Relevant bibliographies by topics / Information spectrum

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Information spectrum'

Author: Grafiati
Published: 1 February 2025

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Journal articles on the topic "Information spectrum"

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Vazquez-Vilar, Gonzalo, Roberto Lopez-Valcarce, and Josep Sala. "Multiantenna Spectrum Sensing Exploiting Spectral a priori Information." IEEE Transactions on Wireless Communications 10, no. 12 (December 2011): 4345–55. http://dx.doi.org/10.1109/twc.2011.101211.110665.

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Zhang, Lian Shun, and Ai Juan Shi. "Classification of Biological Spectrum Based on Principal Component Cluster Analysis." Advanced Materials Research 605-607 (December 2012): 2245–48. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2245.

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Spectrums of 17 biological tissue phantoms were measured using the fiber-optic spectrometer. Then, the spectrum was preprocessed by multiplicative scatter correction method to devoice the spectrum. Afterwards the features of the spectrum were extracted via principal component analysis. Ultimately, we applied cluster analysis for the spectral features. The results showed that the accumulated credibility of the first 12 spectral principal components was 99.86% for the spectrum after preprocessing; indicating that this spectrum feature extraction might be done in the case of losing no key information. And the results showed that the 17 biological tissue phantoms can be divided into four main categories according their optical features.
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Shahabinejad, Hadi, Davorin Sudac, Miltiadis Alamaniotis, Karlo Nad, and Jasmina Obhodas. "Precise gamma-ray spectrum stabilization using full spectral information." Radiation Physics and Chemistry 215 (February 2024): 111337. http://dx.doi.org/10.1016/j.radphyschem.2023.111337.

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Lingli, Jiang, Li Shuhui, Li Xuejun, Lei Jiale, and Yang Dalian. "Fault diagnosis of a planetary gearbox based on a local bi-spectrum and a convolutional neural network." Measurement Science and Technology 33, no. 4 (January 21, 2022): 045008. http://dx.doi.org/10.1088/1361-6501/ac471a.

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Abstract The transmission paths of vibration signals in the planetary gearboxes are complex. The signals have the characteristics of strong background noise, instability and non-Gaussian. Bi-spectrums can suppress Gaussian colored noise and are suitable for vibration signal processing of planetary gearboxes. In the traditional fault diagnosis methods based on bi-spectrums, the amplitudes of fault characteristic frequency, or the other further quantitative calculations values, are generally used as the basis of fault diagnosis processes. It has been found that bi-spectrum images can directly characterize the faults of the planetary gearboxes. Convolutional neural networks (CNNs) have been used in mechanical fault diagnoses in recent years. One-dimensional original signals are converted into two-dimensional images as CNN input, which is an effective method for mechanical fault diagnoses. At the present time, there has not been any relevant research conducted using bi-spectral images as CNN input. In this study, a fault diagnosis method based on local bi-spectrum and CNN was proposed. A bi-spectral analysis of the vibration signals of the planetary gearbox was first carried out in order to reveal the fault information while retaining the non-Gaussian information. Then, according to the bi-spectrum symmetry, local images containing the main information were taken as the input of the CNN, which reduced the redundancy of the fault information. Then, in order to improve the diagnostic accuracy of the CNN, the key parameters of CNN architecture were optimized. Finally, a CNN diagnosis model was built to realize the classification diagnoses of different fault positions and different fault degrees of planetary gearboxes. This study’s comparison of the diagnosis results of the full bi-spectrum + CNN, original vibration signal + CNN, local bi-spectrum + (support vector machines), and local bi-spectrum + (stacked auto-encoder) showed that the proposed method in this study had achieved both accuracy and rapidity in the fault diagnoses of planetary gearboxes.
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Mochizuki, Ryo, Tadashi Okubo, and Tetsunori Kobayashi. "Spectrum conversion using prosodic information." Systems and Computers in Japan 38, no. 10 (2007): 12–20. http://dx.doi.org/10.1002/scj.20667.

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Romero, Daniel, and Geert Leus. "Wideband Spectrum Sensing From Compressed Measurements Using Spectral Prior Information." IEEE Transactions on Signal Processing 61, no. 24 (December 2013): 6232–46. http://dx.doi.org/10.1109/tsp.2013.2283473.

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Dong, W. P., and K. J. Stout. "Two-Dimensional Fast Fourier Transform and Power Spectrum for Surface Roughness in three Dimensions." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 209, no. 5 (October 1995): 381–91. http://dx.doi.org/10.1243/pime_proc_1995_209_097_02.

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Two-dimensional power spectrums of engineering surfaces contain plenty of information that is important and valuable for surface characterization. However, the characteristics of the two-dimensional spectrums are largely unknown and the algorithm to implement them is not familiar to many engineers or researchers. This paper describes a detailed procedure to implement the two-dimensional fast Fourier transform and power spectrum for surface roughness in three dimensions. Methods used to extract information from the spectrums are introduced. In order to perform two-dimensional spectral analysis and to have a comprehensive understanding of the characteristics of engineering surfaces, an atlas of the two-dimensional spectrums of representative engineering surfaces are presented. The properties of the spectrums are discussed in conjunction with theoretical analysis and visual characterization of the presented spectrums.
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Li, Jian, Jinming Guo, Mingxing Ma, Yuan Zeng, Chuankun Li, and Jibin Xu. "A Gunshot Recognition Method Based on Multi-Scale Spectrum Shift Module." Electronics 11, no. 23 (November 23, 2022): 3859. http://dx.doi.org/10.3390/electronics11233859.

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In view of the issues such as the larger network model and lower recognition accuracy of the current gunshot recognition networks, a neural network based on a multi-scale spectrum shift module is proposed in this paper to fully mine the relevant information among the gunshot spectrums. This network employs the architecture of a densely connected convolutional network and uses a multi-scale spectrum shift module on the branch to realize the interaction among spectrum information. This spectrum shift replaces the under-sampling operation among the spectrums, realizes the globalized feature extraction of the spectrum, avoids the loss of information during the under-sampling process, and further improves the quality of the spectrum feature map. Experiments were conducted based on the NIJ Grant 2016-DN-BX-0183 gunshot dataset and YouTube dataset on gunshots that have been open to the public, both of whose classification accuracy reached 83.2% and 95.1%, respectively, with the size of the network model being controlled at around 16 MB. The experimental results indicate that, compared with other existing methods for convolutional neural network, the proposed network can mine globalized time-frequency information better and effectively, and has a higher accuracy of gunshot recognition.
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Shinotsuka, Hiroshi, Hideki Yoshikawa, Ryo Murakami, Kazuki Nakamura, Hiromi Tanaka, and Kazuhiro Yoshihara. "Automated information compression of XPS spectrum using information criteria." Journal of Electron Spectroscopy and Related Phenomena 239 (February 2020): 146903. http://dx.doi.org/10.1016/j.elspec.2019.146903.

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Noam, Yair, Amir Leshem, and Hagit Messer. "Competitive Spectrum Management With Incomplete Information." IEEE Transactions on Signal Processing 58, no. 12 (December 2010): 6251–65. http://dx.doi.org/10.1109/tsp.2010.2077286.

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Dissertations / Theses on the topic "Information spectrum"

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Valieva, Inna. "Spectrum Sensing for Dynamic Spectrum Access in Cognitive Radio." Licentiate thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-52881.

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Abstract. The number of mobile devices is constantly growing, and the exclusivestatic spectrum allocation approach is leading to the spectrum scarcity problem whensome of the licensed bands are heavily occupied and others are nearly unused.Spectrum sharing and opportunistic spectrum access allow achieving more efficientspectrum utilization. Radio scene analysis is a first step in the cognitive radiooperation required to employ opportunistic spectrum access scenarios such as thedynamic spectrum access or frequency hopping spread spectrum. The objective of thiswork is to develop and virtual prototype the subset of radio scene analysis algorithmsintended to be used for deployment of opportunistic spectrum access in our targetapplication: a cognitive radio network consisting of multiple software-defined radionodes BitSDR. The proposed radio scene analysis algorithms are devoted to solvingtwo radio scene analysis problems: 1. detection of vacant frequency channels toimplement spectrum sharing scenarios; 2. waveform estimation including modulationtype, symbol rate, and central frequency estimation. From the subset of two radioscene analysis problems two hypotheses are formulated: the first is related to thevacant band identification and the second to waveform estimation. Then sevenresearch questions related to the trade-off between the sensing accuracy and real-time operation requirement for the proposed radio scene analysis algorithms, the nature of the noise, and assumptions used to model the radio scene environment such as the AWGN channel. In the scope of this work, Hypothesis 1, dedicated to vacant frequency band detection, has been proven. Research questions related to the selection of the observation bandwidth, vacant channels detection threshold, and the optimal algorithm have been answered. We have proposed, prototyped, and tested a vacant frequency channels detection algorithm based on wavelet transform performing multichannel detection in the wide band of 56 MHz based on the received signal observed during500 microseconds. Detection accuracy of 91 % has been demonstrated. Detection has been modeled as a binary hypothesis testing problem. Also, energy detection and cyclostationary feature extraction algorithms have been prototyped and tested, however, they have shown lower classification accuracy than wavelets. Answering research question 7 revealed the advantage of using wavelets due to the potential of the results of wavelet transform to be applied for solving the waveform estimation problem including symbol rate and modulation type. Test data samples have been generated during the controlled experiment by the hardware signal generator and received by proprietary hardware based on AD9364 Analog Devices transceiver. To test Hypothesis 2 research questions related to the waveform estimation have been elaborated. We could not fully prove Hypothesis 2 in the scope of this work. The algorithm and features that have been chosen for modulation type classification have not met the required classification accuracy to classify between five studied modulation classes 2FSK, BPSK, QPSK, 8PSK, and 16PSK. To capture more of the fine differences between the received signal modulated into different linear modulations it has been suggested to use the spectral features derived from the time-series signal observed during 500 microseconds or less observation time in the scope of the future work. However, the binary classification between 2FSK and BPSKpresented in Paper 1 could be performed based on instantaneous values and SNRinput: ensemble boosted trees and decision trees have shown an average classification accuracy of 86.3 % and 86.0 % respectively and classification speed of 1200000objects per second, what is faster than required 2000 objects per second.3The prototyping and testing of the proposed algorithm for symbol rate estimation based on deep learning have been performed to answer research question 2. Wavelet transform feature extraction has been proposed to be applied as a preprocessing step for deep learning-based estimation of the symbol rate for 2FSK modulated signals. This algorithm has shown an improvement in the accuracy of the symbol rate estimation in comparison with cyclostationary based detection. The validation accuracy of the symbol rate classification has reached 99.7 %. During testing, the highest average classification accuracy of 100 % has been observed for the signals with SNR levels 25-30 dB, while for signals with SNR 20-25 dB it was 96.3 %.
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Tercero, Vargas Miurel. "Topics in Dynamic Spectrum Access : Market Based Spectrum Sharing and Secondary User Access in Radar Bands." Licentiate thesis, KTH, Kommunikationssystem, CoS, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-33791.

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The steady growth in demand for spectrum has increased research interest in dynamic spectrum access schemes. This thesis studies some challenges in dynamic spectrum access based on two strategies: open sharing and hierarchical access. (1) In the open sharing model, the channels are allocated based on an auction process, taking into account the propagation characteristics of the channels, termed as channel heterogeneity. Two distributed dynamic spectrum access schemes are evaluated, sequential and concurrent. We show that the concurrent accessmechanismperforms better in terms of channel utilization and energy consumption, especially in wireless cellular network with an energy constraint. (2) In the hierarchical model, we assess the opportunities for secondary access in the radar band at 5.6GHz. The primary user is a meteorological radar and WLANs are the secondary users. The secondary users implement an interference protection mechanism to protect the radar, such that the WLAN’s transmission is regulated by an interference threshold. We evaluate the aggregate interference caused to the radar from multiple WLANs transmitting. We derive a mathematicalmodel to approximate the probability distribution function of the aggregate interference at the primary user, considering two cases: when secondary users are homogeneously distributed, and when they are heterogeneously distributed. The heterogeneous distribution of secondary users is modeled using an annulus sector with a higher density, called a hot zone. Finally, we evaluate opportunities for secondary access when WLANs employ an interference protection mechanism that considers the radar’s antenna pattern, such that temporal opportunities for transmission exist. The analytical probability distribution function of the interference is verified showing a good agrement with a Monte Carlo simulation. We show that the aggregate interference is sensitive to the propagation environment, thus in the rural case interference is more severe when compared to the urban case. In the evaluation of the hot zonemodel, we observe that the heterogenous distribution of secondary users has impact on the aggregate interference if the hot zone is near to the radar. The mathematical framework presented in this thesis can easily be adapted to assess interference to other types of primary and secondary users.
QC 20110523
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San, Jose Caceres Antonia. "Information processing, intelligence and social learning in autism spectrum disorder." Thesis, King's College London (University of London), 2012. https://kclpure.kcl.ac.uk/portal/en/theses/information-processing-intelligence-and-social-learning-in-autism-spectrum-disorder(0dfaa229-73b3-4184-b342-c981ded6ad66).html.

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Autism Spectrum Disorder (ASD) is a life-long developmental disorder, which affects communication, social interaction, and flexible behaviour. Kanner’s and Asperger’s original descriptions suggested a hidden intelligence in Autism, reflected in islets of ability. However, for more than three decades it has been documented that ASD has a strong association with Intellectual Disability (ID) and low measured IQ: a high percentage of cases of ASD have intellectual disability, and risk of ASD increases with reduced IQ. The current study aimed to investigate the underlying cognitive potential in ASD, using a simple measure of processing efficiency. The thesis reports studies testing the notion that learning and acquisition of skills is hampered by poor social insight in ASD, which curtails ordinary social learning mechanisms. This general framework further predicts that the basic processing mechanism is not impaired in ASD, and that learning will proceed more efficiently through non-social than through social routes. The Inspection Time (IT) task was used to assess processing efficiency and speed of processing, free of social demands. ITs were predicted to be significantly better than expected from standard IQ in children with ASD and ID, but not in those with ID alone. A novel photograph version of a well-known receptive vocabulary test was developed, predicting that this less socio-communicative version would specifically aid children with ASD, compared to the traditional line drawing format (which may be more determined by the author’s own interpretation and/or drawing ability). Finally, learning in novel social and non-social odd-one-out tasks was tested in children with ID with and without ASD. Learning performance was examined in relation to performance on standard IQ tests, IT, Theory of Mind, and report of everyday life skills and deficits. Results showed that ASD individuals outperformed ID individuals in the IT task despite matched IQ. However, IT did not predict better non-social learning than IQ did. Implications of these results and future directions are further discussed.
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Au, Yeung Sheena. "Eye movements during complex information processing in autism spectrum disorder." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/377982/.

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Kumar, Avinash. "GENERALIZING DIRECT SEQUENCE SPREAD-SPECTRUM WITH MACHINE LEARNING FOR SECRECY." Cleveland State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=csu1600186456691124.

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Jamasebi-Jahromi, Ali. "Code synchronisation in spread spectrum communication systems." Thesis, University of Manchester, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.257305.

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Charbit, Gilles Gerald. "Error protection techniques for frequency-hopping Spread-Spectrum." Thesis, Lancaster University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238955.

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Ravi, K. V. "Sequential detection methods for spread-spectrum code acquisition." Thesis, University of Bath, 1991. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292854.

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Tooze, Alana. "Visual information processing by high functioning individuals with autistic spectrum condition." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/347433/.

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People with Autistic Spectrum Condition (ASC) have sometimes been found to show a local-processing bias on certain visual tasks. This bias has been associated with superior task performance on tasks where it confers an advantage. However, this finding is far from universal; especially when the research participants with ASC have an average to above average level of general intellectual functioning. This thesis comprises a literature review of research examining the processing of visual information by people with ASC, and an empirical paper examining the performance of people with ASC on the Rey-Osterrieth Complex Figure. The literature review considers various models of ASC with the predictions they make for processing of complex visual stimuli. The evidence which supports or refutes these theories is described. Several methodologies have been used to explore visual processing in people with ASC and the information and understanding which each methodology has provided is discussed. Finally, the literature review considers what still remains unknown, and potential directions for future research. The empirical paper is a quantitative study using the Boston Qualitative Scoring System and eye tracking methodology to investigate the potential presence of a local-processing bias, evidenced by increased lower level cognitive processing during completion of the Rey-Osterrieth Complex Figure. A local-processing bias was not found. This study does not support the presence of this bias in high functioning individuals with ASC. The study findings are discussed in relation to the existing literature and the Underconnectivity Hypothesis of ASC.
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Smythe, Colin. "Direct sequence spread spectrum techniques in local area networks." Thesis, Durham University, 1985. http://etheses.dur.ac.uk/6804/.

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This thesis describes the application of a direct sequence spread spectrum modulation scheme to the physical layer of a local area networks subsequently named the SS-LAN. Most present day LANs employ erne form or another of time division multiplexing which performs well in many systems but which is limited by its very nature in real time, time critical and time demanding applications. The use of spread spectrum multiplexing removes these limitations by providing a simultaneous multiple user access capability to the channel which permits each and all nodes to utilise the channel independent of the activity being currently supported by that channel. The theory of spectral spreading is a consequence of the Shannon channel capacity in which the channel capacity may be maintained by the trading of signal to noise ratio for bandwidth. The increased bandwidth provides an increased signal dimensionality which can be utilised in providing noise immunity and/or a simultaneous multiple user environment: the effects of the simultaneous users can be considered as noise from the point of view of any particular constituent signal. The use of code sequences at the physical layer of a LAN permits a wide range of mapping alternatives which can be selected according to the particular application. Each of the mapping techniques possess the general spread spectrum properties but certain properties can be emphasised at the expense of others. The work has Involved the description of the properties of the SS-LAN coupled with the development of the mapping techniques for use In the distribution of the code sequences. This has been followed by an appraisal of a set of code sequences which has resulted in the definition of the ideal code properties and the selection of code families for particular types of applications. The top level design specification for the hardware required in the construction of the SS-LAN has also been presented and this has provided the basis for a simplified and idealised theoretical analysis of the performance parameters of the SS-LAN. A positive set of conclusions for the range of these parameters has been obtained and these have been further analysed by the use of a SS-LAN computer simulation program. This program can simulate any configuration of the SS-LAN and the results it has produced have been compared with those of the analysis and have been found to be in agreement. A tool for the further analysis of complex SS-LAN configurations has therefore been developed and this will form the basis for further work.
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Books on the topic "Information spectrum"

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Han, Te Sun. Information-Spectrum Methods in Information Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-12066-8.

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Sharon, Nancekivell, and Hospital for Sick Children, eds. Autism spectrum disorders: Information for parents. Toronto, Ont: Child Development Centre, the Hospital for Sick Children, 2003.

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1959-, Ashby Helen, McKenna Gordon, Stiff Matthew, and Museum Documentation Association, eds. SPECTRUM knowledge: Standards for cultural information management. Cambridge: MDA, 2001.

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1959-, Ashby Helen, McKenna Gordon, Stiff Matthew, and Museum Documentation Association (Great Britain)., eds. Spectrum knowledge: Standards for cultural information management. Cambridge: MDA, 2001.

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Society, National Autistic, ed. Patients with autistic spectrum disorders: Information for health professionals. London: National Autistic Society, 2006.

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Taylor, Paul G. A beginner's guide to autism spectrum disorders: Essential information for parents and professionals. Philadelphia: Jessica Kingsley Publishers, 2011.

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Könsgen, Andreas. Design and Simulation of Spectrum Management Methods for Wireless Local Area Networks. Wiesbaden: Vieweg+Teubner Verlag / Springer Fachmedien Wiesbaden GmbH, Wiesbaden, 2010.

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Malbin, Diane. Fetal alcohol spectrum disorders: A collection of information for parents and professionals. 2nd ed. Portland, OR: FASCETS Inc., 2006.

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Malbin, Diane. Fetal alcohol spectrum disorders: A collection of information for parents and professionals. 2nd ed. Portland, OR: FASCETS Inc., 2006.

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Malbin, Diane. Fetal alcohol spectrum disorders: A collection of information for parents and professionals. 2nd ed. Portland, OR: FASCETS Inc., 2006.

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Book chapters on the topic "Information spectrum"

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Stonier, Tom. "The Spectrum of Intelligence." In Beyond Information, 19–42. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-1835-0_2.

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Stonier, Tom. "The Spectrum of Intelligence." In Information and Meaning, 51–71. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-4471-0977-8_4.

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Ritvo, Ariella Riva, Fred R. Volkmar, Karen M. Lionello-Denolf, Trina D. Spencer, James Todd, Nurit Yirmiya, Maya Yaari, et al. "Retrieval of Information." In Encyclopedia of Autism Spectrum Disorders, 2576–77. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_252.

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First, Michael B., Elizabeth Spencer, Elizabeth Spencer, Sander Begeer, Brynn Thomas, Danielle Geno Kent, Maria Fusaro, et al. "Information Processing Speed." In Encyclopedia of Autism Spectrum Disorders, 1613. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_346.

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Kuschner, Emily S., and Gregory L. Wallace. "Information Processing Speed." In Encyclopedia of Autism Spectrum Disorders, 2479. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_346.

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Heberle, Amy. "Retrieval of Information." In Encyclopedia of Autism Spectrum Disorders, 3955–56. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_252.

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Grossmann, Siegfried. "The Spectrum of Turbulence." In Time, Quantum and Information, 145–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-10557-3_9.

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Solimini, Domenico. "Electromagnetic Spectrum and Remote Information." In Remote Sensing and Digital Image Processing, 355–400. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25633-7_10.

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Geeraerts, Dirk. "Types of Semantic Information in Dictionaries." In A Spectrum of Lexicography, 11. Amsterdam: John Benjamins Publishing Company, 1987. http://dx.doi.org/10.1075/z.28.02gee.

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Kivanç Mihçak, M., Ramarathnam Venkatesan, and Mustafa Kesal. "Cryptanalysis of Discrete-Sequence Spread Spectrum Watermarks." In Information Hiding, 226–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36415-3_15.

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Conference papers on the topic "Information spectrum"

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Sankar, Hari Prasad, Raghav Subbaraman, Tianyi Hu, and Dinesh Bharadia. "RFSynth: Data generation and testing platform for spectrum information systems." In 2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 473–82. IEEE, 2024. http://dx.doi.org/10.1109/dyspan60163.2024.10632847.

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Romero, Daniel, Roberto Lopez-Valcarce, and Geert Leus. "Compressive wideband spectrum sensing with spectral prior information." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6638505.

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Etezadi, Ehsan, Carlos Natalino, Renzo Diaz, Anders Lindgren, Stefan Melin, Lena Wosinska, Paolo Monti, and Marija Furdek. "Proactive Spectrum Defragmentation Leveraging Spectrum Occupancy State Information." In 2023 23rd International Conference on Transparent Optical Networks (ICTON). IEEE, 2023. http://dx.doi.org/10.1109/icton59386.2023.10207541.

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Bloch, M., and J. N. Laneman. "Information-spectrum methods for information-theoretic security." In 2009 Information Theory and Applications Workshop (ITA). IEEE, 2009. http://dx.doi.org/10.1109/ita.2009.5044918.

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Wellens, Matthias, Alexandre de Baynast, and Petri Mahonen. "Exploiting Historical Spectrum Occupancy Information for Adaptive Spectrum Sensing." In 2008 IEEE Wireless Communications and Networking Conference. IEEE, 2008. http://dx.doi.org/10.1109/wcnc.2008.132.

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Yu, Hui, Lin Gao, Yun Li, Xiaoying Gan, Xinbing Wang, Youyun Xu, Wen Chen, and Athanasios V. Vasilakos. "Information Sharing in Spectrum Auction for Dynamic Spectrum Access." In GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. IEEE, 2009. http://dx.doi.org/10.1109/glocom.2009.5425523.

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Hjelmås, Erik, and Stephen D. Wolthusen. "Full-spectrum information security education." In the 3rd annual conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1231047.1231050.

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Nair, S. S., S. Schellenberg, J. Seitz, and M. Chatterjee. "Hybrid spectrum sharing in dynamic spectrum access networks." In 2013 International Conference on Information Networking (ICOIN). IEEE, 2013. http://dx.doi.org/10.1109/icoin.2013.6496398.

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Lambrakos, Samuel G., Andrew R. Shabaev, Sonjae Wallace, and Lou Massa. "DFT-calculated IR spectra for spectrum-feature extraction." In Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, edited by Lynne L. Grewe, Erik P. Blasch, and Ivan Kadar. SPIE, 2023. http://dx.doi.org/10.1117/12.2659074.

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Kim, Kwang-Yul, Seung-Woo Lee, and Yoan Shin. "Spectral Efficiency Improvement of Chirp Spread Spectrum Systems." In 2019 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2019. http://dx.doi.org/10.1109/ictc46691.2019.8939967.

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Reports on the topic "Information spectrum"

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Yavorsky, Joseph P. Control of the Spectrum via Dominant Spectrum Knowledge Enables Information Superiority. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada364077.

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Pursley, M. B., and H. B. Russell. Side Information in Spread-Spectrum Packet Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, June 1991. http://dx.doi.org/10.21236/ada238215.

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Russell, Harlan B. Use of Side Information in Adaptive Protocols for Spread-Spectrum Packet Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, October 1995. http://dx.doi.org/10.21236/ada303884.

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Adkins, Bonnie N. The Spectrum of Cyber Conflict from Hacking to Information Warfare: What is Law Enforcement's Role? Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada406949.

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Cassimatis, Nicholas L. Harnessing Multiple Representations for Autonomous Full-Spectrum Political, Military, Economic, Social, Information and Infrastructure (PMESII) Reasoning. Fort Belvoir, VA: Defense Technical Information Center, May 2007. http://dx.doi.org/10.21236/ada469995.

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Mazzoni, Silvia, Nicholas Gregor, Linda Al Atik, Yousef Bozorgnia, David Welch, and Gregory Deierlein. Probabilistic Seismic Hazard Analysis and Selecting and Scaling of Ground-Motion Records (PEER-CEA Project). Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/zjdn7385.

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This report is one of a series of reports documenting the methods and findings of a multi-year, multi-disciplinary project coordinated by the Pacific Earthquake Engineering Research Center (PEER) and funded by the California Earthquake Authority (CEA). The overall project is titled “Quantifying the Performance of Retrofit of Cripple Walls and Sill Anchorage in Single-Family Wood-Frame Buildings,” henceforth referred to as the “PEER–CEA Project.” The overall objective of the PEER–CEA Project is to provide scientifically based information (e.g., testing, analysis, and resulting loss models) that measure and assess the effectiveness of seismic retrofit to reduce the risk of damage and associated losses (repair costs) of wood-frame houses with cripple wall and sill anchorage deficiencies as well as retrofitted conditions that address those deficiencies. Tasks that support and inform the loss-modeling effort are: (1) collecting and summarizing existing information and results of previous research on the performance of wood-frame houses; (2) identifying construction features to characterize alternative variants of wood-frame houses; (3) characterizing earthquake hazard and ground motions at representative sites in California; (4) developing cyclic loading protocols and conducting laboratory tests of cripple wall panels, wood-frame wall subassemblies, and sill anchorages to measure and document their response (strength and stiffness) under cyclic loading; and (5) the computer modeling, simulations, and the development of loss models as informed by a workshop with claims adjustors. This report is a product of Working Group 3 (WG3), Task 3.1: Selecting and Scaling Ground-motion records. The objective of Task 3.1 is to provide suites of ground motions to be used by other working groups (WGs), especially Working Group 5: Analytical Modeling (WG5) for Simulation Studies. The ground motions used in the numerical simulations are intended to represent seismic hazard at the building site. The seismic hazard is dependent on the location of the site relative to seismic sources, the characteristics of the seismic sources in the region and the local soil conditions at the site. To achieve a proper representation of hazard across the State of California, ten sites were selected, and a site-specific probabilistic seismic hazard analysis (PSHA) was performed at each of these sites for both a soft soil (Vs30 = 270 m/sec) and a stiff soil (Vs30=760 m/sec). The PSHA used the UCERF3 seismic source model, which represents the latest seismic source model adopted by the USGS [2013] and NGA-West2 ground-motion models. The PSHA was carried out for structural periods ranging from 0.01 to 10 sec. At each site and soil class, the results from the PSHA—hazard curves, hazard deaggregation, and uniform-hazard spectra (UHS)—were extracted for a series of ten return periods, prescribed by WG5 and WG6, ranging from 15.5–2500 years. For each case (site, soil class, and return period), the UHS was used as the target spectrum for selection and modification of a suite of ground motions. Additionally, another set of target spectra based on “Conditional Spectra” (CS), which are more realistic than UHS, was developed [Baker and Lee 2018]. The Conditional Spectra are defined by the median (Conditional Mean Spectrum) and a period-dependent variance. A suite of at least 40 record pairs (horizontal) were selected and modified for each return period and target-spectrum type. Thus, for each ground-motion suite, 40 or more record pairs were selected using the deaggregation of the hazard, resulting in more than 200 record pairs per target-spectrum type at each site. The suites contained more than 40 records in case some were rejected by the modelers due to secondary characteristics; however, none were rejected, and the complete set was used. For the case of UHS as the target spectrum, the selected motions were modified (scaled) such that the average of the median spectrum (RotD50) [Boore 2010] of the ground-motion pairs follow the target spectrum closely within the period range of interest to the analysts. In communications with WG5 researchers, for ground-motion (time histories, or time series) selection and modification, a period range between 0.01–2.0 sec was selected for this specific application for the project. The duration metrics and pulse characteristics of the records were also used in the final selection of ground motions. The damping ratio for the PSHA and ground-motion target spectra was set to 5%, which is standard practice in engineering applications. For the cases where the CS was used as the target spectrum, the ground-motion suites were selected and scaled using a modified version of the conditional spectrum ground-motion selection tool (CS-GMS tool) developed by Baker and Lee [2018]. This tool selects and scales a suite of ground motions to meet both the median and the user-defined variability. This variability is defined by the relationship developed by Baker and Jayaram [2008]. The computation of CS requires a structural period for the conditional model. In collaboration with WG5 researchers, a conditioning period of 0.25 sec was selected as a representative of the fundamental mode of vibration of the buildings of interest in this study. Working Group 5 carried out a sensitivity analysis of using other conditioning periods, and the results and discussion of selection of conditioning period are reported in Section 4 of the WG5 PEER report entitled Technical Background Report for Structural Analysis and Performance Assessment. The WG3.1 report presents a summary of the selected sites, the seismic-source characterization model, and the ground-motion characterization model used in the PSHA, followed by selection and modification of suites of ground motions. The Record Sequence Number (RSN) and the associated scale factors are tabulated in the Appendices of this report, and the actual time-series files can be downloaded from the PEER Ground-motion database Portal (https://ngawest2.berkeley.edu/)(link is external).
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Kucherova, Hanna, Anastasiia Didenko, Olena Kravets, Yuliia Honcharenko, and Aleksandr Uchitel. Scenario forecasting information transparency of subjects' under uncertainty and development of the knowledge economy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4469.

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Topicality of modeling information transparency is determined by the influence it has on the effectiveness of management decisions made by an economic entity in the context of uncertainty and information asymmetry. It has been found that information transparency is a poorly structured category which acts as a qualitative characteristic of information and at certain levels forms an additional spectrum of properties of the information that has been adequately perceived or processed. As a result of structuring knowledge about the factor environment, a fuzzy cognitive model of information transparency was constructed in the form of a weighted digraph. Structural analysis and scenario forecasting of optimal alternatives of the fuzzy cognitive model made it possible to evaluate the classes of factors, identify their limited relations, establish the centrality of the roles of information transparency and information and communication security in the system built and evaluate their importance when modeling the situation self-development. Information visibility, reliability and availability have been found to have the strongest impact on the system. Taking into account different initial weights of the key factors — information transparency and information and communication security — the study substantiates the strategic ways for economic entities to achieve their goals in the context of uncertainty and information asymmetry, which allows us to use this approach as a tool for strategic management in the information environment.
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Gonzalez-Esteban, Cristina. Black Sea Wreck Virtual Reconstruction to Reinvigorate Archaeological Data and Comparative Studies. Honor Frost Foundation, 2023. http://dx.doi.org/10.33583/mags2021.07.

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This short report tests a repeatable methodology for creating detailed virtual reconstructions where the model is a scientific container of the reconstruction information. The project reconstructed a Black Sea shipwreck using a photogrammetry survey and proposed a hypothesis of how it would have looked prior to sinking. To this “shell”, the metadata and paradata were added using BIM: Extended Matrix and Graphic Scale of Evidence. Academically, the “source-based reconstruction” opened a new spectrum of questions related to the ship and its community (chronology, building, propulsion, usage). The models also reported potential as public engagement tools, displaying the scientific background of archaeology.
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Witte, James. PR-015-17608-R01 Assess and Identify Methods to Reduce Ultrasonic Noise Effects on Ultrasonic Meters. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2019. http://dx.doi.org/10.55274/r0011603.

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Ultrasonic noise generated by aerodynamic noise attenuating control valves has been known to have an impact on ultrasonic flow meter performance when the noise characteristic is within the frequency range of the ultrasonic transducers and of great enough amplitude to interfere with ultrasonic signal detection by the flow meter electronics. The intent of this project was to demonstrate the effects of control-valve-generated ultrasonic noise on an ultrasonic flow meter. Flow meter performance characteristics observed when exposed to ultrasonic noise were to be identified, and different methods for potential mitigation of the problem were to be experimentally evaluated. Control valve noise characteristics have been previously evaluated by ultrasonic meter manufacturers and control valve manufacturers. However, the specific ultrasonic frequency spectrum characteristics, which are unique to each control valve noise attenuating trim, are proprietary information held by the manufacturers.
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Roux, Anne, Kyle Chvasta, Kaitlin Koffer Miller, Dylan Cooper, Sha Tao, Eva Assing-Murray, Paul Shattuck, and Lindsay Shea. National Autism Indicators Report: Introduction to Medicaid and Autism. Policy Insight Series. A.J. Drexel Autism Institute, March 2023. http://dx.doi.org/10.17918/nair_medicaid_2023.

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Medicaid is the largest source of public health insurance in the U.S. In 2018, Medicaid provided public health insurance for 97 million low-income citizens in the U.S. including 9 million people with disabilities of all ages. In 2020, nearly one in every five people in the U.S. were ensured by Medicaid. Medicaid is important for autistic people and their family members. Yet, we know that autistic people and their families face difficulties navigating the process to enroll in Medicaid and then accessing the services Medicaid covers. While there are many publications that explain basic facts about Medicaid, and information about Medicaid for autistic individuals, few focus on the how autistic people use this public insurance or on what services Medicaid covers for children, youth, and adults on the autism spectrum. This report explores these topics using data from the Centers for Medicaid and Medicare Services (CMS) from 2008-2016.
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