in the given environment. When motiondetection is accomplished by natural organisms, it is called motion perception . Motion can be detected by sound acoustic sensors , opacity optical and infrared ... can be placed on top of an object to detect if the object has moved. Mechanical motiondetection devices can often be circumvented to avoid detection by disrupting the devices mechanics e.g., by cutting the wire or emptying the water . Electronic devices 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 motion detectors, have sensors that detect movement and send a signal to a sound device that produces an alarm or switch on an image recording device. There are motion detectors ... later or viewed over a computer network . The chief applications for such detection are a detection of unauthorized entry, b detection of cessation of occupancy of an area to extinguish lighting and c detection of a moving object which triggers a camera to record subsequent events. The motion detector ... the over illumination illumination of unoccupied spaces . A simple algorithm for motiondetection by a fixed ... MotionDetection Algorithms In Image Processing http www.cs.rochester.edu u nelson research motion motion.html MotionDetection and Recognition Research Category Security ca Detector de moviment ...Cleanup date April 2010 Refimprove date April 2010 Motion can be detected by measuring change in speed .... Mechanical devices A tripwire is a simple form of motion detector. When an object steps into the tripwire ... to detect motion when the camera itself is moving, or when the motion of a specific object must ... surrounded by visitors in an art gallery . Occupancy Sensors for Lighting Control Motion sensors are often used in indoor spaces to control electric lighting. If no motion is detected, it is assumed ... 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. he Category Application software ... more details
Refimprove date June 2009 Generalise date September 2009 In general, detection is the extraction of particular information from a larger stream of information without specific cooperation from or synchronization with the sender. In the history of radio communications, the term detector radio detector was first used for a device that detected the simple presence or absence of a radio signal electronics signal , since all communications were in Morse code . The term is still in use today to describe a component that extracts a particular signal from all of the electromagnetic radiation electromagnetic waves present. Detection is usually based on the frequency of the carrier wave , as in the familiar frequencies of radio broadcasting , but it may also involve filtering a faint signal from noise , as in radio astronomy , or reconstructing a hidden signal, as in steganography . In optoelectronics , detection means converting a received optical input to a electrical output. For example, the light signal received through an optical fiber is converted to an electrical signal in a detector such as a photodiode . In steganography , attempts to detect hidden signals in suspected carrier material is referred to as steganalysis . Steganalysis has an interesting difference from most other types of detection, in that it can often only determine the probability that a hidden message exists this is in contrast to the detection of signals which are simply encryption encrypted , as the ciphertext can often be identified with certainty, even if it cannot be decoded. In the military , detection refers to the special discipline of reconnaissance with the aim to recognize the presence of an object in a location or ambiance. Finally, the art of detection , also known as following clues , is the work of a detective http www.webcitation.org query?url http ca.geocities.com t369 40rogers.com index.html ... information in a situation. See also Signal detection theory Category Communication Category ... more details
wikt 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 football , in gridiron football, a movement by an offensive player prior to the start of a play Motion album Motion album , an album by The Cinematic Orchestra 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 . Motion railway technology , the connecting rods and valve gear of a Steam locomotive Running gear steam locomotive Andrew Motion , English poet laureate Motion TV , an Outdoor activity program hosted produced by the Aiello brothers on the Live Well HD Network Live Well Network The Motions , a song by Matthew West See also Self motion disambiguation Move disambiguation lookfrom motion disambig ca Moviment desambiguaci de Bewegung es Movimiento fr Motion lv Kustibal nn rersle ro Motien ... 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
Automatic face detection with OpenCV Face detection is a computer technology that determines the locations ... anything else, such as buildings, trees 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 ... include upper torsos, pedestrians, and cars. Face detection can be regarded as a more general ... number of faces usually one . In face 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 ..., lighting, and pose. Techniques Many algorithms implement the face detection task as a binary classification ... cite web url http w3.ualg.pt ftomaz fr fr.php title Filipe Tomaz face detection and recognition publisher ... and would affect the results. A specific type of motion on faces is blinking. Detecting a blinking ... ECVNet IRS95 node13.html title Finding a face by blink detection publisher Prima.imag.fr date ... boundary within the face. A face model can contain the appearance, shape, and motion of faces ... is able to track face movements. A method for human face detection from color videos or images ... detection is used in biometrics , often as a part of or together with a facial recognition system . It is also ... recent digital cameras use face detection for autofocus. ref cite web url http www.dcresource.com reviews ... date accessdate 2011 02 15 ref 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 .... Face detection is also being researched in the area of energy conservation. ref http portal.acm.org.offcampus.lib.washington.edu ... algorithms Viola Jones object detection framework Schneiderman & Kanade 2000 ref http www.robots.ox.ac.uk ... Face Detection 1998 ref http www.ri.cmu.edu pub files pub1 rowley henry 1998 1 rowley henry 1998 1.pdf ... 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 . Category Object recognition and categorization Category Surveillance Category Applications of computer vision Compsci stub 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 player. 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 ..., the collision detection algorithm need not be aware of the myriad physical variables a simple ... bodies. The collision detection algorithm doesn t need to understand friction, elastic collisions ... 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 ... step, 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 ... collision 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 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
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
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 on Knowledge Discovery and Data Mining PAKDD 2009 location Bangkok, Thailand year 2009 url ... Anomaly Detection A Survey , ACM Computing Surveys, Vol. 41 3 , Article 15, July 2009 ref The patterns ..., peculiarity, etc. Three broad categories of anomaly detection techniques exist. Supervised anomaly detection techniques learn a classifier using labeled instances belonging to normal and anomaly class, and then assign a normal or anomalous label to a test instance. Semi supervised anomaly detection ... anomaly detection techniques detect anomalies in an unlabeled test data set under the assumption that majority of the instances in the data set are normal. 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. It is often used in preprocessing to remove anomalous data from the dataset. Popular Anomaly Detection Techniques Several anomaly detection techniques have been proposed in literature. Some of the popular techniques ... analysis based outlier detection. Application to Data Security Anomaly detection was proposed for Intrusion detection systems IDS by Dorothy Denning in 1986. ref Denning, Dorothy, An Intrusion Detection .... ref Anomaly detection for IDS is normally accomplished with thresholds and statistics, but can also ... time Anomaly Detection Using Inductively Generated Sequential Patterns , 1990 IEEE Symposium on Security ... Detection A Survey, Technical Report, Department of Computer Science, University of Virginia, Charlottesville, VA, 1999 ref The counterpart of Anomaly detection in Intrusion detection is Misuse Detection . See also Change detection References references DEFAULTSORT Anomaly Detection Category ... 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 ... nucleus. Most detection approaches rely on detecting the various reaction products. Magnetic ... Nuclear magneton sub N sub , techniques for detection of the magnetic moment are too insensitive to use for neutron detection. Electric dipole moment Although the neutron is predicted to have an electric dipole moment, this has yet to be detected. Hence it is not a viable detection signature ... rate is too low to serve as the basis for a practical detector system. Classic neutron detection options As a result of these properties, detection approaches for neutrons fall into several major ... Measurement and Detection of Radiation publisher Taylor & Francis date 1995 2nd Edition location Washington ... detection. ref Cite journal last Mireshghi first A. authorlink coauthors Cho, G. Drewery, J.S. ... id accessdate 12 May 2010 ref Fast neutron detectors Detection of fast neutrons poses ... Neutron detection is used for varying purposes. Each application has different requirements for the detection ... neutron s. Particle physics Neutron detection has been proposed as a method of enhancing neutrino ... caused by neutrons varies with energy . Cosmic ray detection Secondary neutrons are one component ... nuclear material detection Special nuclear material s SNM such as Uranium 233 and Plutonium 239 decay ... in commerce. Experimental neutron detection Experiments that make use of this science include scattering ... more details
In Information Security , intrusion detection is the act of detecting actions that attempt to compromise the confidentiality , integrity or availability of a resource. When Intrusion detection takes a preventive measure without direct human intervention, then it becomes an Intrusion prevention system . Intrusion detection can be performed manually or automatically. Manual intrusion detection might take place by examining log files or other evidence for signs of intrusions, including network traffic. A system that performs automated intrusion detection is called an Intrusion detection system Intrusion Detection System IDS . An IDS can be either Host based intrusion detection system host based , if it monitors system calls or logs, or Network intrusion detection system network based if it monitors the flow of network packets. Modern IDSs are usually a Hybrid intrusion detection system combination ... of traffic or application data presumed to be malicious Signature based intrusion detection system misuse detection systems , and systems that compare activities against a normal baseline Anomaly based intrusion detection system anomaly detection systems . When a probable intrusion is discovered by an intrusion detection system IDS , typical actions to perform would be Data logging logging relevant ... of intrusion detection. However, some forms of automatic reaction can be implemented through the interaction of Intrusion Detection System s and access control systems such as firewall networking ... detection also known as outbound intrusion detection techniques. Intrusion prevention is an evolution of intrusion detection. Theory Fred Cohen published in 1984 that detection of computer viruses ..., Gunar, and Richards, Wynette, Foundations of Intrusion Detection, The IEEE Computer Security Foundations Workshop V, 1992 ref The purpose of an Intrusion detection system is to provide this rating ... For more information about intrusion detection and intrusion prevention Network Intrusion Detection ... more details
notability date December 2010 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 computer 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 IDS es 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 references 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
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 matching , video ... cite journal author H. Wang and M. Brady title Real time corner detection algorithm for motion ... . 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 to detect ..., there are several blob detection blob detectors that can be referred to as interest point ... 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 ... 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 .... The Harris & Stephens Plessey Shi Tomasi corner detection algorithm Harris and Stephens ref name ... y t math . UL The level curve curvature approach An earlier approach to corner detection is to detect ... corners under large scale variations in the image domain. LoG, DoG, and DoH feature detection LoG ref ... described in blob detection , however the LoG and DoG blobs do not necessarily make highly selective features, since these operators may also respond to edges. To improve the corner detection ... matrix Hessian of the image at the detection scale are examined in a similar way as in the Harris ... as to blob detection differential blob detectors such as the Laplacian Difference of Gaussian operator ... and Brady corner detection algorithm The Wang and Brady ref name wangbrady detector considers ... 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. 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 Category Machine learning computer 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
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. 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
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 archive.gamedev.net reference programming features beatdetection GameDev.net Beat Detection Algorithms http www.owlnet.rice.edu elec301 Projects01 beat sync beatalgo.html Beat This Beat Detection Algorithm Category Signal processing music software 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 an active research area in computer vision in recent years. Numerous approaches have been proposed. Holistic Detection Detectors are trained to search for pedestrians in the video frame by scanning the whole frame. The detector would fire if the image features inside the local search window meet certain criteria. Some methods employ global features such as edge template ref N. Dalal, B. Triggs, Histograms of oriented gradients for human detection , IEEE Computer Society Conference on Computer Vision ... of oriented gradients ref C. Papageorgiou and T. Poggio, A Trainable Pedestrian Detection system .... 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. References references DEFAULTSORT Pedestrian Detection ... 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. This type of analysis can require frequency distribution of trigraphs of various languages encoded in each code page that will be detected. 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 charset detection, it is usually 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. See also International Components for Unicode A library that can perform charset detection. External links http www.fas.org irp doddir army fm34 40 2 appb.pdf Frequency distributions of English trigraphs 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 www.mozilla.org projects intl chardet.html Mozilla Charset Detectors http jchardet.sourceforge.net Java port of Mozilla Charset Detectors character encoding Category ... 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
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
The threat of radiological attacks has led several organizations to develop specially designed nuclear detection systems. These systems differ in design and abilities. http www.sandia.gov news resources releases 2007 scatter.html Neutron Scatter Camera Sandia National Labs http pst.pppl.gov tt projects MINDS.htm MINDS Miniature Integrated Nuclear Detection System Princeton Plasma Physics Lab Center for Neutron Research NIST See also http www.sciencedaily.com releases 2007 11 071123203623.htm Neutron Scatter Camera Detects Shielded Radiation To Find Smuggled Nuclear Material , Science Daily , November 26, 2007 Nuclear MASINT Category Nuclear materials Category Nuclear safety nuclear stub ... more details
In analytical chemistry , the detection limit , lower limit of detection , or LOD limit of detection , is the lowest quantity of a substance that can be distinguished from the absence of that substance ... detection limit file L03540 ref ref citation doi 10.1021 ac50064a004 last1 MacDougall first1 Daniel ... 1980 ref The detection limit is estimated from the mean of the blank, the standard deviation of the blank and some confidence factor. Another consideration that affects the detection limit is the accuracy ... of different detection limits that are commonly used. These include the instrument detection limit IDL , the method detection limit MDL , the practical quantification limit PQL , and the limit of quantification ..., the limit of detection LOD , and the limit of quantification LOQ by showing the probability density .... Image LOD.png right 400px frame Instrument detection limit Most analytical instruments produce a signal ... from the measured concentrations of those standards. Method detection limit Many times there is more ... for error. Since detection limits are defined in terms of error, this will naturally increase the measured detection limit. This detection limit with all steps of the analysis included is called ... the expected limit of detection. The standard deviation is then determined. The one sided t distribution ... the complete analysis of seven identical samples, if the Instrument Detection Limit is known, the MDL may be estimated by multiplying the Instrument Detection Limit or Lower Level of Detection by the dilution ... different between labs so another detection limit is commonly used that is referred to as the Practical ... difficult to understand the concept of detection limit. The following example may help to clarify ... to become LOD. Detection limits are dependent on both the signal intensity voice and the noise jet noise ... Java applet to illustrate some basic ideas of the limit of detection problem http www.chemometry.com ... and an extensive list of references BranchesofChemistry DEFAULTSORT Detection Limit Category Analytical ... more details
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