Advanced Materials Research Vols. 765-767

Abstract: Aspect-Oriented Software Architecture (AOA) is a high-level abstraction and integration blueprint of aspectual component-based software. A semantic model of aspectual component-based software is proposed to provide behavior description and semantic foundation for the consistency verification of software architecture dynamic evolution. By using the semantic model of Pi-calculus, a set of the consistency verification methods of dynamic evolution from multiple aspects are introduced. Finally, a case study shows the effect of these methods.

Abstract: An innovative asymmetric binary frequency shift keying (ABFSK) modulation format is presented and studied both in the time domain and frequency domain. First, the modulation function is demonstrated, it shows a quasi-continuous phase attribute and an ability of high speed data modulation. Second, the domain attribute is studied; it has a high degree of energy centralization. Thus, a narrow occupied bandwidth can be achieved after a proper filtering. Then, the finite spectrum can be conserved to improve spectrum efficiency.

Abstract: Ontology plays a dominant role in a growing number of different fields, such as information retrieval, artificial intelligence, semantic Web and knowledge management, etc. However, manual construction of large ontology is not feasible. This article discusses how to create Financial Ontology automatically from a resource of Chinese Encyclopedia. Financial Ontology includes Is-A relationship, Class-Instance relationship, Attribute-of relationship and Synonym relationship. Experimental Results show us that the constructed Financial Ontology has great advantages in the large scale, creation cost and the richness of semantic information.

Abstract: attack automatic feature extraction technology is an important research of network security technology. From the network present situation research proceed with, to attack the automatic feature extraction technology for definition and classifycation, and for each category of technology are introduced in detail, and presents several attacks of automatic feature extraction technology, finally to present these technical deficiencies and the possible development trend are discussed.

Abstract: With the increasing requirement in software quality, the importance of software testing in the project implementation process is growing. In order to ensure the smooth progress of the test work, it is necessary to be effective in managing it, so software enterprises are in a grave need of an efficient and practical software test management platform. CMM is a method for evaluating software contracting capacity to help improve software quality, focusing on the elevation and evaluation of management and engineering capabilities in the software development process. This study, on the basis of research of CMM model, the software testing process and the need of company's software testing management, designed a CMM-based software testing management platform. The model consists of six functional modules, including requirements management, test case management, test running management, the test defect management, the test task management, workload management. The improved features contain test milestone management, test result analysis and supporting testing automation. The functions of e-mail alert, defect report discussion records and custom defect status are also included. Eight kinds of staff roles are involved.

Abstract: In order to meet the special needs of military applications, network users were classified according to characteristics of users and a hierarchical behavior-controllable P2P network topology construction was designed. In the new construction, different information has different circulation range and the survivability and expansion characteristics of the P2P network were made full use.

Abstract: Nowadays, Internet of Things (IoT) has been becoming a hot research topic. Being an important part of Internet of Things, the wireless sensor networks collect various types of environmental data and construct the fundamental structure of the IoT applications. In order to find out the characteristics of the environmental data, in this paper, we focus on four types of these sensor data: temperature, humidity, light and voltage, and employ statistical methods to analyze and model these sensor data. The results of our research can be used to solve the missing sensor data estimation problem which is inevitable in the wireless sensor networks.

Abstract: This paper studies the development trend of intelligent mobile phone, confirmed the necessity of research on intelligent mobile phone malicious code. Study on the detection technology, proposed intelligent mobile phone regular networks and random networks based on malicious code propagation model, propagation mechanism is studied. Set up a perfect malicious code discovery and defense system model, at different levels is put forward that different, prove the necessity of scanning algorithm and Semantic Detection Algorithm for eigenvalue. To improve the security of the whole communication network.

Abstract: With the cloud computing time arrival, spatial data storage and management technology based on cloud computing are getting more extensive attention and application. But under the cloud environment, how to ensure that the data stored in the cloud security will be a serious challenge. This paper introduces the meaning characteristics and development present situation of cloud computing, and gives the analysis about the advantage of using cloud computing technology to spatial data management. The paper puts forward a spatial data security management model under the cloud environment, and summarizes the key security technologies of the spatial data storage and management.

Abstract: The information management is a crucial mission for a virtual industry in such a competitive market environment. The typical characteristic of information management is distribution, autonomy and co-operation. Based on an on-going ESPRIT project (X-CITTIC), The author presents a distributed information management architecture for production planning and control in a virtual enterprises of semiconductor manufacturing. Object technologies are widely used in its design and implementation. A detailed structure of the components in the architecture, called information managers, is also suggested and introduced. Each information manager has three elements: a data object server, a database and a group of meta-objects. The information management can provide not only basic services (e.g. read and write) but also advanced services (e.g. notification, security control, subscription and data sending). Finally the present X-CITTIC information management system is detailed introduced.