Catálogo de publicaciones - libros

A main nature of ad hoc mobile networks is frequent change on their topology that is the source of many problems to be solved. AODV is an on-demand routing protocol for decreasing maintenance overhead on ad hoc networks. But some path breaks can cause significant overhead and transmission delays. If the maintenance overhead of routing table can be reduced, table-driven routing methods could be an efficient substitution. In this paper, we propose a knowledge discovery agent for an effective routing method that is using the simple bit-map topology information. The agent node gathers topology knowledge and creates topology bit-map information. All paths for source to destination can easily be calculated by the bit-map. All the other nodes on the network maintain the bit-map distributed from agent and uses it for routing. Correctness of the proposed agent method is verified by computer simulations.

In this paper, we suggested a mobile collaboration framework based on distributed object group framework (DOGF). This paper focuses on the use of this framework to support mobile collaboration. Therefore, we improved the existing work and apply it to the construction of u-healthcare agent services. For supporting mobile collaboration, we divided into two agent types such as the stationary and the moving-typed agents according to the function of mobile devices. The data collected by sensors attached on arbitrary spaces can be shared by 2-typed agents or a home server, and exchanged with each other using the Push and Pull methods. For managing this information, the DOGF provides functions of object group management, storing information and security services to our mobile collaboration framework via defined application interfaces. The agent for executing service functions of mobile devices and an integrated monitoring system on home server are implemented by using TMO scheme. And we used the TMOSM for interactions between distributed components. Finally, we showed via GUI the executablility of healthcare application supporting for medical work in hospitals on our mobile collaboration framework.

Mobile agent technology is growing to be an important research topic both in institutions and enterprises. In recent years, RFID middleware technology gains great attentions and load balancing is an important technique to achieve high performance for RFID middlewares. In this paper, we propose an approach to load balancing for RFID middlewares based on Mobile Agent System. Two agents, LGA and RLBA, are designed. LGA is used to gather global workload of RFID middlewares, and RLBA executes load balancing process in case of overloading. This approach fully employed the merits of mobile agent system and provides a scalable and flexible approach to load balancing for RFID middlewares.

This research is intended to design agent for the security requirement to estimate by empirical study. This paper is intended to help the design agent and progress management based on the ISO/IEC 15408. There are many defects that cause the security requirement problems during the web development. This paper remove the risk of the lifecycle and progress management that check the risk items in the web security requirements and also manage the schedule and quality problems. For projects in similar domains, it is possible to remove security risk items and to manage progress by using agent web security lifecycle and progress milestone, which can greatly improve the software process. The analysis is made based on the types required for making use of the defect data. In this case, additional measures must be taken besides merely recording defects. And the theory is apply to the agent web security access control system for the security requirement.

As the Internet sites and users have rapidly been increased, the development for search engines has also been accelerated to satisfy users’ expectations. As the result, not only the action of collecting documents through many search engines gave hosts workload, but also regular updating all the information is needed since information is newly added. With any circumstances, the necessity of the technology to collect massive information in hosts has been increased for the speed which is a basic requisite of search systems, and for more accurate collection of documents. Also, the role of search engines grows the bigger for Internet users’ various demands and flexible process through World Wide Web. In this paper, we design and implement an intelligent robot agent and a remote control system which doesn’t give an excessive workload on a target server and makes the collection of documents done in a short period by considering an average workload rate on the target server and the rate of the workload that a robot experience in collection time, after we compare and analyze the existing Robot Agent Systems and supplement their weak points.

A multi-agent system is a network individual agent that work together to achieve a goal through communication and collaboration among each other. Standardized infrastructure for information or knowledge sharing is required to make autonomous agents interdependent on each other for effective collaboration in a multi-agent system. In order to enhance productivity of knowledge workers knowledge management tools should support collaborative environments among desktop, web, and even mobile devices. The Semantic Web is the place where software agents perform various intelligent tasks using standard knowledge representational schemes that are named “ontologies.” This paper presents a conceptual framework of the social knowledge activities and knowledge processes with regard to the social software agents. Our prototype, called WANT, is a wiki-based semantic tagging system for collaborative and communicative knowledge creation and maintenance by a human or software agent. It can be supported in both desktop and mobile environments.

This paper presents a parallel and distributed approach to ensemble learning of Fuzzy ARTMAP classifiers based on the multi-agent platform. Neural networks have been used successfully in a broad range of non-linear problems that are difficult to solve using traditional techniques. Training a neural network for practical applications is often time consuming thus extensive research work is being carried out to accelerate this process. Fuzzy ARTMAP (FAM) is one of the fastest neural network architectures given its ability to produce neurons on demand to represent new classification categories. FAM can adapt to the input data without having to specify an arbitrary structure. However, FAM is vulnerable to noisy data which can rapidly degrade network performance. Due to its fast learning features, FAM is sensitive to the sequence of input sample presentations. In this paper we propose a parallel and distributed approach to ensemble learning for FAM networks as a means to improve the over-all performance of the classifier and increase its resilience to noisy data. We use the multi-agent platform to distribute the computational load of the ensemble to several hosts. The multi-agent platform is a robust environment that can support large-scale neural network ensembles. Our approach also demonstrates the feasibility of large-scale ensembles. The experimental results show that ensemble learning substantially improved the performance of fuzzy ARTMAP classifiers.

The emerging technology in vehicle telematics encourage stakeholders to consider services that can be beneficial to both clients and the telematics service providers. This paper proposes a novel framework for insurance telematics in Korea using a mobile aggregation agent (AA) and data mining agent (DA). To our knowledge, this model is recent of its kind in this country and the baseline information from driver’s characteristics serves as reference for the flexible insurance policies. We are able to present a use-case scenario and examples to demonstrate our model. With this flexible insurance framework, customers can manage their own insurance premiums and lower the cost of motoring. This framework is perceived to have promising applications ranging from academic to industrial uses.

The IPR(Intellectual Property Rights) system plays a core role in the development of information society in the 21st century as it did in the birth and growth of previous industrial society. The IPR system and technology for the extended software source code from digital contents are very significant to enhance international competitiveness. A problem happens if the original software source code is made public at dispute on its ownership. This study has suggested the Business model and comparasion of S/W source code vs. Digital License to protect the copyright infringement and technique leakage caused by its opening. We can prevent IPRs violation if index and search technology of digital license attached to mobile agents.

Most of current Linux systems have package management tools which provide the easy way - installing, updating, and removing - without compiling source code within package-based Linux systems. However, any of package management tools does not provide a network-based management mechanism because the tools are only designed for the sole Linux system, not for multiple Linux systems managed in a large management domain. Thus, in this paper, we propose a private-mib to manage package-based Linux systems, called PKG-MIB. With PKG-MIB, an administrator would efficiently manage package-based Linux systems in a large scale management domain by Simple Network Management Protocol (SNMP). According to the result of performance evaluation of implementation, a Linux system with PKG-MIB reduces the cost for package management up to 8 times compared to a normal Linux system.