Motion physics Motiondetection is a process of confirming a change in position of an object relative to its surroundings or the change in the surroundings relative to an object. This detection can be achieved ... motiondetection, it can also consist of magnitude detection that can measure and quantify the strength or speed of this motion or the object that created it. When motiondetection is accomplished by natural organisms, it is called motion perception . Motion can be detected by sound acoustic sensors ... Talking Electronics, Transistors ref Electronic Detection See also Motion estimation The principal methods by which Motion physics motion can be electronically identified are optical detection and acoustical detection . Infrared light or laser technology may be used for optical detection. Motiondetection devices, such as Passive Infrared Sensor PIR motion detectors, have a sensor that detects .... ref http www.axis.com products video about networkvideo vmd.htm Video motiondetection VMD ref ref http gandalf.psych.umn.edu users schrater SchMechVisMotion.pdf Mechanisms of visual motion ref The chief applications for such detection are a detection of unauthorized entry, b detection of cessation ... HowStuffWorks.com MotionDetection ref A simple algorithm for motiondetection by a fixed camera ... http portal.acm.org citation.cfm?id 1247738.1247811 MotionDetection Algorithms In Image Processing http www.cs.rochester.edu u nelson research motion motion.html MotionDetection and Recognition Research ... XBOX 360 Kincet.jpg thumb Microsoft Kinect sensor on a TV Television . Mechanical Detection The most basic form of mechanical motiondetection is in the form of a switch or trigger. These motiondetection devices are common in our everyday lives. The keys of a typewriter , or even the keys on the keyboards ... detecting motion . Each key is a manual switch that is either off or on. Each letter that appears is a result of motion on that corresponding key and the switch being turned on. This simple binary ... more details
Video MotionDetection refers to the ability of a computer algorithm to automatically identify motion in a video clip. The basic motiondetection can identify any motion on the video. Such algorithm may be affected by changes in weather such as cloud movement, rain, etc. More advanced motiondetection algorithm can identify motion in a specific area of the picture such as crossing a border , mark the location of the moving object and possibly follow it. Category Application software he ... more details
wiktionary motionMotion may refer to Motion physics , any movement or change in position or place Motion legal , a procedural device in law to bring a limited, contested matter before a court Motion democracy , a formal step to introduce a matter for consideration by a group Motion parliamentary procedure , a formal proposal by a member of a deliberative assembly that the assembly take certain action Motion American football , a movement by an offensive player prior to the start of a play Motion, the connecting rods and valve gear of a Steam locomotive Running gear steam locomotive Graphics and software Motion conference , the annual conference on animation, motion graphics and visual effects Motion software , a motion graphics software application by Apple Computer, or a term for Motion graphics generally Motion surveillance software , a software motion detector surveillance system for Linux Music Motion The Cinematic Orchestra album Motion The Cinematic Orchestra album , 1999 Motion Lee Konitz album Motion Lee Konitz album , 1961 Motion The Mayfield Four EP Motion EP , a 1997 EP by The Mayfield Four Motion Eduardo Falaschi song Motion Eduardo Falaschi song , Eduardo Falaschi The Motions , a 2009 song by Matthew West Pete Nischt and the Motions , a band from Akron, Ohio People Andrew Motion born 1952 , English poet laureate See also Self motion disambiguation Move disambiguation lookfrom motion disambiguation ca Moviment desambiguaci de Bewegung es Movimiento fr Motion ro Motion dezambiguizare ... more details
In Motion may refer to In Motion Copeland album In Motion Joey Yung album In Motion song , a song by hide disambig Short pages monitor This long comment was added to the page to prevent it from being listed on Special Shortpages. It and the accompanying monitoring template were generated via Template Long comment. Please do not remove the monitor template without removing the comment as well. ... more details
Ref improve date December 2011 Infobox album See Wikipedia WikiProject Albums Name Into Motion Type Album Artist Salvador band Salvador Cover Released June 4, 2002 Recorded Genre Christian music , Christian pop , Christian rock Length Label Word Records Word Producer Reviews Last album Salvador Salvador album Salvador br 2000 This album Into Motion br 2002 Next album Con Poder Salvador album Con Poder br 2003 Into Motion is the second album released by Salvador band Salvador . The album reached 198 on the Billboard top 200. ref http www.billboard.com album salvador into motion 536243 album salvador into motion 536243 ref Track listing Breathing Life 3 37 City On A Hill 4 32 When I Pray 4 15 Can t Keep It In 3 12 Black Flower 5 03 God People 2 51 Alegria 2 24 Psalm 3 5 22 Salt & Light 4 48 Worthy 3 35 Mighty King Of Love 2 43 References reflist christian album stub Category 2002 albums Category Christian music albums Salvador albums ... more details
Lead too short date February 2011 file Face detection.jpg thumb Automatic face detection with OpenCV Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary ... and bodies. Definition and relation to other tasks Face detection can be regarded as a specific case of object class detection . In object class detection, the task is to find the locations and sizes ..., and cars. Face detection can be regarded as a more general case of face localization . In face localization ... detection, one does not have this additional information. Early face detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi view face detection. That is, the detection of faces that are either ... algorithms implement the face detection task as a binary classification binary pattern classification ... fr.php title Filipe Tomaz face detection and recognition publisher W3.ualg.pt date accessdate 2011 ... type of motion on faces is blinking. Detecting a blinking pattern in an image sequence can detect ... Finding a face by blink detection publisher Prima.imag.fr date 1995 01 20 accessdate 2011 02 15 ref ... model can contain the appearance, shape, and motion of faces. There are several shapes of faces .... A method for human face detection from color videos or images is to combine various methods ... features such as eyes, nose, and mouth. Applications Face detection is used in biometrics , often ... computer interface and image database management. Some recent digital cameras use face detection ... Face detection is also useful for selecting regions of interest in photo slideshows that use a pan and scale Ken Burns effect . Face detection is gaining the interest of marketers. A webcam can be integrated ... be played that is specific toward the detected race gender age. Face detection is also being researched ... returns to the screen, the brightness is increased. Popular algorithms Viola Jones object detection ... more details
unreferenced date February 2008 Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class such as humans, buildings, or cars in digital images and videos. Well researched domains of object detection include face detection and pedestrian detection . Object detection has applications in many areas of computer vision, including image retrieval and video surveillance . Compsci stub Category Object recognition and categorization Category Surveillance Category Applications of computer vision fr D tection d objet ... more details
Dablink For collision detection on networks see CSMA CD Collision detection typically refers to the computational ... detection systems may also calculate time of impact TOI , and report a contact manifold the set of intersecting points . ref Ericson, Christer. Real time Collision Detection. Elsevier, 2005 ... engine , ragdoll physics . Solving collision detection problems requires extensive use of concepts ... detection. In physical simulation, we wish to conduct experiments, such as playing billiards . The physics of bouncing billiard balls are well understood, under the umbrella of rigid body motion ... or her cue stick , we want to calculate the trajectories, precise motion, and eventual resting places ..., so long as the resulting simulation is satisfying to the game players. Collision detection in physical ... higher precision than the rest of the simulation. Collision detection utilizes time coherence to allow ... detection algorithms are broken into a hierarchy of algorithms. Often the terms discrete and continuous ... after it has actually happened. In the a priori methods, we write a collision detection algorithm .... In this case, the collision detection algorithm need not be aware of the myriad physical variables ... bodies. The collision detection algorithm doesn t need to understand friction, elastic collisions ... but not completely impossible to separate the physical simulation from the collision detection algorithm ... motion is below a threshold, friction becomes stiction and both objects are arranged in the same branch of the scene graph Optimization The obvious approaches to collision detection for multiple ..., resulting in faster algorithms. At the coarse level of collision detection, the objective is to find ... algorithm for collision detection of bounding boxes is sweep and prune . We observe that two ... detection Once we re done pruning, we are left with a number of candidate pairs to check for exact collision detection. A basic observation is that for any two convex set convex objects which ... more details
Extrusion detection or outbound intrusion detection is a branch of intrusion detection aimed at developing mechanisms to identify successful and unsuccessful attempts to use the resources of a computer system to compromise other systems. Extrusion detection techniques focus primarily on the analysis of system activity and outbound traffic in order to detect malicious users, malware or network traffic that may pose a threat to the security of neighboring systems. While intrusion detection is mostly concerned about the identification of incoming attacks intrusion attempts , extrusion detection systems try to prevent attacks from being launched in the first place. They implement monitoring controls at leaf nodes of the network rather than concentrating them at choke points, e.g., router computing router s in order to distribute the inspection workload and to take advantage of the visibility a system has of its own state. The ultimate goal of extrusion detection is to identify attack attempts launched from an already compromised system in order to prevent them from reaching their target, hereby containing the impact of the threat. External links http www.awprofessional.com store product.aspx?isbn 0321349962 Extrusion Detection Security Monitoring for Internal Intrusions http www.cl.cam.ac.uk rnc1 extrusion.pdf Stopping Spam by Extrusion Detection http citeseer.ist.psu.edu mandujano04outbound.html Outbound Intrusion Detection http www.software.co.il extrusion Research and review articles on extrusion detection Category Data security ... more details
Output of a typical corner detection algorithm comment here Corner detection is an approach used within computer vision systems to extract certain kinds of feature detection features and infer the contents of an image. Corner detection is frequently used in motiondetection , image registration , video ... H. Wang and M. Brady title Real time corner detection algorithm for motion estimation journal Image ... . Corner detection overlaps with the topic of interest point detection . Formalization A corner ... maximal. In practice, most so called corner detection methods detect interest points in general ... which of these are real corners. Examples of edge detection that can be used with post processing .... Specifically, there are several blob detection blob detectors that can be referred to as interest ... a notion of ridge detection to capture the presence of elongated objects. Corner detectors ... to corner detection in images is using correlation , but this gets very computationally expensive ... and Stephens below , which in turn is an improvement of a method by Moravec. The Moravec corner detection algorithm This is one of the earliest corner detection algorithms and defines a corner to be a point ... point. The Harris & Stephens Plessey Shi Tomasi corner detection algorithm Harris and Stephens ref ... I x 2 rangle end bmatrix . math The Foerstner Corner Detector File Corner detection using Foerstner Algorithm.png thumb Corner detection using Foerstner Algorithm In some cases, one may wish to compute ... ref cite journal last Foerstner first W coauthors Gulch title A Fast Operator for Detection and Precose ... curvature approach An earlier approach to corner detection is to detect points where the curvature of level ... in the image domain. LoG, DoG, and DoH feature detection LoG ref name lindeberg98 ref name schmid is an acronym .... ref name lindeberg98 These detectors are more completely described in blob detection , however ... may also respond to edges. To improve the corner detection ability of the DoG detector, the feature ... more details
Neutron detection is the effective detection of neutron s entering a well positioned detector . There are two key aspects to effective neutron detection hardware and software. Detection hardware refers ... detector and to the electronics used in the detection setup. Further, the hardware setup also defines .... Detection software consists of analysis tools that perform tasks such as graphical analysis to measure the number and energies of neutrons striking the detector. Basic physics of neutron detection ... directly hence they are harder than charged particles to detect directly. Further, their paths of motion ... of the resulting nucleus. Most detection approaches rely on detecting the various reaction products ... 5 Nuclear magneton sub N sub , techniques for detection of the magnetic moment are too insensitive to use for neutron detection. Electric dipole moment The neutron is predicted to have .... Hence it is not a viable detection signature. Decay Outside the nucleus, free neutrons are unstable ... detector system. Classic neutron detection options As a result of these properties, detection ... first Nicholas authorlink coauthors title Measurement and Detection of Radiation publisher Taylor ... detection. ref Cite journal last Mireshghi first A. authorlink coauthors Cho, G. Drewery, J.S. ... id isbn 0 7803 9221 3 ref Fast neutron detectors Detection of fast neutrons poses a range of special ... 2007 url doi 10.1109 NSSMIC.2007.4436312 id isbn 978 1 4244 0922 8 ref Applications Neutron detection is used for varying purposes. Each application has different requirements for the detection system ... physics Neutron detection has been proposed as a method of enhancing neutrino detector s. ref ... biological effectiveness i.e., the way damage caused by neutrons varies with energy . Cosmic ray detection ... variations in cosmic ray flux. Special nuclear material detection Special nuclear material s SNM ... detectors can be used for monitor for SNM in commerce. Experimental neutron detection Experiments that make ... more details
refimprove date December 2011 Misuse detection actively works against potential insider threat computer threats to vulnerability computing vulnerable company data . Misuse Misuse detection is an approach in detecting attack computing attacks . In misuse detection approach, we define abnormal system behaviour at first, and then define any other behaviour, as normal behaviour. It stands against anomaly detection approach which utilizes the reverse approach, defining normal system behaviour and defining any other behaviour as abnormal. In other words anything we don t know is normal. Using attack signatures in Intrusion Detection System IDSes is an example of this approach. Misuse detection has also been used to refer to all kinds of computer misuse. ref Helman, Paul, Liepins, Gunar, and Richards, Wynette, Foundations of Intrusion Detection, The IEEE Computer Security Foundations Workshop V, 1992 ref See Intrusion detection . Theory In theory, It assumes that abnormal behaviour and activity has a simple to define model. Its advantage is simplicity of adding known attacks to the model. Its disadvantage is its inability to recognize unknown attacks. References reflist Further reading For more information on Misuse Detection, including papers written on the subject, consider the following http ir.iit.edu publications downloads p73 cathey.pdf Misuse Detection Concepts and Algorithms article by the IR Lab at IIT. Category Data security ... more details
For feature detection in computer vision, see feature detection computer vision . Feature detection is a process by which specialized nerve cell s in the brain respond to specific features of a visual stimulus, such as lines, edges, angle, or movement. The nerve cells fire selectively in response to stimuli that have specific characteristics E.G shape, angle, or movement. Feature detection was discovered by David Hubel and Torsten Wiesel of Harvard University , an accomplishment which won them the 1981 Nobel Prize . In the area of computer vision , Feature detection computer vision feature detection usually refers to the computation of local image features as intermediate results of making local decisions about the local information contents image structure in the image see also the article on interest point detection . In the area of psychology, the feature detectors are neurons in the visual cortex that receive visual information and respond to certain features such as lines, angles, movements, etc. When the visual information changes, the feature detector neurons will quiet down, to be replaced with other more responsive neurons. See also Feature detection nervous system Feature detection computer vision Interest point detection Category Neurons Category Perception Neuroscience stub ... more details
In statistical analysis , change detection tries to identify changes in the probability distribution ... , or spectral density of the process. More generally change detection also includes the detection of anomalous behavior anomaly detection . Online change detection Using the sequential analysis ... rate Detection delay Bayes change detection In a Bayes change detection problem, a prior distribution is available for the change time. Minimax change detection In minimax change detection, the objective is to minimize the expected detection delay for some worst case change time distribution, subject to a cost or constraint on false alarms. A key technique for minimax change detection is the CUSUM procedure. Offline change detection Offline algorithm s may employ Cluster analysis clustering based on maximum likelihood estimation . Applications of change detection Change detection tests are often used in manufacturing quality control , intrusion detection , spam filtering , website tracking , and medical diagnostics. Linguistic change detection Linguistic change detection refers to the ability ... word and the new word influence the ease with which such a detection is made Sturt, Sanford, Stewart ... will be changed during the initial reading of the original sentence can improve detection. This was shown ... Havermaet, 2010 . These change detection phenomenon appear to be robust, even occurring cross linguistically ... break Change in model structure Change detection GIS Detection theory Hypothesis testing Recall rate ... cite book url http www.irisa.fr sisthem kniga title Detection of Abrupt Changes Theory and Application ... detection The effects of linguistic focus, hierarchical word level and proficiency , The Mental Lexicon ... Abstract cite book title Quickest Detection author H. Vincent Poor and Olympia Hadjiliadis publisher ... focus and good enough representations An application of the change detection paradigm , Psychonomic Bulletin & Review, 11 5 , 882 888. DEFAULTSORT Change Detection Category Change detection stat stub ... more details
Biochemical Detection is the science and technology of detecting biochemicals and their concentration where trace analysis is concerned this is usually done by using a Quartz crystal microbalance Quartz Crystal Microbalance . Another method is with nano particles ref http www.medician.info 2011 04 nanoparticles harnessed for early disease detection Article from Medician ref References Reflist Category Biochemistry Category Detection theory biochem stub ... more details
merge people counter date November 2010 Pedestrian detection is an essential and significant task in any intelligent video surveillance system, as it provides the fundamental information for semantic understanding of the video footages. Challenges for pedestrian detection Various style of clothing in appearance Different possible articulations The presence of occluding accessories Frequent occlusion between pedestrians Existing Approaches Despite the challenges, pedestrian detection still remains .... Holistic Detection Detectors are trained to search for pedestrians in the video frame by scanning the whole ..., A Trainable Pedestrian Detection system , International Journal of Computer Vision IJCV , page ..., B. Triggs, Histograms of oriented gradients for human detection , IEEE Computer Society Conference .... Part based Detection Pedestrians are modeled as collections of parts. Part hypotheses are firstly generated by learning local features, which includes edgelet features ref Bo Wu and Ram Nevatia, Detection ... features ref Mikolajczyk, K. and Schmid, C. and Zisserman, A. Human detection based on a probabilistic ... the best assembly of existing pedestrian hypotheses. Though this approach is attractive, part detection itself is a difficult task. Patch based Detection Recently Leibe et al. ref B.Leibe, E. Seemann, and B. Schiele. Pedestrian detection in crowded scenes IEEE Conference on Computer Vision and Pattern Recognition CVPR , pages 1 878 885, 2005 ref proposed an approach combining both the detection and segmentation ... the codebook entries, and each match casts one vote for the pedestrian hypotheses. Final detection ... a small number of training images are required. Detection using Multiple Cameras Fleuret et al. ref .... References references External links http cvlab.epfl.ch software pom Code for POM Pedestrian Detection from multiple cameras using Probabilistic Occupancy Map DEFAULTSORT Pedestrian Detection Category Surveillance Category Applications of computer vision fr D tection de personnes nl Pedestrian Detection ... more details
Image HomodyneDetection2.png thumb 200px Optical Homodyne Detection. Homodyne detection is a method of detecting frequency modulated radiation by non linear mixing with radiation of a Frequency standard reference frequency , the same principle as for heterodyne detection . In optical interferometry , homodyne signifies that the reference radiation i.e. the local oscillator is derived from the same source as the signal before the modulating process . For example, in a laser scattering measurement, the laser beam is split into two parts. One is the local oscillator and the other is sent to the system to be probed. The scattered light is then mixed with the local oscillator on the detector. This arrangement has the advantage of being insensitive to fluctuations in the frequency of the laser. Usually the scattered beam will be weak, in which case the nearly steady component of the detector output is a good measure of the instantaneous local oscillator intensity and therefore can be used to compensate for any fluctuations in the intensity of the laser. Homodyne and heterodyne techniques are commonly used in thermoreflectance techniques. Radio Technology In radio technology, the distinction is not the source of the local oscillator, but the frequency used. In heterodyne detection, the local oscillator is frequency shifted, while in homodyne detection it has the same frequency as the radiation to be detected. See direct conversion receiver . See also Heterodyne Heterodyne detection Notes references External links Category Waves Category Nonlinear optics Category Electronic test equipment de Homodyne Detektion ... more details
Anomaly detection , also referred to as outlier detection ref cite journal author Hans Peter Kriegel , Peer Kr ger, Arthur Zimek title Outlier Detection Techniques Tutorial journal 13th Pacific Asia Conference ... Anomaly Detection A Survey , ACM Computing Surveys, Vol. 41 3 , Article 15, July 2009 ref The patterns ... detection , the interesting objects are often not rare objects, but unexpected bursts in activity ..., and many outlier detection methods in particular unsupervised methods will fail on such data, unless ... the micro clusters formed by these patterns. Three broad categories of anomaly detection techniques exist. Unsupervised anomaly detection techniques detect anomalies in an unlabeled test data set under ... that seem to fit least to the remainder of the data set. Supervised anomaly detection techniques ... of outlier detection . Semi supervised anomaly detection techniques construct a model representing ... to be generated by the learnt model. cn date October 2011 Applications Anomaly detection is applicable in a variety of domains, such as intrusion detection , fraud detection , fault detection, system health monitoring, event detection in sensor networks, and detecting eco system disturbances ... papers smith.ijcnn2011.pdf ref Popular techniques Several anomaly detection techniques have been proposed ... detection. Pointing at records that deviate from association rules Application to data security Anomaly detection was proposed for Intrusion detection systems IDS by Dorothy Denning in 1986. ref Denning, Dorothy, An Intrusion Detection Model, Proceedings of the Seventh IEEE Symposium on Security and Privacy, May 1986, pages 119 131. ref Anomaly detection for IDS is normally accomplished with thresholds ... SnP90.pdf Adaptive Real time Anomaly Detection Using Inductively Generated Sequential ..., Robert S., Computer System Intrusion Detection A Survey, Technical Report, Department of Computer Science, University of Virginia, Charlottesville, VA, 1999 ref The counterpart of Anomaly detection ... more details
Multiple issues orphan July 2008 onesource July 2008 context July 2008 confusing July 2008 Multiuser detection also known as joint detection is one of the Receiver radio receiver design technology for detecting desired signal s from Interference communication interference and noise. Traditionally single user receiver is known suffering from the so called near far problem , where a near by or strong signal source may block the signal receiption of far away or weak user s . The near far is more serious in CDMA liked wireless multi user communication systems. And multiuser detection techniques can help the receiver solve this problem ref cite journal url http to.swang.googlepages.com CDG TowardForwardLinkInterferenceCan.pdf title Toward Forward Link Interference Cancellation author Shu Wang, Sang G. Kim, Soonyil Kwon, & Hobin Kim publisher http www.cdg.org news events CDMASeminar 060420 NetworkCap CDMA Development Group Technology Forum year 2006 location San Francisco, CA ref . References Reflist DEFAULTSORT Multiuser Detection Category Mobile technology ... more details
Novelty detection is the identification of new or unknown data or signals that a machine learning system is not aware of during training ref name markou M. Markou, S. Singh, Novelty detection A review, part 1 Statistical approaches, Signal Processing 83, 2481 2497, 2003 ref . Novelty detection is one class classification ref http homepage.tudelft.nl n9d04 thesis.pdf Tax, D. 2001 One class classi cation Concept learning in the absence of counter examples. Doctoral Dissertation, University of Delft, The Netherlands. ref . The known data form one class, and a novelty detection method tries to identify outlier s that differ from the distribution of ordinary data, which formed the single data class ref name markou . Compared to multi class classification , one class classification is useful if outliers are sparse compared to ordinary data. References Reflist computer stub Category Classification algorithms ... more details
In signal analysis , beat detection is using computer software or computer hardware to detect the beat of a music al score. There are many methods available and beat detection is always a tradeoff between accuracy and speed. Beat detectors are common in music visualization software such as some Media player application software media player plugins. The algorithm s used may utilize simple statistical models based on sound energy or may involve sophisticated comb filter networks or other means. They may be fast enough to run in Real time computing real time or may be so slow as to only be able to analyze short sections of songs. External links http www.owlnet.rice.edu elec301 Projects01 beat sync beatalgo.html Beat This Beat Detection Algorithm Category Signal processing music software stub ... more details
Unreferenced date March 2009 In information security , intruder detection is the art of detecting intruders behind attacks as unique persons . This technique tries to identify the person behind an attack by analyzing their computational behaviour. This concept is sometimes confused with Intrusion Detection also known as IDS techniques which are the art of detecting intruder actions . Theory Intruder Detection Systems try to detect who is attacking a system by analyzing his or her computational behaviour or biometric behaviour. Some of the parameters used to identify a person Keystroke Dynamics aka keystroke patterns, typing pattern, typing behaviour Patterns using an interactive command interpreter Commands used Commands sequence Accessed directories Character deletion Patterns on the network usage IP address used ISP Country City Ports used TTL analysis Operating system used to attack Protocols used Connection times patterns Keystroke dynamics Keystroke dynamics is paramount in Intruder Detection techniques because it is the only parameter that has been classified as a real behavioural biometric pattern . Keystroke dynamics analyze times between keystrokes issued in a computer keyboard or cellular phone keypad searching for patterns. First techniques used statistics and probability concepts like standard deviations and Mean , later approaches use data mining , neural network s, Support Vector Machine , etc. History Some other earlier works reference the concept of Intruder Authentication, Intruder Verification, or Intruder Classification, but the Si6 project was one of the first projects to deal with the full scope of the concept. Translation confusion There is a confusion with the Spanish translation of Intrusion detection system , also known as IDS. Some people translate ... Intrusos Fact date March 2009 . Only the former is correct. See also Intrusion Detection Intrusion detection system Biometrics External links http lcamtuf.coredump.cx p0f.shtml P0f OS fingerprinting ... more details
Character encoding detection , charset detection , or code page detection is the process of heuristic ally guessing the character encoding of a series of bytes that represent text. This algorithm usually involves statistical analysis of byte patterns, like frequency distribution of trigraphs of various languages encoded in each code page that will be detected such statistical analysis can also be used to perform language detection . This process is not foolproof because it depends on statistical data for example, some versions of the Microsoft Windows Windows operating system would mis detect the phrase Bush hid the facts in ASCII as Chinese UTF 16LE . One of the few cases where charset detection works reliably is detecting UTF 8 . This is due to the large percentage of invalid byte sequences in UTF 8, so that text in any other encoding that uses bytes with the high bit set is extremely unlikely to pass a UTF 8 validity test. Unfortunately badly written charset detection routines do not run the reliable UTF 8 test first, and may decide that UTF 8 is some other encoding. Due to the unreliability of heuristic detection, it is better to properly label datasets with the correct encoding. For example, HTML documents can declare their encoding in a code meta code element, thus meta http equiv Content Type content text html charset UTF 8 Alternatively, when documents are conveyed through HTTP , the same metadata can be conveyed out of band using the Content type header. Finally, if a Unicode encoding is used, text files can be explicitly labeled with an initial byte order mark . See also International Components for Unicode A library that can perform charset detection. External links http msdn.microsoft.com en us library aa920101.aspx IMultiLanguage2 DetectInputCodepage http www.icu project.org apiref icu4c ucsdet 8h.html API reference for ICU charset detection http cpdetector.sourceforge.net usage.shtml Reference for cpdetector charset detection http www archive.mozilla.org ... more details
refimprove date June 2010 The Detection Club was formed in 1930 by a group of British Mystery fiction mystery writers, including Agatha Christie , Dorothy L. Sayers , Freeman Wills Crofts , Arthur Morrison , John Rhode , Jessie Louisa Rickard Jessie Rickard , Baroness Emma Orczy , R. Austin Freeman , G.D.H. Cole , Margaret Cole , E.C. Bentley , and H.C. Bailey . Anthony Berkeley was instrumental in setting up the club, and the first president was G.K. Chesterton . There was a fanciful initiation ritual with an oath probably written by either Chesterton or Dorothy L. Sayers , and the club held regular dinner meetings in London. Guidelines In addition to meeting for dinners and helping each other with technical aspects in their individual writings, the members of the club agreed to adhere to a Knox ... the Yard 1936 US title is Six Against Scotland Yard 1936 though not sponsored by the Detection Club, all but one of the authors were club members Double Death An Exercise in Detection aka Double Death A Murder Story 1939 though not sponsored by the Detection Club, two of the authors were club members Detection Medley 1939 US title, Line Up, 1940 short stories, some original, some reprints Mystery Playhouse presents The Detection Club January 1948 six 30 minute radio plays by club members ... birthday, edited by H.R.F. Keating The Detection Collection 2005 original short stories in recognition ... links http www.cs.appstate.edu sjg detectionclub.html Detection Club list of publications http www.sfu.ca english Gillies Engl38301 oath.htm Detection Club admission ceremony and oath http hem.passagen.se orange deteclub.htm List of members Category Detective fiction Category Members of the Detection Club Category Clubs and societies in England Category Organizations established in 1930 de Detection Club et Detection Club es Detection Club fr Detection Club it AA.VV. ja no The Detection Club pt Detection Club ru ... more details
Image Explosive detection dog, CBP.jpg right thumb A U.S. Customs and Border Protection officer with an explosive detection dog Explosive detection is a non destructive inspection process to determine whether a container contains explosive material . Explosive detection is commonly used at airport s, port s and for border control . Detection tools Dogs Specially trained dog s can be used to detect explosives using their noses which are very sensitive to Dog Smell scents . While very effective, their usefulness ... to provide, generally a passive response. The explosive detection canine was originated at the Metropolitan ... tech start ups date 2007 09 05 publisher BBC.co.uk ref Mechanical scent detection main Machine olfaction ... pressure and will therefore be slower. Gas chromatography GC is often coupled to the detection methods discussed above in order to separate molecules before detection. This not only improves ... threat resolution protocols. Citation needed date July 2008 X ray detection is also used to detect ... dn9715 title Analysis Explosive detection technologies author Will Knight date 10 August 2006 publisher ... and oxygen, which the machine is able to detect. Citation needed date July 2008 Detection aids A taggant detection taggant can be added when explosives are made to make detection easier. The Montreal ... added as a detection taggant. ref http www.explosia.cz en ?show semtex ref DMDNB is a common taggant ... for Detection Regulations 1996. ref http www.opsi.gov.uk si si1996 Uksi 19960890 en 1.htm ref Bogus ... for the Selection of Commercial Explosives Detection Systems for Law Enforcement Applications NIJ Guide 100 99 , about the ongoing trend of Bogus explosives detection equipment being sold to unsuspecting ... 1999 09 publisher US Department of Justice NIJ ref blockquote A number of dowsing rod style detection ... 20DHS 20S&T 20Contract.pdf Syagen Technology to develop next generation, explosive trace detection system for Homeland Security DEFAULTSORT Explosive Detection Category Explosives detection ja ... more details
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