Simulation Data Warehouse for Integration and Analysis of Disaster Information

2016 ◽  
Vol 11 (2) ◽  
pp. 255-264 ◽  
Author(s):  
Jing Zhao ◽  
◽  
Kento Sugiura ◽  
Yuanyuan Wang ◽  
Yoshiharu Ishikawa
Keyword(s):  
Data Warehouse ◽  
System Architecture ◽  
High Speed ◽  
Information Science ◽  
Prototype System ◽  
Data Sets ◽  
Simulation Data ◽  
Interactive Analysis ◽  
Computational Capability ◽  
Speed Response

Studies on disaster countermeasures utilize extensive simulations of earthquake, tsunami, people evacuation, and other targets, generating enormous amounts of data. The continuing development of computational capability has facilitated the increase of the simulation data size and the utilization of such “big data” has become a serious problem. With this background, the present study proposes, from the viewpoint of information science, the simulation data warehouse approach for the interactive analysis of large simulation data and describes a method of realizing a data warehouse. An objective of this study is to integrate different simulation data sets and enable exploratory analysis of multiple accumulated simulation data with high-speed response by data preprocessing. Further, the developed prototype system architecture and a case example of its use are explained.

scholarly journals FPGA-Based Multiple DDoS Countermeasure Mechanisms System Using Partial Dynamic Reconfiguration

2016 ◽  
Author(s):  
Tran Ngoc Thinh ◽  
Cuong Pham-Quoc ◽  
Biet Nguyen-Hoang ◽  
Thuy-Chau Tran-Thi ◽  
Chien Do-Minh ◽  
...  
Keyword(s):  
System Architecture ◽  
High Speed ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Full Duplex ◽  
Prototype System ◽  
Dynamic Partial Reconfiguration ◽  
Half Duplex ◽  
Positive Rate

In this paper, we propose a novel FPGA-based high-speed DDoS countermeasure system that can flexibly adapt to DDoS attacks while still maintaining system performance. The system includes a packet decoder module and multiple DDoS countermeasure mechanisms. We apply dynamic partial reconfiguration technique in this system so that the countermeasure mechanisms can be flexibly changed or updated on-the-fly. The proposed system architecture separates DDoS protection modules (which implement DDoS countermeasure techniques) from the packet decoder module. By using this approach, one DDoS protection module can be reconfigured without interfering with other modules. The proposed system is implemented on a NetFPGA 10G board. The synthesis results show that the system can work at up to 116.782 MHz while utilizing up to 39.9% Registers and 49.85% BlockRAM of the Xilinx Virtex xcv5tx240t FPGA device on the NetFPGA 10G board. The system achieves the detection rate of 100% with the false negative rate at 0% and false positive rate closed to 0.16%. The prototype system achieves packet decoding throughput at 9.869 Gbps in half-duplex mode and 19.738 Gbps in full-duplex mode.

scholarly journals Photometric stereo-based high-speed inline battery electrode inspection

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Christian Kapeller ◽  
Ernst Bodenstorfer
Keyword(s):  
Quality Control ◽  
System Architecture ◽  
High Speed ◽  
Shape From Shading ◽  
Production Quality ◽  
Photometric Stereo ◽  
Inspection System ◽  
Coating Materials ◽  
Production Quality Control ◽  
Reconstruction Performance

Abstract Battery technology is a key component in current electric vehicle applications and an important building block for upcoming smart grid technologies. The performance of batteries depends largely on quality control during their production process. Defects introduced in the production of electrodes can lead to degraded performance and, more importantly, to short circuits in final cells, which is highly safety-critical. In this paper, we propose an inspection system architecture that can detect defects, such as missing coating, agglomerates, and pinholes on coated electrodes. Our system is able to acquire valuable production quality control metrics, like surface roughness. By employing photometric stereo techniques, a shape from shading algorithm, our system surmounts difficulties that arise while optically inspecting the black to dark gray battery coating materials. We present in detail the acquisition concept of the proposed system architecture, and analyze its acquisition-, as well as, its surface reconstruction performance in experiments. We carry these out utilizing two different implementations that can operate at a production speed of up to 2000 mm/s at a resolution of 50 µm per pixel. In this work we aim to provide a system architecture that can provide a reliable contribution to ensuring optimal performance of produced battery cells.

Distributed and collaborative visualization of large data sets using high-speed networks

2006 ◽  
Vol 22 (8) ◽  
pp. 1004-1010 ◽  
Author(s):  
Andrei Hutanu ◽  
Gabrielle Allen ◽  
Stephen D. Beck ◽  
Petr Holub ◽  
Hartmut Kaiser ◽  
...  
Keyword(s):  
High Speed ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
High Speed Networks ◽  
Collaborative Visualization

Universal Data Warehousing Based on a Meta-Data Modeling Approach

2003 ◽  
Vol 12 (03) ◽  
pp. 325-363 ◽  
Author(s):  
Joseph Fong ◽  
Qing Li ◽  
Shi-Ming Huang
Keyword(s):  
Data Warehouse ◽  
Data Warehousing ◽  
Object Oriented ◽  
Data Models ◽  
Heterogeneous Databases ◽  
Materialized Views ◽  
Prototype System ◽  
Relational View ◽  
Metadata Model ◽  
Star Schema

Data warehouse contains vast amount of data to support complex queries of various Decision Support Systems (DSSs). It needs to store materialized views of data, which must be available consistently and instantaneously. Using a frame metadata model, this paper presents an architecture of a universal data warehousing with different data models. The frame metadata model represents the metadata of a data warehouse, which structures an application domain into classes, and integrates schemas of heterogeneous databases by capturing their semantics. A star schema is derived from user requirements based on the integrated schema, catalogued in the metadata, which stores the schema of relational database (RDB) and object-oriented database (OODB). Data materialization between RDB and OODB is achieved by unloading source database into sequential file and reloading into target database, through which an object relational view can be defined so as to allow the users to obtain the same warehouse view in different data models simultaneously. We describe our procedures of building the relational view of star schema by multidimensional SQL query, and the object oriented view of the data warehouse by Online Analytical Processing (OLAP) through method call, derived from the integrated schema. To validate our work, an application prototype system has been developed in a product sales data warehousing domain based on this approach.

P-181L:Late-News Poster: A Novel Optically Compensated Tunable Birefringence (OCTB) Liquid Crystal Electro-optical Device Exhibiting High Speed Response

2014 ◽  
Vol 45 (1) ◽  
pp. 1463-1464 ◽  
Author(s):  
Shunsuke Kobayashi ◽  
Kiyofumi Takeuchi ◽  
Masakazu Kaneoya ◽  
Kunihiko Kotani ◽  
Haruyoshi Takatsu
Keyword(s):  
Liquid Crystal ◽  
High Speed ◽  
Optical Device ◽  
Speed Response

High-speed-response InGaAs/InP heterostructure avalanche photodiode with InGaAsP buffer layers

1982 ◽  
Vol 18 (22) ◽  
pp. 945 ◽  
Author(s):  
Y. Matsushima ◽  
S. Akiba ◽  
K. Sakai ◽  
Y. Kushiro ◽  
Y. Noda ◽  
...  
Keyword(s):  
High Speed ◽  
Avalanche Photodiode ◽  
Buffer Layers ◽  
Speed Response

scholarly journals Programming the Linpack Benchmark for the IBM PowerXCell 8i Processor

2009 ◽  
Vol 17 (1-2) ◽  
pp. 43-57 ◽  
Author(s):  
Michael Kistler ◽  
John Gunnels ◽  
Daniel Brokenshire ◽  
Brad Benton
Keyword(s):  
High Speed ◽  
Double Precision ◽  
Data Movement ◽  
Processing Elements ◽  
Cell Broadband Engine ◽  
Design And Implementation ◽  
Computational Capability ◽  
High Speed Data ◽  
Linpack Benchmark ◽  
And Performance

In this paper we present the design and implementation of the Linpack benchmark for the IBM BladeCenter QS22, which incorporates two IBM PowerXCell 8i1processors. The PowerXCell 8i is a new implementation of the Cell Broadband Engine™2 architecture and contains a set of special-purpose processing cores known as Synergistic Processing Elements (SPEs). The SPEs can be used as computational accelerators to augment the main PowerPC processor. The added computational capability of the SPEs results in a peak double precision floating point capability of 108.8 GFLOPS. We explain how we modified the standard open source implementation of Linpack to accelerate key computational kernels using the SPEs of the PowerXCell 8i processors. We describe in detail the implementation and performance of the computational kernels and also explain how we employed the SPEs for high-speed data movement and reformatting. The result of these modifications is a Linpack benchmark optimized for the IBM PowerXCell 8i processor that achieves 170.7 GFLOPS on a BladeCenter QS22 with 32 GB of DDR2 SDRAM memory. Our implementation of Linpack also supports clusters of QS22s, and was used to achieve a result of 11.1 TFLOPS on a cluster of 84 QS22 blades. We compare our results on a single BladeCenter QS22 with the base Linpack implementation without SPE acceleration to illustrate the benefits of our optimizations.

scholarly journals Achievement Method of High-Speed Response of Error Prediction Tracking Control for Optical Disk System

2007 ◽  
Vol 127 (9) ◽  
pp. 942-949 ◽  
Author(s):  
Toru Hayano ◽  
Isao Shibutani ◽  
Kiyoshi Ohishi ◽  
Toshimasa Miyazaki ◽  
Daiichi Koide ◽  
...  
Keyword(s):  
Tracking Control ◽  
High Speed ◽  
Optical Disk ◽  
Error Prediction ◽  
Disk System ◽  
Speed Response

scholarly journals Multivariate Extreme Value Theory - A Tutorial with Applications to Hydrology and Meteorology

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Anne Dutfoy ◽  
Sylvie Parey ◽  
Nicolas Roche
Keyword(s):  
Extreme Value Theory ◽  
High Speed ◽  
Value Theory ◽  
Extreme Value ◽  
Asymptotic Independence ◽  
Data Sets ◽  
Overhead Lines ◽  
Multivariate Extreme Value Theory ◽  
Air Temperatures ◽  
Multivariate Extreme Value

AbstractIn this paper, we provide a tutorial on multivariate extreme value methods which allows to estimate the risk associated with rare events occurring jointly. We draw particular attention to issues related to extremal dependence and we insist on the asymptotic independence feature. We apply the multivariate extreme value theory on two data sets related to hydrology and meteorology: first, the joint flooding of two rivers, which puts at risk the facilities lying downstream the confluence; then the joint occurrence of high speed wind and low air temperatures, which might affect overhead lines.

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