Letteratura scientifica selezionata sul tema "Detection and location"

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Articoli di riviste sul tema "Detection and location":

1

Baidari, Dr Ishwar, e S. P. Sajjan. "Location Based Crime Detection Using Data Mining". Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (31 ottobre 2016): 208–12. http://dx.doi.org/10.9756/bijsesc.8279.

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Decker, Brooke K., e Tara N. Palmore. "Waterborne Pathogen Detection More than Just “Location, Location, Location…”". Infection Control & Hospital Epidemiology 35, n. 2 (febbraio 2014): 130–31. http://dx.doi.org/10.1086/675067.

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3

Rodger, C. J., J. B. Brundell e R. L. Dowden. "Location accuracy of VLF World-Wide Lightning Location (WWLL) network: Post-algorithm upgrade". Annales Geophysicae 23, n. 2 (28 febbraio 2005): 277–90. http://dx.doi.org/10.5194/angeo-23-277-2005.

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Abstract. An experimental VLF World-Wide Lightning Location (WWLL) network has been developed through collaborations with research institutions across the globe. The aim of the WWLL is to provide global real-time locations of lightning discharges, with >50% CG flash detection efficiency and mean location accuracy of <10km. While these goals are essentially arbitrary, they do define a point where the WWLL network development can be judged a success, providing a breakpoint for a more stable operational mode. The current network includes 18 stations which cover much of the globe. As part of the initial testing phase of the WWLL the network operated in a simple mode, sending the station trigger times into a central processing point rather than making use of the sferic Time of Group Arrival (TOGA). In this paper the location accuracy of the post-TOGA algorithm WWLL network (after 1 August 2003) is characterised, providing estimates of the globally varying location accuracy for this network configuration which range over 1.9-19km, with the global median being 2.9km, and the global mean 3.4km. The introduction of the TOGA algorithm has significantly improved the location accuracies. The detection efficiency of the WWLL is also considered. In the selected region the WWLL detected ~13% of the total lightning, suggesting a ~26% CG detection efficiency and a ~10% IC detection efficiency. Based on a comparison between all WWLL good lightning locations in February-April 2004, and the activity levels expected from satellite observations we estimate that the WWLL is currently detecting ~2% of the global total lightning, providing good locations for ~5% of global CG activity. The existing WWLL network is capable of providing real-time positions of global thunderstorm locations in its current form.
4

Bae Kim, Jong, e Myung Jin Bae. "Location based FDS Framework". International Journal of Engineering & Technology 7, n. 3.33 (29 agosto 2018): 72. http://dx.doi.org/10.14419/ijet.v7i3.33.18527.

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The FDS (Fraud Detection System) is a technological approach to prevent financial accidents by detecting abnormal behavior in financial transactions. In this paper, we present system components and considerations for efficient FDS construction and operation, and propose an optimized FDS operation framework based on IT governance. In addition, we propose a model that can improve the accuracy of abnormal transaction detection by using GPS information of user. This research is expected to be an operation model for Fintech based FDS that enables safe transactions without sacrificing the convenience of customers.
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Sharifi, Mohsen, Ali Aminfar e Elnaz Abdollahzadeh. "A Minimalist Path Detection Approach for Wireless Sensor Networks". International Journal of Distributed Sensor Networks 5, n. 5 (1 ottobre 2009): 576–95. http://dx.doi.org/10.1080/15501320802300198.

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Most object tracking techniques find the exact locations of an object, while many other applications are only interested in the object's path rather than its locations. This provides an opportunity to reduce the existing tracking methods' resource usage by only focusing on the path detection. Taking advantage of this opportunity, this article presents two new minimalist approaches for accurately detecting unknown available passages in a sensor field without requiring the exact locations of the objects. In the first approach, each sensor sends its own location to a base station when it senses an object of interest. The base station uses b-spline curves to build the object's path online. Since each sensor sends its location data just once per new path, the first approach is a minimalist approach. The second approach is offline and uses non-uniform rational b-spline (NURBS) curves. Since NURBS needs weighted locations, each sensor sends its own location in addition to the number of times it has sensed an object based on the object's weight. Using the same simulation models, both approaches greatly reduce power consumption and improve the accuracy of the computed paths. The NURBS approach has proved to be robust on false alarms and improves the accuracy of path detection up to 95 percent, which is very close to detecting the object's actual path.
6

Cheng, Yifang, Yehuda Ben-Zion, Florent Brenguier, Christopher W. Johnson, Zefeng Li, Pieter-Ewald Share, Aurélien Mordret, Pierre Boué e Frank Vernon. "An Automated Method for Developing a Catalog of Small Earthquakes Using Data of a Dense Seismic Array and Nearby Stations". Seismological Research Letters 91, n. 5 (22 luglio 2020): 2862–71. http://dx.doi.org/10.1785/0220200134.

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Abstract We propose a new automated procedure for using continuous seismic waveforms recorded by a dense array and its nearby regional stations for P-wave arrival identification, location, and magnitude estimation of small earthquakes. The method is illustrated with a one-day waveform dataset recorded by a dense array with 99 sensors near Anza, California, and 24 surrounding regional stations within 50 km of the dense array. We search a wide range of epicentral locations and apparent horizontal slowness values (0–15 s/km) in the 15–25 Hz range and time shift the dense array waveforms accordingly. For each location–slowness combination, the average neighboring station waveform similarity (avgCC) of station pairs &lt;150 m apart is calculated for each nonoverlapping 0.5 s time window. Applying the local maximum detection algorithm gives 966 detections. Each detection has a best-fitting location–slowness combination with the largest avgCC. Of 331 detections with slowness &lt;0.4 s/km, 324 (about six times the catalog events and 98% accuracy) are found to be earthquake P-wave arrivals. By associating the dense array P-wave arrivals and the P- and S-wave arrivals from the surrounding stations using a 1D velocity model, 197 detections (∼4 times of the catalog events) have well-estimated locations and magnitudes. Combining the small spacing of the array and the large aperture of the regional stations, the method achieves automated earthquake detection and location with high sensitivity in time and high resolution in space. Because no preknowledge of seismic-waveform features or local velocity model is required for the dense array, this automated algorithm can be robustly implemented in other locations.
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Li, Xuan, Dunant Halim e Xiaoling Liu. "A study of the effects of structural delamination location on delamina-tion detection using a non-linear chaotic oscillator method". INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, n. 2 (1 agosto 2021): 4701–8. http://dx.doi.org/10.3397/in-2021-2804.

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This work aims to investigate the effects of structural delamination location on the effectiveness of delamination assessment using a vibration-based non-linear chaotic oscillator method. The change in structural vibration characteristics due to delamination at different structural locations can pose a challenge for accurate delamination detection due to the possible weak changes in the measured vibration signal and the existence of noise that can corrupt the signal. Thus in this work, a chaotic oscillator method was used due to its sensitivity to relatively small changes in measured vibration signal and robustness to measurement noise. The effects of vibration sensing location on the sensitivity in detecting the location of delamination was also investigated in this work. The Lyapunov Exponent was used in conjunction with the chaotic oscillator as a damage index, for the purpose of defining an effective measure to locate the delamination damage in a laminated structure. The correlation between the damage index and vibration sensing location for different delamination locations was investigated for a laminated beam structure, with a method for finding an optimal location for vibration sensors proposed. It was found that a vibration sensor placed in selected structural regions can provide an increased level of sensitivity in detecting certain delamination locations. The results from this work also demonstrated the effectiveness of the developed method in determining an optimal placement for vibration sensors for delamination detection.
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Chen, Chao, Shuai Li e Y. Frank Chen. "An Accurate Detection and Location of Weld Surface Defect Based on Laser Vision". Key Engineering Materials 963 (13 ottobre 2023): 197–207. http://dx.doi.org/10.4028/p-vaqqo3.

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In order to effectively improve the efficiency of automatic detection and subsequent processing of welding defects in the construction field, this paper proposes a method for detecting and locating weld surface defects based on machine vision and laser vision. YOLOv5 is used for the initial detection and identification of weld hole defects to obtain the approximate location of the defect. Subsequently, the detailed features of the defect sites are extracted by scanning the approximate range of defect locations with a line laser 3D sensor based on the identification of weld defect holes. Finally, the defect location and depth are accurately located based on the extracted features. Experimental results show that the proposed method is capable of identifying weld surface hole defects with an accuracy rate of over 94%. Furthermore, the combination of the system with the line laser 3D sensor detection can significantly improve the accuracy compared to pure 2D visual inspection, while the manual measurement is neither convenient nor accurate. This indicates that the proposed system can be used for rapid and accurate feature information extraction of weld hole defects, making subsequent remedial welding in actual engineering more automatic and efficient.
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Yinsen Luan, Yinsen Luan, Bing Xu Bing Xu, Ping Yang Ping Yang e and Guomao Tang and Guomao Tang. "Optic flaws detection and location based on a plenoptic camera". Chinese Optics Letters 15, n. 4 (2017): 041102–41106. http://dx.doi.org/10.3788/col201715.041102.

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Kim, Yuna, Sangho Song, Hyeonbyeong Lee, Dojin Choi, Jongtae Lim, Kyoungsoo Bok e Jaesoo Yoo. "Regional Traffic Event Detection Using Data Crowdsourcing". Applied Sciences 13, n. 16 (19 agosto 2023): 9422. http://dx.doi.org/10.3390/app13169422.

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Accurate detection and state analysis of traffic flows are essential for effectively reconstructing traffic flows and reducing the risk of severe injury and fatality. For this reason, several studies have proposed crowdsourcing to resolve traffic problems, in which drivers provide real-time traffic information using mobile devices to monitor traffic conditions. Using data collected via crowdsourcing for traffic event detection has advantages in terms of improved accuracy and reduced time and cost. In this paper, we propose a technique that employs crowdsourcing to collect traffic-related data for detecting events that influence traffic. The proposed technique uses various machine-learning methods to accurately identify events and location information. Therefore, it can resolve problems typically encountered with conventionally provided location information, such as broadly defined locations or inaccurate location information. The proposed technique has advantages in terms of reducing time and cost while increasing accuracy. Performance evaluations also demonstrated its validity and effectiveness.

Tesi sul tema "Detection and location":

1

Luo, Anqi, e Lei Ge. "Indoor Location Detection using WLAN". Thesis, KTH, Kommunikationssystem, CoS, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91200.

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The thesis seeks to improve the accuracy of indoor wireless local area network (WLAN) location detection. The main task of the project is the design and analysis of a solution, which utilizes the packets which are already emitted by WLAN devices. The system consists of a signal receiver and signal processing. The positioning system does not transmit, thus the detection is completely passive. The result of measurements on received frames is used to calculate the WLAN transmitter's position. It does not require any transmissions, thus the detection is completely passive. The result of the measurements can be used to calculate the WLAN transmitter’s position. Location systems are more and more viewed as a necessary element of a WLAN system. Positioning accuracy is the most important issue in location system, especial in the indoor WLAN location detection. Indoor location systems are affected by indoor environment both due to multi-path and man-made effects. To resist these problems, we introduce a way to detect the arrival of the first instance of the signal by detecting the signal header. In our experiment, we timestamp the arrival of an IEEE 802.11b header. In our prototype the logic necessary to do this is implemented in an FPGA, specifically that of the Ettus Research USRP. The additional logic is quite small and might easily be added to the receiver in an access point, thus reducing the deployment cost of a location system in a real network. The proposed solution was experimentally verified. From our experiments, the detection works without requiring any changes to the hardware or software of the mobile device. By exploiting existing IEEE 802.11b transmissions the cost and difficulty of deployment is simplified due to the wide usage of IEEE 802.11b in mobile devices. Additionally, the preamble has good correlation properties making it is easy to detect the arrival of a IEEE 802.11frame. Our implementation is based upon open source hardware and software making it possible to implement this solution. A relatively low cost FPGA can be used as the correlation and timestamp circuit is rather simple (in terms of numbers of gates), making this solution feasible for commercial implementation. The method, implementation, testing, and analysis are presented in detail in the thesis.
Avhandlingen syftar till att förbättra noggrannheten i inomhus trådlösa lokala nätverk (WLAN) placering upptäckt. Huvuduppgiften för projektet är design och analys av en lösning som utnyttjar paketen som redan avges av WLAN-enheter. Systemet består av en signal mottagare och signalbehandling. Det kräver inga transmissioner, alltså upptäckt är helt passiv. Resultatet av mätningarna kan användas för att beräkna WLAN-sändarens läge. Målet är att förbättra noggrannheten i inomhus plats uppskattning. Läge system alltmer ses som en nödvändig del av WLAN system. Positioneringsnoggrannheten ses som den viktigaste frågan i läge system, speciellt för inomhusbruk WLAN baserade location. Läge system påverkas mer av inomhusmiljöer än utemiljön, eftersom det finns mer multi-path fading och konstgjorda effekter. Att minska dessa problem, vi införa ett sätt att känna av signalen ankomst genom att förbättra upptäckten av ankomsten av IEEE 802.11-huvudet. Detta kan bidra till att besegra multipath effekt och enkla metoden skulle kunna minska kostnaderna för placering i framtiden kopplingspunkter. Den föreslagna lösningen har verifierats experimentellt. Från vårt experiment fungerar upptäckt utan att kräva några ändringar i hårdvara eller mjukvara för den mobila enheten. Genom att utnyttja befintliga IEEE 802.11b sändningar kostnaden och svårigheten att utbyggnaden är förenklad på grund av den breda användningen av IEEE 802.11b i mobila enheter. Dessutom "preamble" har god korrelation egenskaper som gör det lätt att upptäcka ankomsten av en IEEE 802.11-ramen. Vår genomfört bygger på öppen källkod maskin-och programvara som gör det möjligt att genomföra denna lösning. En relativt låg kostnad FPGA kan användas som korrelation och tidstämpel kretsen är ganska enkel (i termer av antalet logikelement), vilket gör denna lösning vara möjlig för kommersiell tillämpning. Metoden, implementation, testning och analys presenteras i detalj i avhandlingen.
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Pal, Maninder. "Leak detection and location in polyethylene pipes". Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/15181.

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This thesis is focused on the application of cross-correlation technique for leak detection and location in medium density polyethylene (MDPE) pipes. A leaking water pipe generates noise that depends primarily on water pressure, pipe characteristics and the leak size and shape. This noise, commonly called leak signals, can be used for the purpose of leak detection and leak location in MDPE pipes. A correlation technique is typically employed to detect, position and characterise these water leaks and is proved to be very efficient for metallic pipes. However, the same is not true for MDPE pipes where the attenuation rate with distance of the leak/source signal is very high, and the generated leak signals are of low frequency and narrow bandwidth. In order to locate leak with good accuracy in MDPE pipes, the correlation process relies on the estimation of speed of leak signals in water/pipe and the time delay between leak signals measured at two locations. For time delay estimation, a correlation function is used. Its accuracy depends upon the sharpness of the correlation peak, type and positioning of sensor, and the processing of signals obtained, which in turn further depends upon the characteristics of leak signals. In MDPE pipes, leak signals are of low frequency and narrow bandwidth; however, their frequency response is not well characterised. Therefore, this thesis presents an analytical model to explain the acoustic characteristics of leak signals in MDPE pipes. The model is used to study the effects of the cut-off frequencies of low, high and band pass digital filters and the selection of acoustic/vibration sensors for the correlation technique. It detailed the importance of the cut-off frequency of the high pass filter and the insensitivity of the correlation function to the cut off frequency of the low pass filter.
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Schoeffel, Hans-Joachim. "Accurate location of subcrustal earthquakes and geodynamic implications". Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325571.

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Lee, Jeong Heon. "Physical Layer Security for Wireless Position Location in the Presence of Location Spoofing". Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/26417.

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While significant research effort has been dedicated to wireless position location over the past decades, most location security aspects have been overlooked. Recently, with the proliferation of diverse wireless devices and the desire to determine their position, there is an increasing concern about the security of location information which can be spoofed or disrupted by adversaries or unreliable signal sources. This dissertation addresses the problem of securing a radio location system against location spoofing, specifically the characterization, analysis, detection, and localization of location spoofing attacks by focusing on fundamental location estimation issues. The objective of this dissertation is four-fold. First, it provides an overview of fundamental security issues for position location, particularly associated with range-based localization. Of particular interest are security risks and vulnerabilities in location estimation, types of localization attacks, and their impact. The second objective is to characterize the effects of signal strength and beamforming attacks on range estimates and the resulting position estimate. The characterization can be generalized to a variety of location spoofing attacks and provides insight into the anomalous behavior of range and location estimators when under attack. Through this effort we can also identify effective attacks that are of particular interest to attack detection and localization. The third objective is to develop an effective technique for attack detection which requires neither prior environmental nor statistical knowledge. This is accomplished by exploiting the bilateral behavior of a hybrid framework using two received signal strength (RSS) based location estimators. We show that the resulting approach is effective at detecting attacks with the detection rate increasing with the severity of the induced location error. The last objective of this dissertation is to develop a localization method resilient to attacks and other adverse effects. Since the detection and localization approach relies solely on RSS measurements in order to be applicable to a wide range of wireless systems and scenarios, this dissertation focuses on RSS-based position location. Nevertheless, many of the basic concepts and results can be applied to any range-based positioning system.
Ph. D.
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Bonnici, Heidi M. "Automated hippocampal location and extraction". Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4434.

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The hippocampus is a complex brain structure that has been studied extensively and is subject to abnormal structural change in various neuropsychiatric disorders. The highest definition in vivo method of visualizing the anatomy of this structure is structural Magnetic Resonance Imaging (MRI). Gross structure can be assessed by the naked eye inspection of MRI scans but measurement is required to compare scans from individuals within normal ranges, and to assess change over time in individuals. The gold standard of such measurement is manual tracing of the boundaries of the hippocampus on scans. This is known as a Region Of Interest (ROI) approach. ROI is laborious and there are difficulties with test-retest and inter-rater reliability. These difficulties are primarily due to uncertainty in designation of the hippocampus boundary. An improved, less labour intensive and more reliable method is clearly desirable. This thesis describes a fully automated hybrid methodology that is able to first locate and then extract hippocampal volumes from 3D 1.5T MRI T1 brain scans automatically. The hybrid algorithm uses brain atlas mappings and fuzzy inference to locate hippocampal areas and create initial hippocampal boundaries. This initial location is used to seed a deformable manifold algorithm. Rule based deformations are then applied to refine the estimate of the hippocampus locations. Finally, the hippocampus boundaries are corrected through an inference process that assures adherence to an expected hippocampus volume. The ICC values of this methodology when compared to the manual segmentation of the same hippocampi result in a 0.73 for the left and 0.81 for the right hippocampi. These values both fall within the range of reliability testing according to the manual ‘gold standard’ technique. Thus, this thesis describes the development and validation of a genuinely automated approach to hippocampal volume extraction of potential utility in studies of a range of neuropsychiatric disorders and could eventually find clinical applications.
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Becker, Brian Alan. "Transient fault detection using a watchdog processor". Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-11102009-020108/.

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Li, Miao. "Intelligent power systems: Detection and location of line outages". Thesis, Li, Miao (2014) Intelligent power systems: Detection and location of line outages. Other thesis, Murdoch University, 2014. https://researchrepository.murdoch.edu.au/id/eprint/25670/.

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In recent decades, the stability of large power system has attracted much attention. There are many different factors that leading to power system collapse and cause large area blackouts. For example, as demands of consumption grows, the influence of harmonic components and reactive power constraints may cause failure in the power system (Jiao 2011).These factors are usually very difficult to predict in the real world. One of the most important parts of modern power system is the transmission line. With the increased demand for electricity and the scale-up of power networks, the number of long distance transmission lines has increased. They are exposed to different environments such as different weather conditions such as high temperatures or lightning and different terrains such as mountains or canyons. When a line outage happens, it can be very hard to detect the fault’s location and searching and replacing the power line may take quite a long time. This can cause inestimable damage to customers and nations. Even after successfully restoring the power, continuous monitoring of the power system is still needed. Improved monitoring of the power system status could avoid future failure events that could render significant losses to the economy. The recent method called synchronized phasor measurement allows for real-time monitoring of the entire power system and therefore can be used to detect faults as they occur. Actually, it is the only method that can observe multiple buses in the power system. One such application is the detection of line outages in remote or unobserved parts of the system (Mahoney 2011). A novel algorithm based on DC power flow which can detect line outages effectively will be introduced in this thesis report. Reviewing the concept of DC power flow is an essential part of this report. The simulation softwares used in the report are Power Factory and MATLAB. Finally, the efficiency of the novel algorithm will be assessed. Some suggestions for future works will be presented at the end of this report.
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Sullivan, Michael R. "Leak detection in gas transmission pipelines". Thesis, Curtin University, 2003. http://hdl.handle.net/20.500.11937/881.

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This dissertation applies a commercial flow simulation software package together with common signal processing techniques to the task of accurately detecting leakage in a large commercial gas pipeline. The techniques developed significantly improved the ability to produce accurate, reliable and stable leak detection predictions for the gas transmission pipeline studied and can be applied generally to other pipelines as well. Recommendations for minimum pipeline requirements to implement successful leak detection are also detailed. There are several commercial software packages available that perform some form of leak detection via system modelling. However, due to the commercial aspects of these products, vendors do not publish the detailed methods of leak detection. This thesis identifies the fundamental techniques required to have accurate and reliable leak detection on a gas transmission pipeline, whilst taking into account the lack of measurement data typically encountered on most gas pipelines. The investigation confirmed that a mass balance technique could be successfully used to produce stable leak detection results for compressible flow in gas transmission pipelines. This leak detection [using mass balance] can be achieved without flow measurement along the pipeline, instead, using only pressure and temperature measurements. Although it is recognized that flow measurement data will greatly improve the ability to detect leaks, the focus of this work is on pipelines where this flow measurement data at intermediate points along the pipeline is not available. It was also demonstrated the reliability of the leak detection was improved by the application of on-line signal processing techniques at various stages of the data processing.It was clear early into the investigation that the majority of the errors within the leak detection model were created by random errors from the input field data. These non-systematic errors from the measurement data that included pressure and temperature, produced interference with model output. This interference resembled random “white” noise that was removed by a combination of well established data filtering techniques. The most appropriate process of calculating leak detection flow was determined after analysing the results of different techniques applied to large quantities of actual pipeline operating data. The validation of the on-line techniques developed provides a valuable resource for those wishing to implement similar leak detection schemes elsewhere. Furthermore a software environment was chosen which incorporated an open input and output platform for data that could be interfaced with any operating system. Therefore these techniques can be applied to the numerous Supervisory Control and Data Acquisition (SCADA) systems in operation throughout the gas transmission industry, to provide a low cost solution to leak monitoring.
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Groh, Brittany Nicole. "Impact of Expressive Intensity and Stimulus Location on Emotion Detection". TopSCHOLAR®, 2017. https://digitalcommons.wku.edu/theses/2020.

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Previous research demonstrates that the age of an observer, the peripheral location of a face stimulus on a display, and the intensity of the emotion expressed by the face all play a role in emotion perception. Older individuals have more difficulty identifying emotion in faces, especially at lower expressive intensities. The purpose of the current study was to understand how younger and older adults’ abilities to detect emotion in facial stimuli presented in the periphery would be affected by the intensity of the emotional expressions and the distance that the expressions are presented away from the center of the display. The current study presented facial stimuli for a short duration to bypass reactionary attentional influences. More intense fearful and angry expressions were expected to be easier to classify for both younger and older adults than lower intensity expressions, but all expressions were expected to become more difficult to classify when presented further in the periphery. Older adults and younger adults displayed similar emotion detection for typical and extreme intensity angry expressions and for high intensity fearful expressions. However, older adults struggled to detect typical intensity fear, and this deficit grew with the angle of eccentricity from which the stimuli were presented from the center of the display. Possible explanations for these age differences are discussed.
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Wang, Haibo, e 王海波. "Fault detection and fault-tolerant control for dynamic systems". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B42576842.

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Libri sul tema "Detection and location":

1

Gössel, Michael. Error detection circuits. London: McGraw-Hill, 1993.

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Simon, Léa M. Fault detection: Theory, methods and systems. New York: Nova Science Publishers, 2011.

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3

Forrest, R. N. Notes on search, detection and localization modeling. 2a ed. Monterey, Calif: Naval Postgraduate School, 1988.

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4

Don, Russell B., e IEEE Power Engineering Society. Power Engineering Education Committee., a cura di. Detection of downed conductors on utility distribution systems. Piscataway, NJ: Available from Publication Sales Dept., IEEE Service Center, 1989.

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Roy, Falguni. Seismic signal detection using K-means clustering algorithm. Mumbai: Bhabha Atomic Research Centre, 2009.

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Zhang, X. J. Auxiliary signal design in fault detection and diagnosis. Berlin: Springer-Verlag, 1989.

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Gustafsson, Fredrik. Adaptive filtering and change detection. Chichester: Wiley, 2000.

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8

European Workshop on Fault Diagnostics, Reliability, and Related Knowledge-Based Approaches (2nd 1987 University of Manchester Institute of Science and Technology). Fault detection & reliability: Knowledge based & other approaches. Oxford [Oxfordshire]: Pergamon Press, 1987.

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Anderson, W. E. Final report: Technical contributions to the development of incipient fault detection, location instrumentation. Gaithersburg, Md: U.S. Department of Commerce, National Bureau of Standards, 1986.

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Anderson, W. E. Final report: Technical contributions to the development of incipient fault detection, location instrumentation. Gaithersburg, Md: U.S. Department of Commerce, National Bureau of Standards, 1986.

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Capitoli di libri sul tema "Detection and location":

1

Werner, Martin. "Event Detection for Indoor LBS". In Indoor Location-Based Services, 169–79. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10699-1_7.

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İnci, Mehmet Sinan, Berk Gulmezoglu, Thomas Eisenbarth e Berk Sunar. "Co-location Detection on the Cloud". In Constructive Side-Channel Analysis and Secure Design, 19–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43283-0_2.

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Hosseini, Saeid, Sayan Unankard, Xiaofang Zhou e Shazia Sadiq. "Location Oriented Phrase Detection in Microblogs". In Database Systems for Advanced Applications, 495–509. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05810-8_33.

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Perente, Osman Kerem, e Tacha Serif. "Server-Based Indoor Location Detection System". In Mobile Web and Intelligent Information Systems, 142–53. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97163-6_12.

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Sherbakov, G. N., V. N. Tkach e D. V. Tkachev. "Sub-Surface Location: Techniques and Equipment". In Detection of Bulk Explosives Advanced Techniques against Terrorism, 155–60. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-007-0962-1_17.

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Jia, Shaoyong, Yuding Liang, Xianyang Chen, Yun Gu, Jie Yang, Nikola Kasabov e Yu Qiao. "Adaptive Location for Multiple Salient Objects Detection". In Neural Information Processing, 411–18. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26555-1_46.

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Zhang, Shumei, Paul J. McCullagh, Chris Nugent, Huiru Zheng e Norman Black. "Reliability of Location Detection in Intelligent Environments". In Ambient Intelligence - Software and Applications, 181–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19937-0_23.

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Capdevila, Joan, Jesús Cerquides e Jordi Torres. "Event Detection in Location-Based Social Networks". In Studies in Big Data, 161–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53474-9_8.

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Malmasi, Shervin, e Mark Dras. "Location Mention Detection in Tweets and Microblogs". In Communications in Computer and Information Science, 123–34. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0515-2_9.

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Boulay, J. L. "Detection and Location of Intracloud Lightning Discharges". In Environmental and Space Electromagnetics, 603. Tokyo: Springer Japan, 1991. http://dx.doi.org/10.1007/978-4-431-68162-5_62.

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Atti di convegni sul tema "Detection and location":

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Heng, Liang, Athindran R. Kumar e Grace X. Gao. "Location Hash: Enabling Proximity Detection While Preserving Location Privacy". In 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016). Institute of Navigation, 2016. http://dx.doi.org/10.33012/2016.14549.

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Onur, Tugba Ozge, e Rifat Hacioglu. "Ultrasonic location detection with waveguide". In 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830481.

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3

Alam, M. S., S. Alsharif e N. Haq. "Efficient wireless location detection system". In SPIE Defense, Security, and Sensing, a cura di Sohail A. Dianat e Michael D. Zoltowski. SPIE, 2010. http://dx.doi.org/10.1117/12.850147.

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Zou, Yanyan, e Wei Lu. "Joint Detection and Location of". In Proceedings of the 2019 Conference of the North. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/n19-1217.

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Colbourn, Charles J., e Violet R. Syrotiuk. "Coverage, Location, Detection, and Measurement". In 2016 IEEE Ninth International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 2016. http://dx.doi.org/10.1109/icstw.2016.38.

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Lim, Jaehyun, Jonggeun Park e Chulhee Lee. "Vision-based speaker location detection". In Electronic Imaging 2005, a cura di Amir Said e John G. Apostolopoulos. SPIE, 2005. http://dx.doi.org/10.1117/12.587326.

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Wang, Zhifei, Hua Wang e Jing Han. "High accuracy ground target location using loitering munitions platforms". In International Symposium on Photoelectronic Detection and Imaging 2011. SPIE, 2011. http://dx.doi.org/10.1117/12.900519.

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HUANG, XINLIANG, JIAXIN LI, YAN DING, PENGFEI LIU, WEIDONG LIANG e XIUJUAN ZHU. "LA-U2Net: location-aware U2Net for salient object detection". In Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, a cura di Shining Zhu, Qifeng Yu, Junhong Su, Lianghui Chen e Junhao Chu. SPIE, 2022. http://dx.doi.org/10.1117/12.2623043.

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Hao, Ying, Yanfei Gao, Miao Yang e Chuyuan Wei. "A rotation-insensitive method of eyes location". In International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, a cura di Liwei Zhou. SPIE, 2007. http://dx.doi.org/10.1117/12.791516.

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Fu, Bin, Baiquan Zhao e Yang Cheng. "Monocular Camera Target Detection and Location". In 2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2019. http://dx.doi.org/10.1109/mmsp.2019.8901789.

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Rapporti di organizzazioni sul tema "Detection and location":

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Damiano, B., E. D. Blakeman e L. D. Phillips. Detection and location of mechanical system degradation by using detector signal noise data. Office of Scientific and Technical Information (OSTI), giugno 1994. http://dx.doi.org/10.2172/10158070.

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Damiano, B. Detection and Location of Mechanical System Degradation by Using Detector Signal Noise Data. Office of Scientific and Technical Information (OSTI), gennaio 1994. http://dx.doi.org/10.2172/814043.

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Lefave, J. P., e Leslie Karr. Underground Pipeline Leak Detection and Location Technology Application Guide. Fort Belvoir, VA: Defense Technical Information Center, aprile 1998. http://dx.doi.org/10.21236/adb236170.

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Kvaerna, T., S. Gibbons, F. Ringdal e D. Harris. Integrated Seismic Event Detection and Location by Advanced Array Processing. Office of Scientific and Technical Information (OSTI), febbraio 2007. http://dx.doi.org/10.2172/902233.

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Kumar. L52002 Man-Portable Magnetic Gradiometer for Buried Pipe Detection and Location. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), gennaio 2000. http://dx.doi.org/10.55274/r0011154.

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Abstract (sommario):
The detection and location of buried underground or submerged underwater pipes is of importance to the utility, natural gas, and petroleum industries. Current detection and location methods include ground penetrating radar (GPR), ground conductivity measurements, and magnetometers. GPR presents numerous problems, including signal attenuation in the ground and the presence of ground clutter. Ground conductivity measurements require that electrodes be planted in the ground and results may be affected by ground conditions. Magnetometers can detect ferrous pipes, or pipes with ferrous taggants, since ferrous material will distort the earth�s magnetic field. In addition magnetometers can detect buried conductors by measuring the magnetic field generated by the current in the conductor. However, presently used magnetometers cannot provide information about the exact location and depth of the pipe or conductor since they do not measure all the independent components of the magnetic field gradient at a given spatial location above ground.
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Balanis, Constantine A., e Mark Frank. Modeling and Reconstruction Algorithms for Detection, Location, and Identification of Subsurface Anomalies. Fort Belvoir, VA: Defense Technical Information Center, giugno 1990. http://dx.doi.org/10.21236/ada224358.

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Price, Donald. SM-403-148100-R01 Mineral Wells 2012 RAM Gas and Oil Leak Detection Field Study Results. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), dicembre 2015. http://dx.doi.org/10.55274/r0010851.

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Abstract (sommario):
In June 2012, the RAM Program conducted a comprehensive field study to evaluate the performance of current off the shelf sensor technologies for detecting gas and oil leaks on pipelines. This study had three key objectives: 1. Evaluate the capabilities of current technologies that are offered commercially for methane leak detection monitoring using standard pipeline patrol aircraft 2. Provide a test location for development of emerging technologies that are not yet commercially available for pipeline leak detection 3. Assess the feasibility of using airborne sensors to detect staged liquid oil leaks The field study was conducted on two of Enbridge�s operating pipelines located near Mineral Wells, Texas. This location provided realistic conditions for assessing the capabilities and limitations of automated sensor systems that are currently available for leak detection. Three airborne leak detection vendors (Lasen, Pergam, and New Era Technology), and one ground vehicle vendor (Picarro), completed the field study. The field study was performed as part of the 2012 PRCI RAM program that is primarily focused on leak detection technologies using aerial platforms. The study tested a range of sensors designed for gas leak detection using systems mounted on helicopters and fixed wing aircraft. Enbridge staged a series of controlled gas releases simulating pipeline gas leaks. Qualified operators released a series of prescribed natural gas leaks from 8 known locations along the pipelines in order to simulate transmission leaks of varying sizes. Additionally, Enbridge placed 8 liquid petroleum targets along the test pipelines. These gas and oil targets allowed for a direct comparison of technology performance against a known set of conditions. Standard leak patrol methods (ground survey with foot patrol) were also used to identify any emission sources other than the controlled releases. The results from the field study show that 3 of the 4 vendor sensor technologies tested are now feasible alternatives for gas leak detection. The findings for liquid leak detection were promising, but inconclusive due to plume overlaps between gas and oil targets. The sensors used by the vendors in this field test were optimized for detecting methane gas and not oil vapors. Therefore, until additional studies are performed on liquid hydrocarbon volatilization, it is premature to conclude that the tested technologies are or are not appropriate for oil leak detection.
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Kvaerna, T., Gibbons. S.J., F. Ringdal e D. B. Harris. Final Scientific Report, Integrated Seismic Event Detection and Location by Advanced Array Processing. Office of Scientific and Technical Information (OSTI), gennaio 2007. http://dx.doi.org/10.2172/898306.

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Zollweg, James E. Detection, Location, and Identification of Regional Seismic Events Using a Small Broadband Array. Fort Belvoir, VA: Defense Technical Information Center, marzo 2002. http://dx.doi.org/10.21236/ada400518.

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Nuttall, Albert E. Limiting Detection Performance for Random Signals of Unknown Location, Structure, Extent, and Strength. Fort Belvoir, VA: Defense Technical Information Center, marzo 1995. http://dx.doi.org/10.21236/ada292389.

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