The Research and Design of Multi-Source Data Exchange System Based on Middleware Technology

2014 ◽  
Vol 701-702 ◽  
pp. 1049-1053
Author(s):  
Wei Wei Li ◽  
Cheng Zhou
Keyword(s):  
Network Security ◽  
Data Exchange ◽  
Test Results ◽  
Exchange System ◽  
Source Data ◽  
Middleware Technology ◽  
And Performance ◽  
Data Isolation ◽  
Research And Design

To resolve the complexity and diversity of data exchange, the paper designed an data exchange system based on middleware technology, which realized different parsing and filtering capabilities. The method can meet the need of data exchange on the premise that network security can be guaranteed. The test results show that functionality and performance of the system meet the requirements of data isolation and exchange.

VHF Data Exchange System overview and the new Norsat-2 LEO satellite initial test results

2017 ◽  
Author(s):  
Hans C. Haugli ◽  
Lars Løge ◽  
Torkild Eriksen ◽  
Stig E. Christiansen ◽  
Frode Storesund ◽  
...  
Keyword(s):  
Data Exchange ◽  
Test Results ◽  
Initial Test ◽  
Exchange System ◽  
Leo Satellite

Network Security with Firewall using MikroTik RB941

e-NARODROID ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. 13-24
Author(s):  
Siti Agustini ◽  
Ahmad Mudzakir
Keyword(s):  
Information Technology ◽  
Network Security ◽  
Data Exchange ◽  
Education Sector ◽  
The Internet ◽  
Test Results ◽  
Filtration Process ◽  
Access Rights

Abstract : The Internet is an advancement of information technology is very instrumental in various fields today. The Internet connects everyone despite being far apart. So the internet is very important role in terms of communication. The Internet is widely applied in the education sector, government, and even companies. Through the internet, data exchange in these sectors can be done. However, the exchange of such data must be secure or accessible only to the person entitled to the data. For that network security is needed to protect data owned by each agency or sector. Researchers in this paper develop network security with firewall using MikroTik RB941. In this research, built a server using MikroTik RB941 with Firewall feature to restrict visitor access rights, where only recognizable visitors will be able to access the server. So the firewall here filters the user's access to the server. From the test results obtained that the firewall applied to MIkroTik RB941 can perform filtration process on the user who tries to access to the server.   Kata Kunci : network security, firewall, mikrotik 

Machine-Scored Syntax: Comparison of the CLAN Automatic Scoring Program to Manual Scoring

2020 ◽  
Vol 51 (2) ◽  
pp. 479-493
Author(s):  
Jenny A. Roberts ◽  
Evelyn P. Altenberg ◽  
Madison Hunter
Keyword(s):  
Data Exchange ◽  
Child Language ◽  
Exchange System ◽  
Absolute Point ◽  
Language Analysis ◽  
Search Patterns ◽  
Language Data ◽  
Report Accuracy ◽  
Point To Point ◽  
Automatic Scoring

Purpose The results of automatic machine scoring of the Index of Productive Syntax from the Computerized Language ANalysis (CLAN) tools of the Child Language Data Exchange System of TalkBank (MacWhinney, 2000) were compared to manual scoring to determine the accuracy of the machine-scored method. Method Twenty transcripts of 10 children from archival data of the Weismer Corpus from the Child Language Data Exchange System at 30 and 42 months were examined. Measures of absolute point difference and point-to-point accuracy were compared, as well as points erroneously given and missed. Two new measures for evaluating automatic scoring of the Index of Productive Syntax were introduced: Machine Item Accuracy (MIA) and Cascade Failure Rate— these measures further analyze points erroneously given and missed. Differences in total scores, subscale scores, and individual structures were also reported. Results Mean absolute point difference between machine and hand scoring was 3.65, point-to-point agreement was 72.6%, and MIA was 74.9%. There were large differences in subscales, with Noun Phrase and Verb Phrase subscales generally providing greater accuracy and agreement than Question/Negation and Sentence Structures subscales. There were significantly more erroneous than missed items in machine scoring, attributed to problems of mistagging of elements, imprecise search patterns, and other errors. Cascade failure resulted in an average of 4.65 points lost per transcript. Conclusions The CLAN program showed relatively inaccurate outcomes in comparison to manual scoring on both traditional and new measures of accuracy. Recommendations for improvement of the program include accounting for second exemplar violations and applying cascaded credit, among other suggestions. It was proposed that research on machine-scored syntax routinely report accuracy measures detailing erroneous and missed scores, including MIA, so that researchers and clinicians are aware of the limitations of a machine-scoring program. Supplemental Material https://doi.org/10.23641/asha.11984364

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