The analysis and design of enterprise network harmonics current detection system

2019 ◽  
Author(s):  
Xuanzheng Zhou ◽  
Gongyong Zhang
Keyword(s):  
Detection System ◽  
Enterprise Network ◽  
Analysis And Design ◽  
Current Detection

Design of Firewall Security Control Program

2014 ◽  
Vol 556-562 ◽  
pp. 5999-6002
Author(s):  
Wan Chen Zhang
Keyword(s):  
Network Security ◽  
Network Architecture ◽  
Computer Network ◽  
Detection System ◽  
Control Program ◽  
Enterprise Network ◽  
Protection Measures ◽  
Safety Control ◽  
Enterprise Informatization ◽  
Disaster Tolerance

With the development and popularization of computer network, and speed up the pace of government and enterprise informatization, network architecture and existing enterprises more complex. The complex network structure exposed a lot of security problems, personal and corporate demand for network security grows with hitherto unknown speed. How to let the rapid advance of network security to satisfy business, become a hot topic. Network security is the supporting system of daily office and business applications for the modern enterprises. In the enterprise network, only like a personal computer network security protection just install personal version of virus protection program and software firewall is not enough, and should also deploy hardware firewall, network virus protection program and other such as intrusion detection system, network isolation equipment etc.. At the same time, it is necessary to deploy enterprise network disaster tolerance system, because it is all safety protection measures in the last line of defense. This paper mainly describe, safety control program of firewall in enterprise network security is how to design. I hope that this paper can help everyone to design network security protection systems .

Design for Detection System of Landslides Based on SCM

2013 ◽  
Vol 331 ◽  
pp. 622-625
Author(s):  
Gao Zheng Li ◽  
Cheng Liu ◽  
Guo Hong Cao ◽  
Nan Yu
Keyword(s):  
Software Design ◽  
Detection System ◽  
Hardware Design ◽  
Dynamic Monitoring ◽  
Main Function ◽  
Analysis And Design ◽  
Remote Monitoring System ◽  
Main Work ◽  
System Module ◽  
And Control

In order to understand all data of landslides as much as possible, such as the time, place, scale and destructive power, a kind of Remote monitoring system of Landslides based on SCM was designed. The main function is for the purpose of dynamic monitoring of landslide timely and effectively. The main work include hardware design, software design and circuit debugging of the system. In the system, hardware design mainly consists of the analysis and design of landslides data acquisition module and data processing and control system module circuit; Software design is to refer to the compilations of various system modular program; Circuit debugging refers to the process of debugging the program running in the system to ensure that the department of the system can work normally.

A Vehicle On-Board Alcohol Detection System Based on Integrated Multi-Sensors

2012 ◽  
Vol 490-495 ◽  
pp. 91-94 ◽  
Author(s):  
Li Fu ◽  
Jun Xiang Wang
Keyword(s):  
Embedded System ◽  
Information Fusion ◽  
Detection System ◽  
High Sensitivity ◽  
Visual Sensor ◽  
Dangerous Driving ◽  
Alcohol Sensor ◽  
Single Sensor ◽  
Sensor Information ◽  
Current Detection

A design and implementation of a detection system for dangerous driving was proposed based on multi-sensor-fusion. It is actually an embedded system consisting of visual,sensor, acceleration sensor, alcohol sensor input, and ARM cortex-M3 microcontroller. Experiment results show that the system has high linearity, high sensitivity,and excellent real-time performance. It can be further used to validate the multi-sensor information fusion algorithms in the field for improving the low reliability of the current detection by using one single-sensor method

scholarly journals Clinical Evaluation of a New Antigen-Based COVID-19 Rapid Diagnostic Test from Symptomatic Patients

Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2300
Author(s):  
Saiful Arefeen Sazed ◽  
Mohammad Golam Kibria ◽  
Mohammad Sharif Hossain ◽  
Md Fahad Zamil ◽  
Pranob Chandra Adhikary ◽  
...  
Keyword(s):  
Gold Standard ◽  
Clinical Performance ◽  
Detection System ◽  
Rapid Test ◽  
Test Results ◽  
Rt Pcr ◽  
Test Procedures ◽  
Healthcare Facilities ◽  
The Right ◽  
Current Detection

Accurate diagnosis at the right moment is the prerequisite for treatment of any disease. Failure to correctly diagnose a disease can result in highly detrimental effects, unmistakably a crucial factor during the COVID-19 pandemic. RT-PCR is the gold standard for COVID-19 detection while there are other test procedures available, such as LAMP, X-Ray, and ELISA. However, these tests are expensive, require sophisticated equipment and a highly trained workforce, and multiple hours or even days are often required to obtain the test results. A rapid and cheap detection system can thus render a solution to the screening system on a larger scale and be added as an aid to the current detection processes. Recently, some rapid antigen-based COVID-19 tests devices have been developed and commercialized. In this study, we evaluated the clinical performance of a new rapid detection device (OnSite® COVID-19 Ag Rapid Test by CTK Biotech Inc., Poway, CA, USA) on COVID-19 symptomatic patients (n = 380). The overall sensitivity and specificity were 91.0% (95% CI: 84.8–95.3%) and 99.2% (95% CI: 97.1–99.9), against gold standard RT-PCR. The kit was capable of detecting patients even after 06 days of onset of symptoms and the sensitivity can be maximized to 98% in samples with an average RT-PCR Ct ≤ 26.48, demonstrating a high potential of the kit for clinical diagnosis of symptomatic patients in healthcare facilities.

scholarly journals InterSpot: Interactive Spammer Detection in Social Media

2019 ◽  
Author(s):  
Kaize Ding ◽  
Jundong Li ◽  
Shivam Dhar ◽  
Shreyash Devan ◽  
Huan Liu
Keyword(s):  
Social Media ◽  
Learning Process ◽  
Interactive Learning ◽  
Detection System ◽  
Feedback Information ◽  
Detection Model ◽  
Empirical Success ◽  
Detection Strategy ◽  
Current Detection ◽  
Over Time

Spammer detection in social media has recently received increasing attention due to the rocketing growth of user-generated data. Despite the empirical success of existing systems, spammers may continuously evolve over time to impersonate normal users while new types of spammers may also emerge to combat with the current detection system, leading to the fact that a built system will gradually lose its efficacy in spotting spammers. To address this issue, grounded on the contextual bandit model, we present a novel system for conducting interactive spammer detection. We demonstrate our system by showcasing the interactive learning process, which allows the detection model to keep optimizing its detection strategy through incorporating the feedback information from human experts.

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