MTMT (acronym for Storage for the Hungarian Scientific Publications), maintained and operated by the Hungarian Academy of Science is the official database containing information of scientific publications published by Hungarian scientists.
Consulting this database is an indispensable tool to assess the scientific performance of a scientific institution’s or that of a scientist’s.
MTA SZTAKI NSIT is maintaining and operating the servers providing the MTMT web services.
RLW Navigator aims to develop an innovative Process Navigator to configure, integrate, test and validate applications of Remote Laser Welding (RLW) in automotive assembly addressing today’s critical needs for frequently changing operating conditions and product-mix provisions. Thus, RLW Navigator will crucially serve as an enabler for future energy efficient smart factories. Our Laboratory is responsible for configuring RLW robotic cells, generating optimal off-line robot programs, as well as simulating the operation of cells.
The lean usage of resources and improvement of energy efficiency have been receiving increasing attention in recent years, and even the less environmentally conscious will have to change their consumption practices due to rising energy prices as well as more and more strict regulations. In some cases, such adaptation may require in-depth expert knowledge and thorough planning, implementation and operation procedures, as is the case with the energy management of large public buildings.
The SCI-BUS project aims to ease the life of e-Scientists by creating a new science gateway customisation methodology based on the generic-purpose gUSE/WS-PGRADE portal family. The customised science gateways will enable scientists to focus on their work and exploit resources of main Distributed Computing Infrastructures (DCIs) without the need to deal with the underlying infrastructures' details.
ADVANCE is a three year project (01.10.2010-30.09.2013) co-financed by the European Commission’s Seventh Research Framework Programme under the Intelligent Information Management objective. The main objective of the project is to provide collaborative communities or networked enterprises, primarily logistics networks, with a solution platform which enables them to improve their operations through analysis of operational data, decision support and network-wide sharing of otherwise locally constrained information.
The PC glasses contain the computer in a case with sunshield form which does not obstruct the view. There is a simplified user interface on its upper shield with four buttons for paging, searching and switching books, films and files stored in the memory. The display units located below the eye-level present a distant and large-size virtual image in the bottom part of the field of vision. The image can be viewed by glancing downwards at a comfortable reading angle; therefore, the horizontal view has no obstacle.
The SHIWA project's main goal is to leverage existing workflow based solutions and enable cross-workflow and inter-workflow exploitation of DCIs by applying both coarse- and fine-grained strategies.
The coarse-grained (CG) approach enables to combine workflows written in different workflow languages in order to reuse existing reuse and combine existing workflow applications written in various workflow languages. The CG approach treats existing workflows as black box systems that can be incorporated into other workflow applications as workflow nodes.
The project “Quantifiable Closed Quality Control” (QC)² deals with the identification and development of improved structures and methods, which enable SME to control their activities concerning process and product quality issues.
Process quality addresses the minimization of all non-value adding processes in the value chain from order processing to production itself..
EDGI will develop middleware that consolidates the results achieved in the EDGeS project concerning the extension of Service Grids with Desktop Grids (DGs) in order to support European Grid Initiative (EGI) and National Grid Initiative user communities that are heavy users of Distributed Computing Infrastructures (DCIs) and require an extremely large number of CPUs and cores. EDGI will go beyond existing DCIs that are typically cluster Grids and supercomputer Grids, and will extend them with public and institutional Desktop Grids and Clouds.
The FP7 EDGeS project has successfully set up a production-level distributed computing infrastructure (DCI) consisting of more than 100.000 PCs from several volunteer and low-cost Desktop Grids, which have been connected to existing Service Grids (including EGEE, SEE-GRID, etc. with about 150.000 processors) based on the new 3G Bridge technology and application development methodology.