The Network Security Response Framework (NSRF) allows for testing different computer security response engines and methodologies. It supports simulated and real: Intrusion detection Systems (sensors), Attacks, and Responses.
人臉檢測的C/C++源代碼，曾發(fā)表于 OPENCV 的 MAILING LIST，主要是對OPENCV 3.1 版本發(fā)布的代碼做了一些速度上的優(yōu)化，并且解決了內(nèi)存泄漏的問題。這個(gè)程序所使用的 Paul Viola 提出（該論文“Rapid Object detection using a Boosted Cascade of Simple Features”發(fā)表在 CVPR 01）的 Ada Boosted Cascade 算法可以說是目前最好最快的目標(biāo)檢測算法。
TION
ESD (electrostatic discharge) sensitive device. Electrostatic charges as high as 4000 V readily
accumulate on the human body and test equipment and can discharge without detection.
WARNING!
Although the AD7008 features proprietary ESD protection circuitry, permanent damage may
occur on devices subjected to high energy electrostatic discharges. Therefore, proper ESD
precautions are recommended to avoid performance degradation or loss of functionality.
Make and answer phone calls
Detect tone and pulse digit from the phone line
Capture Caller ID
Support blind transfer, single-step transfer/conference, consultation transfer/conference, hold, unhold.
Control of the local phone handset, microphone and speaker of the modem
Send and receive faxes
Play and record on the phone line or sound card
Play music in background mode
Silence detection
VU Meter
Wave sound editor that allows your end-users to edit their own sound files.
Voice recognition and voice synthesis.
Full control over the serial port device
ZModem file transfer utility
File compression and encryption utility
In recent years large scientific interest has been
devoted to joint data decoding and parameter estimation
techniques. In this paper, iterative turbo decoding joint
to channel frequency and phase estimation is proposed.
The phase and frequency estimator is embedded into the
structure of the turbo decoder itself, taking into consideration
both turbo interleaving and puncturing. Results
show that the proposed technique outperforms conventional
approaches both in terms of detection capabilities and
implementation complexity.
13th Israeli Symposium of AI, CV, and NN, Tel Aviv University, Tel Aviv, Israel, Feb. 2-4, 1997 D. Dori, D. Hubunk and Liu W, “Improving the Arc detection
for the TI dm6446 platformBackground subtraction moduleMaintain a background model, which can distinguish background, foreground and theft/left pixelsShadow removal moduleDetect shadow regions in monochrome videosCamera shift detection and suppression moduleDetect of small camera shift, and suppress the false alarms due to themBlob extraction moduleExtract connected foreground and theft/left pixels as blobsTheft/left baggage distinguish moduleDistinguish theft blobs and left baggage blobs
This R2.9 revision of the CLID detector provides the TYPE 1 (on-hook, between first and second ring, or
before first ring) signal detection and returns the message raw byte data without parsing of particular fields
such as Message Type, Parameter(s) Type(s), etc. The decoding of the message meaning should be performed by the user application.主叫號碼識(shí)別CID算法for TI DSP
