Catálogo de publicaciones - libros

This paper brings together the multi-agent platform and artificial neural network to create an intelligent decision support system for a group of medical specialists collaborating in the pervasive management of healthcare for chronic patients. Artificial intelligence is employed to support the management of chronic illness through the early identification of adverse trends in the patient’s physiological data. A framework based on software agents that proxy for participants in a home healthcare environment is presented. The proposed approach enables the agent-based home healthcare system to identify the emergent chronic conditions from the patterns of symptoms and allows the appropriate remediation to be initiated and managed transparently.

We have constructed “AwareRium”, an enhanced group home with ubiquitous technology to establish person-centered care. The group home is a facility that provides care for Alzheimer’s and dementia patients. The group home is effective in curbing the progress of Alzheimer’s dementia. A small number of elderly persons with no relations in need of care, support, or supervision, such as Alzheimer’s and dementia patients, can live together in the group home. In this paper, we describe the design concept of AwareRium and the sensing and projection devices installed therein. We present two support systems for position awareness using these devices in AwareRium: a system for finding lost objects and a system for identifying and noticing dangers in order to prevent dangers in the group home.

Electronic product code (EPC) sensor network is a collection of objects for sensing data. It is crucial to ubiquitous society. It can provide an application service based on situation dependency with its properties. The situation dependency is an emerging concept which can collect location-based and personalized information. With the situation dependency, many industries can serve ubiquitous service for independent users. u-Healthcare is one of ubiquitous service to provide seamless medical treatment. The concept of situation dependency is applied in u-Healthcare with EPC sensor network technology. Due to specialized four properties of EPC sensor network which are driven from this paper, the situation dependency is well-established in u-Healthcare service. In this paper, we defined value and architecture of u-Healthcare service and we analyzed application areas of u-Healthcare.

This paper proposed the Ubiquitous Healthcare System using context information for the personalized healthcare services in a home network environment. The context information is generated by location, health, and home environment information collected from sensors/devices equipped in home. This system is designed on the Distributed Object Group Framework (DOGF) supporting the functions which manage context information, applications and devices as one or more logical units in healthcare home environment. Especially, the system provides the continuous healthcare multimedia service by generating the context information based on resident’s location through the Mobile Proxy and the Context Provider as components of the DOGF. For verifying the execution of our system, we implemented the seamless multimedia service, the prescription/advice service and the schedule notification/alarm service according to a healthcare scenario in home. Finally, we showed the execution results of healthcare home services by using service devices existed in the residential space.

CORBA is the most widely used middleware for implementing distributed application. Currently, object implementations facilitate object group model to organize the object services. In addition to the complexity of designing the object groups, researchers also seek to improve the quality of service (QoS) by various means such as implementing load balancing to the system. This paper deals with the proposed load balancing service of distributed object groups. The proposed load balancing service uses the dynamic replication scheme which is mechanized by flow balance assumption (FBA) that derives from the arrival and service rate to execute request forwarding to new objects. The proposed on-demand replication scheme adjusts the number of replicated objects based on the arrival rate to minimize the waiting time of clients. It consists of procedures such as intercepting the request and executing on-demand activation of objects. The result of the simulation shows the improvement of the total mean client request completion time of the system as compared to other load balancing schemes.

The low cost and wide availability of PC-based clusters have made them excellent alternatives to supercomputing. However, while Network of Workstations are readily available, there is an increasing need for performance tools that support these computing platforms in order to achieve even higher performance. Strategies that may be considered toward such performance achievement we may list are: performance data analysis, algorithm design, parallel program restructuring, among others. Introduced in this paper is a toolkit that generates performance data and graphical charts of pure MPI, pure OpenMP, as well as hybrid MPI/OpenMP parallel applications, reflecting to its sequence of execution over time and cache behavior, with the use of DP*Graph representation, a parallel version of timing graph. That is, parallel applications have their execution sequence in a cluster system platform shown through graphical charts composed by sequential codes, parallel threads, dependencies and communication structures, symbols defined in DP*Graph. It is discussed the implementation of this toolkit, as also some of its features, together with experimental use of the toolkit on parallel applications such as matrix multiplication (parallel implementation using MPI) and SPICE3 (parallel implementation using OpenMP).

In the ubiquitous environment, anyone could easilyaccess all shared informations which means it also has many serious drawbacks, such as security problems. Therefore the ubiquitous environment should provide a security service. This paper suggests an Enterprise Application Framework(EAF) which includes a security module as well as a business process module for constructing secure RFID application. The security module includes user authentication mechanism, key sharing mechanism, and authorization mechanism. Thus, this framework is expected to provide more secure management in the ubiquitous environments such as RFID applications.

Since embedded systems based on System-on-a-Chip(SoC) have limited resources, debugging programs in such systems requires a remote debugging system that has enough resources. However, existing JTAG based remote debugging system that uses GDB in Linux environment does not provide tracing function, so it is hard to monitor the executions of SoC program in real time. This paper adds a tracing facility to existing GDB remote debugging system to provide a real time monitoring tool. To demonstrate a real time tracing of synthetic program, Intel a Xscale PXA series processor based target system is used.

Java Card technology enables smart cards and other devices with very limited memory to run small applications. It provides users with a secure and interoperable execution platform that can store and update multiple applications on a single device. However, a major difficulty with Java Card is its low execution speed caused by hardware limitations. In this paper, we propose a novel scheme about how to improve the execution speed of Java Card. The key idea of our approach is a buffer cache scheme that uses RAM instead of EEPROM to improve the execution speed of Java Card. The proposed scheme reduces I/O count, especially EEPROM writing. Our scheme is based on the high locality of Java Card objects and the use of RAM that is several magnitude faster than EEPROM.

The ubiquitous game platform implemented by our team is composed of a C++ compiler, a java translator, and a virtual machine. The EVM (Embedded Virtual Machine) is a stack-based solution that supports object-oriented languages such as C++ and java. It uses the SIL (Standard Intermediate Language) as an intermediate language, which consists of an operation code set for procedural and object-oriented languages. The existing C++ compilers are used to execute programs after translating them into a target machine code. The downside of this method is its low practicality, along with its platform-dependency. To resolve this matter, we developed a C++ compiler that generates virtual machine codes based on platform-independent stacks that are not target machine codes. This paper presents a decompiler system that converts a C++ compiler generated intermediate language, namely SIL, to a representation of a C++ program. This method optimizes the simulation needed for the generation of exacted SIL code, and a solution that can verify the SIL code generation through a C++ program represented in the decompiler. Furthermore, the ease of extracting the meaning of a program, as opposed to assembly-structured SIL codes, allows much more convenience in changing the software structure and correcting it to improve performance.