Jui-Fa Chen

A forwarding model for Voronoi-based Overlay Network

An approach to build highly scalable and robust networked virtual environments (NVEs) is using the peer-to-peer overlay networks. Voronoi-based overlay network (VON) has been proposed to maintain a highly overlay topology consistency in a bandwidth- efficient manner. However, the related research requires all nodes to connect directly with their relevant neighbors. This limits the number of neighbors should appear within the area of interest (AOI) of a given node. A new forwarding model for VON is proposed to solve this problem by connecting only with the nearest neighbors that is called the enclosing neighbors (EN), and propagating the position updates information to other nodes by message forwarding. In this way, the AOI of a given node may be more flexibly expanded and different bandwidth capacities may be more efficiently utilized.

Constructing an intelligent behavior avatar in a virtual world: a self-learning model based on reinforcement

In this paper, a novel method for personal intelligent behavior avatar (IBA) is proposed to acquire autonomous behavior based on the interactions between user and smart objects in the virtual environment. In this method, the behavior decision model and the self-learning model are integrated by Bayesian networks and reinforcement learning. The Bayesian networks can treat interaction experiences using statistical processes, and the sureness of decision making is represented by certainty factors using stochastic reasoning. The reinforcement learning is implemented by learning experimentation or trial and error mechanisms to improve the performance of IBA through feedback. Therefore, the IBA makes a strategic decision that is approximated and appropriate to the user through the self-learning process by reinforcement learning. Finally, the feasibility of this method is investigated by imitating users behavior and the results of self-learning process. The results of simulation show that the method is successful in imitating users behavior and improving the performance of IBA.

Distributed monitoring architecture for movable objects over the GSM system

With the popularity of the network, many applications have been designed to be a distributed system. The more distance for communication, the more hardware and lines for communication are needed. As the GSM has been widely used for telecommunication, it can also be applied to the wireless communication. This paper proposes a wireless monitoring architecture based on the GSM system and takes a car system as a test case. The proposed architecture is divided into three parts. The first is that the data collected from the sensor are sent to the GSM provider by the simulated message of GSM. The second is that the GSM provider processes the received data. To reduce the transmission traffic, a dead-reckoning algorithm is applied to decide whether the process result should be sent to the monitoring center or not. The third is that the monitoring center receives the data which are sending from the GSM provider to give advises to the car driver. With the help of this proposed architecture, a wireless monitoring architecture based on GSM system is verified. In addition, the monitoring center can combine with the GIS to display the car status in an electronic map.

Tool integration in a knowledge abstraction environment

Abstract The productivity of a programmer can be promoted by using multi-vendors CASE tools. The more tools are used, the more complicated communication is needed. The integration of these tools is thus important. This paper describes an architecture named Tool Integration Platform (TIP) to integrate tools in a knowledge abstraction way. TIP is composed of a Control Integration Daemon (CID), a Control Integration Interface (CII) and some Integration Inference Rules (IIR) that are applied by the Integration Inference Engine (IIE). The IIR are stored in a Repisotory and used to deduce tool knowledge dynamically. In this way, many tools can be integrated into a cooperative software environment. To verify this architecture, a number of tools including an editor, a test analyzer, the existing compilers and tracers are integrated into TIP. Finally, a number of compared components are used to assess the TIP with other environments and standards.

A mechanism for solving the sequential inconsistent event in a peer-to-peer network virtual environment

As the prevailing of the Peer-to-Peer (P2P) computation recently, there are many applications had been proposed for P2P Networked Virtual Environment (NVE) However, there are still many problems in the P2P NVE such as event consistency, responsiveness, security, scalability, and reliability ...etc The event consistency can be divided into two problems such as causal and sequential consistency In sequential consistency, when many avatars are competing for a resource and sending the allocating message to the server, who can get the resource? It is very important for these avatars to receive the consistent information This paper proposes an information exchange mechanism to make sure that avatars can receive the event consistent information When avatars are competing for a resource in a P2P NVE, the problem of sequential consistency can be solved by using the ACK packet and priority mechanism.

A Chinese Interactive Feedback System for a Virtual Campus

Considering the popularity of the Internet, an automatic interactive feedback system for Elearning websites is becoming increasingly desirable. However, computers still have problems understanding natural languages, especially the Chinese language, firstly because the Chinese language has no space to segment lexical entries (its segmentation method is more difficult than that of English) and secondly because of the lack of a complete grammar in the Chinese language, making parsing more difficult and complicated. Building an automated Chinese feedback system for special application domains could solve these problems. This paper proposes an interactive feedback mechanism in a virtual campus that can parse, understand and respond to Chinese sentences. This mechanism utilizes a specific lexical database according to the particular application. In this way, a virtual campus website can implement a special application domain that chooses the proper response in a user friendly, accurate and timely manner.

A Six-Directional Static Searching Mechanism in a Distributed Virtual World

Many connected distributed servers, each of them dominates a specific region, can construct a virtual world. In this interactive virtual world, users can connect to one of the servers at any place to access the needed information. This paper proposes two external static search mechanisms to obtain the needed information without passing duplicated commands to all the servers in the virtual world. The search command is passed by agents of the servers, which locations are already set, to decide whether the command is already received or not. In this way, the proposed search mechanisms can achieve three goals. First, the searching results fit the user’s requirement. Second, the needed results provided by servers are bounded by specific conditions. Third, through the agents of servers to avoid passing duplicated command, the network bandwidth is reduced and also promoted the search performance.

A reinforcement self-learning model on an intelligent behavior avatar in a virtual world

In this paper, a novel method for personal intelligent behavior avatar (IBA) is proposed to acquire autonomous behavior based on the interactions between user and smart objects in the virtual environment. In this method, the behavior decision model and the self-learning model are integrated by Bayesian networks and reinforcement learning. The Bayesian networks can treat interaction experiences using statistical processes, and the sureness of decision making is represented by certainty factors using stochastic reasoning. The reinforcement learning is implemented by learning experimentation or trial and error mechanisms to improve the performance of IBA through feedback. Therefore, the IBA makes a strategic decision that is approximated and appropriate to the user through the self-learning process by reinforcement learning. Finally, the feasibility of this method is investigated by imitating users behavior and the results of self-learning process. The results of simulation show that the method is successful in imitating users behavior and improving the performance of IBA

Research And Development On Searching A Routing Path Of A Dynamic Terrain

The research topic of this paper is that how an avatar explores the environment, and find the way out to reach the pre-assigned goal. This proposed system is applied to a dynamicallly changable, continuous and largescaled environment. To deal with the learning in such environment, the proposed system partitions the statespace into regions of states, called cells. By using cells, the states of the system can be reduced in which the number of states grows dramatically increasing in proportion to the number and quality of inputs. Through a series of maniputations of cells, the avatar can adapt itself to the changable environment. By adjusting the peferences of the proposed global-cell, the tendancy of exploration behavior of the avatar can be controlled to explore the potential path caused by the changing environment.

A Chinese automatic interactive feedback system for applying in a website

As the prevailing of internet applications, an automatic interactive feedback facility provided in a website should make it more attractive. There are still some problems for computers to understand the natural language used by people especially for the Chinese language. First, Chinese language has no space to segment the lexical entry. Therefore, the segmentation method of Chinese Language is more difficult than English. Second, the lack of complete grammar for Chinese language makes the parser more difficult and complicated. The difficulty could be solved by building an automatic Chinese feedback system for special application domains. In this paper, an interactive method is proposed to parse and understand the Chinese language. This method utilizes a specific lexical database according to the particular application. In this way, an automatic Chinese interactive feedback system for special domain application is built and also improved the response time and accuracy.