DLG2ISM, a Fortran program to read DLG-3 optional format digital data files into the VAX/VMS version of the interactive surface modeling software package

1988 ◽  
Author(s):  
G.N. Green
2018 ◽  
Vol 7 (2.4) ◽  
pp. 46 ◽  
Author(s):  
Shubhanshi Singhal ◽  
Akanksha Kaushik ◽  
Pooja Sharma

Due to drastic growth of digital data, data deduplication has become a standard component of modern backup systems. It reduces data redundancy, saves storage space, and simplifies the management of data chunks. This process is performed in three steps: chunking, fingerprinting, and indexing of fingerprints. In chunking, data files are divided into the chunks and the chunk boundary is decided by the value of the divisor. For each chunk, a unique identifying value is computed using a hash signature (i.e. MD-5, SHA-1, SHA-256), known as fingerprint. At last, these fingerprints are stored in the index to detect redundant chunks means chunks having the same fingerprint values. In chunking, the chunk size is an important factor that should be optimal for better performance of deduplication system. Genetic algorithm (GA) is gaining much popularity and can be applied to find the best value of the divisor. Secondly, indexing also enhances the performance of the system by reducing the search time. Binary search tree (BST) based indexing has the time complexity of  which is minimum among the searching algorithm. A new model is proposed by associating GA to find the value of the divisor. It is the first attempt when GA is applied in the field of data deduplication. The second improvement in the proposed system is that BST index tree is applied to index the fingerprints. The performance of the proposed system is evaluated on VMDK, Linux, and Quanto datasets and a good improvement is achieved in deduplication ratio.


Author(s):  
Jon R. Lindsay

This chapter investigates the Combined Air Operations Center (CAOC), the analogue to the Fighter Command Ops Room in the modern U.S. Air Force. The air force formally designates the CAOC as a weapon system, even as it is basically just a large office space with hundreds of computer workstations, conference rooms, and display screens. The CAOC is an informational weapon system that coordinates all of the other weapon systems that actually conduct air defense, strategic attack, close air support, air mobility and logistics, and intelligence, surveillance, and reconnaissance (ISR). One might be tempted to describe the CAOC as “a center of calculation,” but modern digital technology tends to decenter information practice. Representations of all the relevant entities and events in a modern air campaign reside in digital data files rather than a central plotting table. The relevant information is fragmented across collection platforms, classified networks, and software systems that are managed by different services and agencies. Thus, in each of the four major U.S. air campaigns from 1991 to 2003, CAOC personnel struggled with information friction. They rarely used the mission planning systems that were produced by defense contractors as planned, and they improvised to address emerging warfighting requirements.


2010 ◽  
Vol 20 (03n04) ◽  
pp. 63-76 ◽  
Author(s):  
AMANI N. TAHAT ◽  
WA'EL SALAH ◽  
AWNI B. HALLAK

This paper describes a shell which facilitates the use of the existing PIXE analysis software package PIXAN. In this work, we designed, wrote and examined several PIXE spectra in a utility program that is called WPASS. The WPASS program merely links PIXAN modules and makes their use more convenient than before. The WPASS program handles automatically PEAKFIT (BATTY) and THICK programs. It outputs the results into several files belonging to the same data file. These include converting data files from one-column-format OCF to PIXANPC format; control, graphics, and result files from PEAKFIT; control and result files from THICK; options for graphical plotting the results on the PC and converting the graphics files for their components for publications of the results. WPASS has new features that consider the secondary interelement fluorescence. WPASS has been used successfully for the analysis of PIXE spectra and inner-shell ionization studies.


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