A Web-based Database System for Providing Technical Information on ATM Networking Platforms

This paper presents a Web-based database hosting technical information about pioneering ATM networking platforms, associated research activities engaging these platforms, and related important trials conducted in the framework of these research activities. The paper outlines the organisation and structure of the information content in the database and discusses methods of access through the WWW interface. Besides the “static” information offered by the database, other Java-based tools provide for the on-line monitoring of the status of the ATM platforms and for manipulating data arising from technological trials on these platforms. The integration of these tools with the database, under a common WWW interface is discussed

ADVANTAGES OF AN INFORMATION SYSTEM MONITORING AND STOCKS AGRICULTURAL PRICES. CASE STUDY – ROSIM

Abstract agricultural policy in our country is based on information dispersed, especially because there is no centralized monitoring system, who to provide reliable information, while the agricultural and food market is experiencing a general feeling of instability - basically, it consists of channels and a dysfunctional organizational structure, based on communication systems do not operate in real time.. An integrated on-line monitoring of prices of agricultural products is of great interest due to the integration of computer technology (communications and agricultural sciences, based on specific concepts: client / server architecture, the integrated platform software, decision support, database distributed relational distance communication through the web, object oriented programming, mathematical modeling, interactivity etc.)

Data processing and distribution in the PAMELA experiment

Abstract YODA is a semi-automated data handling and analysis system for the PAMELA space experiment. The core of the routines have been developed to process a stream of raw data downlinked from the Resurs DK1 satellite (housing PAMELA) to the ground station in Moscow. Raw data consist of scientific data and engineering information. Housekeeping information are analyzed in a short time from download ( ≃ hours ) in order to monitor the status of the experiment and for the mission planning. A prototype for the data visualization runs on an APACHE TOMCAT web application server, providing an off-line analysis tool using a browser and part of code for the system maintenance. A quicklook system with GUI interface is used for operator monitoring and fast macrocommand issuing. On a longer timescale scientific data are analyzed, calibrations performed and the database adjourned. The data storage core is composed of CERN's ROOT files structure and MySQL as a relational database. YODA++ is currently being used in the integration and testing of ground PAMELA data

Simplifying gene expression microarray comparative analysis.

Gene Expression Comparative Analysis allows bioinformatics researchers to discover the conserved or specific functional regulation of genes. This is achieved through comparisons between quantitative gene expression measurements obtained in different species on different platforms to address a particular biological system. Comparisons are made more difficult due to the need to map orthologous genes between species, pre-processing of data (normalization) and post-analysis (statistical and correlation analysis). In this paper we introduce a web-based software package called EXP-PAC which provides on line interfaces for database construction and query of data, and makes use of a high performance computing platform of computer clusters to run gene sequence mapping and normalization methods in parallel. Thus, EXP-PAC facilitates the integration of gene expression data for comparative analysis and the online sharing, retrieval and visualization of complex multi-specific and multi-platform gene expression results.<br /

Development and significance of the E-surveillance system for contact allergies in Slovenia

This paper describes the development and significance of online systems for the collection and analysis of medical data (patch test results) with a web application. Modern digital tools greatly aid in collecting, combining, and preserving the data in a way that is friendly, undemanding and time-efficient for the dermatologist. Creating a central database for the results of patch testing provides a better picture of contact sensitivity and characteristics of allergic contact dermatitis in Slovenia. An electronic database and connected network was started in Slovenia in 2010. Data from skin allergy units since 2000 has also been included retrospectively. At present (Oct 2016), the database contains the data of 19,772 patch tests performed by seven skin allergy units. Creating a central database of the results of patch testing provides a larger and therefore more credible collection of data. Immediate integration and data processing enable a current overview of contact sensitivity for each participating center as well as at the national level. Data can be easily transferred to other databases or edited with other software tools. This on-line register has worked flawlessly for more than five years. We have contributed data to the European Surveillance System on Contact Allergies (ESSCA) network database since 2012, which, along with the Deutsche Kontaktallergie-Gruppe system of collecting patch test data for German-speaking countries, represents the only multicenter surveillance system of patch test results in Europe. </p

Machine Maintenance Management System

This projects develops a machine maintenance system to be used in high technology manufacturing industries, machine performance influences the entire manufacturing operation, from product quality to on-time delivery. Thus, machine maintenance management system is essential to improve machine performance while reducing production costs immensely. Rational Unifield Modeling Processs is used develop the analysis and design models of the machine maintenance management system. An integration of Web-based application (PWS) and Microsoft Visual Basic 6.0 is used to develop the system interface. Microsoft Access is used to develop the system database. Upon the system prototyping process, the system has been tested in MKPI (Matsushita Kotobuki Peripheral Indonesia). Further work, such as modification of machine, software and setup of networking between computer production line and office could be done to materialize the full implementation of the system functionality

YODA++: A proposal for a semi-automatic space mission control

YODA++ is a proposal for a semi-automated data handling and analysis system for the PAMELA space experiment. The core of the routines have been developed to process a stream of raw data downlinked from the Resurs DK1 satellite (housing PAMELA) to the ground station in Moscow. Raw data consist of scientific data and are complemented by housekeeping information. Housekeeping information will be analyzed within a short time from download (1 h) in order to monitor the status of the experiment and to foreseen the mission acquisition planning. A prototype for the data visualization will run on an APACHE TOMCAT web application server, providing an off-line analysis tool using a browser and part of code for the system maintenance. Data retrieving development is in production phase, while a GUI interface for human friendly monitoring is on preliminary phase as well as a JavaServerPages/JavaServerFaces (JSP/JSF) web application facility. On a longer timescale (1–3 h from download) scientific data are analyzed. The data storage core will be a mix of CERNs ROOT files structure and MySQL as a relational database. YODA++ is currently being used in the integration and testing on ground of PAMELA data. 2005 Published by Elsevier Ltd on behalf of COSPAR

A Query Integrator and Manager for the Query Web

We introduce two concepts: the Query Web as a layer of interconnected queries over the document web and the semantic web, and a Query Web Integrator and Manager (QI) that enables the Query Web to evolve. QI permits users to write, save and reuse queries over any web accessible source, including other queries saved in other installations of QI. The saved queries may be in any language (e.g. SPARQL, XQuery); the only condition for interconnection is that the queries return their results in some form of XML. This condition allows queries to chain off each other, and to be written in whatever language is appropriate for the task. We illustrate the potential use of QI for several biomedical use cases, including ontology view generation using a combination of graph-based and logical approaches, value set generation for clinical data management, image annotation using terminology obtained from an ontology web service, ontology-driven brain imaging data integration, small-scale clinical data integration, and wider-scale clinical data integration. Such use cases illustrate the current range of applications of QI and lead us to speculate about the potential evolution from smaller groups of interconnected queries into a larger query network that layers over the document and semantic web. The resulting Query Web could greatly aid researchers and others who now have to manually navigate through multiple information sources in order to answer specific questions