Implementing Medical Business Processes Integrating Server Technologies

In this paper we describe a BPM solution implemented by integrating server technologies in a SOA manner. Our solution empowers healthcare workers to more efficiently and effectively create clinical forms and contribute in clinical business processes. The clinical forms are XML documents created either using a special editor or web forms. Shared access and document management facilities are supported via the SharePoint services while business processes management is driven by the BizTalk server. The integration between servers and components is realized via Web Services, adapters, and event handlers. The core logic behind business processes is implemented via BEPL constructs that obtain clinical forms, perform the requested data transformations, store data into the database, and push forms further into business processes. Event handlers receive forms from processes and, according to the routing information, deliver them to recipients. Web services provide SOA glue and lookups

Eliciting the End-to-End Behavior of SOA Applications in Clouds

Availability and performance are key issues in SOA cloud applications. Those applications can be represented as a graph spanning multiple Cloud and on-premises environments, forming a very complex computing system that supports increasing numbers and types of users, business transactions, and usage scenarios. In order to rapidly find, predict, and proactively prevent root causes of issues, such as performance degradations and runtime errors, we developed a monitoring solution which is able to elicit the end-to-end behavior of those applications. We insert lightweight components into SOA frameworks and clients thereby keeping the monitoring impact minimal. Monitoring data collected from call chains is used to assist in issues related to performance, errors and alerts, as well as business and IT transactions

Monitoring SOA Applications with SOOM Tools: A Competitive Analysis

Background: Monitoring systems decouple monitoring functionality from application and infrastructure layers and provide a set of tools that can invoke operations on the application to be monitored. Objectives: Our monitoring system is a powerful yet agile solution that is able to online observe and manipulate SOA (Service-oriented Architecture) applications. The basic monitoring functionality is implemented via lightweight components inserted into SOA frameworks thereby keeping the monitoring impact minimal. Methods/Approach: Our solution is software that hides the complexity of SOA applications being monitored via an architecture where its designated components deal with specific SOA aspects such as distribution and communication. Results: We implement an application-level and end-to-end monitoring with the end user experience in focus. Our tools are connected to a single monitoring system which provides consistent operations, resolves concurrent requests, and abstracts away the underlying mechanisms that cater for the SOA paradigm. Conclusions: Due to its flexible architecture and design our monitoring tools are capable of monitoring SOA application in Cloud environments without significant modifications. In comparisons with related systems we proved that our agile approaches are the areas where our monitoring system excels

Resource Management in Message Passing Environments

This paper discusses the need for resource management support for parallel applications running on workstation clusters and communicating by message passing among tasks. Many resource management systems are only able to start a message passing runtime environment and parallel applications, but dynamic reconfiguration fails because of the missing cooperation between the resource manager and the runtime environment. In order to utilize computational resources in message passing environments efficiently, to control execution of parallel applications by rescheduling tasks at runtime, and to minimize their execution time, a resource management system has been developed and preliminary tests results have been carried out. Most of our efforts in this regard have been to design an efficient approach to load measurement and process scheduling and implement the resource management system in a manner such that it can easily be adapted to any message passing framework. Although our first version is based on the PVM system, we also intend to implement an MPI – based resource management system

Optimiranje autonomnog fotonaponskog sustava

Primjenom računala optimiran je nelinearan autonoman fotonaponski sustav. U tom je cilju izvršeno modeliranje sastavnih komponenata, postavljen je model za simulaciju na računalu, te definiran algoritam optimiranja sustava. Također su definirani ulazni podaci i određen korak diskretizacije kao kompromis između kvalitete simulacije s jedne i trajanja proračuna s druge strane. Odabrani su prikladni modeli za sve komponente : fotonaponsko polje, akumulatorsku bateriju, potrošač i kontrolni podsustav. Simulacijski model određuje tok energije unutar sustava u obliku vatsatnih i ampersatnih suma i predstavlja osnovu za optimiranje. Postupkom se optimiranja utvrđuje optimalan kut nagiba i optimalna površina fotonaponskog polja, te optimalan kapacitet akumulatorske baterije, minimiziranjem funkcije cilja.In order to optimize the work of a nonlinear autonomous photovoltaic system the computer aided methods were applied. For that purpose the modeling and the computational algorithm were performed. The input data and discretization step were defined as the compromis between the degree of simulation quality and duration of the computer program. The suitable models for all structural components have been selected for: photovoltaic array, storage battery, load and control subsystem. The overall simulation model defining flow of energy through the system was the basis for the optimization process. The optimum values for tilt angle, array area and battery capacity have been detemined by minimizing the objective function

Optimiranje autonomnog fotonaponskog sustava

Primjenom računala optimiran je nelinearan autonoman fotonaponski sustav. U tom je cilju izvršeno modeliranje sastavnih komponenata, postavljen je model za simulaciju na računalu, te definiran algoritam optimiranja sustava. Također su definirani ulazni podaci i određen korak diskretizacije kao kompromis između kvalitete simulacije s jedne i trajanja proračuna s druge strane. Odabrani su prikladni modeli za sve komponente : fotonaponsko polje, akumulatorsku bateriju, potrošač i kontrolni podsustav. Simulacijski model određuje tok energije unutar sustava u obliku vatsatnih i ampersatnih suma i predstavlja osnovu za optimiranje. Postupkom se optimiranja utvrđuje optimalan kut nagiba i optimalna površina fotonaponskog polja, te optimalan kapacitet akumulatorske baterije, minimiziranjem funkcije cilja.In order to optimize the work of a nonlinear autonomous photovoltaic system the computer aided methods were applied. For that purpose the modeling and the computational algorithm were performed. The input data and discretization step were defined as the compromis between the degree of simulation quality and duration of the computer program. The suitable models for all structural components have been selected for: photovoltaic array, storage battery, load and control subsystem. The overall simulation model defining flow of energy through the system was the basis for the optimization process. The optimum values for tilt angle, array area and battery capacity have been detemined by minimizing the objective function

Optimiranje autonomnog fotonaponskog sustava

Primjenom računala optimiran je nelinearan autonoman fotonaponski sustav. U tom je cilju izvršeno modeliranje sastavnih komponenata, postavljen je model za simulaciju na računalu, te definiran algoritam optimiranja sustava. Također su definirani ulazni podaci i određen korak diskretizacije kao kompromis između kvalitete simulacije s jedne i trajanja proračuna s druge strane. Odabrani su prikladni modeli za sve komponente : fotonaponsko polje, akumulatorsku bateriju, potrošač i kontrolni podsustav. Simulacijski model određuje tok energije unutar sustava u obliku vatsatnih i ampersatnih suma i predstavlja osnovu za optimiranje. Postupkom se optimiranja utvrđuje optimalan kut nagiba i optimalna površina fotonaponskog polja, te optimalan kapacitet akumulatorske baterije, minimiziranjem funkcije cilja.In order to optimize the work of a nonlinear autonomous photovoltaic system the computer aided methods were applied. For that purpose the modeling and the computational algorithm were performed. The input data and discretization step were defined as the compromis between the degree of simulation quality and duration of the computer program. The suitable models for all structural components have been selected for: photovoltaic array, storage battery, load and control subsystem. The overall simulation model defining flow of energy through the system was the basis for the optimization process. The optimum values for tilt angle, array area and battery capacity have been detemined by minimizing the objective function

Application of Thermogravimetry for Determination of Carbon Content in Biomass Ash as an Indicator of the Efficiency of the Combustion Process

The determination of the amount of residual carbon in biomass ash is important not only for the assessment of the efficiency of biomass fuel combustion but also as one of the criteria for the estimation of biomass ash potential use. In this paper carbon content in biomass ash was analysed by applying two methods: total organic carbon analysis (TOC) and thermogravimetric analysis (TGA) in an inert (N2) and oxidizing (O2) atmosphere. The amount of inorganic (carbonate) carbon can be directly calculated from the TGA curve and the obtained results are in a good agreement with the ones obtained using TOC analyser. On the other hand, the quantitative determination of organic and elemental carbon by TGA is not straight-forward since the temperature range of their oxidation overlaps with dehydration temperature of portlandite that is a constituent of biomass ash. It can be concluded that a basic version of the thermogravimetric analyzer can be used for the determination of inorganic carbon in ash samples, but for total organic carbon determination, it is recommended to use hyphenated techniques, for example, TGA-MS or TGA-FTIR that allows quantitation of evolved gases (CO2 and H2O)