With the incessant expansion of applications and the frequent update of the software, Science Gateway for Massive Remote Sensing Image Processing (SGMRSIP), developed by client/server model or traditional browser/server model, has received more and more challenges. Fortunately, the Web 2.0 technologies, proposed in recent years, bring us a new user experience (UE) that has a fast response speed and a good interface. In particular, the remote sensing image can be processed smoothly in the absence of client software by Web 2.0 technologies. Hence, a Web 2.0-based browser/server model is designed for SGMRSIP to enhance the UE in this paper. Firstly, functions of a parallel remote sensing image processing portal, based on high performance cluster and client/server model, are summarized. And then, a Web 2.0-based interaction model is built, and all these functions are accomplished again on the basis of this model. Finally, the Web 2.0-based Science Gateway is achieved. In addition, we design different workflows for different satellite data, and all the processing tasks are finished successfully to verify the feasibility of this Science Gateway. The experimental results showed that the software scalability and interaction were improved and a better UE was achieved, compared with the existing SGMRSIP. Copyright (c) 2013 John Wiley & Sons, Ltd.

A Web 2.0‐based science gateway for massive remote sensing image processing

The concept of a regional information-analytical system for emergency situations is presented. The three-level architecture of such a system and the functions of its main components are described. A generalized model for assessing plans for eliminating the consequences of emergencies is described. The goals and peculiarities of the structural modules for the regional information and analytical system for the prevention and elimination of emergencies are detailed; some examples of the implementation of local subsystems for Ukraine are considered.

The Concept of a Regional Information-Analytical System for Emergency Situations

To increase the speed and efficiency of expressways construction, information management is being gradually introduced into the construction process. However, progress is limited due to the complexity of expressway engineering and application limitations of information technology. Design and delivery are still dominated by paper files, and the management of test and inspection data is still relatively extensive. Research to date into digital expressway construction has been piecemeal and fragmented with a lack of research related to the whole construction process and a data-centric information management system yet to be realized. In response, through literature research and semi-structured interviews, the framework of a data-driven digital whole-process highway construction management platform was determined. A whole process management platform was established according to the framework, and the functional application of the proposed platform was explained through a case. The framework is proposed from the perspective of the whole process of collaborative sharing., which provides a new way of thinking to solve the problems existing in the current field of expressway construction whole-process management. It also provides data-centric management, electronic design and delivery, a refined workflow, and an efficient management process.

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Data-Driven Platform Framework for Digital Whole-Process Expressway Construction Management

Response and decision-making support in expressway emergency management and rescue greatly affects some key factors like emergency rescue plan, emergency duration time, effect range, economy and time loss Experts system is a kind of intelligent program, using knowledge and reasoning to solve the complex problem that only experts can work out, it is a popular and efficient decision-support means, has some practical features that manual way cannot compare with and offers a modem scientific measure in incident management Expert system can provide high-efficiency, rapid, exact and powerful assistance in decision support In order to deal with various possible emergencies promptly and efficiently and therefore ensure the safety and unblocked state of the expressway, develop the expert system has become a trend of emergency rescue and management In expert system,The knowledge representation is the key basic issues has the important influence to construction of the knowledge base and the reasoning of the expert system So there has the practical significance to further research on knowledge representation of expressway accident management system, According to features of different knowledge, in exsiting expert systems different knowledge representation methods were adopted such as frame, production rule, procedure, first-order predicate logic, etc This paper focus on the ontology’s application in the field of expressway emergency rescue and propose a expressway event managemnet expert system based on ontology and rule reasoning

Expressway Event Management Expert System Based on Ontology and Rule Reasoning

With the rapid increase in expressway mileage, accidents and casualties are increasing frequently. Expressway construction in China starts later than developed countries and lack of mature and comprehensive emergency rescue systems. There are some limitations in accident rescue process and information processing such as low coordination level between multi departments and low level of information communication and sharing. An expressway emergency rescue information management system (EERIMS) using Browser/Server framework is developed, the organizational system and rescue process of the provincial expressway system are analyzed, system design, main functional modules and technical points are described. A Case study indicates that it can improve processing and analysis capabilities of the emergency rescue information, enhance communication and sharing between departments and reduce the burden of managers.

Lei Song

Papers

Construction of expressway emergency rescue information management system using Browser/Server framework

Expressway Event Management Expert System Based on Ontology and Rule Reasoning