Relevant bibliographies by topics / Signal behavior

Academic literature on the topic 'Signal behavior'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Signal behavior"

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Wang, Faya. "Multipacting electron signal behavior." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 698 (January 2013): 147–51. http://dx.doi.org/10.1016/j.nima.2012.09.056.

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Li, Xianfeng, Sen Xu, and Xiaopeng Hua. "Pattern Recognition of Grating Perimeter Intrusion Behavior in Deep Learning Method." Symmetry 13, no. 1 (January 6, 2021): 87. http://dx.doi.org/10.3390/sym13010087.

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An intrusion behavior recognition method based on deep learning is proposed in this paper in order to improve the recognition accuracy of raster perimeter intrusion behavior. The Mach–Zehnder fiber optic interferometer was used to collect the external vibration signal sensing unit, capture the external vibration signal, use the cross-correlation characteristic method to obtain the minimum frame length of the fiber vibration signal, and preprocess the intrusion signal according to the signal strength. The intrusion signals were superimposed and several sections of signals were intercepted by fixed window length; the spectrum information is obtained by Fourier transform of the intercepted stationary signals. The convolution neural network was introduced into the pattern recognition of the intrusion signals in the optical fiber perimeter defense zone, and the different characteristics of the intrusion signals were extracted, so as to realize the accurate identification of different intrusion signals. Experimental results showed that this method was highly sensitive to intrusion events, could effectively reduce the false alarm rate of intrusion signals, and could improve the accuracy and efficiency of intrusion signal recognition.
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de Pedro-Carracedo, Javier, Ana María Ugena, and Ana Pilar Gonzalez-Marcos. "Dynamical Analysis of Biological Signals with the 0–1 Test: A Case Study of the PhotoPlethysmoGraphic (PPG) Signal." Applied Sciences 11, no. 14 (July 15, 2021): 6508. http://dx.doi.org/10.3390/app11146508.

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The 0–1 test distinguishes between regular and chaotic dynamics for a deterministic system using a time series as a starting point without appealing to any state space reconstruction method. A modification of the 0–1 test allows for the determination of a more comprehensive range of signal dynamic behaviors, particularly in the field of biological signals. We report the results of applying the test and study with more details the PhotoPlethysmoGraphic (PPG) signal behavior from different healthy young subjects, although its use is extensible to other biological signals. While mainly used for heart rate and blood oxygen saturation monitoring, the PPG signal contains extensive physiological dynamics information. We show that the PPG signal, on a healthy young individual, is predominantly quasi-periodic on small timescales (short span of time concerning the dominant frequency). However, on large timescales, PPG signals yield an aperiodic behavior that can be firmly chaotic or a prior transition via an SNA (Strange Nonchaotic Attractor). The results are based on the behavior of well-known time series that are random, chaotic, aperiodic, periodic, and quasi-periodic.
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Zhang, Feng, Yi Nong Li, and Lei Wang. "Behavior Analysis of FxLMS Based on Deterministic Signal." Advanced Materials Research 403-408 (November 2011): 3262–66. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3262.

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In active vibration control, most of the signals to be eliminated are deterministic signals. Simulations are carried out using periodic sinusoidal reference signal based on FxLMS algorithm. Based on a deterministic reference signal input conditions, the paper provides a detailed behavior analysis due to the secondary-path model error and phase delay, the results will give theoretical basis by adjusting the FxLMS algorithm parameters to ensure convergence and to achieve the best control performance in practical applications.
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Anderson, Christopher, Amanda Zimmerman, Skylar Lewis, John Marmion, and Jeanette Gustat. "Patterns of Cyclist and Pedestrian Street Crossing Behavior and Safety on an Urban Greenway." International Journal of Environmental Research and Public Health 16, no. 2 (January 12, 2019): 201. http://dx.doi.org/10.3390/ijerph16020201.

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Greenways are linear open spaces, which are often used as trails for pedestrians and cyclists, but junctions with roads are a safety concern and act as a potential impediment to active transportation. This study evaluated crossing behavior patterns and safety at greenway–road junctions in New Orleans, LA. Crossing behaviors, safety and motor vehicle behavior were collected using direct observation methods. Intercept surveys were conducted to assess greenway use and safety perceptions. Logistic and negative binomial regression were used to assess the relationships between crossing signal (rectangular rapid flash beacon) activation and motor vehicle behavior. Fewer unsafe crossings occurred when the crossing signals were activated for cyclists and pedestrians (p-values of 0.001 and 0.01, respectively). There was no association between pedestrian use of crossing signals and motor vehicle stopping behavior but cyclists had significantly higher odds of motor vehicles failing to stop when the signal was activated (OR 5.12, 95% CI 2.86–9.16). The activation of rectangular rapid flash beacons at urban greenway junctions with roads did not influence motor vehicle behavior. Differences in crossing safety by signal use cannot be attributed to the signal’s influence on motor vehicle stopping behavior.
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Akassou, Imane, Sabina Avosani, Valentina Caorsi, Vincenzo Verrastro, Marco Ciolli, and Valerio Mazzoni. "Intrasexual Vibrational Behavior of Philaenus spumarius in Semi-Field Conditions." Insects 12, no. 7 (June 28, 2021): 584. http://dx.doi.org/10.3390/insects12070584.

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Insects that communicate by vibrational signals live in a complex interactive network of communication. Most studies on insect intrasexual behavior, based on plant-borne vibrational signals, have targeted few individuals. Despite their importance, behaviors that occur within groups were often overlooked. The study of multiple individuals, when insects occur in high density could simulate the environment in which they live and provide more reliable information on their behavior. In semi-field conditions, we investigated the intrasexual behavior of the meadow spittlebug, Philaenus spumarius. Vibrational signals exchanged among individuals of the same sex were recorded throughout their adult stage, from late spring to early autumn, and during the day, from the morning to the evening using a laser vibrometer. Males were less active than females throughout the season and their interactions were less frequent compared to females. Intrasexual interactions were characterized by signal overlapping in both unisex groups, in addition to signal alternating only in the case of males. In conclusion, the study of signaling behavior in intrasexual groups contributed to a better understanding of P. spumarius social behavior. We discuss the hypothesis of a possible competitive behavior between males and cooperative behavior between females.
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Li, Haitao, Xiang Chen, Yingke Lei, Pengcheng Li, and Caiyi Lou. "Identification of Shortwave Radio Communication Behavior Based on Autocorrelation Spectrogram Features." Wireless Communications and Mobile Computing 2022 (September 22, 2022): 1–14. http://dx.doi.org/10.1155/2022/8614952.

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Cognitive communication behavior is becoming a research hotspot in the field of communication confrontation. In theory, the behavioral intention of noncooperating parties can be obtained by analyzing communication signals. Considering the complexity of the actual electromagnetic environment, even when the signal-to-noise ratio (SNR) is low, a certain accuracy still needs to be guaranteed. In this paper, according to five types of physical burst waveforms defined by the shortwave radio interoperability standard, a signal feature extraction method based on autocorrelation spectrogram features is proposed, and a two-input convolutional neural network (CNN) for classification is designed to improve the identification ability of shortwave communication behavior. The experimental results illustrate that the five kinds of shortwave radio communication behaviors can be accurately identified even when the noise is large. The research in this paper can directly analyze the communication behavior through physical layer signal without demodulation, which has the ability to grasp the communication behavior of the shortwave radio station in real time.
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Yu, Ke, and Huapu Lu. "Effects of Countdown Signals in Red Phase on Drivers: A Comparative Study between Japan and Turkey." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/671589.

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Countdown signals can be found in many countries; however, there are only a few researches that study the impact of the signals on driver behavior. In this study, we focus particularly on the behavior of drivers reacting to countdown signals when the signal shifted from red to green. Although the countdown signal can reduce startup delay, it also causes drivers premature start. This paper determines the factors influencing the behaviors of drivers on startup delay, premature start, and headway due to countdown signals. The analysis results are compared between Japan and Turkey. From our findings, we propose countermeasures to reduce the problems caused by the countdown signals which can be a guideline for implementation or modification of countdown-signalized intersections in many countries in order to increase safety of both drivers and pedestrians as well as drivers’ satisfactions.
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Din, Zia Ud, and Leonhard E. Bernold. "Experimental study of signal behavior for wireless communication in construction." Construction Innovation 17, no. 4 (October 20, 2017): 475–91. http://dx.doi.org/10.1108/ci-11-2016-0061.

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Purpose The purpose of this study is to understand the effects of building components of a growing concrete structure and different building materials such as glass and steel on Wi-Fi signals propagation in a construction site. Wireless local area networks are considered effective tools to link the islands-of-communication in construction. Still, designing a Wi-Fi network that can grow with a new construction requires that one understands the performance of propagation of electromagnetic signals transmitted at 2.4 GHz. Design/methodology/approach This paper reviews the theoretical behavior of electromagnetic signals when signal attenuation is caused by various construction materials changing their strengths, directions and possibly leading to total absorption. The authors used a typical building layout to conduct experimental work to measure the effect of common building features and communication technologies on signal strengths. Findings The measured data not only confirmed the theory-based predictions but also demonstrated the complexity of predicting signal propagation when obstructions inhibit the line-of-sight “travel” of electromagnetic signals. Originality/value Different to other papers, the experiments were conducted outside a concrete building mimicking the situation where the transmitter is set up at the site office.
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Glaudas, Xavier, and Christopher T. Winne. "Do warning displays predict striking behavior in a viperid snake, the cottonmouth (Agkistrodon piscivorus)?" Canadian Journal of Zoology 85, no. 4 (April 2007): 574–78. http://dx.doi.org/10.1139/z07-025.

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Warning displays are defined as signals designed to intimidate predators or indicate a proclivity to fight. However, support for the idea that warning behaviors signal an intent to fight is largely based on anecdotes and isolated observations, and a complete understanding of antipredator behavior will only be achieved if specific hypotheses are experimentally tested. Herein, we tested in a North American viperid snake, the cottonmouth ( Agkistrodon piscivorus (Lacépède, 1789)), the hypothesis that warning displays serve as a reliable signal to potential predators that a snake will strike. The cottonmouth exhibits two stereotypical warning displays during predator confrontation, i.e., mouth gaping and tail vibrations, making it an ideal study organism to experimentally test the relationship between warning displays and defensive striking. To test this idea, we recorded the sequence of defensive behavior — gaping, tail vibrating, and striking — of cottonmouths towards a standardized predatory stimulus in the laboratory. As predicted, snakes that gaped during the trials were subsequently more likely to strike than snakes that did not. In contrast, striking behavior was independent of the occurrence of tail vibrations. Our results suggest that gaping behavior — but not tail-vibrating behavior — may provide an honest signal to would-be predators.
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Dissertations / Theses on the topic "Signal behavior"

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Elmitiny, Noor. "Providing a Better Understanding for the Motorist Behavior Towards Signal Change." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4264.

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This research explores the red light running phenomena and offer a better understanding of the factors associated with it. The red light running is a type of traffic violation that can lead to angle crash and the most common counter measure is installing a red light running cameras. Red light running cameras some time can reduce the rates of red light running but because of the increased worry of the public towards crossing the intersection it can cause an increase in rear end crashes. Also the public opinion of the red light running cameras is that they are a revenue generator for the local counties and not a concern of public safety. Further more, they consider this type of enforcement as violation of privacy. There was two ways to collect the data needed for the research. One way is through a tripod cameras setup temporarily placed at the intersection. This setup can collect individual vehicles caught in the change phase with specific information about their reactions and conditions. This required extensive manual analysis for the recorded videos plus data could not be collected during adverse weather conditions. The second way was using traffic monitoring cameras permanently located at the site to collect red light running information and the simultaneous traffic conditions. This system offered more extensive information since the cameras monitor the traffic 24/7 collecting data directly. On the other hand this system lacked the ability to identify the circumstances associated with individual red light running incidents. The research team finally decided to use the two methods to study the red light running phenomena aiming to combine the benefits of the two systems. During the research the team conducted an experiment to test a red light running countermeasure in the field and evaluate the public reaction and usage of this countermeasure. The marking was previously tested in a driving simulator and proved to be successful in helping the drivers make better stop/go decisions thus reducing red light running rates without increasing the rear-end crashes. The experiment was divided into three phases; before marking installation called "before", after marking installation called "after", and following a media campaign designed to inform the public about the use of the marking the third phase called "after media" The behavior study that aimed at analyzing the motorist reactions toward the signal change interval identified factors which contributed to red light running. There important factors were: distance from the stop bar, speed of traffic, leading or following in the traffic, vehicle type. It was found that a driver is more likely to run red light following another vehicle in the intersection. Also the speeding vehicles can clear the intersection faster thus got less involved in red light running violations. The proposed "Signal Ahead" marking was found to have a very good potential as a red light running counter measure. The red light running rates in the test intersection dropped from 53 RLR/hr/1000veh for the "before" phase, to 24 RLR/hr/1000veh for the "after media" phase. The marking after media analysis period found that the marking can help the driver make stop/go decision as the dilemma zone decreased by 50 ft between the "before" and the "after media" periods. Analysis of the traffic condition associated with the red light running it revealed that relation between the traffic conditions and the red light running is non-linear, with some interactions between factors. The most important factors included in the model were: traffic volume, average speed of traffic, the percentage of green time, the percentage of heavy vehicles, the interaction between traffic volume and percentage of heavy vehicles. The most interesting finding was the interaction between the volume and the percent of heavy vehicles. As the volume increased the effect of the heavy vehicles reversed from reducing the red light running to increasing the red light. This finding may be attributed to the sight blocking that happens when a driver of a passenger car follows a larger heavy vehicle, and can be also explained by the potential frustration experienced by the motorist resulting from driving behind a bigger vehicle.
Ph.D.
Department of Civil and Environmental Engineering
Engineering and Computer Science
Civil Engineering PhD
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Jai, Wun Hoa Arthur. "Underwater acoustic signal behavior prediction in the region of Kauai Island." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/33582.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.
Includes bibliographical references (p. 175-176).
Behavior of underwater sound propagation over long-ranges has been studied for several decades. The purpose of this is to describe sound propagation phenomena in various ocean environments. The key to understanding and visualizing is mathematical modeling. In the ocean acoustics community, four major mathematical techniques have been commonly used to model behavior of acoustic signal in the ocean environment. And they can be categorized into two different fields, range-independent and range-dependent. The accuracy of each method is depends on the environment characteristics. Since the propagating signal can be characterized through the mathematical modeling, it is then possible to use the propagating signal to perform beamforming and determine the characteristic of beam output.
by Wun Hoa Arthur Jai.
S.M.
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Glaser, John Stanley 1964. "Topics in large-signal behavior of power electronic converters and systems." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/282217.

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A variety of topics in large-signal and system-level power electronics are explored. First, the load-sharing problem for converters with parallel- and series-connected outputs is defined and explained. Requirements for load-sharing behavior are illustrated graphically. Many classes of switching converters are capable of load-sharing aside from current-programmed-mode (CPM) converters, including but not limited to discontinuous-mode (DCM) pulse-width-modulated (PWM) converters and resonant converters. The input filter problem is studied for high-power-factor rectifiers (HPFRs) based on the DCM flyback converter. Such HPFRs require an input filter to reduce switching noise conducted to the AC line, but the filter can degrade the power factor and interfere with converter operation. The analysis allows filter design that minimizes and balances these effects. Intuitive and analytical approaches are given and compared. The analytical approach uses phase plane methods usually used for resonant converter analysis. Although the filter design is for a specific converter, the approach is applicable to any HPFR. A single-quadrant negative resistor is synthesized from a DCM flyback converter. This circuit is simple, efficient, and can handle power levels over 100W. A design procedure and small-signal analysis are given. Additionally, a set of large-signal dynamic circuit models are presented for DCM PWM converters. A general impedance synthesizer is developed based on a four-quadrant switching converter. This circuit is used to create the negative resistance pseudoinverter, which puts power onto the AC line for sale to a utility. To develop the pseudoinverter, the concept of load reduction is employed. Potential stability problems are studied and a solution implemented. The synthesis of self-contained reactive components is also studied. Extensive experimental verification substantiates the majority of the concepts in this dissertation. Simulation is also used to support some of the analysis.
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Phillips, Catherine T. Johnston Carol Eileen. "Evolution of signal divergence and behavior in Cyprinella galactura, the whitetail shiner." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Fall/Dissertations/PHILLIPS_CATHERINE_27.pdf.

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Al-Mudhaffar, Azhar. "Impacts of Traffic Signal Control Strategies." Doctoral thesis, Stockholm : Division of transports and logistics, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4268.

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Drake, Daniel F. "Information's role in the estimation of chaotic signals." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/14793.

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McKay, Ailsa J. "Central vasopressin signalling and aggressive behaviour." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/4194.

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Although many signalling molecules appear relevant to the production of complex behaviours, those that are important to the physiological regulation of behaviour, and so those that characterise individual styles of behaviour, are unknown. Vasopressin is the strongest candidate regulator of social behaviour. Experiments were carried out in consideration that vasopressin may directly regulate aggressive behaviour in lactating rats. Patterns of immediate early gene expression during/subsequent to aggressive behaviour suggested specific neural circuits may have significant direct regulatory influence over particular behaviours, and that activation of the V1b vasopressin receptor, in these circuits, may contribute to this putative regulatory signalling. In situ hybridisation studies indicated that patterns of vasopressin release, rather than receptor expression, might be important for any peripartum changes in behaviour driven by vasopressin. Although their relative importance is unknown, central actions of vasopressin may exert a strong regulatory influence over a range of behaviours, across a range of species.
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Saggese, Alessia. "Detecting and indexing moving objects for behavior analysis by video and audio interpretation." Doctoral thesis, Caen, 2014. http://www.theses.fr/2014CAEN2021.

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Dans les dernières décennies, nous avons été témoin d'un besoin grandissant de sécurité dans les espaces publics. La limitation principale induite par les systèmes de vidéo surveillance réside dans la surcharge cognitive des opérateurs humains chargés de la sécurité, ce qui diminue leur capacités à analyser le flux d'information émanant de sources multimédia multiples. Pour ces raisons, nous proposons dans cette thèse un système de surveillance intelligent capable d'associer des images et des vidéos à une interprétation sémantique afin de faire le lien entre des représentations bas niveau, sous forme de pixels, et le haut niveau correspondant à une description en langage naturel qu'un être humain pourrait faire d'une scène. Plus précisément, les travaux proposés débutent par l'analyse des vidéos et par l'extraction des trajectoires des objets présents dans la scène. Une fois extraites, ce grand nombre de trajectoires doit être indexé et stocké afin d'augmenter la performance du système durant la phase de reconnaissance. En outre, l'opérateur humain est informé immédiatement si un comportement anormal est observé. Tandis que l'information extraite des vidéos n'est pas suffisante ou n'est pas suffisamment fiable, le système proposé est enrichi par un module en charge de la reconnaissance des événements sonores tels que des tirs, des cris ou des vitres cassées. Chaque module proposé a été à la fois testé sur des jeux de données standards mais aussi dans un environnement réel ; les résultats obtenus, tout comme l'application des méthodes proposées dans un contexte réel, permettent de confirmer la contribution de nos travaux à l'état de l'art
In the last decades we have assisted to a growing need for security in many public environments. The main limitation of this traditional audio-video surveillance systems lies in the so called psychological overcharge issue of the human operators responsible for security, that causes a decrease in their capabilities to analyse raw data flows from multiple sources of multimedia information. For the above mentioned reasons, in this thesis we propose an intelligent surveillance system able to provide images and video with a semantic interpretation, for trying to bridge the gap between their low-level representation in terms of pixels, and the high-level, natural language description that a human would give about them. In particular, the proposed framework starts by analysing the videos and by extracting the trajectories of the objects populating the scene. Once extracted, this large amount of trajectories needs to be indexed and properly stored in order to improve the overall performance of the system during the retrieving. Furthermore, the human operator is informed as soon as an abnormal behaviour occurs. Whereas the information extracted from the videos are not sufficient or not sufficiently reliable, the proposed system in enriched by a module in charge of recognizing audio events, such as shoots, screams or broken glasses. Each proposed module has been tested both over standard datasets and in real environments; the promising obtained results confirm the advance with respect to the state of the art, as well as the applicability of the proposed method in real scenarios
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Lee, Chungyong. "Noise reduction methods for chaotic signals with application to secure communications." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/14823.

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Larsson, Petter. "Automatic Visual Behavior Analysis." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1980.

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This work explores the possibilities of robust, noise adaptive and automatic segmentation of driver eye movements into comparable quantities as defined in the ISO 15007 and SAE J2396 standards for in-vehicle visual demand measurements. Driver eye movements have many potential applications, from the detection of driver distraction, drowsiness and mental workload, to the optimization of in-vehicle HMIs. This work focuses on SeeingMachines head and eye-tracking system SleepyHead (or FaceLAB), but is applicable to data from other similar eye-tracking systems. A robust and noise adaptive hybrid algorithm, based on two different change detection protocols and facts about eye-physiology, has been developed. The algorithm has been validated against data, video transcribed according to the ISO/SAE standards. This approach was highly successful, revealing correlations in the region of 0.999 between analysis types i.e. video transcription and the analysis developed in this work. Also, a real-time segmentation algorithm, with a unique initialization fefature, has been developed and validated based on the same approach.

This work enables real-time in-vehicle systems, based on driver eye-movements, to be developed and tested in real driving conditions. Furthermore, it has augmented FaceLAB by providing a tool that can easily be used when analysis of eye movements are of interest e.g. HMI and ergonomics studies, analysis of warnings, driver workload estimation etc.

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Books on the topic "Signal behavior"

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Takeda, Kazuya, Hakan Erdogan, John H. L. Hansen, and Huseyin Abut, eds. In-Vehicle Corpus and Signal Processing for Driver Behavior. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-79582-9.

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B, Hoek Jan, and National Institute on Alcohol Abuse and Alcoholism (U.S.), eds. Ethanol and intracellular signaling: From molecules to behavior. Bethesda, MD (6000 Executive Blvd., Bethesda 20892): U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism, 2000.

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R, Buchler J., and Kandrup Henry E, eds. Nonlinear signal and image analysis. New York, N.Y: New York Academy of Sciences, 1997.

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Hoek, Jan B. Ethanol and intracellular signaling: From molecules to behavior. Bethesda, MD (6000 Executive Boulevard, Bethesda, 20892): U.S. Department of Health and Human Services, Public Health Service, National Institute of Health, National Institute on Alcohol Abuse and Alcoholism, 2000.

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1981-, Lin W. Sabrina, and Liu, K. J. Ray, 1961-, eds. Behavior dynamics in media-sharing social networks. Cambridge: Cambridge University Press, 2011.

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Kong, Tse Chi, ed. Reconstruction of chaotic signals with applications to chaos-based communications. [Beijing, China]: Tsinghua University Press, 2008.

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1966-, Gao Jianbo, ed. Multiscale analysis of complex time series: Integration of chaos and random fractal theory, and beyond. Hoboken, NJ: John Wiley & Sons, 2007.

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A, Velastin Sergio, Remagnino Paolo 1963-, and Institution of Electrical Engineers, eds. Intelligent distributed video surveillance systems. London: Institution of Electrical Engineers, 2006.

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International Society for Invertebrate Neurobiology. Symposium. Neurobiology of invertebrates: Signal molecules, networks, behaviour. Budapest: Akadémiai Kiadó, 1993.

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R, Dillon C., ed. Signals and systems: Models and behaviour. Wokingham: Van Nostrand Reinhold, 1986.

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Book chapters on the topic "Signal behavior"

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Getty, Thomas, Alan C. Kamil, and Pamela G. Real. "Signal Detection Theory and Foraging for Cryptic or Mimetic Prey." In Foraging Behavior, 525–48. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1839-2_18.

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Korinšek, Gašper, Tadej Tuma, and Meta Virant-Doberlet. "Automated Vibrational Signal Recognition and Playback." In Biotremology: Studying Vibrational Behavior, 149–73. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22293-2_9.

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Lussu, Vincenzo, Radoslaw Niewiadomski, Gualtiero Volpe, and Antonio Camurri. "Using the Audio Respiration Signal for Multimodal Discrimination of Expressive Movement Qualities." In Human Behavior Understanding, 102–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46843-3_7.

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Palmieri, Igor, Luiz H. A. Monteiro, and Maria D. Miranda. "The Neuronal Signal and Its Models." In Computational Models of Brain and Behavior, 519–30. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119159193.ch38.

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Dunlop, Rebecca, William L. Gannon, Marthe Kiley-Worthington, Peggy S. M. Hill, Andreas Wessel, and Jeanette A. Thomas. "Vibrational and Acoustic Communication in Animals." In Exploring Animal Behavior Through Sound: Volume 1, 389–417. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97540-1_11.

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AbstractAn introduction to acoustic and vibrational communication in animals is presented in this chapter. Starting with the origins of communication and ritualization of vocal and vibrational signals to produce a clear message or broadcast. A summary of communication concepts is presented describing behaviors such as displays. The chapter continues by unraveling some of the complexities of acoustic and vibrational communication such as elephant vibration detection posture and reception of long-range vibrational signal production—or drumming—in Prairie chickens and Kangaroo rats. We discuss the advantages of vibrational and acoustic signal production signals as well as the disadvantages including the influence of environmental factors that may mask or attenuate signals such as wind, water, or structural clutter. Research on the informational content of these signals is progressing. We provide a summary of ground-breaking earlier work, an indication of where we believe the field is now, and a glimpse of where we believe the field could be going in the future. The chapter concludes with a discussion of the characteristics of human language and whether nonhuman animals have such a language with the accompanying mental abilities. It could just be that other animals are most entertained (and threatened!) by our signaling behaviors.
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Sato, K., and K. Touhara*. "Insect Olfaction: Receptors, Signal Transduction, and Behavior." In Results and Problems in Cell Differentiation, 203–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/400_2008_10.

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Oberst, Sebastian, Joseph C. S. Lai, and Theodore A. Evans. "Physical Basis of Vibrational Behaviour: Channel Properties, Noise and Excitation Signal Extraction." In Biotremology: Studying Vibrational Behavior, 53–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22293-2_5.

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Zhang, Xinpeng. "Behavior Steganography in Social Network." In Advances in Intelligent Information Hiding and Multimedia Signal Processing, 21–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50209-0_3.

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Erber, Jochen, and Uwe Homberg. "Neural Signal Processing in the Median Protocerebrum of the Bee." In Neurobiology and Behavior of Honeybees, 253–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71496-2_21.

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Erbe, Christine, Alec Duncan, Lauren Hawkins, John M. Terhune, and Jeanette A. Thomas. "Introduction to Acoustic Terminology and Signal Processing." In Exploring Animal Behavior Through Sound: Volume 1, 111–52. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97540-1_4.

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AbstractThis chapter presents an introduction to acoustics and explains the basic quantities and concepts relevant to terrestrial and aquatic animal bioacoustics. Specific terminology that is introduced includes sound pressure, sound exposure, particle velocity, sound speed, longitudinal and transverse waves, frequency-modulation, amplitude-modulation, decibel, source level, near-field, far-field, frequency weighting, power spectral density, and one-third octave band level, amongst others. The chapter then introduces basic signal sampling and processing concepts such as sampling frequency, Nyquist frequency, aliasing, windowing, and Fourier transform. The chapter concludes with an introductory treatise of sound localization and tracking, including time difference of arrival and beamforming.
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Conference papers on the topic "Signal behavior"

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Bar-Gera, Hillel, Edna Schechtman, Tal Ze'evi, and Oren Musicant. "Yellow Signal Driver Crossing Behavior." In 2015 IEEE 18th International Conference on Intelligent Transportation Systems - (ITSC 2015). IEEE, 2015. http://dx.doi.org/10.1109/itsc.2015.440.

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Fugger, Thomas F., Bryan C. Randles, Jesse L. Wobrock, Anthony C. Stein, and William C. Whiting. "Pedestrian Behavior at Signal-Controlled Crosswalks." In SAE 2001 World Congress. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2001. http://dx.doi.org/10.4271/2001-01-0896.

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Usher, Colin T., Wayne Daley, Bruce Webster, and Casey Ritz. "Signal processing for animal behavior detection." In 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2014. http://dx.doi.org/10.1109/globalsip.2014.7032301.

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Li, Jinchao, Sheng-Yuan Tu, and Ali H. Sayed. "Honeybee swarming behavior using diffusion adaptation." In 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE). IEEE, 2011. http://dx.doi.org/10.1109/dsp-spe.2011.5739220.

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Velarde, Manuel G. "Anharmonicity, neural-like lattices, and fast signal/electric transmission." In COOPERATIVE BEHAVIOR IN NEURAL SYSTEMS: Ninth Granada Lectures. AIP, 2007. http://dx.doi.org/10.1063/1.2709598.

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Mejías, Jorge F., and Joaquín J. Torres. "Signal detection in networks of spiking neurons with dynamical synapses." In COOPERATIVE BEHAVIOR IN NEURAL SYSTEMS: Ninth Granada Lectures. AIP, 2007. http://dx.doi.org/10.1063/1.2709589.

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Nozari, Sheida, Ali Krayani, Lucio Marcenaro, David Martin, and Carlo Regazzoni. "Incremental Learning through Probabilistic Behavior Prediction." In 2022 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022. http://dx.doi.org/10.23919/eusipco55093.2022.9909735.

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Al-Hamadi, Hussam, Amjad Gawanmeh, and Mahmoud Al-Qutayri. "Formalizing electrocardiogram (ECG) signal behavior in event-B." In 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom 2014). IEEE, 2014. http://dx.doi.org/10.1109/healthcom.2014.7001813.

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Wang, Lei, Baoyu Zheng, Jingwu Cui, and Wenjing Yue. "Spectrum sensing using non-asymptotic behavior of eigenvalues." In Signal Processing (WCSP 2011). IEEE, 2011. http://dx.doi.org/10.1109/wcsp.2011.6096917.

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Zhao, Zhe, Fei Gao, Hanyue Li, Yimin Li, and Haikun Luo. "A mixed behavior/structural model for analog LDPC decoders including mismatch effects and dynamic behavior." In 2015 International Conference on Wireless Communications & Signal Processing (WCSP). IEEE, 2015. http://dx.doi.org/10.1109/wcsp.2015.7341182.

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Reports on the topic "Signal behavior"

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Cameron, P., and M. Morvillo. Thermal Behavior of RHIC BPM Cryogenic Signal Cables. Office of Scientific and Technical Information (OSTI), January 1996. http://dx.doi.org/10.2172/1119462.

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Brown Horowitz, Sigal, Eric L. Davis, and Axel Elling. Dissecting interactions between root-knot nematode effectors and lipid signaling involved in plant defense. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598167.bard.

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Root-knot nematodes, Meloidogynespp., are extremely destructive pathogens with a cosmopolitan distribution and a host range that affects most crops. Safety and environmental concerns related to the toxicity of nematicides along with a lack of natural resistance sources threaten most crops in Israel and the U.S. This emphasizes the need to identify genes and signal mechanisms that could provide novel nematode control tactics and resistance breeding targets. The sedentary root-knot nematode (RKN) Meloidogynespp. secrete effectors in a spatial and temporal manner to interfere with and mimic multiple physiological and morphological mechanisms, leading to modifications and reprogramming of the host cells' functions, resulted in construction and maintenance of nematodes' feeding sites. For successful parasitism, many effectors act as immunomodulators, aimed to manipulate and suppress immune defense signaling triggered upon nematode invasion. Plant development and defense rely mainly on hormone regulation. Herein, a metabolomic profiling of oxylipins and hormones composition of tomato roots were performed using LC-MS/MS, indicating a fluctuation in oxylipins profile in a compatible interaction. Moreover, further attention was given to uncover the implication of WRKYs transcription factors in regulating nematode development. In addition, in order to identify genes that might interact with the lipidomic defense pathway induced by oxylipins, a RNAseq was performed by exposing M. javanicasecond-stage juveniles to tomato protoplast, 9-HOT and 13-KOD oxylipins. This transcriptome generated a total of 4682 differentially expressed genes (DEGs). Being interested in effectors, we seek for DEGs carrying a predicted secretion signal peptide. Among the DEGs including signal peptide, several had homology with known effectors in other nematode species, other unknown potentially secreted proteins may have a role as root-knot nematodes' effectors which might interact with lipid signaling. The molecular interaction of LOX proteins with the Cyst nematode effectors illustrate the nematode strategy in manipulating plant lipid signals. The function of several other effectors in manipulating plant defense signals, as well as lipids signals, weakening cell walls, attenuating feeding site function and development are still being studied in depth for several novel effectors. As direct outcome of this project, the accumulating findings will be utilized to improve our understanding of the mechanisms governing critical life-cycle phases of the parasitic M. incognita RKN, thereby facilitating design of effective controls based on perturbation of nematode behavior—without producing harmful side effects. The knowledge from this study will promote genome editing strategies aimed at developing nematode resistance in tomato and other nematode-susceptible crop species in Israel and the United States.
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Abbott, Joshua, H. Allen Klaiber, and V. Kerry Smith. Economic Behavior, Market Signals, and Urban Ecology. Cambridge, MA: National Bureau of Economic Research, February 2015. http://dx.doi.org/10.3386/w20959.

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Wakita, Toshihiro, Koji Ozawa, Chiyomi Miyajima, Kei Igarashi, Katsunobu Ito, Kazuya Takeda, and Fumitada Itakura. Study on Driver Identification Method Using Driving Behavior Signals. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0569.

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Taylor, Oliver-Denzil, Amy Cunningham,, Robert Walker, Mihan McKenna, Kathryn Martin, and Pamela Kinnebrew. The behaviour of near-surface soils through ultrasonic near-surface inundation testing. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41826.

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Seismometers installed within the upper metre of the subsurface can experience significant variability in signal propagation and attenuation properties of observed arrivals due to meteorological events. For example, during rain events, both the time and frequency representations of observed seismic waveforms can be significantly altered, complicating potential automatic signal processing efforts. Historically, a lack of laboratory equipment to explicitly investigate the effects of active inundation on seismic wave properties in the near surface prevented recreation of the observed phenomena in a controlled environment. Presented herein is a new flow chamber designed specifically for near-surface seismic wave/fluid flow interaction phenomenology research, the ultrasonic near-surface inundation testing device and new vp-saturation and vs-saturation relationships due to the effects of matric suction on the soil fabric.
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Aburto, A., D. J. Rountry, and J. L. Danzer. Behavioral Response of Blue Whales to Active Signals. Fort Belvoir, VA: Defense Technical Information Center, June 1997. http://dx.doi.org/10.21236/ada328274.

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Finley, Dorothy L. Tactical Communications Research and Development Requirements from Signal and Behavioral Science Perspectives. Fort Belvoir, VA: Defense Technical Information Center, June 1997. http://dx.doi.org/10.21236/ada337680.

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Houser, Dorian S., James J. Finneran, and Laura Yates. Behavioral Response of Dolphins to Signals Simulating Mid-Frequency Sonar. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada541587.

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Holladay, J. Scott, Jacob LaRiviere, David Novgorodsky, and Michael Price. Asymmetric Effects of Non-Pecuniary Signals on Search and Purchase Behavior for Energy-Efficient Durable Goods. Cambridge, MA: National Bureau of Economic Research, December 2016. http://dx.doi.org/10.3386/w22939.

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Tyack, Peter L. 3S2-Behavioral Response Studies of Cetaceans to Naval Signals in Norwegian Waters. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada541470.

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