Distributed Object Medical Imaging Model

Abstract- Digital medical informatics and images are commonly used in hospitals today,. Because of the interrelatedness of the radiology department and other departments, especially the intensive care unit and emergency department, the transmission and sharing of medical images has become a critical issue. Our research group has developed a Java-based Distributed Object Medical Imaging Model(DOMIM) to facilitate the rapid development and deployment of medical imaging applications in a distributed environment that can be shared and used by related departments and mobile physiciansDOMIM is a unique suite of multimedia telemedicine applications developed for the use by medical related organizations. The applications support realtime patients’ data, image files, audio and video diagnosis annotation exchanges. The DOMIM enables joint collaboration between radiologists and physicians while they are at distant geographical locations. The DOMIM environment consists of heterogeneous, autonomous, and legacy resources. The Common Object Request Broker Architecture (CORBA), Java Database Connectivity (JDBC), and Java language provide the capability to combine the DOMIM resources into an integrated, interoperable, and scalable system. The underneath technology, including IDL ORB, Event Service, IIOP JDBC/ODBC, legacy system wrapping and Java implementation are explored. This paper explores a distributed collaborative CORBA/JDBC based framework that will enhance medical information management requirements and development. It encompasses a new paradigm for the delivery of health services that requires process reengineering, cultural changes, as well as organizational changes

PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development

This paper describes PlinyCompute, a system for development of high-performance, data-intensive, distributed computing tools and libraries. In the large, PlinyCompute presents the programmer with a very high-level, declarative interface, relying on automatic, relational-database style optimization to figure out how to stage distributed computations. However, in the small, PlinyCompute presents the capable systems programmer with a persistent object data model and API (the "PC object model") and associated memory management system that has been designed from the ground-up for high performance, distributed, data-intensive computing. This contrasts with most other Big Data systems, which are constructed on top of the Java Virtual Machine (JVM), and hence must at least partially cede performance-critical concerns such as memory management (including layout and de/allocation) and virtual method/function dispatch to the JVM. This hybrid approach---declarative in the large, trusting the programmer's ability to utilize PC object model efficiently in the small---results in a system that is ideal for the development of reusable, data-intensive tools and libraries. Through extensive benchmarking, we show that implementing complex objects manipulation and non-trivial, library-style computations on top of PlinyCompute can result in a speedup of 2x to more than 50x or more compared to equivalent implementations on Spark.Comment: 48 pages, including references and Appendi

Cooperative agent-based software architecture for distributed simulation

This paper proposes a cooperative multiagent model using distributed object-based systems for supporting distributed virtual environment and distributed simulation technologies for military and government applications. The agent model will use the condition-event driven rule based system as the basis for representing knowledge. In this model, the updates and revision of beliefs of agents corresponds to modifying the knowledge base. These agents are reactive and respond to stimulus as well as the environment in which they are embedded. Further, these agents are smart and can learn from their actions. The distributed agent-based software architecture will enable us to realise human behaviour model environment and computer-generated forces (also called computer-generated actor (CGA)) architectures. The design of the cooperative agent-based architecture will be based on mobile agents, interactive distributed computing models, and advanced logical modes of programming. This cooperative architecture will be developed using Java based tools and distributed databases

A Java Simulator for Membrane Computing

Membrane Computing is a recent area of Natural Computing, a topic where much work has been done but still much remains to be done. There are some applica tions which have been developed in imperative languages, like C++, or in declaratives languages, as Prolog, working in the framework of P systems. In this paper, a software tool (called SimCM, from Spanish Simulador de Computaci´on con Membranas) for handling P systems is presented. The program can simulate basic transition P Systems where dissolution of membranes and priority rules are allowed. The software applica tion is carried out in an imperative and object-oriented language – Java. We choose Java because it is a scalable and distributed language. Working with Java is the first step to cross the border between simulations and a distributed implementation able to capture the parallelism existing in the membrane computing area. This tool is a friendly application which allows us to follow the evolution of a P system easily and in a visual way. The program can be used to move the P system theory closer to the biologist and all the people who wants to learn and understand how this model works

tuProlog Manual

tuProlog is a light-weight Prolog system for distributed applications and infrastructures, intentionally designed around a minimal core extensible via libraries. tuProlog natively supports multi-paradigm programming, providing a clean, seamless integration model between Prolog and mainstream object-oriented languages -- namely Java, for tuProlog Java version, and any .NET-based language (C#, F#..), for tuProlog .NET version. This manual documents the tuProlog features as of version 3.

tuProlog Manual

tuProlog is a light-weight Prolog system for distributed applications and infrastructures, intentionally designed around a minimal core extensible via libraries. tuProlog natively supports multi-paradigm programming, providing a clean, seamless integration model between Prolog and mainstream object-oriented languages -- namely Java, for tuProlog Java version, and any .NET-based language (C#, F#..), for tuProlog .NET version. This manual documents the tuProlog features as of version 2.5

A Distributed, Component-based Solution for Scientific Information Management

This paper describes the design and performance of a distributed, multi-tier architecture for scientific information management and data exploration. A novel aspect of this framework is its integration of Java IDL, the CORBA distributed object computing middleware with JavaBeans, the Java Component model to provide a flexible, interactive framework for distributed, high-performance scientific data visualization. CORBA server objects running in a distributed, collaborative environment provide data acquisition and perform data-intensive computations. Clients as Java Bean components use these server objects for data retrieval and provide an interactive environment for visualization. The server objects use JDBC, the Java application programming interface to databases, to retrieve data from the distributed data stores. We discuss the system framework and its components and describe an example application and its performance

Developing An Object-oriented Approach For Operations Simulation In Speedes

Using simulation techniques, performance of any proposed system can be tested for different scenarios with a generated model. However, it is difficult to rapidly create simulation models that will accurately represent the complexity of the system. In recent years, Object-Oriented Discrete-Event Simulation has emerged as the potential technology to implement rapid simulation schemes. A number of software based on programming languages like C++ and Java are available for carrying out Object Oriented Discrete-Event Simulation. These software packages establish a general framework for simulation in computer programs, but need to be further customized for desired end-use applications. In this thesis, a generic simulation library is created for the distributed Synchronous Parallel Environment for Emulation and Discrete-Event Simulation (SPEEDES). This library offers classes to model the functionality of servers, processes, resources, transporters, and decisions. The library is expected to produce efficient simulation models in less time and with a lesser amount of coding. The class hierarchy is modeled using the Unified Modeling Language (UML). To test the library, the existing SPEEDES Space Shuttle Model is enhanced and recreated. This enhanced model is successfully validated against the original Arena model

An approach to compositional reasoning about concurrent objects and futures

Distributed and concurrent object-oriented systems are difficult to analyze due to the complexity of their concurrency, communication, and synchronization mechanisms. Rather than performing analysis at the code level of mainstream objectoriented languages such as Java and C++, we consider an imperative, objectoriented language with a simpler concurrency model. This language, based on concurrent objects communicating by asynchronous method calls and futures, avoids some difficulties of mainstream object-oriented programming languages related to compositionality and aliasing. In particular, reasoning about futures is handled by means of histories. Compositional verification systems facilitate system analysis, allowing components to be analyzed independently of their environment. In this paper, a compositional proof system in dynamic logic for partial correctness is established based on communication histories and class invariants. The soundness and relative completeness of this proof system follow by construction using a transformational approach from a sequential language with a non-deterministic assignment operator

Distributed Real Time Robot Vision in Java

The goal of this thesis was to design and implement a distributed real time vision system in Java and to investigate its performance with the aid of some robot experiments. Controlling a process requires reference- and feedback signals which can be sensed by means of digital cameras. The image data coming from the cameras needs to be collected, processed and transmitted through the network without long time delays. The high-level programming language Java was used for all implementations in order to achieve portability and object orientation. The UDP protocol provides the basis for the communication tool since it allows fast and connectionless data transmission. Computer vision was developed with the aid of Java Advanced Imaging as well as Java Native Interfaces. Based on the linearised and simplified model of the ball-and-plate process, continuous time controllers were designed and simulated using Simulink. A discretised controller was implemented in Java. Various timing tests showed the excellent performance of the developed communication tool. The Java-based image processing turned out to work fast enough with respect to the sampling interval of the digital cameras. The aim of the experiment was to make a ball roll along a predefined trajectory by tilting a plate appropriately. The ball-and-plate process was successfully controlled by a PD controller using an industrial robot as actuator and digital cameras as sensors for the feedback and reference signal