Advanced Materials Research Vols. 998-999

Abstract: It is very important to build model by data mining algorithm of spatial data under large data environment using spatial and temporal co-occurrence pattern, analysis is conducted in view of existing Time Aggregate Graph spatial and temporal co-occurrence pattern, mining efficiency improvement is obtained, an improved spatial and temporal co-occurrence pattern is proposed, the improved model is verified to increase efficiency by instances.

Abstract: Electronic document is presented in the form of data table through applying characterization and discrete processing method to its type, size, MD5 value etc. A duplication removal model for documentation is constructed by using information entropy based decision tree classification technique. Simple experiments are carried out that show that the proposed model is feasible to a certain degree and can achieve documentation’s duplication removal to a certain extent.

Abstract: Distributed file systems are emerging as a key component of large scale cloud storage platform due to the continuous growth of the amount of application data. Performance modeling and analysis is an important concern in the distributed file system area. This paper focuses on the performance prediction and modeling issues. An adaptive prediction model (APModel) is proposed to predict the performance of distributed file systems by capturing the performance correlation of different performance factors. We perform a series of experiments to validate the proposed prediction model. The experiment results indicate our proposed approach can get better prediction accuracy. It is practical and can achieve sufficient performance analysis for distributed file systems.

Abstract: Urban rail transit network is a special complex kind of network, The lines and nodes' layout determine the entire network's features. This paper analyzes the topologic properties, degree distribution, average path length and robustness of Beijing subway network by matlab and it also analyzes the evolution of Beijing subway network, which can be worked for the future development of urban subway network planning and construction.

Abstract: This article introduces the services and development of the Internet of Things, and analyzes the application of Health Information System in Community Residents Based on the Internet of Things. The Internet of things has particularly novel implications in the area of public health. This is due to (1) The rapid and widespread adoption of powerful contemporary Smartphone's; (2) The increasing availability and use of health and fitness sensors, wearable sensor patches, smart watches, wireless-enabled digital tattoos and ambient sensors; and (3) The nature of public health to implicitly involve connectivity with and the acquisition of data in relation to large numbers of individuals up to population scale. Of particular relevance in relation to the Internet of Things and public health is the need for privacy and anonymity of users. It should be noted that Internet of Things capabilities are not inconsistent with maintaining privacy, due to the focus of public health on aggregate data not individual data and broad public health interventions.

Abstract: This article introduces the services and development of the Internet of Things, and analyzes the driving forces and obstacles behind such development. Looking at application types and the different development stages of the Internet of Things, this article categorizes its services into four types: identity related services, information aggregation services, collaborative-aware services, and ubiquitous services. For the first two types of services, applications and system framework are discussed; for the last two types, development trends are discussed. Services provided by the Internet of Things will gradually be integrated into human life and society; with the development of the Internet of Things, applications will evolve from relatively simple identity-related and information aggregation-related applications, to collaboratively-aware and finally ubiquitous applications. It will then be possible for the Internet of Things to be fully integrated with Internet and telecommunications networks

Abstract: Cloud computing is mainly studied and applied in data-intensive industries. It is rarely seen in the medical industry, though it is the most representative one of data-intensive industries and closely related to people's lives. There is no medical data interaction platform of cloud computing. This paper introduces the framework of cloud computing data interaction platform for the new rural cooperative medical care system (NCSM), which will allow for NCMS data interaction on this interactive platform.

Abstract: For vocational colleges, talent is the key to their development and efficient human resource administration is the power to move the college forward. As a vocational college, how to administrate its staff according to its own characteristics has always been the emphasis of the college. In vocational colleges, human resources can be comparatively complicated and there is great fluency in their staff and there is a great variety of the period of teaching and rewards among all the staff. To the human resources department, some traditional file administration system cannot satisfy the current vocational college human resources information administration. It is very important to use modern information technologies to build a scientific and efficient human resources management system for vocational colleges. In this paper, we present the design and implementation of the management system combining with advanced database technology.

Abstract: The vertical profiles along the coast are indispensable to research in coastal dynamic and Marine-topography evolution, but there is no perfect method to make them in rapid and batched way. This paper presents a feasible process to make it, there, Golden software surfer11.0 generates grid files by its scripter program, and then the files are called in VBA of EXCEL2003 to plotting the profiles. The process runs effectively in the physical model for the nourishment project of beach in Beidaihe New Area, it also makes a promotion in the report writing and data analysis. The result shows that the method is practicable.

Abstract: This paper proposes a node localization algorithm based on super chondritic calculation, super chondritic calculation scanning of a training set is able to complete the training process, the training has characteristics of fast, the problem of node localization for wireless sensor networks. Firstly, according to the related parameter information for the location of wireless sensor nodes, a multi input, multi output problem of training set, and then through the methods of grid division, location area, the original training set into the classification of multi input, single output training set, the super chondritic algorithm by scanning training, in order to get the relevant parameters, and the estimation of the unknown node location. Simulation results show that the proposed algorithm has better positioning accuracy.