    Pejović Branko B.

    2015-01-01

    Full Text Available In this paper, for the universal machine tool for turning and function of the thrust of the cutting speed for blasting area efficiency and stability of the tool and sectional filings. These dependencies were used to determine the main characteristics of the optimal and maximum operating power equipment. Based on this, an analysis of the increase in operating power equipment typical cases in order to adapt to the new needs of exploitation properties and improve productivity. Using the previous analysis, it was determined the best solution in terms of the rational design of machines, by ensuring the simultaneous use of the main features on the basis of increase in speed with the use of tools and higher stability. In order to better display problems, an analysis of the appropriate diagrams P-V and V-D. On a typical example of the manufacturing practice at the end of the work, we demonstrate improvement of exploitation characteristics of a universal machine through appropriate calculations in terms of new needs adjustment feature, where it is expected that the reconstruction of the smallest machines.

  9. Rotary ultrasonic elliptical machining for side milling of CFRP: tool performance and surface integrity.

    Science.gov (United States)

    Geng, Daxi; Zhang, Deyuan; Xu, Yonggang; He, Fengtao; Liu, Dapeng; Duan, Zuoheng

    2015-05-01

    The rotary ultrasonic elliptical machining (RUEM) has been recognized as a new effective process to machining circular holes on CFRP materials. In CFRP face machining, the application of grinding tools is restricted for the tool clogging and the machined surface integrity. In this paper, we proposed a novel approach to extend the RUEM process to side milling of CFRP for the first time, which kept the effect of elliptical vibration in RUEM. The experiment apparatus was developed, and the preliminary experiments were designed and conducted, with comparison to conventional grinding (CG). The experimental results showed that when the elliptical vibration was applied in RUEM, a superior cutting process can be obtained compared with that in CG, including providing reduced cutting forces (2-43% decrement), an extended tool life (1.98 times), and improved surface integrity due to the intermittent material removal mechanism and the excellent chip removal conditions achieved in RUEM. It was concluded that the RUEM process is suitable to mill flat surface on CFRP composites. Copyright © 2015 Elsevier B.V. All rights reserved.

  10. Virtual screening approach to identifying influenza virus neuraminidase inhibitors using molecular docking combined with machine-learning-based scoring function.

    Science.gov (United States)

    Zhang, Li; Ai, Hai-Xin; Li, Shi-Meng; Qi, Meng-Yuan; Zhao, Jian; Zhao, Qi; Liu, Hong-Sheng

    2017-10-10

    In recent years, an epidemic of the highly pathogenic avian influenza H7N9 virus has persisted in China, with a high mortality rate. To develop novel anti-influenza therapies, we have constructed a machine-learning-based scoring function (RF-NA-Score) for the effective virtual screening of lead compounds targeting the viral neuraminidase (NA) protein. RF-NA-Score is more accurate than RF-Score, with a root-mean-square error of 1.46, Pearson's correlation coefficient of 0.707, and Spearman's rank correlation coefficient of 0.707 in a 5-fold cross-validation study. The performance of RF-NA-Score in a docking-based virtual screening of NA inhibitors was evaluated with a dataset containing 281 NA inhibitors and 322 noninhibitors. Compared with other docking-rescoring virtual screening strategies, rescoring with RF-NA-Score significantly improved the efficiency of virtual screening, and a strategy that averaged the scores given by RF-NA-Score, based on the binding conformations predicted with AutoDock, AutoDock Vina, and LeDock, was shown to be the best strategy. This strategy was then applied to the virtual screening of NA inhibitors in the SPECS database. The 100 selected compounds were tested in an in vitro H7N9 NA inhibition assay, and two compounds with novel scaffolds showed moderate inhibitory activities. These results indicate that RF-NA-Score improves the efficiency of virtual screening for NA inhibitors, and can be used successfully to identify new NA inhibitor scaffolds. Scoring functions specific for other drug targets could also be established with the same method.

  11. Using Virtual Environments as Professional Development Tools for Pre-Service Teachers Seeking ESOL Endorsement

    Science.gov (United States)

    Blankenship, Rebecca J.

    2010-01-01

    The purpose of this study was to investigate the potential use of Second Life (Linden Labs, 2004) and Skype (Skype Limited, 2009) as simulated virtual professional development tools for pre-service teachers seeking endorsement in teaching English as a Second Official Language (ESOL). Second Life is an avatar-based Internet program that allows…

  12. Leadership Trust in Virtual Teams Using Communication Tools: A Quantitative Correlational Study

    Science.gov (United States)

    Clark, Robert Lynn

    2014-01-01

    The purpose of this quantitative correlational study was to address leadership trust in virtual teams using communication tools in a small south-central, family-owned pharmaceutical organization, with multiple dispersed locations located in the United States. The results of the current research study could assist leaders to develop a communication…

  13. Experience Before Construction: An Immersive Virtual Reality Design Tool for Architectural Practice

    OpenAIRE

    Freiberg, Jacob B

    2015-01-01

    In architectural design, understanding and communicating how a building will be experienced is an ongoing challenge. However, recent developments in Immersive Virtual Reality (IVR) technology are revealing a new design representation tool capable of providing realistic experiences of computer-generated spaces. Still, the question of how such design representation tools should be designed is a subject of ongoing debate. Here we first outline potential usage scenarios and system requirements ba...

  14. Extending the Body to Virtual Tools Using a Robotic Surgical Interface: Evidence from the Crossmodal Congruency Task

    Science.gov (United States)

    Sengül, Ali; van Elk, Michiel; Rognini, Giulio; Aspell, Jane Elizabeth; Bleuler, Hannes; Blanke, Olaf

    2012-01-01

    The effects of real-world tool use on body or space representations are relatively well established in cognitive neuroscience. Several studies have shown, for example, that active tool use results in a facilitated integration of multisensory information in peripersonal space, i.e. the space directly surrounding the body. However, it remains unknown to what extent similar mechanisms apply to the use of virtual-robotic tools, such as those used in the field of surgical robotics, in which a surgeon may use bimanual haptic interfaces to control a surgery robot at a remote location. This paper presents two experiments in which participants used a haptic handle, originally designed for a commercial surgery robot, to control a virtual tool. The integration of multisensory information related to the virtual-robotic tool was assessed by means of the crossmodal congruency task, in which subjects responded to tactile vibrations applied to their fingers while ignoring visual distractors superimposed on the tip of the virtual-robotic tool. Our results show that active virtual-robotic tool use changes the spatial modulation of the crossmodal congruency effects, comparable to changes in the representation of peripersonal space observed during real-world tool use. Moreover, when the virtual-robotic tools were held in a crossed position, the visual distractors interfered strongly with tactile stimuli that was connected with the hand via the tool, reflecting a remapping of peripersonal space. Such remapping was not only observed when the virtual-robotic tools were actively used (Experiment 1), but also when passively held the tools (Experiment 2). The present study extends earlier findings on the extension of peripersonal space from physical and pointing tools to virtual-robotic tools using techniques from haptics and virtual reality. We discuss our data with respect to learning and human factors in the field of surgical robotics and discuss the use of new technologies in the field

  15. Extending the body to virtual tools using a robotic surgical interface: evidence from the crossmodal congruency task.

    Science.gov (United States)

    Sengül, Ali; van Elk, Michiel; Rognini, Giulio; Aspell, Jane Elizabeth; Bleuler, Hannes; Blanke, Olaf

    2012-01-01

    The effects of real-world tool use on body or space representations are relatively well established in cognitive neuroscience. Several studies have shown, for example, that active tool use results in a facilitated integration of multisensory information in peripersonal space, i.e. the space directly surrounding the body. However, it remains unknown to what extent similar mechanisms apply to the use of virtual-robotic tools, such as those used in the field of surgical robotics, in which a surgeon may use bimanual haptic interfaces to control a surgery robot at a remote location. This paper presents two experiments in which participants used a haptic handle, originally designed for a commercial surgery robot, to control a virtual tool. The integration of multisensory information related to the virtual-robotic tool was assessed by means of the crossmodal congruency task, in which subjects responded to tactile vibrations applied to their fingers while ignoring visual distractors superimposed on the tip of the virtual-robotic tool. Our results show that active virtual-robotic tool use changes the spatial modulation of the crossmodal congruency effects, comparable to changes in the representation of peripersonal space observed during real-world tool use. Moreover, when the virtual-robotic tools were held in a crossed position, the visual distractors interfered strongly with tactile stimuli that was connected with the hand via the tool, reflecting a remapping of peripersonal space. Such remapping was not only observed when the virtual-robotic tools were actively used (Experiment 1), but also when passively held the tools (Experiment 2). The present study extends earlier findings on the extension of peripersonal space from physical and pointing tools to virtual-robotic tools using techniques from haptics and virtual reality. We discuss our data with respect to learning and human factors in the field of surgical robotics and discuss the use of new technologies in the field

  16. Integrated One-Against-One Classifiers as Tools for Virtual Screening of Compound Databases: A Case Study with CNS Inhibitors.

    Science.gov (United States)

    Jalali-Heravi, Mehdi; Mani-Varnosfaderani, Ahmad; Valadkhani, Abolfazl

    2013-08-01

    A total of 21 833 inhibitors of the central nervous system (CNS) were collected from Binding-database and analyzed using discriminant analysis (DA) techniques. A combination of genetic algorithm and quadratic discriminant analysis (GA-QDA) was proposed as a tool for the classification of molecules based on their therapeutic targets and activities. The results indicated that the one-against-one (OAO) QDA classifiers correctly separate the molecules based on their therapeutic targets and are comparable with support vector machines. These classifiers help in charting the chemical space of the CNS inhibitors and finding specific subspaces occupied by particular classes of molecules. As a next step, the classification models were used as virtual filters for screening of random subsets of PUBCHEM and ZINC databases. The calculated enrichment factors together with the area under curve values of receiver operating characteristic curves showed that these classifiers are good candidates to speed up the early stages of drug discovery projects. The "relative distances" of the center of active classes of biosimilar molecules calculated by OAO classifiers were used as indices for sorting the compound databases. The results revealed that, the multiclass classification models in this work circumvent the definition inactive sets for virtual screening and are useful for compound retrieval analysis in Chemoinformatics. Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  17. Usage of OpenStack Virtual Machine and MATLAB HPC Add-on leads to faster turnaround

    KAUST Repository

    Van Waveren, Matthijs

    2017-03-16

    We need to run hundreds of MATLAB® simulations while changing the parameters between each simulation. These simulations need to be run sequentially, and the parameters are defined manually from one simulation to the next. This makes this type of workload unsuitable for a shared cluster. For this reason we are using a cluster running in an OpenStack® Virtual Machine and are using the MATLAB HPC Add-on for submitting jobs to the cluster. As a result we are now able to have a turnaround time for the simulations of the order of a few hours, instead of the 24 hours needed on a local workstation.

  18. Am I my avatar? A tool to investigate virtual body image representation in adolescence.

    Science.gov (United States)

    Villani, Daniela; Gatti, Elena; Confalonieri, Emanuela; Riva, Giuseppe

    2012-08-01

    The assessment of body image in adolescence plays a key role in investigating self-esteem development and social adjustment. In particular, these days, adolescents use more and more online tools to communicate with other people, and virtual body image represents a critical aspect for understanding the avatar development. This study aims at investigating the virtual body representation by using the "Drawing Me" graphical test with a group of Italian adolescents. Specifically, we compared body image representation in real (drawings) and virtual (avatar) life by taking gender differences into consideration. Results show that virtual body representation is more characterized by the sexual features related to body, face, and clothes and by a major number of context elements than real body representation. Gender differences confirm that girls tend to represent themselves in greater detail than boys and their avatars are rich with sexual characters. To conclude, our study illustrates that the Drawing Me test is an effective tool that analyzes the virtual body representation in an unobtrusive way, and intervention implications are discussed.

  19. The use of strain gauge platform and virtual reality tool for patient stability examination

    Science.gov (United States)

    Walendziuk, Wojciech; Wysk, Lukasz; Skoczylas, Marcin

    2016-09-01

    Virtual reality is one of the fastest growing information technologies. This paper is only a prelude to a larger study on the use of virtual reality tools in analysing bony labyrinth and sense of balance. Problems with the functioning of these areas of the body are a controversial topic in debate among specialists. The result of still unresolved imbalance treatments is a constant number of people reporting this type of ailment. Considering above, authors created a system and application that contains a model of virtual environment, and a tool for the modification of the obstacles in 3D space. Preliminary studies of patients from a test group aged 22-49 years were also carried out, in which behaviour and sense of balance in relation to the horizontal curvature of the virtual world around patient has been analysed. Experiments carried out on a test group showed that the shape of the curve and the virtual world space and age of patient has a major impact on a sense of balance. The data obtained can be linked with actual disorders of bony labyrinth and human behaviour at the time of their occurrence. Another important achievement that will be the subject of further work is possible use a modified version of the software for rehabilitation purposes.

  20. Communication tools between Grid virtual organisations, middleware deployers and sites

    CERN Document Server

    Dimou, Maria

    2008-01-01

    Grid Deployment suffers today from the difficulty to reach users and site administrators when a package or a configuration parameter changes. Release notes, twiki pages and news’ broadcasts are not efficient enough. The interest of using GGUS as an efficient and effective intra-project communication tool is the message to the user community presented here. The purpose of GGUS is to bring together End Users and Supporters in the Regions where the Grid is deployed and in operation. Today’s Grid usage is still very far from the simplicity and functionality of the web. While pressing for middleware usability, we try to turn the Global Grid User Support (GGUS) into the central tool for identifying areas in the support environment that need attention. To do this, we exploit GGUS' capacity to expand, by including new Support Units that follow the project's operational structure. Using tailored GGUS database searches we obtain concrete results that prove where we need to improve procedures, Service Level Agreemen...

  1. Combining a Virtual Learning Tool and Onsite Study Visits of Four Conservation Sites in Europe

    Directory of Open Access Journals (Sweden)

    A. Chenaux

    2011-12-01

    Full Text Available The design and evaluation of virtual learning environments for construction and surveying students is presented in this paper; by combining virtual learning environment and on-site student surveys to model and replicate practice in the architectural heritage sector. The Virtual Learning Environment is enhanced with real live survey projects whereby students collect the data to build virtual historic buildings from onsite surveys using advanced survey equipment. The survey data is modelled in HBIM; Historic Building Information Modelling (HBIM is currently being developed as a virtual learning tool for construction and surveying students in the Dublin Institute of Technology.  HBIM, is a novel solution whereby interactive parametric objects representing architectural elements are constructed from historic data, these elements, including detail behind the scan surface are accurately mapped onto a laser or image based survey. The architectural elements are scripted using a Geometric Descriptive Language GDL. In the case of this project a Virtual Learning Environment is being developed which combines advanced recording and surveying with Building Information Modelling (BIM to simulate and analyse existing buildings.

  2. Design and Analysis of a Collision Detector for Hybrid Robotic Machine Tools

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    Dan ZHANG

    2015-10-01

    Full Text Available Capacitive sensing depends on the physical parameter changing either the spacing between the two plates or the dielectric constant. Based on this idea, a capacitive based collision detection sensor is proposed and designed in this paper for the purpose of detecting any collision between the end effector and peripheral equipment (e.g., fixture for the three degrees of freedom hybrid robotic machine tools when it is in operation. One side of the finger-like capacitor is attached to the moving platform of the hybrid robotic manipulator and the other side of the finger-like capacitor is attached to the tool. When the tool accidently hits the peripheral equipment, the vibration will make the distance of the capacitor change and therefore trigger the machine to stop. The new design is illustrated and modelled. The capacitance, sensitivity and frequency response of the detector are analyzed in detail, and finally, the fabrication process is presented. The proposed collision detector can also be applied to other machine tools.

  3. Minimizing the total tardiness for the tool change scheduling problem on parallel machines

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    Antonio Costa

    2016-04-01

    Full Text Available This paper deals with the total tardiness minimization problem in a parallel machines manufacturing environment where tool change operations have to be scheduled along with jobs. The mentioned issue belongs to the family of scheduling problems under deterministic machine availability restrictions. A new model that considers the effects of the tool wear on the quality characteristics of the worked product is proposed. Since no mathematical programming-based approach has been developed by literature so far, two distinct mixed integer linear programming models, able to schedule jobs as well as tool change activities along the provided production horizon, have been devised. The former is an adaptation of a well-known model presented by the relevant literature for the single machine scheduling problem with tool changes. The latter has been specifically developed for the issue at hand. After a theoretical analysis aimed at revealing the differences between the proposed mathematical models in terms of computational complexity, an extensive experimental campaign has been fulfilled to assess performances of the proposed methods under the CPU time viewpoint. Obtained results have been statistically analyzed through a properly arranged ANOVA analysis.

  4. Adaptive tool servo diamond turning for enhancing machining efficiency and surface quality of freeform optics.

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    Zhu, Zhiwei; To, Suet

    2015-08-10

    Fast tool servo/ slow tool servo (FTS/STS) diamond turning is a very promising technique for the generation of freeform optics. However, the currently adopted constant scheme for azimuth sampling and side-feeding motion possesses no adaptation to surface shape variation, leading to the non-uniform surface quality and low machining efficiency. To overcome this defect, this paper reports on a novel adaptive tool servo (ATS) diamond turning technique which is essentially based on the novel two-degree-of-freedom (2-DOF) FTS/STS. In the ATS, the sampling interval and the side-feeding motion are actively controlled at any cutting point to adapt the machining process to shape variation of the desired surface, making both the sampling induced interpolation error and the side-feeding induced residual tool mark be within the desired tolerances. Characteristic of the required cutting motion suggests that besides the conventional z-axis servo motion, another servo motion along the x-axis synthesizing by the c-axis is mandatory for implementing the ATS. Comparative studies of surface generation of typical micro-structured surfaces in FTS/STS and ATS are thoroughly conducted both theoretically and experimentally. The result demonstrates that the ATS outperforms the FTS/STS with improved surface quality while simultaneously enhanced machining efficiency.

  5. The virtual supermarket: an innovative research tool to study consumer food purchasing behaviour.

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    Waterlander, Wilma E; Scarpa, Michael; Lentz, Daisy; Steenhuis, Ingrid H M

    2011-07-25

    Economic interventions in the food environment are expected to effectively promote healthier food choices. However, before introducing them on a large scale, it is important to gain insight into the effectiveness of economic interventions and peoples' genuine reactions to price changes. Nonetheless, because of complex implementation issues, studies on price interventions are virtually non-existent. This is especially true for experiments undertaken in a retail setting. We have developed a research tool to study the effects of retail price interventions in a virtual-reality setting: the Virtual Supermarket. This paper aims to inform researchers about the features and utilization of this new software application. The Virtual Supermarket is a Dutch-developed three-dimensional software application in which study participants can shop in a manner comparable to a real supermarket. The tool can be used to study several food pricing and labelling strategies. The application base can be used to build future extensions and could be translated into, for example, an English-language version. The Virtual Supermarket contains a front-end which is seen by the participants, and a back-end that enables researchers to easily manipulate research conditions. The application keeps track of time spent shopping, number of products purchased, shopping budget, total expenditures and answers on configurable questionnaires. All data is digitally stored and automatically sent to a web server. A pilot study among Dutch consumers (n = 66) revealed that the application accurately collected and stored all data. Results from participant feedback revealed that 83% of the respondents considered the Virtual Supermarket easy to understand and 79% found that their virtual grocery purchases resembled their regular groceries. The Virtual Supermarket is an innovative research tool with a great potential to assist in gaining insight into food purchasing behaviour. The application can be obtained via an URL

  6. The virtual supermarket: An innovative research tool to study consumer food purchasing behaviour

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    Steenhuis Ingrid HM

    2011-07-01

    Full Text Available Abstract Background Economic interventions in the food environment are expected to effectively promote healthier food choices. However, before introducing them on a large scale, it is important to gain insight into the effectiveness of economic interventions and peoples' genuine reactions to price changes. Nonetheless, because of complex implementation issues, studies on price interventions are virtually non-existent. This is especially true for experiments undertaken in a retail setting. We have developed a research tool to study the effects of retail price interventions in a virtual-reality setting: the Virtual Supermarket. This paper aims to inform researchers about the features and utilization of this new software application. Results The Virtual Supermarket is a Dutch-developed three-dimensional software application in which study participants can shop in a manner comparable to a real supermarket. The tool can be used to study several food pricing and labelling strategies. The application base can be used to build future extensions and could be translated into, for example, an English-language version. The Virtual Supermarket contains a front-end which is seen by the participants, and a back-end that enables researchers to easily manipulate research conditions. The application keeps track of time spent shopping, number of products purchased, shopping budget, total expenditures and answers on configurable questionnaires. All data is digitally stored and automatically sent to a web server. A pilot study among Dutch consumers (n = 66 revealed that the application accurately collected and stored all data. Results from participant feedback revealed that 83% of the respondents considered the Virtual Supermarket easy to understand and 79% found that their virtual grocery purchases resembled their regular groceries. Conclusions The Virtual Supermarket is an innovative research tool with a great potential to assist in gaining insight into food

  7. ICT Collaboration Tools for Virtual Teams in Terms of the SECI Model

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    Monika Davidekova

    2017-02-01

    Full Text Available Nowadays, the current state of development of information and communication technology (ICT connects individuals across time and space in one common environment, that is accessible for anyone, the virtual world. To collaborate with somebody or to participate in a team activity does not require a physical presence anymore. Virtual settings allow real-time communication and cooperation across any distance at any time with negligible delay. ICT allows formation of virtual teams where those accomplish various functions in work, education and private life. Compared to local teams of physically present individuals, the collaboration in virtual environments is more intensively influenced by significantly impacting factors and requires intensive motivation of the team members, extensive support by their team leader and appropriate technology. Among all the available ICT tools, not each ICT tool is equally suitable for each and every team activity. This paper aims to provide analysis of various ICT tools, to disclose their potential to contribute to team’s quality communication and to reduce drawbacks caused by impersonal environment. Our aim is to optimize the composition of the ICT supporting infrastructure in order to form successful and effective collaboration.

  8. Virtual reality as a multidisciplinary convergence tool in the product design process

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    Gaël Guerlesquin

    2012-02-01

    Full Text Available Nowadays firms have to use concurrent design to meet customers’ expectations. A plural approach to the design process is essential. Unfortunately, the design activity involves experts specialized in various aspects of the product such as aesthetics, ergonomics and mechanics. Thus the collaboration between these experts is particularly difficult in the convergence steps and often results in complex adjustments. This paper details a proposition of design methodology based on a multidisciplinary approach, using virtual reality tools. Our goal is to facilitate the integration of ergonomics and aesthetics in a mechanical design process. In this context, we consider virtual reality as an intermediary design tool useful for collaborative decision support during convergence phases. We present our methodology and associated tools tested during an industrial project, by focusing on an aesthetics-mechanics convergence step.

  9. Modeling and simulation of the fluid flow in wire electrochemical machining with rotating tool (wire ECM)

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    Klocke, F.; Herrig, T.; Zeis, M.; Klink, A.

    2017-10-01

    Combining the working principle of electrochemical machining (ECM) with a universal rotating tool, like a wire, could manage lots of challenges of the classical ECM sinking process. Such a wire-ECM process could be able to machine flexible and efficient 2.5-dimensional geometries like fir tree slots in turbine discs. Nowadays, established manufacturing technologies for slotting turbine discs are broaching and wire electrical discharge machining (wire EDM). Nevertheless, high requirements on surface integrity of turbine parts need cost intensive process development and - in case of wire-EDM - trim cuts to reduce the heat affected rim zone. Due to the process specific advantages, ECM is an attractive alternative manufacturing technology and is getting more and more relevant for sinking applications within the last few years. But ECM is also opposed with high costs for process development and complex electrolyte flow devices. In the past, few studies dealt with the development of a wire ECM process to meet these challenges. However, previous concepts of wire ECM were only suitable for micro machining applications. Due to insufficient flushing concepts the application of the process for machining macro geometries failed. Therefore, this paper presents the modeling and simulation of a new flushing approach for process assessment. The suitability of a rotating structured wire electrode in combination with an axial flushing for electrodes with high aspect ratios is investigated and discussed.

  10. An Analysis Methodology for Stochastic Characteristic of Volumetric Error in Multiaxis CNC Machine Tool

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    Qiang Cheng

    2013-01-01

    Full Text Available Traditional approaches about error modeling and analysis of machine tool few consider the probability characteristics of the geometric error and volumetric error systematically. However, the individual geometric error measured at different points is variational and stochastic, and therefore the resultant volumetric error is aslo stochastic and uncertain. In order to address the stochastic characteristic of the volumetric error for multiaxis machine tool, a new probability analysis mathematical model of volumetric error is proposed in this paper. According to multibody system theory, a mean value analysis model for volumetric error is established with consideration of geometric errors. The probability characteristics of geometric errors are obtained by statistical analysis to the measured sample data. Based on probability statistics and stochastic process theory, the variance analysis model of volumetric error is established in matrix, which can avoid the complex mathematics operations during the direct differential. A four-axis horizontal machining center is selected as an illustration example. The analysis results can reveal the stochastic characteristic of volumetric error and are also helpful to make full use of the best workspace to reduce the random uncertainty of the volumetric error and improve the machining accuracy.

  11. PredicT-ML: a tool for automating machine learning model building with big clinical data.

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    Luo, Gang

    2016-01-01

    Predictive modeling is fundamental to transforming large clinical data sets, or "big clinical data," into actionable knowledge for various healthcare applications. Machine learning is a major predictive modeling approach, but two barriers make its use in healthcare challenging. First, a machine learning tool user must choose an algorithm and assign one or more model parameters called hyper-parameters before model training. The algorithm and hyper-parameter values used typically impact model accuracy by over 40 %, but their selection requires many labor-intensive manual iterations that can be difficult even for computer scientists. Second, many clinical attributes are repeatedly recorded over time, requiring temporal aggregation before predictive modeling can be performed. Many labor-intensive manual iterations are required to identify a good pair of aggregation period and operator for each clinical attribute. Both barriers result in time and human resource bottlenecks, and preclude healthcare administrators and researchers from asking a series of what-if questions when probing opportunities to use predictive models to improve outcomes and reduce costs. This paper describes our design of and vision for PredicT-ML (prediction tool using machine learning), a software system that aims to overcome these barriers and automate machine learning model building with big clinical data. The paper presents the detailed design of PredicT-ML. PredicT-ML will open the use of big clinical data to thousands of healthcare administrators and researchers and increase the ability to advance clinical research and improve healthcare.

  12. Repurposing mainstream CNC machine tools for laser-based additive manufacturing

    Science.gov (United States)

    Jones, Jason B.

    2016-04-01

    The advent of laser technology has been a key enabler for industrial 3D printing, known as Additive Manufacturing (AM). Despite its commercial success and unique technical capabilities, laser-based AM systems are not yet able to produce parts with the same accuracy and surface finish as CNC machining. To enable the geometry and material freedoms afforded by AM, yet achieve the precision and productivity of CNC machining, hybrid combinations of these two processes have started to gain traction. To achieve the benefits of combined processing, laser technology has been integrated into mainstream CNC machines - effectively repurposing them as hybrid manufacturing platforms. This paper reviews how this engineering challenge has prompted beam delivery innovations to allow automated changeover between laser processing and machining, using standard CNC tool changers. Handling laser-processing heads using the tool changer also enables automated change over between different types of laser processing heads, further expanding the breadth of laser processing flexibility in a hybrid CNC. This paper highlights the development, challenges and future impact of hybrid CNCs on laser processing.

  13. Enabling and Optimizing Pilot Jobs using Xen based Virtual Machines for the HPC Grid Applications

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    Khalid, Omer; Nilsson, Paul; Keahey, Kate; Schulz, Markus; Petridis, Miltos; Parrott, Kevin

    2009-01-01

    The primary motivation for uptake of virtualization have been resource isolation, capacity management and resource customization: isolation and capacity management allow providers to isolate users from the site and control their resources usage while customization allows end-users to easily project the required environment onto a variety of sites. Various approaches have been taken to integrate virtualization with Grid technologies. In this paper, we propose an approach that combines virtualization on the existing software infrastructure such as Pilot Jobs with minimum change on the part of resource providers.

  14. Reverse engineering of machine-tool settings with modified roll for spiral bevel pinions

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    Liu, Guanglei; Chang, Kai; Liu, Zeliang

    2013-05-01

    Although a great deal of research has been dedicated to the synthesis of spiral bevel gears, little related to reverse engineering can be found. An approach is proposed to reverse the machine-tool settings of the pinion of a spiral bevel gear drive on the basis of the blank and tooth surface data obtained by a coordinate measuring machine(CMM). Real tooth contact analysis(RTCA) is performed to preliminary ascertain the contact pattern, the motion curve, as well as the position of the mean contact point. And then the tangent to the contact path and the motion curve are interpolated in the sense of the least square method to extract the initial values of the bias angle and the higher order coefficients(HOC) in modified roll motion. A trial tooth surface is generated by machine-tool settings derived from the local synthesis relating to the initial meshing performances and modified roll motion. An optimization objective is formed which equals the tooth surface deviation between the real tooth surface and the trial tooth surface. The design variables are the parameters describing the meshing performances at the mean contact point in addition to the HOC. When the objective is optimized within an arbitrarily given convergence tolerance, the machine-tool settings together with the HOC are obtained. The proposed approach is verified by a spiral bevel pinion used in the accessory gear box of an aviation engine. The trial tooth surfaces approach to the real tooth surface on the whole in the example. The results show that the convergent tooth surface deviation for the concave side on the average is less than 0.5 μm, and is less than 1.3 μm for the convex side. The biggest tooth surface deviation is 6.7 μm which is located at the corner of the grid on the convex side. Those nodes with relative bigger tooth surface deviations are all located at the boundary of the grid. An approach is proposed to figure out the machine-tool settings of a spiral bevel pinion by way of reverse

  15. Usability of a virtual reality environment simulating an automated teller machine for assessing and training persons with acquired brain injury

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    Li Teresa HY

    2010-04-01

    Full Text Available Abstract Objective This study aimed to examine the usability of a newly designed virtual reality (VR environment simulating the operation of an automated teller machine (ATM for assessment and training. Design Part I involved evaluation of the sensitivity and specificity of a non-immersive VR program simulating an ATM (VR-ATM. Part II consisted of a clinical trial providing baseline and post-intervention outcome assessments. Setting A rehabilitation hospital and university-based teaching facilities were used as the setting. Participants A total of 24 persons in the community with acquired brain injury (ABI - 14 in Part I and 10 in Part II - made up the participants in the study. Interventions In Part I, participants were randomized to receive instruction in either an "early" or a "late" VR-ATM program and were assessed using both the VR program and a real ATM. In Part II, participants were assigned in matched pairs to either VR training or computer-assisted instruction (CAI teaching programs for six 1-hour sessions over a three-week period. Outcome Measures Two behavioral checklists based on activity analysis of cash withdrawals and money transfers using a real ATM were used to measure average reaction time, percentage of incorrect responses, level of cues required, and time spent as generated by the VR system; also used was the Neurobehavioral Cognitive Status Examination. Results The sensitivity of the VR-ATM was 100% for cash withdrawals and 83.3% for money transfers, and the specificity was 83% and 75%, respectively. For cash withdrawals, the average reaction time of the VR group was significantly shorter than that of the CAI group (p = 0.021. We found no significant differences in average reaction time or accuracy between groups for money transfers, although we did note positive improvement for the VR-ATM group. Conclusion We found the VR-ATM to be usable as a valid assessment and training tool for relearning the use of ATMs prior to real

  16. Analysis of the Thermal Characteristics of Machine Tool Feed System Based on Finite Element Method

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    Mao, Xiaobo; Mao, Kuanmin; Du, Yikang; Wang, Fengyun; Yan, Bo

    2017-09-01

    The loading of mobile heat source and boundary conditions setting are difficult problems in the analysis of thermal characteristics of machine tools. Taking the machine tool feed system as an example, a novel method for loading of mobile heat source was proposed by establishing a function which was constructed by the heat source and time. The convective heat transfer coefficient is the key parameter of boundary conditions, and it varies with the temperature. In this paper, a model of “variable convection heat transfer coefficient” was proposed, and the setting of boundary conditions of thermal analysis was closer to the real situation. Finally, comparing results of above method and experimental data, the accuracy and validity of this method was proved, meanwhile, the simulation calculation and simulation time was reducing greatly.

  17. ASSESSMENT OF INFLUENCE OF CUTTING TOOL BREAKAGE ON DRIVE LIFE TIME OF CUTTING UNIT OF HEADING MACHINE

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    О.Е. SHABAEV

    2014-01-01

    Full Text Available In this work a necessity to develop means of technical diagnostics of cutter's performance without stopping heading machine was grounded. There was theoretically demonstrated the possibility of essential decrease in life time of transmission elements of cutting unit during prolonged work of heading machine with broken cutting tool. It was defined that influence of cutting tool breakage on life time of transmission elements depends on cutting tool position on cutting head according to the assembly drawing.

  18. STUDY OF THE VIBRATION LEVEL IN CASE OF MANUFACTURING ON A CNC MACHINE-TOOL

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    Ioan Călin ROȘCA

    2015-12-01

    Full Text Available The paper presents the results of an experimental research performed on a CNC machine tool type ISEL-GFV considering the vibration level developed during the manufacturing of different pieces of particleboard at six processing regimes. There were recorded signals on both time and frequency domains on the three main directions. Based on recorded data there are presented the main conclusions referring to the level of vibrations and the frequencies associated to the highest levels.

  19. Transcranial Doppler: a non-invasive tool for monitoring brain activity in virtual reality therapy.

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    Rey, Beatriz; Parkhutik, Vera; Alcañiz, Mario; Tembl, Jose; Naranjo, Valery

    2009-01-01

    In this work, we propose the use of Transcranial Doppler Monitoring (TCD) as a tool to measure brain activity during the exposure to Virtual Environments (VE) used in clinical therapy sessions. The technique is non-invasive, and can be easily integrated with Virtual Reality (VR) settings. Moreover, it provides a high temporal resolution, which grants the possibility to analyze changes in brain activity during the evolution of a clinical session and to correlate them with specific events that may occur in the VE. We have performed two studies combining TCD with VR. Results of these studies show that it is feasible to use this technique in combination with VR settings designed for virtual therapy. It was observed that immersion and navigation modifications in the VE generated changes in brain activity that can be detected using TCD.

  20. Influence of Cooling Lubricants on the Surface Roughness and Energy Efficiency of the Cutting Machine Tools

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    Jersák J.

    2017-08-01

    Full Text Available The Technical University of Liberec and Brandenburg University of Technology Cottbus-Senftenberg investigated the influence of cooling lubricants on the surface roughness and energy efficiency of cutting machine tools. After summarizing the achieved experimental results, the authors conclude that cooling lubricants extensively influence the cutting temperature, cutting forces and energy consumption. Also, it is recognizable that cooling lubricants affect the cutting tools lifetime and the workpiece surface quality as well. Furthermore, costs of these cooling lubricants and the related environmental burden need to be considered. A current trend is to reduce the amount of lubricants that are used, e.g., when the Minimum Quantity Lubrication (MQL technique is applied. The lubricant or process liquid is thereby transported by the compressed air in the form of an aerosol to the contact area between the tool and workpiece. The cutting process was monitored during testing by the three following techniques: lubricant-free cutting, cutting with the use of a lubricant with the MQL technique, and only utilizing finish-turning and finish-face milling. The research allowed the authors to monitor the cutting power and mark the achieved surface quality in relation to the electrical power consumption of the cutting machine. In conclusions, the coherence between energy efficiency of the cutting machine and the workpiece surface quality regarding the used cooling lubricant is described.

  1. An integrated multidisciplinary design optimization method for computer numerical control machine tool development

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    Zaifang Zhang

    2015-02-01

    Full Text Available Computer numerical control machine tool is a typical complex product related with multidisciplinary fields, complex structure, and high-performance requirements. It is difficult to identify the overall optimal solution of the machine tool structure for their multiple objectives. A new integrated multidisciplinary design optimization method is then proposed by using a Latin hypercube sampling, a Kriging approximate model, and a multi-objective genetic algorithm. Design space and parametric model are built by choosing appropriate design variables and their value ranges. Samples in design space are generated by optimal Latin hypercube method, and design variable contributions for design performance are discussed for aiding the designer’s judgments. The Kriging model is built by using polynomial approximation according to the response outputs of these samples. The multidisciplinary design model is established based on three optimization objectives, that is, setting mass, optimum deformation, and first-order natural frequency, and two constraints, that is, second-order natural frequency and third-order natural frequency. The optimal solution is identified by using a multi-objective genetic algorithm. The proposed method is applied in a multidisciplinary optimization case study for a typical computer numerical control machine tool. In the optimal solution, the mass decreases by 3.35% and the first-order natural frequency increases by 4.34% in contrast to the original solution.

  2. Development of Dual-Axis MEMS Accelerometers for Machine Tools Vibration Monitoring

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    Chih-Yung Huang

    2016-07-01

    Full Text Available With the development of intelligent machine tools, monitoring the vibration by the accelerometer is an important issue. Accelerometers used for measuring vibration signals during milling processes require the characteristics of high sensitivity, high resolution, and high bandwidth. A commonly used accelerometer is the lead zirconate titanate (PZT type; however, integrating it into intelligent modules is excessively expensive and difficult. Therefore, the micro electro mechanical systems (MEMS accelerometer is an alternative with the advantages of lower price and superior integration. In the present study, we integrated two MEMS accelerometer chips into a low-pass filter and housing to develop a low-cost dual-axis accelerometer with a bandwidth of 5 kHz and a full scale range of ±50 g for measuring machine tool vibration. In addition, a platform for measuring the linearity, cross-axis sensitivity and frequency response of the MEMS accelerometer by using the back-to-back calibration method was also developed. Finally, cutting experiments with steady and chatter cutting were performed to verify the results of comparing the MEMS accelerometer with the PZT accelerometer in the time and frequency domains. The results demonstrated that the dual-axis MEMS accelerometer is suitable for monitoring the vibration of machine tools at low cost.

  3. Influence of export control policy on the competitiveness of machine tool producing organizations

    Science.gov (United States)

    Ahrstrom, Jeffrey D.

    The possible influence of export control policies on producers of export controlled machine tools is examined in this quantitative study. International market competitiveness theories hold that market controlling policies such as export control regulations may influence an organization's ability to compete (Burris, 2010). Differences in domestic application of export control policy on machine tool exports may impose throttling effects on the competitiveness of participating firms (Freedenberg, 2010). Commodity shipments from Japan, Germany, and the United States to the Russian market will be examined using descriptive statistics; gravity modeling of these specific markets provides a foundation for comparison to actual shipment data; and industry participant responses to a user developed survey will provide additional data for analysis using a Kruskal-Wallis one-way analysis of variance. There is scarce academic research data on the topic of export control effects within the machine tool industry. Research results may be of interest to industry leadership in market participation decisions, advocacy arguments, and strategic planning. Industry advocates and export policy decision makers could find data of interest in supporting positions for or against modifications of export control policies.

  4. Investigation of the machining process of spheroidal cast iron using cubic boron nitride (CBN tools

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    W. Grzesik

    2014-01-01

    Full Text Available This paper presents the experimental results of the turning of spheroidal iron (EN-GJS-500-7 grade using L-CBN tools. The cutting process can be classified as a High Performance Cutting (HPC due to a relatively high material removal rate of about 190 cm3/min. The investigations performed include fundamental process quantities and machined surface characteristics, i.e. componential cutting forces, specific cutting energy, average and maximum values of cutting temperature as well as temperature distribution in the cutting zone, tool wear progress visualized by appropriate wear curves and 2D/3D surface roughness parameters.

  5. The Influence of Tool Geometry towards Cutting Performance in Machining Aluminium 7075

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    Muhammad Syafik Jumali

    2017-01-01

    Full Text Available Aerospace industries often use Computer Numerical Control (CNC machining in manufacturing aerospace parts. Aluminium 7075 is the most common material used as aircraft components. This research aims to produce end mill with optimum geometry in terms of the helix angle, primary radial relief angle and secondary relief angle. End mills with different geometry parameters are tested on Aluminium 7075 and data on surface roughness and tool wear were collected. The results were then analysed to determine which parameters brought the optimum result with regards to surface roughness and tool wear.

  6. A Discussion of Virtual Reality As a New Tool for Training Healthcare Professionals

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    Caroline Fertleman

    2018-02-01

    Full Text Available BackgroundVirtual reality technology is an exciting and emerging field with vast applications. Our study sets out the viewpoint that virtual reality software could be a new focus of direction in the development of training tools in medical education. We carried out a panel discussion at the Center for Behavior Change 3rd Annual Conference, prompted by the study, “The Responses of Medical General Practitioners to Unreasonable Patient Demand for Antibiotics––A Study of Medical Ethics Using Immersive Virtual Reality” (1.MethodsIn Pan et al.’s study, 21 general practitioners (GPs and GP trainees took part in a videoed, 15-min virtual reality scenario involving unnecessary patient demands for antibiotics. This paper was discussed in-depth at the Center for Behavior Change 3rd Annual Conference; the content of this paper is a culmination of findings and feedback from the panel discussion. The experts involved have backgrounds in virtual reality, general practice, medicines management, medical education and training, ethics, and philosophy.ViewpointVirtual reality is an unexplored methodology to instigate positive behavioral change among clinicians where other methods have been unsuccessful, such as antimicrobial stewardship. There are several arguments in favor of use of virtual reality in medical education: it can be used for “difficult to simulate” scenarios and to standardize a scenario, for example, for use in exams. However, there are limitations to its usefulness because of the cost implications and the lack of evidence that it results in demonstrable behavior change.

  7. Virtual reality environment for simulating tasks with a myoelectric prosthesis: an assessment and training tool.

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    Lambrecht, Joris M; Pulliam, Christopher L; Kirsch, Robert F

    2011-04-01

    Intuitively and efficiently controlling multiple degrees of freedom is a major hurdle in the field of upper limb prosthetics. A virtual reality myoelectric transhumeral prosthesis simulator has been developed for cost-effectively testing novel control algorithms and devices. The system acquires EMG commands and residual limb kinematics, simulates the prosthesis dynamics, and displays the combined residual limb and prosthesis movements in a virtual reality environment that includes force-based interactions with virtual objects. A virtual Box and Block Test is demonstrated. Three normally-limbed subjects performed the simulated test using a sequential and a synchronous control method. With the sequential method, subjects moved on average 6.7±1.9 blocks in 120 seconds, similar to the number of blocks transhumeral amputees are able to move with their physical prostheses during clinical evaluation. With the synchronous method, subjects moved 6.7±2.2 blocks. The virtual reality prosthesis simulator is thus a promising tool for developing and evaluating control methods, prototyping novel prostheses, and training amputees.

  8. THE ROLE OF SALES AGENTS iN THE DIFFUSION OF U.S. MACHINE TOOL TECHNOLOGY IN EUROPE

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    Roberto Mazzoleni

    2002-01-01

    Full Text Available Local firms operating as sales agents played an important strategic role in developing the European export trade of U.S. machine tool firms. Empirical evidence indicates that a few sales agents achieved a dominant position in the European distribution network. Success in promoting the diffusion of U.S. machine tools rested upon the agents’ knowledge of U.S. manufacturing principles and equipment, often acquired through prior production experience, and their investment in facilities and skills instrumental to the developmentof local markets. For a few of these firms, the competencies acquired in their role of sales agents supported a later entry into machine tool building.

  9. Virtual Reality Simulation as a Tool to Monitor Surgical Performance Indicators: VIRESI Observational Study.

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    Muralha, Nuno; Oliveira, Manuel; Ferreira, Maria Amélia; Costa-Maia, José

    2017-05-31

    Virtual reality simulation is a topic of discussion as a complementary tool to traditional laparoscopic surgical training in the operating room. However, it is unclear whether virtual reality training can have an impact on the surgical performance of advanced laparoscopic procedures. Our objective was to assess the ability of the virtual reality simulator LAP Mentor to identify and quantify changes in surgical performance indicators, after LAP Mentor training for digestive anastomosis. Twelve surgeons from Centro Hospitalar de São João in Porto (Portugal) performed two sessions of advanced task 5: anastomosis in LAP Mentor, before and after completing the tutorial, and were evaluated on 34 surgical performance indicators. The results show that six surgical performance indicators significantly changed after LAP Mentor training. The surgeons performed the task significantly faster as the median 'total time' significantly reduced (p field' (20.9 to 2.4 seconds), and 'total time the needle-holders' ends are kept outside the predefined operative field' (88.2 to 49.6 seconds). This study raises the possibility of using virtual reality training simulation as a benchmark tool to assess the surgical performance of Portuguese surgeons. LAP Mentor is able to identify variations in surgical performance indicators of digestive anastomosis.

  10. Development and Validation of a Virtual Examination Tool for Firearm Forensics,.

    Science.gov (United States)

    Duez, Pierre; Weller, Todd; Brubaker, Marcus; Hockensmith, Richard E; Lilien, Ryan

    2017-10-16

    The transition from 2D imaging to 3D scanning in the discipline of firearms and toolmark analysis is likely to provide examiners an unprecedented view of microscopic surface topography. The digital examination of measured 3D surface topographies has been referred to as virtual microscopy (VM). The approach offers several potential advantages over traditional comparison microscopy. Like any new analytic method, VM must be validated prior to its use in a crime laboratory. This paper describes one of the first validation studies of virtual microscopy. Fifty-six participants at fifteen laboratories used virtual microscopic tools to complete two proficiency-style tests for cartridge case identification. All participating trained examiners correctly reported 100% of the identifications (known matches) while reporting no false positives. The VM tools also allowed examiners to annotate compared surfaces. These annotations provide insight into the types of marked utilized in comparative analysis. Overall, the results of the study demonstrate that trained examiners can successfully use virtual microscopy to conduct firearms toolmark examination and support the use of the technology in the crime laboratory. © 2017 American Academy of Forensic Sciences.

  11. Virtualization for cost-effective teaching of assembly language programming

    OpenAIRE

    Cadenas, Jose O.; Sherratt, Simon; Howlett, Des; Guy, Chris; Lundqvist, Karsten

    2015-01-01

    A virtual system that emulates an ARM-based processor machine has been created to replace a traditional hardware-based system for teaching assembly language. The proposed virtual system integrates, in a single environment, all the development tools necessary to deliver introductory or advanced courses on modern assembly language programming. The virtual system runs a Linux operating system in either a graphical or console mode on a Windows or Linux host machine. No software licenses or extra ...

  12. Analysis and control on changeable wheel tool system of hybrid grinding and polishing machine tool for blade finishing

    Science.gov (United States)

    He, Qiuwei; Lv, Xingming; Wang, Xin; Qu, Xingtian; Zhao, Ji

    2017-01-01

    Blade is the key component in the energy power equipment of turbine, aircraft engines and so on. Researches on the process and equipment for blade finishing become one of important and difficult point. To control precisely tool system of developed hybrid grinding and polishing machine tool for blade finishing, the tool system with changeable wheel for belt polishing is analyzed in this paper. Firstly, the belt length and wrap angle of each wheel in different position of tension wheel swing angle in the process of changing wheel is analyzed. The reasonable belt length is calculated by using MATLAB, and relationships between wrap angle of each wheel and cylinder expansion amount of contact wheel are obtained. Then, the control system for changeable wheel tool structure is developed. Lastly, the surface roughness of blade finishing is verified by experiments. Theoretical analysis and experimental results show that reasonable belt length and wheel wrap angle can be obtained by proposed analysis method, the changeable wheel tool system can be controlled precisely, and the surface roughness of blade after grinding meets the design requirements.

  13. Development of New Measurement System of Errors in the Multiaxial Machine Tool for an Active Compensation

    Directory of Open Access Journals (Sweden)

    Noureddine Barka

    2016-01-01

    Full Text Available Error compensation techniques have been widely applied to improve multiaxis machine accuracy. However, due to the lack of reliable instrumentation for direct and overall measurements, all the compensation methods are based on offline measurements of each error component separately. The results of these measurements are static in nature and can only reflect the conditions at the moment of measurement. These results are not representative under real working conditions because of disturbances from load deformations, thermal distortions, and dynamic perturbations. This present approach involves the development of a new measurement system capable of dynamically evaluating the errors according to the six degrees of freedom. The developed system allows the generation of useful data that cover all machine states regardless of the operating conditions. The obtained measurements can be used to evaluate the performance of the machine, calibration, and real time compensation of errors. This system is able to perform dynamic measurements reflecting the global accuracy of the machine tool without a long and expensive analysis of various error sources contribution. Finally, the system exhibits compatible metrological characteristics with high precision applications.

  14. Improving Balance in TBI Using a Low Cost Customized Virtual Reality Rehabilitation Tool

    Science.gov (United States)

    2015-10-01

    The proposed study will implement and evaluate a novel, low-cost, Virtual Reality ( VR ) rehabilitation tool (Mystic Isle; MI) targeting somatosensory... vestibular , and vision systems through a double-blind RCT. Given the importance of dual-task skills for real-world functioning, we will also...evaluate the relative effectiveness of dual task (balance and cognitive) VR training to improve balance. A total of 180 participants (Service Members

  15. Study of Cutting Edge Temperature and Cutting Force of End Mill Tool in High Speed Machining

    Directory of Open Access Journals (Sweden)

    Kiprawi Mohammad Ashaari

    2017-01-01

    Full Text Available A wear of cutting tools during machining process is unavoidable due to the presence of frictional forces during removing process of unwanted material of workpiece. It is unavoidable but can be controlled at slower rate if the cutting speed is fixed at certain point in order to achieve optimum cutting conditions. The wear of cutting tools is closely related with the thermal deformations that occurred between the frictional contact point of cutting edge of cutting tool and workpiece. This research paper is focused on determinations of relationship among cutting temperature, cutting speed, cutting forces and radial depth of cutting parameters. The cutting temperature is determined by using the Indium Arsenide (InAs and Indium Antimonide (InSb photocells to measure infrared radiation that are emitted from cutting tools and cutting forces is determined by using dynamometer. The high speed machining process is done by end milling the outer surface of carbon steel. The signal from the photocell is digitally visualized in the digital oscilloscope. Based on the results, the cutting temperature increased as the radial depth and cutting speed increased. The cutting forces increased when radial depth increased but decreased when cutting speed is increased. The setup for calibration and discussion of the experiment will be explained in this paper.

  16. Tools for Consumer Rights Protection in the Prediction of Electronic Virtual Market and Technological Changes

    Directory of Open Access Journals (Sweden)

    Mikuláš Gangur

    2014-05-01

    Full Text Available Electronic virtual markets can serve as an alternative tool for collecting information that is spread among numerous experts. This is the principal market functionality from the operators’ point of view. On the other hand it is profits that are the main interest of the market participants. What they expect from the market is liquidity as high as possible and the opportunity for unrestricted trading. Both the operator and the electronic market participant can be considered consumers of this particular market with reference to the requirements for the accuracy of its outputs but also for the market liquidity. Both the above mentioned groups of consumers (the operators and the participants themselves expect protection of their specific consumer rights, i.e. securing the two above mentioned functionalities of the market. These functionalities of the electronic market are, however, influenced by many factors, among others by participants’ activity. The article deals with the motivation tools that may improve the quality of the prediction market. In the prediction electronic virtual market there may be situations in which the commonly used tools for increasing business activities described in the published literature are not significantly effective. For such situations we suggest a new type of motivation incentive consisting in penalizing the individual market participants whose funds are not placed in the market. The functionality of the proposed motivation incentive is presented on the example of the existing data gained from the electronic virtual prediction market which is actively operated.

  17. A tool for urban soundscape evaluation applying Support Vector Machines for developing a soundscape classification model.

    Science.gov (United States)

    Torija, Antonio J; Ruiz, Diego P; Ramos-Ridao, Angel F

    2014-06-01

    To ensure appropriate soundscape management in urban environments, the urban-planning authorities need a range of tools that enable such a task to be performed. An essential step during the management of urban areas from a sound standpoint should be the evaluation of the soundscape in such an area. In this sense, it has been widely acknowledged that a subjective and acoustical categorization of a soundscape is the first step to evaluate it, providing a basis for designing or adapting it to match people's expectations as well. In this sense, this work proposes a model for automatic classification of urban soundscapes. This model is intended for the automatic classification of urban soundscapes based on underlying acoustical and perceptual criteria. Thus, this classification model is proposed to be used as a tool for a comprehensive urban soundscape evaluation. Because of the great complexity associated with the problem, two machine learning techniques, Support Vector Machines (SVM) and Support Vector Machines trained with Sequential Minimal Optimization (SMO), are implemented in developing model classification. The results indicate that the SMO model outperforms the SVM model in the specific task of soundscape classification. With the implementation of the SMO algorithm, the classification model achieves an outstanding performance (91.3% of instances correctly classified). © 2013 Elsevier B.V. All rights reserved.

  18. The Use of Response Surface Methodology to Optimize Parameter Adjustments in CNC Machine Tools

    Directory of Open Access Journals (Sweden)

    Shao-Hsien Chen

    2014-01-01

    Full Text Available This paper mainly covers a research intended to improve the circular accuracy of CNC machine tools and the adjustment and analysis of the main controller parameters applied to improve accuracy. In this study, controller analysis software was used to detect the adjustment status of the servo parameters of the feed axis. According to the FANUC parameter manual, the parameter address, frequency, response measurements, and the one-fourth corner acceleration and deceleration measurements of the machine tools were adjusted. The experimental design (DOE was adopted in this study for taking circular measurements and engaging in the planning and selection of important parameter data. The Minitab R15 software was adopted to predict the experimental data analysis, while the seminormal probability map, Plato, and analysis of variance (ANOVA were adopted to determine the impacts of the significant parameter factors and the interactions among them. Additionally, based on the response surface map and contour plot, the optimal values were obtained. In addition, comparison and verification were conducted through the Taguchi method, regression analysis to improved machining accuracy and efficiency. The unadjusted error was 7.8 μm; through the regression analysis method, the error was 5.8 μm and through the Taguchi analysis method, the error was 6.4 μm.

  19. TESELA: a new Virtual Observatory tool to determine blank fields for astronomical observations

    Science.gov (United States)

    Cardiel, N.; Jiménez-Esteban, F. M.; Alacid, J. M.; Solano, E.; Aberasturi, M.

    2011-11-01

    The observation of blank fields, regions of the sky devoid of stars down to a given threshold magnitude, constitutes one of the typical important calibration procedures required for the proper reduction of astronomical data obtained in imaging mode. This work describes a method, based on the use of the Delaunay triangulation on the surface of a sphere, that allows for easy generation of blank-field catalogues. In addition to that, a new tool named TESELA, accessible through the Internet, has been created to facilitate the user to retrieve, and visualize using the Virtual Observatory tool ALADIN, the blank fields available near a given position in the sky.

  20. Profiles of Major Suppliers to the Automotive Industry : Vol. 7. Machine Tool Suppliers to the Automotive Industry.

    Science.gov (United States)

    1982-08-01

    This study summarizes extensive information collected over a two-year period (October 1978 to October 1980) on suppliers of parts and components, materials, and machine tools to the automotive industry in the United States. The objective of the study...

  1. Thermal Error Modeling Method for a CNC Machine Tool Feed Drive System

    Directory of Open Access Journals (Sweden)

    Kuo Liu

    2015-01-01

    Full Text Available The disadvantages of the common current thermal error modeling methods for CNC machine tool feed drive systems were analyzed, such as the requirement of many temperature sensors to reach high accuracy and poor applicability of different moving states. A new robust modeling method based on the heat transfer theory is proposed, and the procedure of the thermal tests for a feed drive system is presented. Multiple regression method and robust modeling method based on the heat transfer theory were, respectively, used to establish a thermal error model, and a pointer automatic optimizer was used to optimize the parameters in the robust model. A compensation simulation was conducted under five different moving states using these two modeling methods, and the advantages of the robust modeling method were proved. Finally, the compensation effect of the robust modeling method was verified under a random moving state on a vertical machining center.

  2. The virtual machine (VM) scaler: an infrastructure manager supporting environmental modeling on IaaS clouds

    Science.gov (United States)

    Infrastructure-as-a-service (IaaS) clouds provide a new medium for deployment of environmental modeling applications. Harnessing advancements in virtualization, IaaS clouds can provide dynamic scalable infrastructure to better support scientific modeling computational demands. Providing scientific m...

  3. Examining Effects of Virtual Machine Settings on Voice over Internet Protocol in a Private Cloud Environment

    Science.gov (United States)

    Liao, Yuan

    2011-01-01

    The virtualization of computing resources, as represented by the sustained growth of cloud computing, continues to thrive. Information Technology departments are building their private clouds due to the perception of significant cost savings by managing all physical computing resources from a single point and assigning them to applications or…

  4. Tool Wear Analysis due to Machining In Super Austenitic Stainless Steel

    Directory of Open Access Journals (Sweden)

    Polishetty Ashwin

    2017-01-01

    Full Text Available This paper presents tool wear study when a machinability test was applied using milling on Super Austenitic Stainless Steel AL6XN alloy. Eight milling trials were performed under two cutting speeds, 100 m/min and 150 m/min, combined with two feed rates at 0.1mm/tooth and 0.15 mm/tooth and two depth of cuts at 2 mm and 3 mm. An Alicona 3D optical surface profilometer was used to scan cutting inserts flank and rake face areas for wear. Readings such as maximum and minimum deviations were extracted and used to analyse the outcomes. Results showed various types of wear were generated on the tool rake and flank faces. The common formed wear was the crater wear. The formation of the build-up edge was observed on the rake face of the cutting tool.

  5. Formalizing the Safety of Java, the Java Virtual Machine and Java Card

    NARCIS (Netherlands)

    Hartel, Pieter H.; Moreau, Luc

    2001-01-01

    We review the existing literature on Java safety, emphasizing formal approaches, and the impact of Java safety on small footprint devices such as smart cards. The conclusion is that while a lot of good work has been done, a more concerted effort is needed to build a coherent set of machine readable

  6. DockFlow - a prototypic PharmaGrid for virtual screening integrating four different docking tools.

    Science.gov (United States)

    Wolf, Antje; Hofmann-Apitius, Martin; Ghanem, Moustafa; Azam, Nabeel; Kalaitzopoulos, Dimitrios; Yu, Kunqian; Kasam, Vinod

    2009-01-01

    In this paper we present DockFlow, a prototypic version of a PharmaGrid. DockFlow is supporting pharmaceutical research through enabling virtual screening on the Grid. The system was developed in the course of the BRIDGE project funded by the European Commission. Grids have been used before to run compute- and data-intensive virtual screening experiments, like in the WISDOM project. With DockFlow, however, we addressed a variety of problems yet unsolved, like the diversity of results produced by different docking tools. We also addressed the problem of analysing the data produced in a distributed virtual screening system applying a combinatorial docking approach. In DockFlow we worked on a grid-based problem solving environment for virtual screening with the following major features: execution of four different docking services (FlexX, AutoDock, DOCK and GAsDock) at locations in Europe and China remotely from a common workflow, storage of the results in a common Docking Database providing a shared analysis platform for the collaboration partners and combination of the results. The DockFlow prototype is evaluated on two scientific case studies: malaria and avian flu.

  7. Using a Virtual Tablet Machine to Improve Student Understanding of the Complex Processes Involved in Tablet Manufacturing.

    Science.gov (United States)

    Mattsson, Sofia; Sjöström, Hans-Erik; Englund, Claire

    2016-06-25

    Objective. To develop and implement a virtual tablet machine simulation to aid distance students' understanding of the processes involved in tablet production. Design. A tablet simulation was created enabling students to study the effects different parameters have on the properties of the tablet. Once results were generated, students interpreted and explained them on the basis of current theory. Assessment. The simulation was evaluated using written questionnaires and focus group interviews. Students appreciated the exercise and considered it to be motivational. Students commented that they found the simulation, together with the online seminar and the writing of the report, was beneficial for their learning process. Conclusion. According to students' perceptions, the use of the tablet simulation contributed to their understanding of the compaction process.

  8. Deterministic modeling and evaluation of a virtual research ...

    African Journals Online (AJOL)

    VRL) as a collection of relatively independent distributed virtual mediums, search machine, software instruments and tools for specific research organization in the field of the modern electronic and computer technologies. The life cycle models ...

  9. Volumetric calibration of multi-axis machine tools through parametric way

    Science.gov (United States)

    Khan, Abdul Wahid; Chen, Wuyi

    2008-12-01

    A methodology was implemented to evolve the volumetric errors of multiaxis machine tools through a parametric way. The volumetric error was calibrated and evaluated in the workspace arbitrarily by implementing parametric methods and techniques. In parametric method linear displacement errors and angular displacement errors were measured through a laser interferometer with combination of a newly developed three-line measuring method to measure the prismatic joints for efficient and quick error meterage. Besides these, squareness errors between the axes were also quantified by using reversal method. Volumetric accuracy portrayed the real error picture between the workpiece and cutting tool or end effectors or a measuring probe. So positional errors, straightness errors, angular errors and squareness errors were quantified and transformed into volumetric accuracy by using generalized homogenous transformation matrices, whereas forward kinematics technique was used as a tool. Measured results can be used to compensate the volumetric errors to achieve high precision in manufacturing and measurement through physical compensation, making correction, adjustment or improvement through software. Reported here is the volumetric accuracy results carried on a multi-axis CNC milling machine under controlled environmental conditions and as per the standard procedure and practice.

  10. Hardware and software and machine-tool simulation with parallel structures mechanisms

    Directory of Open Access Journals (Sweden)

    Keba P.V.

    2016-12-01

    Full Text Available The usage spectrum of mechanisms with parallel structure is spreading all the time. The mechanisms of machine-tools and manipulators become more complicated and it is necessary to improve the program-controlled modules. Closed circuit mechanisms are mostly spread in robotic complexes, where manipulator performs complicated spatial movements by the given trajectory. The usage spectrum is very wide and the most popular are sorting, welding, assembling and others. However, the problem of designing the operating programs is still present even today. It is just because the developed post-processors are created for the equipment that we have for now. But new machine tool constructions appear every day and there is a necessity to control them. The problems associated with using of hardware and software of mechanisms with parallel structure in computer-aided simulation are considered. The program for inverse problem kinematics solving is designed. New method of designing the control programs is found. The kinematic analysis methods options and calculated data obtained by computer mathematics systems are shown with «Tools Glide» software taken as an example.

  11. A machine learning tool for re-planning and adaptive RT: A multicenter cohort investigation.

    Science.gov (United States)

    Guidi, G; Maffei, N; Meduri, B; D'Angelo, E; Mistretta, G M; Ceroni, P; Ciarmatori, A; Bernabei, A; Maggi, S; Cardinali, M; Morabito, V E; Rosica, F; Malara, S; Savini, A; Orlandi, G; D'Ugo, C; Bunkheila, F; Bono, M; Lappi, S; Blasi, C; Lohr, F; Costi, T

    2016-12-01

    To predict patients who would benefit from adaptive radiotherapy (ART) and re-planning intervention based on machine learning from anatomical and dosimetric variations in a retrospective dataset. 90 patients (pts) treated for head-neck cancer (H&N) formed a multicenter data-set. 41 H&N pts (45.6%) were considered for learning; 49 pts (54.4%) were used to test the tool. A homemade machine-learning classifier was developed to analyze volume and dose variations of parotid glands (PG). Using deformable image registration (DIR) and GPU, patients' conditions were analyzed automatically. Support Vector Machines (SVM) was used for time-series evaluation. "Inadequate" class identified patients that might benefit from replanning. Double-blind evaluation by two radiation oncologists (ROs) was carried out to validate day/week selected for re-planning by the classifier. The cohort was affected by PG mean reduction of 23.7±8.8%. During the first 3weeks, 86.7% cases show PG deformation aligned with predefined tolerance, thus not requiring re-planning. From 4th week, an increased number of pts would potentially benefit from re-planning: a mean of 58% of cases, with an inter-center variability of 8.3%, showed "inadequate" conditions. 11% of cases showed "bias" due to DIR and script failure; 6% showed "warning" output due to potential positioning issues. Comparing re-planning suggested by tool with recommended by ROs, the 4th week seems the most favorable time in 70% cases. SVM and decision-making tool was applied to overcome ART challenges. Pts would benefit from ART and ideal time for re-planning intervention was identified in this retrospective analysis. Copyright © 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

  12. Virtual tool mark generation for efficient striation analysis in forensic science

    Energy Technology Data Exchange (ETDEWEB)

    Ekstrand, Laura [Iowa State Univ., Ames, IA (United States)

    2012-01-01

    In 2009, a National Academy of Sciences report called for investigation into the scienti c basis behind tool mark comparisons (National Academy of Sciences, 2009). Answering this call, Chumbley et al. (2010) attempted to prove or disprove the hypothesis that tool marks are unique to a single tool. They developed a statistical algorithm that could, in most cases, discern matching and non-matching tool marks made at di erent angles by sequentially numbered screwdriver tips. Moreover, in the cases where the algorithm misinterpreted a pair of marks, an experienced forensics examiner could discern the correct outcome. While this research served to con rm the basic assumptions behind tool mark analysis, it also suggested that statistical analysis software could help to reduce the examiner's workload. This led to a new tool mark analysis approach, introduced in this thesis, that relies on 3D scans of screwdriver tip and marked plate surfaces at the micrometer scale from an optical microscope. These scans are carefully cleaned to remove noise from the data acquisition process and assigned a coordinate system that mathematically de nes angles and twists in a natural way. The marking process is then simulated by using a 3D graphics software package to impart rotations to the tip and take the projection of the tip's geometry in the direction of tool travel. The edge of this projection, retrieved from the 3D graphics software, becomes a virtual tool mark. Using this method, virtual marks are made at increments of 5 and compared to a scan of the evidence mark. The previously developed statistical package from Chumbley et al. (2010) performs the comparison, comparing the similarity of the geometry of both marks to the similarity that would occur due to random chance. The resulting statistical measure of the likelihood of the match informs the examiner of the angle of the best matching virtual mark, allowing the examiner to focus his/her mark analysis on a smaller range of angles

  13. Hybrid PolyLingual Object Model: An Efficient and Seamless Integration of Java and Native Components on the Dalvik Virtual Machine

    Science.gov (United States)

    Huang, Yukun; Chen, Rong; Wei, Jingbo; Pei, Xilong; Cao, Jing; Prakash Jayaraman, Prem; Ranjan, Rajiv

    2014-01-01

    JNI in the Android platform is often observed with low efficiency and high coding complexity. Although many researchers have investigated the JNI mechanism, few of them solve the efficiency and the complexity problems of JNI in the Android platform simultaneously. In this paper, a hybrid polylingual object (HPO) model is proposed to allow a CAR object being accessed as a Java object and as vice in the Dalvik virtual machine. It is an acceptable substitute for JNI to reuse the CAR-compliant components in Android applications in a seamless and efficient way. The metadata injection mechanism is designed to support the automatic mapping and reflection between CAR objects and Java objects. A prototype virtual machine, called HPO-Dalvik, is implemented by extending the Dalvik virtual machine to support the HPO model. Lifespan management, garbage collection, and data type transformation of HPO objects are also handled in the HPO-Dalvik virtual machine automatically. The experimental result shows that the HPO model outweighs the standard JNI in lower overhead on native side, better executing performance with no JNI bridging code being demanded. PMID:25110745

  14. Hybrid PolyLingual Object Model: An Efficient and Seamless Integration of Java and Native Components on the Dalvik Virtual Machine

    Directory of Open Access Journals (Sweden)

    Yukun Huang

    2014-01-01

    Full Text Available JNI in the Android platform is often observed with low efficiency and high coding complexity. Although many researchers have investigated the JNI mechanism, few of them solve the efficiency and the complexity problems of JNI in the Android platform simultaneously. In this paper, a hybrid polylingual object (HPO model is proposed to allow a CAR object being accessed as a Java object and as vice in the Dalvik virtual machine. It is an acceptable substitute for JNI to reuse the CAR-compliant components in Android applications in a seamless and efficient way. The metadata injection mechanism is designed to support the automatic mapping and reflection between CAR objects and Java objects. A prototype virtual machine, called HPO-Dalvik, is implemented by extending the Dalvik virtual machine to support the HPO model. Lifespan management, garbage collection, and data type transformation of HPO objects are also handled in the HPO-Dalvik virtual machine automatically. The experimental result shows that the HPO model outweighs the standard JNI in lower overhead on native side, better executing performance with no JNI bridging code being demanded.

  15. High-Performance Integrated Virtual Environment (HIVE Tools and Applications for Big Data Analysis

    Directory of Open Access Journals (Sweden)

    Vahan Simonyan

    2014-09-01

    Full Text Available The High-performance Integrated Virtual Environment (HIVE is a high-throughput cloud-based infrastructure developed for the storage and analysis of genomic and associated biological data. HIVE consists of a web-accessible interface for authorized users to deposit, retrieve, share, annotate, compute and visualize Next-generation Sequencing (NGS data in a scalable and highly efficient fashion. The platform contains a distributed storage library and a distributed computational powerhouse linked seamlessly. Resources available through the interface include algorithms, tools and applications developed exclusively for the HIVE platform, as well as commonly used external tools adapted to operate within the parallel architecture of the system. HIVE is composed of a flexible infrastructure, which allows for simple implementation of new algorithms and tools. Currently, available HIVE tools include sequence alignment and nucleotide variation profiling tools, metagenomic analyzers, phylogenetic tree-building tools using NGS data, clone discovery algorithms, and recombination analysis algorithms. In addition to tools, HIVE also provides knowledgebases that can be used in conjunction with the tools for NGS sequence and metadata analysis.

  16. High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis.

    Science.gov (United States)

    Simonyan, Vahan; Mazumder, Raja

    2014-09-30

    The High-performance Integrated Virtual Environment (HIVE) is a high-throughput cloud-based infrastructure developed for the storage and analysis of genomic and associated biological data. HIVE consists of a web-accessible interface for authorized users to deposit, retrieve, share, annotate, compute and visualize Next-generation Sequencing (NGS) data in a scalable and highly efficient fashion. The platform contains a distributed storage library and a distributed computational powerhouse linked seamlessly. Resources available through the interface include algorithms, tools and applications developed exclusively for the HIVE platform, as well as commonly used external tools adapted to operate within the parallel architecture of the system. HIVE is composed of a flexible infrastructure, which allows for simple implementation of new algorithms and tools. Currently, available HIVE tools include sequence alignment and nucleotide variation profiling tools, metagenomic analyzers, phylogenetic tree-building tools using NGS data, clone discovery algorithms, and recombination analysis algorithms. In addition to tools, HIVE also provides knowledgebases that can be used in conjunction with the tools for NGS sequence and metadata analysis.

  17. Design of a real-time open architecture controller for reconfigurable machine tool

    CSIR Research Space (South Africa)

    Masekamela, I

    2008-06-01

    Full Text Available – 25, University of Limerick, Ireland 1 Design of a Real-Time Open Architecture Controller for Reconfigurable Machine Tool I Masekamela1*, N.S Tlale,1 and C.M Kumile2 1 Mechatronics and Micro Manufacturing Council of Scientific and Industrial... GUI. However, it will be noted that in the event of the success of the project, a proper interface will be made for other CAD packages. 2.2. POSSIBLE CONFIGURATIONS Mechatronics 2008, June 23 – 25, University of Limerick, Ireland 3 A provision...

  18. INVESTIGATION AND ASSESSMENT OF OCCUPATIONAL RISK ON THE METAL CUTTING MACHINE TOOL STAN

    Directory of Open Access Journals (Sweden)

    Jerzy Józwik

    2013-12-01

    Full Text Available The paper analyzes occupational risk at selected metal cutting machine tool stands (turning, milling, drilling and grinding stands and presents a set of recommendations formulated to minimize hazards at the above mentioned stands. The assessment is based on the analysis that allowed for selecting the best method of occupational risk assessment, measurements, observations, interviews and conclusions drawn from the obtained results. Occupational risk assessment forms were devised, what allowed for selecting appropriate action to increase the safety of selected machinery operators. The guidelines were assessed in terms of their practical implementation and expected utilitarian results.

  19. Measurements of Temperature of CNC Machine Tool Ball Screw Utilising IR Method

    Directory of Open Access Journals (Sweden)

    Zapłata J.

    2017-08-01

    Full Text Available In numerous papers it is proposed to use IR measurements of feed axis ball screw temperature distribution in order to compensate CNC machine tool thermal errors. The paper aims to validate reliability of the IR measurements in application to the feed axes ball screws. The identification of key factors influencing the accuracy of the IR measurements of ball screw temperature distribution has been conducted. A test-bench utilizing a ball screw assembly with built-in temperature sensors was introduced and the experimental data are presented along with conclusions.

  20. Heuristic algorithms for solving of the tool routing problem for CNC cutting machines

    Science.gov (United States)

    Chentsov, P. A.; Petunin, A. A.; Sesekin, A. N.; Shipacheva, E. N.; Sholohov, A. E.

    2015-11-01

    The article is devoted to the problem of minimizing the path of the cutting tool to shape cutting machines began. This problem can be interpreted as a generalized traveling salesman problem. Earlier version of the dynamic programming method to solve this problem was developed. Unfortunately, this method allows to process an amount not exceeding thirty circuits. In this regard, the task of constructing quasi-optimal route becomes relevant. In this paper we propose options for quasi-optimal greedy algorithms. Comparison of the results of exact and approximate algorithms is given.

  1. Apparatus for correcting precision errors in slide straigntness in machine tools

    Science.gov (United States)

    Robinson, S.C.; Gerth, H.L.

    The present invention is directed to a mechanism by which small deviations in slideway straightness and roll of a precision machining apparatus may be compensated for. The mechanism of the present invention comprises a fixture support disposed between the slideway carriage and the tool or workpiece fixture and provided with a hinge-like coupling between the carriage and the fixture support so as to allow for the minute and precise displacement of the fixture support in a direction normal to the direction of the slide path soa as to readily compensate for slight deviations in the straightness and roll of the slide path.

  2. How the choice of Operating System can affect databases on a Virtual Machine

    OpenAIRE

    Karlsson, Jan; Eriksson, Patrik

    2014-01-01

    As databases grow in size, the need for optimizing databases is becoming a necessity. Choosing the right operating system to support your database becomes paramount to ensure that the database is fully utilized. Furthermore with the virtualization of operating systems becoming more commonplace, we find ourselves with more choices than we ever faced before. This paper demonstrates why the choice of operating system plays an integral part in deciding the right database for your system in a virt...

  3. Dynamic virtual machine allocation policy in cloud computing complying with service level agreement using CloudSim

    Science.gov (United States)

    Aneri, Parikh; Sumathy, S.

    2017-11-01

    Cloud computing provides services over the internet and provides application resources and data to the users based on their demand. Base of the Cloud Computing is consumer provider model. Cloud provider provides resources which consumer can access using cloud computing model in order to build their application based on their demand. Cloud data center is a bulk of resources on shared pool architecture for cloud user to access. Virtualization is the heart of the Cloud computing model, it provides virtual machine as per application specific configuration and those applications are free to choose their own configuration. On one hand, there is huge number of resources and on other hand it has to serve huge number of requests effectively. Therefore, resource allocation policy and scheduling policy play very important role in allocation and managing resources in this cloud computing model. This paper proposes the load balancing policy using Hungarian algorithm. Hungarian Algorithm provides dynamic load balancing policy with a monitor component. Monitor component helps to increase cloud resource utilization by managing the Hungarian algorithm by monitoring its state and altering its state based on artificial intelligent. CloudSim used in this proposal is an extensible toolkit and it simulates cloud computing environment.

  4. Virtual anthropology: useful radiological tools for age assessment in clinical forensic medicine and thanatology.

    Science.gov (United States)

    Dedouit, Fabrice; Saint-Martin, Pauline; Mokrane, Fatima-Zohra; Savall, Frédéric; Rousseau, Hervé; Crubézy, Eric; Rougé, Daniel; Telmon, Norbert

    2015-09-01

    Virtual anthropology consists of the introduction of modern slice imaging to biological and forensic anthropology. Thanks to this non-invasive scientific revolution, some classifications and staging systems, first based on dry bone analysis, can be applied to cadavers with no need for specific preparation, as well as to living persons. Estimation of bone and dental age is one of the possibilities offered by radiology. Biological age can be estimated in clinical forensic medicine as well as in living persons. Virtual anthropology may also help the forensic pathologist to estimate a deceased person's age at death, which together with sex, geographical origin and stature, is one of the important features determining a biological profile used in reconstructive identification. For this forensic purpose, the radiological tools used are multislice computed tomography and, more recently, X-ray free imaging techniques such as magnetic resonance imaging and ultrasound investigations. We present and discuss the value of these investigations for age estimation in anthropology.

  5. Application of time series to thermal error compensation of machine tools

    Science.gov (United States)

    Miao, Enming; Yan, Yan; Fei, Yetai

    2011-05-01

    The thermal error compensation of CNC machine tool is of great value to improving the accuracy, and the modeling method is a proximate factor of thermal error compensation and its robustness. Currently, internationally adopted modeling methods include multiple linear regression, neural network method etc. And the most commonly used modeling method is multiple linear regression, what is simple and quick. But forecast accuracy which needs to be improved limits to the application of thermal error modeling of precision CNC machine. When we model a time series modeling, we study variables and its extrapolate mechanism to forecast changes of time series, give heavier weight to the data near by the prediction, increase short-term parameters' impact of model, so as to achieve improving forecasting precision of model. And time series models have been used widely in economic, sociology and medicine, but few in thermal error modeling of CNC machine. Adopt autoregressive distributed lag model of time series analysis, and contract of results among time series model, multiple linear regression model, demonstrate that forecast accuracy can be improved using time series model, and time series analysis has a bright future.

  6. Effects of Machine Tool Spindle Decay on the Stability Lobe Diagram: An Analytical-Experimental Study

    Directory of Open Access Journals (Sweden)

    Omar Gaber

    2016-01-01

    Full Text Available An analytical-experimental investigation of machine tool spindle decay and its effects of the system’s stability lobe diagram (SLD is presented. A dynamic stiffness matrix (DSM model for the vibration analysis of the OKADA VM500 machine spindle is developed and is validated against Finite Element Analysis (FEA. The model is then refined to incorporate flexibility of the system’s bearings, originally modeled as simply supported boundary conditions, where the bearings are modeled as linear spring elements. The system fundamental frequency obtained from the modal analysis carried on an experimental setup is then used to calibrate the DSM model by tuning the springs’ constants. The resulting natural frequency is also used to determine the 2D stability lobes diagram (SLD for said spindle. Exploiting the presented approach and calibrated DSM model it is shown that a hypothetical 10% change in the natural frequency would result in a significant shift in the SLD of the spindle system, which should be taken into consideration to ensure chatter-free machining over the spindle’s life cycle.

  7. Machining Performance of Hot-Pressed Carbon Nanotube Reinforced Alumina Cutting Tool Insert

    Science.gov (United States)

    Sarkar, Snehashis; Das, Santanu; Sarkar, Soumya; Das, Probal Kumar

    2017-06-01

    Machining performance of monolithic alumina (Al2O3) tool inserts for metal cutting through carbon nanotube (CNT) incorporation was studied in this work. 0.3 vol% multiwalled CNT(MWCNT)-Al2O3 nanocomposite was prepared by hot-pressing at 1550°C with a dwell of 1 h under 2.5 MPa uniaxial pressure in static argon atmosphere. The hot-pressed nanocomposite achieved >99.5% of its theoretical density. The specimen also offered improved fracture toughness, KIC ( 23% higher), flexural strength, σFS ( 10% higher), hardness, HV1 ( 7.5% higher) and thermal conductivity, κ ( 30% higher) compared to those of pure Al2O3 (KIC = 5.23 MPa-m0.5, σFS = 341.01 MPa, HV1 = 18.80 GPa, κ = 23.69 W/mK). Inserts developed with this nanocomposite having 0.8 and 1 mm nose radii demonstrated successful machining during turning of AISI 4340 steel rod (hardness = 38 HRC) in dry environment under different cutting conditions and showed promising applicability in machining industry.

  8. The Synthesis of Precise Rotating Machine Mathematical Model, Operating Natural Signals and Virtual Data

    Science.gov (United States)

    Zhilenkov, A. A.; Kapitonov, A. A.

    2017-07-01

    It is known that synchronous machines catalogue data are presented for the case of two-phase machine in rotating coordinate system, e.g. for their description with Park-Gorev’s equation system. Nevertheless, many problems require control of phase currents and voltages, for instance, in modeling of the systems, in which synchronous generators supply powerful rectifiers. Modeling of complex systems with synchronous generators, semiconductor convertors and etc. (with phase currents control necessary for power switch commutation algorithms) becomes achievable with the equation system described in this article. Given model can be used in digital control systems with internal model. It doesn’t require high capacity of computing resources and provides sufficient modeling accuracy.

  9. Swept Mechanism of Micro-Milling Tool Geometry Effect on Machined Oxygen Free High Conductivity Copper (OFHC) Surface Roughness

    OpenAIRE

    Shi, Zhenyu; Liu, Zhanqiang; Li, Yuchao; Qiao, Yang

    2017-01-01

    Cutting tool geometry should be very much considered in micro-cutting because it has a significant effect on the topography and accuracy of the machined surface, particularly considering the uncut chip thickness is comparable to the cutting edge radius. The objective of this paper was to clarify the influence of the mechanism of the cutting tool geometry on the surface topography in the micro-milling process. Four different cutting tools including two two-fluted end milling tools with differe...

  10. Effect of tool wear per discharge estimation error on the depth of machined cavities in micro-EDM milling

    DEFF Research Database (Denmark)

    Puthumana, Govindan; Bissacco, Giuliano; Hansen, Hans Nørgaard

    2017-01-01

    In micro-EDM milling, real time electrode wear compensation based on tool wear per discharge (TWD) estimation permits the direct control of the position of the tool electrode frontal surface. However, TWD estimation errors will cause errors on the tool electrode axial depth. A simulation tool...... performed on a micro-EDM machine. Simulations and experimental results were found to be in good agreement, showing the effect of errror amplification through the cavity depth....

  11. Coupling Matched Molecular Pairs with Machine Learning for Virtual Compound Optimization.

    Science.gov (United States)

    Turk, Samo; Merget, Benjamin; Rippmann, Friedrich; Fulle, Simone

    2017-12-26

    Matched molecular pair (MMP) analyses are widely used in compound optimization projects to gain insights into structure-activity relationships (SAR). The analysis is traditionally done via statistical methods but can also be employed together with machine learning (ML) approaches to extrapolate to novel compounds. The here introduced MMP/ML method combines a fragment-based MMP implementation with different machine learning methods to obtain automated SAR decomposition and prediction. To test the prediction capabilities and model transferability, two different compound optimization scenarios were designed: (1) "new fragments" which occurs when exploring new fragments for a defined compound series and (2) "new static core and transformations" which resembles for instance the identification of a new compound series. Very good results were achieved by all employed machine learning methods especially for the new fragments case, but overall deep neural network models performed best, allowing reliable predictions also for the new static core and transformations scenario, where comprehensive SAR knowledge of the compound series is missing. Furthermore, we show that models trained on all available data have a higher generalizability compared to models trained on focused series and can extend beyond chemical space covered in the training data. Thus, coupling MMP with deep neural networks provides a promising approach to make high quality predictions on various data sets and in different compound optimization scenarios.

  12. Enhancement of electrochemical discharge machining accuracy and surface integrity using side-insulated tool electrode with diamond coating

    Science.gov (United States)

    Tang, Weidong; Kang, Xiaoming; Zhao, Wansheng

    2017-06-01

    Electrochemical discharge machining (ECDM) is an emerging non-traditional processing technology used to machine electrical non-conductive material like glass and ceramics, by using the electrochemical discharge phenomena around the tool electrode. In the general ECDM drilling process, the gas film forms and electrical discharge appears at both the tool end and the tool sidewall that were exposed to the electrolyte. The undesirable sidewall discharge enlarges the hole entrance diameter and destroys the hole surface integrity. In order to prevent the sidewall discharge, a side-insulated tool electrode with a 4 μm-thick diamond coating layer was used in ECDM micro-hole drilling. The gas film formation and electrical discharge mostly happened on the tool end due to the insulation layer on the tool sidewall. Experiments showed that, compared with the traditional tool electrode, the side-insulated tool electrode achieves a smaller hole diameter and better surface integrity without an obvious heat affected zone at the hole entrance. Furthermore, the hole diameter nearly remains the same as the machining depth increases from 50 μm to 500 μm. The side-insulated electrode has an advantage in enhancing shape accuracy by reducing the taper angle of the micro hole. When the machining depth is 600 μm, the side-insulated electrode achieves a much smaller hole taper angle ({{3.3}\\circ} ) than the traditional tool electrode does ({{6.4}\\circ} ).

  13. The use of virtual laboratories and other web-based tools in a drug assay course.

    Science.gov (United States)

    Dunham, Marissa Waldman; Ghirtis, Konstantine; Beleh, Mustapha

    2012-06-18

    To determine students' perceptions of and performance in a drug assay laboratory course after the addition of Web-based multimedia tools. Video modules and other Web-based tools to deliver instructions and emulate the laboratory set up for experiments were implemented in 2005 to improve student preparation for laboratory sessions and eliminate the need for graduate students to present instructions live. Data gathered from quizzes, final examinations, and post-course surveys administered over 6 years were analyzed. Students' scores on online quizzes after implementation of the virtual laboratories reflected improved student understanding and preparation. Students' perception of the course improved significantly after the introduction of the tools and the new teaching model. Implementation of an active-learning model in a laboratory course led to improvement in students' educational experience and satisfaction. Additional benefits included improved resource use, student exposure to a variety of educational methods, and having a highly structured laboratory format that reduced inconsistencies in delivered instructions.

  14. Qualitative: Open Source Python Tool for Quality Estimation over Multiple Machine Translation Outputs

    Directory of Open Access Journals (Sweden)

    Eleftherios Avramidis

    2014-09-01

    Full Text Available “Qualitative” is a python toolkit for ranking and selection of sentence-level output by different MT systems using Quality Estimation. The toolkit implements a basic pipeline for annotating the given sentences with black-box features. Consequently, it applies a machine learning mechanism in order to rank data based on models pre-trained on human preferences. The preprocessing pipeline includes support for language models, PCFG parsing, language checking tools and various other pre-processors and feature generators. The code follows the principles of object-oriented programming to allow modularity and extensibility. The tool can operate by processing both batch-files and single sentences. An XML-RPC interface is provided for hooking up with web-services and a graphical animated web-based interface demonstrates its potential on-line use.

  15. Experimental Investigation of Surface Layer Properties of High Thermal Conductivity Tool Steel after Electrical Discharge Machining

    Directory of Open Access Journals (Sweden)

    Rafał Świercz

    2017-12-01

    Full Text Available New materials require the use of advanced technology in manufacturing complex shape parts. One of the modern materials widely used in the tool industry for injection molds or hot stamping dies is high conductivity tool steel (HTCS 150. Due to its hardness (55 HRC and thermal conductivity at 66 W/mK, this material is difficult to machine by conventional treatment and is being increasingly manufactured by nonconventional technology such as electrical discharge machining (EDM. In the EDM process, material is removed from the workpiece by a series of electrical discharges that cause changes to the surface layers properties. The final state of the surface layer directly influences the durability of the produced elements. This paper presents the influence of EDM process parameters: discharge current Ic and the pulse time ton on surface layer properties. The experimental investigation was carried out with an experimental methodology design. Surface layers properties including roughness 3D parameters, the thickness of the white layer, heat affected zone, tempered layer and occurring micro cracks were investigated and described. The influence of the response surface methodology (RSM of discharge current Ic and the pulse time ton on the thickness of the white layer and roughness parameters Sa, Sds and Ssc were described and established.

  16. Strategic Performance Measurement Using Balanced Scorecard: A Case of Machine Tool Industry

    Directory of Open Access Journals (Sweden)

    Kshatriya Anil

    2017-02-01

    Full Text Available This paper focuses on implementation, monitoring, and application of balanced scorecard (BSC techniques in an organization involved in providing machine tool solutions to the industrial sector. The growth of the company considered in real time constituted improvements of both top and bottom lines. In the industry under consideration, it was observed that in our company, the top line was steadily growing but not the bottom line. This is when we started getting down to brass tacks and strategically focusing on growth in overall profits of the company. This included growing revenues by improving of EBITDA (earnings before interests, taxes, depreciation, and amortization and by increasing efficiency (i.e., cutting costs. These improvements were implemented by chalking out a comprehensive BSC designed to suit the machine tool industry. The four perspectives of the management, namely, internal business process, organizational learning, financial perspective, and customer perspective, have been considered lucidly and enunciate the parameters that affect the BSC very aptly. The BSC designed considered 9 objectives and 27 relative measures of these factors to quantify the various quantitative and qualitative dimensions that affect the company’s performance. A Balanced Lean Index (BL Score was used to measure the results for company X.

  17. Virtual panendoscopy--a new tool to help evaluating oral cancer.

    Science.gov (United States)

    Thiruchelvam, J K; Sah, S

    2012-09-01

    Virtual panendoscopy (VP) is a new, non-invasive diagnostic technique available to assess luminal structures. It involves the use of the data obtained from scanning of patients using multidetector CT scanners. The data is manipulated using a software programme to generate 3D models with fly through capability to examine various anatomical tubes. Its use has been studied in colonoscopy and bronchoscopy. However its use in head and neck cancer assessment has not been extensively studied. Therefore this diagnostic tool was used to stage 10 consecutive head and neck cancer patients. The ability of this tool in staging and identification of synchronous primary was assessed. The findings from the VP were also compared with the findings of nasendoscopy. In our pilot study, the virtual panendoscopy has been a useful tool in the assessment of the upper aero digestive tract. Although it has not picked up synchronous primaries, good quality assessment of lumen and the mucosal wall was done in areas not accessed by nasendoscope. It is most useful in areas not accessed by nasendoscope i.e. trachea, bronchus etc. The outcome, its usefulness and shortcomings are discussed.

  18. Development of a virtual tool for learning basic organisation and planning in rural engineering projects

    Science.gov (United States)

    Redel-Macías, María Dolores; Castillo, Carlos; Aguilar Porro, Cristina; Polo, María; Taguas, Encarnación V.

    2014-09-01

    This paper presents a virtual lab for the contents of an Engineering project, for designing an agro-industrial building, which is also useful for a range of different transversal courses in Engineering sciences. The aims of this tool are to analyse the most important contents of a project-document (calculation, regulations, drawings and budgets), as well as their relationship with the activities which make up the work and the schedule. The design criteria we considered were: its online applications and their compatibility with Moodle; the inclusion of different learning approaches, such as exploratory learning and inquiry-based learning; its interactivity, and the use of multimedia elements for visualisation and direct analysis on material common to Engineering subjects. The students' perceptions of the improvements brought by the virtual lab were analysed statistically through a series of questions over two academic years. The results of the questionnaires suggested that most of those who had used the e-learning tool valued positively its overall suitability for reaching the objectives in their subject as well as the way it improved the working methodology. The practical knowledge acquired by the students was also highly valued. In addition, the lack of constraints commonly related to field trips (expenses, time and complexity) illustrates the utility of self-access learning tools in key transversal disciplines such as Engineering projects.

  19. The Machine within the Machine

    CERN Multimedia

    Katarina Anthony

    2014-01-01

    Although Virtual Machines are widespread across CERN, you probably won't have heard of them unless you work for an experiment. Virtual machines - known as VMs - allow you to create a separate machine within your own, allowing you to run Linux on your Mac, or Windows on your Linux - whatever combination you need.   Using a CERN Virtual Machine, a Linux analysis software runs on a Macbook. When it comes to LHC data, one of the primary issues collaborations face is the diversity of computing environments among collaborators spread across the world. What if an institute cannot run the analysis software because they use different operating systems? "That's where the CernVM project comes in," says Gerardo Ganis, PH-SFT staff member and leader of the CernVM project. "We were able to respond to experimentalists' concerns by providing a virtual machine package that could be used to run experiment software. This way, no matter what hardware they have ...

  20. Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models.

    Science.gov (United States)

    Fang, Xingang; Bagui, Sikha; Bagui, Subhash

    2017-08-01

    The readily available high throughput screening (HTS) data from the PubChem database provides an opportunity for mining of small molecules in a variety of biological systems using machine learning techniques. From the thousands of available molecular descriptors developed to encode useful chemical information representing the characteristics of molecules, descriptor selection is an essential step in building an optimal quantitative structural-activity relationship (QSAR) model. For the development of a systematic descriptor selection strategy, we need the understanding of the relationship between: (i) the descriptor selection; (ii) the choice of the machine learning model; and (iii) the characteristics of the target bio-molecule. In this work, we employed the Signature descriptor to generate a dataset on the Human kallikrein 5 (hK 5) inhibition confirmatory assay data and compared multiple classification models including logistic regression, support vector machine, random forest and k-nearest neighbor. Under optimal conditions, the logistic regression model provided extremely high overall accuracy (98%) and precision (90%), with good sensitivity (65%) in the cross validation test. In testing the primary HTS screening data with more than 200K molecular structures, the logistic regression model exhibited the capability of eliminating more than 99.9% of the inactive structures. As part of our exploration of the descriptor-model-target relationship, the excellent predictive performance of the combination of the Signature descriptor and the logistic regression model on the assay data of the Human kallikrein 5 (hK 5) target suggested a feasible descriptor/model selection strategy on similar targets. Copyright © 2017 Elsevier Ltd. All rights reserved.