Catálogo de publicaciones - libros

In the past, computer forensics was only used by means of investigation. However, nowadays, due to the sharp increase of awareness of computer security, computer forensics becomes very significant even to the nonprofessionals, and it needs inference as well as the integrity and reliability of the procedure. In this paper, we describe the inference rules using Fuzzy Petri Nets and adapt the collected data in a compromised system to a proposition for inference of the intrusion information. The inferred results are expressed as formalized 5W1H format. The COMFEX(COMputer Forensic EXpert system) is inferable, even if the data is damaged in certain section, and the inference function of uncertainty is improved. This is useful to a system administrator who has weak analyzing ability of hacking, and it has improved capacity of managing the system security.

Massive Multiplayer Online Role-Playing Games (MMO- RPG) increasingly become places of social engagement, by providing spaces for social interaction and relationship beyond home and workplace. The center of this is the virtual environment, in which players interact. Today’s savvy players are demanding progressive, more playable and navigable game environments. Traditional methods of the game map evaluation, though reliable, do not offer a quantitative measure of players’ discomfort and efficiency. This paper introduces a complementary method of the MMORPG map evaluation by utilizing pedestrian agents. The agents employ calculable measures of walking efficiency and discomfort, providing objective criteria, against which the game maps are evaluated. Thus, they promote social interaction by improving the space wherein the players interact.

The purpose of this study is to (1) develop an analytic framework to systematically code the players’ cognitive process during Massively Multiplayer Online Role-Playing Game (MMORPG) gameplay, and (2) to empirically explore the players’ cognitive process. To construct the analytical framework of MMORPG gameplay, previous studies regarding gameplay and problem solving theory are reviewed. The specific gameplay actions and contents are derived by using a concurrent protocol analysis method. Consequently, gameplay actions are categorized into kinematics, perception, function, representation, methodology, and simulation. A new framework suitable for MMORPG gameplay is built. In order to study the players’ cognitive process, the empirical experiment is executed during MMORPG gameplay. As a result of this study, we find a new problem space in the methodological scheme of gameplay. This study concludes with a number of key implications for game design in order to improve the quality of future gaming products.

This paper describes the limiting factors for building a virtual Telematics center which integrates ITS (Intelligent Transportation Systems) information collected by the system of each of the three government agencies. It also provides some details into how some of the obstacles and barriers can be solved such as data standardization, system mechanisms and regulations. There are very few papers and case studies regarding real problems and solutions for integrating systems of different organizations in general, and Telematics, in particular. The processes and outcomes of implementing systems in this study can be useful to develop other ITS and Telematics systems.

This paper proposes a real-time traveler information system (RTIS) for estimating current travel times using automatic vehicle identification (AVI) data in Hong Kong. The current travel times, in RTIS, are estimated by real-time AVI data, the off-line travel time estimates and the related variance-covariance relationships between road links. The real-time AVI data adopted for RTIS are Autotoll tag data in Hong Kong; whereas the off-line link travel time estimates and their variance-covariance matrices are obtained from a traffic flow simulator. On the basis of integration of these real-time and off-line traffic data, the current traffic conditions on Hong Kong major roads can be estimated at five-minute intervals. A case study is carried out in Kowloon Central urban area to collect observed data for validation of the results of the proposed RTIS.

Ubiquitous computing technologies are becoming increasingly a part of our daily lives. For example, in the ubiquitous home environments, plenty of context information can be obtained from various home sensors, and this information can be exploited for smart home activities. This paper presents a new elevator scheduling system for smart apartment buildings that exploits the ubiquitous sensor technologies. In the proposed elevator scheduling system, floor sensors are located at each floor of the apartment building and detect the candidate elevator passengers’ behavior before they come to the elevator door and push the elevator call button. The detected information is then delivered to the elevator scheduling system through the building network and the elevator scheduling system utilizes this information in the efficient control of the elevator. Through extensive simulations with various passengers’ traffic conditions, we show that the proposed system performs better than the conventional elevator scheduling system in terms of the passengers’ average waiting time, the maximum waiting time, and the energy consumption of the elevator significantly.

While there have been many home networking technologies such as UPnP and INSTEON, appliances supporting different home networking technologies cannot collaborate to finish Home Automation (HA). Although many studies of interoperability among home networking technologies have been done, researches on further HA in heterogeneous environments are still lacking. This paper proposes the MOM-based Home Automation Platform (MHAP), which accomplishes event-driven HA in incompatible home networks. MHAP is independent of any home networking technology and integrates home networking technologies in the home gateway. For users, MHAP provides the easy-to-use and standardized way to configure complex HA scenarios by rules. Through introducing Message Oriented Middleware (MOM) and Open Service Gateway Initiative (OSGi), MHAP offers reliable automatic operations, fault tolerant and reconfigurable HA, high extensibility and large scalable collaboration among appliances, other MHAP gateways and Internet services.

This paper presents the design of an error sharing agent for multimedia collaboration environment which is running on RCSM. RCSM means Reconfigurable Context-Sensitive Middleware. RCSM provides an object-based framework for supporting context-sensitive applications. It has other services in optional components. A good example of other services in RCSM is a distance education system for multimedia collaboration environment. We propose an adaptive error hooking agent based on a hybrid software architecture CARV(Centralized Abstraction and Replicated View). This system can be automatically enforced according to different situations such as wired or wireless network environment.

In Next Generation Home network Environment (NGHE), multimedia service will be a key concept of advanced intelligent and secure services which are different from the existing ones. In this paper, we propose a Hybrid Intelligent Multimedia Service Framework (HIMSF) which is mixed with application technologies like intelligent home Infrastructure or multimedia protection management through the ubiquitous sensor network based technology to provide a proper multimedia service suitable for NGHE. The proposed framework provides an inter-operability among heterogeneous equipments regarding home network appliances like wireless devices, electronic appliances, PC. In addition, it provides adaptive application services.

It is important to understand and to provide a rationale for the actions of users in financial markets. Simulations of artificial financial markets are one means by which to address these needs, and this paper describes how to integrate the technique of text mining with a simulation of an artificial financial market to enhance the value and usefulness of the simulation. The procedure that is proposed consists of extracting the economic trends from the text data that is circulating in the real world and to input these economic trends into the market simulation. We show how this was experimentally tested as a decision support system for an exchange rate policy and how it suggested that the applied combination of interest rate and intervention operations was effective for stabilization of the yen-dollar rate in 1994 and 1995.