Communication Principle of Literature Database Based on Spatial and Temporal Segmentation Technology

2014 ◽  
Vol 543-547 ◽  
pp. 2418-2421
Author(s):  
Yong Wang
Keyword(s):  
High Performance ◽  
Database System ◽  
Lake Area ◽  
Temporal Segmentation ◽  
New Town ◽  
Database Construction ◽  
Poyang Lake Area ◽  
The Mathematical Model ◽  
And Storage ◽  
Computer Resources

In this paper we introduce cross tree and block mathematical principles into the design of database system, divide the time sequence and storage space of computer database system, establish the mathematical model and algorithm of computer resources database system, and design the test database system. In this paper, we use high performance interface of Display Port, by way of coupling to communicate on two port control, and use RHEL 6.2 Linux virtual machine to do simulation experiment on process of database system. Through the simulation we find the API which is called by Read, Close, Mmap, Stat, Fstat is similar. It is consistent with the actual situation, and verifies the reliability of the program. Finally, we apply the database system to the network database construction of sports literature resources in the new town of Poyang Lake area. It reaches the effect that sport resources are shared by all. It provides technical support for the application of computer database system.

Controllable Synthesis of Ultrathin Layered Transition Metallic Hydroxide/Zeolitic Imidazolate Framework-67 Hybrid Nanosheets for High-Performance Supercapacitors

2021 ◽  
Author(s):  
Chunli Liu ◽  
Yang Bai ◽  
Ji Wang ◽  
Ziming Qiu ◽  
Huan Pang
Keyword(s):  
Charge Transfer ◽  
Energy Conversion ◽  
High Performance ◽  
2D Materials ◽  
Two Dimensional ◽  
Controllable Synthesis ◽  
Zeolitic Imidazolate Framework ◽  
Fast Charge ◽  
Energy Conversion And Storage ◽  
And Storage

Two-dimensional (2D) materials with structures having diverse features are promising for application in energy conversion and storage. A stronger layered orientation can guarantee fast charge transfer along the 2D planes...

Influence of Tooth Errors and Truing Principles of Grinding Wheel Abrasion for Machining Arc Enveloping Worm

2013 ◽  
Vol 652-654 ◽  
pp. 2153-2158
Author(s):  
Wu Ji Jiang ◽  
Jing Wei
Keyword(s):  
Mathematical Model ◽  
Case Studies ◽  
High Precision ◽  
High Performance ◽  
New Method ◽  
Grinding Wheel ◽  
Grinding Process ◽  
The Mathematical Model

Controlling the tooth errors induced by the variation of diameter of grinding wheel is the key problem in the process of ZC1 worm grinding. In this paper, the influence of tooth errors by d1, m and z1 as the grinding wheel diameter changes are analyzed based on the mathematical model of the grinding process. A new mathematical model and truing principle for the grinding wheel of ZC1 worm is presented. The shape grinding wheel truing of ZC1 worm is carried out according to the model. The validity and feasibility of the mathematical model is proved by case studies. The mathematical model presented in this paper provides a new method for reducing the tooth errors of ZC1 worm and it can meet the high-performance and high-precision requirements of ZC1 worm grinding.

Massive Image Treatment System Based on Cloud Computing Platform

2014 ◽  
Vol 687-691 ◽  
pp. 3733-3737
Author(s):  
Dan Wu ◽  
Ming Quan Zhou ◽  
Rong Fang Bie
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
High Performance ◽  
Large Scale ◽  
Processing System ◽  
Virtual Space ◽  
Image Processing System ◽  
Computing Platform ◽  
Simulation Calculation ◽  
Computer Resources

Massive image processing technology requires high requirements of processor and memory, and it needs to adopt high performance of processor and the large capacity memory. While the single or single core processing and traditional memory can’t satisfy the need of image processing. This paper introduces the cloud computing function into the massive image processing system. Through the cloud computing function it expands the virtual space of the system, saves computer resources and improves the efficiency of image processing. The system processor uses multi-core DSP parallel processor, and develops visualization parameter setting window and output results using VC software settings. Through simulation calculation we get the image processing speed curve and the system image adaptive curve. It provides the technical reference for the design of large-scale image processing system.

Experimental Research on High Performance Concrete under Drying-Wetting Cycles in Saline-Lake Environment

2011 ◽  
Vol 368-373 ◽  
pp. 1561-1565
Author(s):  
Wei Kong ◽  
Yi Hong Wang ◽  
Gang Zhou ◽  
Tian Hua Li
Keyword(s):  
High Performance ◽  
High Performance Concrete ◽  
Saline Lake ◽  
Salt Lake ◽  
Concrete Structures ◽  
Lake Area ◽  
Corrosion Performance ◽  
Dual Action ◽  
Corrosion Problem ◽  
Single Factor Experiment

Aiming at the corrosion problem of concrete structure of bridges in Chaerhan salt lake area, the paper puts forward a new method of using multi-defense lines against salt erosion, helpful to improve the durability of concrete structures. Single factor experiment of salt erosion and a dual-action experiment of salt erosion and drying-wetting cycles were conducted, using 3 kinds of concrete specimens, including simple high performance concrete (HPC), HPC coated with waterproof material outside and HPC mixed with waterproof material. Results of experiments show that high performance concrete prepared in the experiments has good anti-corrosion performance. Moreover, HPC with multi-defense lines application effectively delays salt erosion to concrete, and lengthens service life of concrete structures in saline-lake environment.

scholarly journals META-pipe cloud setup and execution

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 2060
Author(s):  
Aleksandr Agafonov ◽  
Kimmo Mattila ◽  
Cuong Duong Tuan ◽  
Lars Tiede ◽  
Inge Alexander Raknes ◽  
...  
Keyword(s):  
Functional Annotation ◽  
High Performance ◽  
Sequence Data ◽  
Metagenomic Data ◽  
Taxonomic Profiling ◽  
Geographically Distributed ◽  
Computationally Intensive ◽  
High Performance Computing Cluster ◽  
And Storage ◽  
Performance Computing

META-pipe is a complete service for the analysis of marine metagenomic data. It provides assembly of high-throughput sequence data, functional annotation of predicted genes, and taxonomic profiling. The functional annotation is computationally demanding and is therefore currently run on a high-performance computing cluster in Norway. However, additional compute resources are necessary to open the service to all ELIXIR users. We describe our approach for setting up and executing the functional analysis of META-pipe on additional academic and commercial clouds. Our goal is to provide a powerful analysis service that is easy to use and to maintain. Our design therefore uses a distributed architecture where we combine central servers with multiple distributed backends that execute the computationally intensive jobs. We believe our experiences developing and operating META-pipe provides a useful model for others that plan to provide a portal based data analysis service in ELIXIR and other organizations with geographically distributed compute and storage resources.

scholarly journals Infrastructure and Energy Conservation in Big Data Computing: A Survey

2019 ◽  
Vol 2 ◽  
pp. 73-82
Author(s):  
Ewa Niewiadomska-Szynkiewicz ◽  
Michał P. Karpowicz
Keyword(s):  
Big Data ◽  
High Performance ◽  
Physical Sciences ◽  
Communication Management ◽  
Data Intensive ◽  
Efficient Data ◽  
Software Platforms ◽  
Allocation Algorithms ◽  
And Storage ◽  
Big Data Computing

Progress in life, physical sciences and technology depends on efficient data-mining and modern computing technologies. The rapid growth of data-intensive domains requires a continuous development of new solutions for network infrastructure, servers and storage in order to address Big Datarelated problems. Development of software frameworks, include smart calculation, communication management, data decomposition and allocation algorithms is clearly one of the major technological challenges we are faced with. Reduction in energy consumption is another challenge arising in connection with the development of efficient HPC infrastructures. This paper addresses the vital problem of energy-efficient high performance distributed and parallel computing. An overview of recent technologies for Big Data processing is presented. The attention is focused on the most popular middleware and software platforms. Various energy-saving approaches are presented and discussed as well.

scholarly journals Development of Materials for Naval, Fluvial and Military Applications

2018 ◽  
Vol 11 (22) ◽  
pp. 63
Author(s):  
Fabio A. Suarez- Bustamante ◽  
Orlando D. Barrios-Revollo ◽  
Anderson Valencia ◽  
Juan P. Hernandez-Ortiz
Keyword(s):  
Energy Dissipation ◽  
High Performance ◽  
Wide Spectrum ◽  
Advanced Characterization ◽  
Mechanical Resistance ◽  
Optimal Processing ◽  
Military Applications ◽  
Temperature Transformation ◽  
And Storage

A platform to design composite materials of a polymeric matrix, that are specifically for military applications on fluvial and naval navigation, has been developed using energy dissipation and storage mechanisms. Our composites are designed to generate synergy between the dissipation capacities of ceramics and high-performance fibers, which are used as the reinforced material in the lightweight laminates. The composite design is combined with processing tools and advanced characterization techniques that result in laminates with reliability, traceability and quality. The platform begins with the identification of energy dissipation mechanisms and the detailed characterization of the polymeric resin. It includes the Time – Temperature – Transformation Diagram (TTT- Diagram) that supplies the optimal processing conditions. Our designs open new paths for military applications including a wide spectrum of protective systems together with geometric versatility, high mechanical resistance and reliability

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