B.J. Xiao

CWME: a framework of group support system for emergency responses

As the world becomes more and more interconnected and complex, the emergent events, such as terrorist acts, infectious diseases and natural disasters challenge the rapid response ability of the public and the governments more and more. In general, emergency responses always involve so many complex problems that it beyond the decision capacity of a single person or organization. To meet this challenge, some new approaches of decision support for emergency responses need to be discovered. In this paper, a framework of this type of system, CWME, is introduced. It’s based on the theories for Open Complex Giant Systems[1]. The key point of this system is to synthesize the intelligence of experts, the high performance of computers and data, information to understand the problems comprehensively and to make better decisions.

The data acquisition and control system of EAST ME-SXR diagnostic

A data acquisition and control system has been realized for a Multi-Energy Soft X-Ray (ME-SXR) diagnostic, which has been built for EAST (Experimental Advanced Superconducting Tokamak) electron temperature profile in the edge plasma region. The system has two functions: long-pulse data acquisition and electronics automatic gain-control. It provides 96 high-speed channels with optional sampling rates from 250 KSPS to 1 MSPS, which can long-pulse acquires signals of ME-SXR. In the meanwhile, it transfers the data to the MDSplus server in real-time and users can access to the data during the discharge. The signals from the diode array detectors are in the microampere range, which should be amplified by the electronics with the transimpedance in 8 stages. In the past, electronics gain settings were totally man-control. In order to realize auto-control, it makes data de-noising and calculates appropriate gains, according to the pulse situation and ME-SXRs reference signals in the last shot. The goal of the system is to ensure long-pulse data acquisition and electronics automatic gain-control. The system has been demonstrated in the 2015 EAST campaign. The details are presented in the paper.

Design and implementation of EAST data visualization in VEAST system

The Experimental Advanced Superconductive Tokamak (EAST) Device began operation in 2006. EASTs inner structure is very complicated and contains a lot of subsystems which have a variety of different functions. In order to facilitate the understanding of the device and experimental information and promote the development of the experiment, the virtual EAST system has established an EAST virtual reality scene in which the user can roam and access to information by interacting with the system. However, experiment-related parameter information, diagnostic information and magnetic measurement information are displayed in the form of charts, figures, tables and two dimensional graphics. In order to express the experimental results directly, three-dimensional data visualization results are created using computer graphics technology. Data visualization is the process of visualizing data based on the characteristics of the data, the selection of the appropriate data structure and the proper sequence of visual pipeline. We use the visualization toolkit (VTK) to realize the data visualization in VEAST system and give the detailed steps of data visualization of plasma column, electron cyclotron emission diagnostic and plasma magnetic field. Besides, the general format is defined for the users to organize their data so that they can visualize their data in our system.

The implementation of KTX central control system

KTK is a new reversed field pinch (RFP) device, and the Central Control System (CCS) for KTX is developed to integrate, harmonize and supervise all of the control subsystems. The new control system includes graphical user interface (GUI), discharge process control module, timing system, safety & interlock system, gas injection module and shot information server. The details about the central control system architecture and components will be described in this article.

Cyberspace community analysis and simulation using complex dynamic social networks

Social network analysis (SNA) is the study of social relations among a set of actors. It is an emerging discipline that maps and measures the relationships between people, groups, organizations, computers or other information processing entities. SNA has been widely applied into many areas [1-3].