Kiwon Yeom

An Artificial Immune System Model for Multi Agents based Resource Discovery in Distributed Environments

From the point of view of information technology the immune system is a highly parallel and distributed intelligent system which has learning, memory, and associative capabilities. Artificial immune system is a novel evolutionary paradigm inspired by the biological aspects of the immune system of mammals. The human immune system has motivated scientists and engineers for finding powerful information processing algorithms that has solved complex engineering tasks. This paper discusses the behavioral management of artificial intelligence namely the intelligent multi agent systems, and the evolutionary computation called the artificial immune system that imitates the biological theory called the immune system. We present how two concepts from the talk are fused into an artificial intelligent agent system for detecting resources in distributed computing environments and examine how our model can be applied and show that the model can solve an intricate problem successfully through the simulation

Touch-Bookmark: a lightweight navigation and bookmarking technique for e-books

The navigation function of an e-book significantly influences its usability. In this paper, we introduce Touch-Bookmark (TB), a multitouch navigation technique for e-books. TB enables users to bookmark a page in a casual manner and return to it quickly when required. Moreover, the users can flip between two remote pages by using simple gestures. In a usability test conducted to evaluate our prototype, users found the technique easy to learn, natural to use, and useful for navigation. Analysis of the patterns of interaction gestures helped identify human factors that should be considered when designing touch interfaces for e-books. The factors include navigation strategies, patterns of interaction gestures, types of books, and motor memory.

A context-aware system in ubiquitous environment: a research guide assistant

The ubiquitous environment is to support people in their everyday life in an inconspicuous and unobtrusive way. This requires that information of the person and her preferences, liking, and habits are available in the ubiquitous system. In this paper, we propose the context aware system that can provide the tailored information service for user in ubiquitous computing environment. The system architecture is composed of 4 domain models that can perform some pre-defined tasks independently. And we suggest the hybrid algorithm combined with fuzzy and Bayesian network to reason what information is suitable for user environment. Finally, the system is applied to RGA (research guide assistant) and the efficiency and usefulness is described

Mobiature: 3D model manipulation technique for large displays using mobile devices

This paper presents Mobiature (mobile miniature), a 3D model manipulation technique for large displays in which mobile devices are used as multimodal controllers. The technique enables the performance of 3D manipulation tasks such as rotation of a 3D model and selection of a particular part of the model. For performing these tasks, we develop a new method to capture the orientation of a mobile device from motion sensor data along with a new noise reduction scheme. The results of our informal usability test reveal that (a) users perceive Mobiature to be an intuitive technique that allows them to perform 3D model manipulation tasks in a convenient manner and (b) using Mobiature is an entertaining experience in itself for the users. This technique can be employed in various applications such as large display appliances (e.g., digital signages, TVs, digital window displays, etc.) and mobile devices (e.g., smartphones, PDAs, etc.) without any additional hardware modifications. Potential fields of application include advertising, entertainment, and information broadcasting.

Artificial morphogenesis for arbitrary shape generation of swarms of multi agents

This paper describes evolutionary morphogenesis to construct an arbitrary structure by swarms of multi-agents which are simple, independent, autonomous modular agents (robots) that can build two-dimensional structures by means of developmental methods. These structures can be exactly matched with arbitrary shape user defined. Agents dose not require any explicit and centralized control, instead using morphological information, which consists of genomes to coordinate their activities. This article describes a very simple genetic encoding and developmental system designed for self-organization of multicellular agents. The morphogenetic evolution system is inspired by gene expression (genetic encoding) and cellular differentiation. Computer simulations shows that the method can generate any arbitrary shape.

Bio-inspired automatic shape formation for swarms of self-reconfigurable modular robots

We present a bio-inspired, self-reconfiguration approach to automatically building user-specified, three-dimensional structures from modular units. In this paper we focus on providing the ability for a multitude of simplistic mobile robots to self-organize their relative positions, thereby, allowing them to arrange into a variety of spatial configurations. We introduce a new mobile molecular robot with polymer or triad interactions acting among individual molecules, taking the responsibilities for embodying its structure and determining where further units can legally be attached and detached. We design a hybrid mechanism for the shape formation. The attachment and detachment of each robot is realized by morphogenetic properties of molecular cells, and the shape formation is controlled by cellular automata. Development of morphological features such as the formation of fine particles, cracks in particles, hollow particles, good or poor replication of the original catalyst particle shape, and the evolution of the porous structure of polymer particle are used as illustrative examples.

Wave touch: educational game on interactive tabletop with water simulation

In this paper, we present an underwater exploration game called Wave Touch, designed specifically for a category of devices known as, interactive tabletops. The game provides users with a fun way to learn about important historical artifacts. An emphasis is placed on making Wave Touch entertaining to the user, a goal which is satisfied through the use of interactive tabletops and realistic water simulation. We also present the techniques we used to enable real-time water simulation effects in the game.

An approach of information extraction from web documents for automatic ontology generation

We examine an automated mechanism, which allows users to access this information in a structured manner by segmenting unformatted text records into structured elements, annotating these documents using XML tags and using specific query processing techniques. This research is the first step to make an automatic ontology generation system. Therefore, we focus on the explanation how we can automatically extract structure when seeded with a small number of training examples. We propose an approach based on Hidden Markov Models to build a powerful probabilistic model that corroborates multiple sources of information including, the sequence of elements, their length distribution, distinguishing words from the vocabulary and an optional external data dictionary. We introduce two different HMM models for information extraction from different sources such as bibliography and Call for Papers documents as a training dataset. The proposed HMM learn to distinguish the fields, and then extract title, authors, conference / journal names, etc. from the text.

Bio-Inspired Self-Reconfigurable Architecture for Mobile Agents in Distributed and Networked Environments

This paper presents an approach to develop and manage self organizing distributed components systems in dynamically changing environments. The main idea of this approach is to construct an application by a dynamic association of bio-inspired modular agents that can migrate and reorganize by themselves while the application is being executed. An association of agents can be migrated and transformed according to agents??? local policies including deployment based on biological processes. We have designed an adaptive architecture, which can reorganize and reconfigure agents after several biological concepts and mechanisms, and implemented a platform to host the architecture on the dynamically changing environments. The agents in the proposed framework are designed based on several biological concepts. This paper depicts several key features of the agents in the framework, and describes the design and implementation of the proposed platform. Several simulation results are presented to examine scalability and efficiency of the platform.

A development of graphical interface for decision making process including real-time consistency evaluation

Decision making problems are often imprecise and changeable because of potential inconsistency in human thinking. Although AHP gives a desirable guide to the reasonable solution via consistency ratio, there is still possibility of containing inconsistence during process. Therefore, an important step in many applications of decision making problems is to perform a consistency analysis in real-time. We introduce a new method of priority setting in decision making processes, which is implemented as an interactive and convenient graphical interface of the decision making problem. It is designed to support the real-time consistency evaluation. The conventional AHP does not provide graphical user interface and is impossible to monitor the interim findings in the middle of process, and is difficult to predict the difference of results when changing pair-wise comparison conditions, and is difficult to monitor the consistency of human judgment during operation. The proposed real-time calculation algorithm and visualization method is developed to realize effective and reliable decision making environment, and is verified its merit through the exemplary case. In addition, we propose new algorithm of evaluating consistency level. The rationality tension is proposed as a new index for evaluating a real-time consistency analysis with interactive graphical user interface. It is desirable for a system to provide fast and visible information of consistency in decision making processes.