A multi-agent system for online course content management
This paper presents a multiagent system to assist a teacher managing his/her course contents placed on Web servers. In this system there is a set of agents and every agent may work independently from or collaboratively with others. Once generated, an agent can reside in a teacher's daily working computer (called administration host) or a proxy host, and can move between the two hosts. Each agent is devoted to one piece of job and all of them, as a whole, coordinately conduct a sequence of management work during the entire process of teaching a course. A teacher may administrate agents via a specific system shell on his/her administration host, or a usual Web browser on another computer/PDA/mobile phone. The system has been carefully modularized, and thus a new type of agent, if necessary, can be relatively easily developed and quickly incorporated into the system to further enhance or extend its management capability.

title: A P2P Ubiquitous System for Testing Network Programs
abstract: This paper presents design and implementation of a peer-to-peer (P2P) ubiquitous system for assisting a programmer to efficiently test network programs in their development process by using multiple computers simultaneously. This system is implemented using the TOMSCOP (Technology Of Multi-user Synchronous COllaboration Platform). It is a synchronous P2P collaboration platform built atop the JXTA technology. JXTA is a set of protocols for developing P2P shared applications, and enables peers to find each other, form groups and exchange messages across firewalls and NATs. This system has the following three main features. Firstly, it enables the program source files being shared among peers. Secondly, a user is able to simultaneously compile, execute and stop network programs of all peers in a same group by simple operations on the system GUI. Lastly, due to using Java and JXTA technology, the system can run on any platform.

title: A Web-Based Teacher Assisting Agent System
abstract: In the conventional teaching, teaching assistances (TAs) play importance roles in supporting a teacher’s teaching activities. This paper presents a Web-based teacher assisting agent system in which a set of automated programs, so called agents in this context, is developed. It is described that how the agents are generated, where they reside, and how they work independently or collaborate with each other to assist a teacher. It is emphasized that a later developed working agent can be easily incorporated into the system under the developed system framework. It is addressed that both agent persistency and mobility in the system can be achieved by the proposed mechanisms.

title: An Optimal Node Selection Scheme in Multi-hop Wireless Network
abstract: In this paper, a cooperative wireless multi-hop network is considered, cooperative diversity can be realized by allowing nodes close proximity to cooperate in transmission. In order to group receiver nodes into a cluster, it is necessary to select appropriate nodes. We introduce an optimal node selection algorithm based on MIMO antenna selection, this algorithm, combining with cooperative transmission strategy, gives an optimal node selection algorithm using convex optimization theory. Theoretical analysis and simulation indicate that this scheme can give good performance of maximizing the channel capacity through optimal node selection.

title: A Real Trading Model based Price Negotiation Agents
abstract: Sim proposed a market-driven negotiation agent model that makes adjustable amounts of concession by reacting to different market situations and trading constraints, and it was improved with an enhanced market-driven strategy by taking opponent eagerness into consideration. In both Sim's original model and improved model, however, it was implied that a negotiation agent has same behaviors and actions to all trading partners referring to a same trading issue. It is not quite true in a real world trading negotiation. Based on both models, this paper proposes a real trading model based price negotiation agents that take each trading partner as an individual with different strategies and actions. Moreover, negotiation actions between a negotiation agent and a trading partner are kept in secret and unknown to others

title: GRAM - a P2P system of group revision assistance management
abstract: This paper focuses on general design and prototype implementation of a peer-to-peer (P2P) and a proactive mechanism based version management system called GRAM (group revision assistance management). It provides four special features in comparison with other version management systems: higher system reliability and robustness, effective revision collision prevention using proactive agents, context-aware environment for team software revision, a unified XML format for configuration and history files as well as system and agent exchange messages. Every peer holds a shared space synchronized with other peers' ones, and a workspace for a user's ordinary editing. GRAM is implemented using the JXTA technology that consists of the virtual JXTA network and basic peer group services. The system GUI and basic functions in the current prototype are also presented to show its basic usages. By using GRAM, version management of various software development projects can be comfortably conducted.

title: A principled approach for formative Web learning assessment and adaptive tutoring
abstract: Web based distance learning is a trend of instruction delivery. One of the most difficult challenges of such a learning mechanism is the assessment of students' learning criteria. It is hard to judge the behavior of a student since the instructor is separated spatially and temporally from the students. However, it is possible to rely on some Web based tools to keep track of a student's course attendance, as well as the navigation behavior of that student. In addition, the navigation behavior of an individual can be compared to those of others. Analysis can be conducted, and an interactive tutorial can be generated to assist the student with a poor score. The paper proposes such a mechanism, as well as its supporting system run on Windows browsers.

title: Simplex Memory Neural Networks
abstract: The biological neural network-simplex memory neural network-is proposed to describe the mechanisms of pattern memory in the brain. A mathematical model of the simplex memory neural network is constructed to memorize any binary pattern with content-addressable memory function. Under Hebbian learning rule, the new network has some important functions in accord with the learning and memory behaviors of the brain.