Relevant bibliographies by topics / Short-time features

Contents

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

Academic literature on the topic 'Short-time features'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Short-time features"

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Martinez-Heath, M. R., and A. G. Deacon. "Engineering Risk Assessment in Manufacturing Products with Short Time-to-Market Windows." Journal of Engineering for Industry 117, no. 1 (February 1, 1995): 49–54. http://dx.doi.org/10.1115/1.2803277.

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This paper establishes the concept of manufacturing risk assessment based on design features. It also presents a methodology for assessing risks associated with producing feature-rich products with short time-to-market windows. Product design features are classified as inherent and value-added. Inherent features are functionalities of a product that provide a core benefit to the user. Without inherent features, a product cannot exist in the marketplace. Value-added design features augment the customer-perceived value of a product. A product with value-added features provides the manufacturer with a competitive and lucrative edge in the market place. To quantify risks associated with making a product, manufacturing is divided into three subprocesses: reliability, inherent feature augmentation, and value-added tolerance capabilities. Reliability estimates the availability to manufacture the selected product consistently; feature augmentation quantifies risks associated with incorporating inherent design features; and value-added tolerance capabilities measures the consistency in manufacturing value-added design. An example of a leading-edge technology product with a short life cycle is provided. Because of a short time-to-market window coupled with constraints in environmental variables, the bootstrap method is used to estimate key statistical parameters. Once manufacturing risks have been identified and evaluated, the next logical step for future work will be to couple these estimates with uncertainties involved in financing and marketing the product in question.
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Behzad, M., A. R. Bastami, and D. Mba. "Rolling bearing fault detection by short-time statistical features." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 226, no. 3 (October 19, 2011): 229–37. http://dx.doi.org/10.1177/0954408911422635.

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Akulenko, L. D., Yu G. Markov, V. V. Perepelkin, and L. V. Rykhlova. "Short-time-scale features of the Earth’s polar motion." Astronomy Reports 53, no. 11 (November 2009): 1070–77. http://dx.doi.org/10.1134/s1063772909110122.

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Heinen, Marco, Peter Holmqvist, Adolfo J. Banchio, and Gerhard Nägele. "Short-time diffusion of charge-stabilized colloidal particles: generic features." Journal of Applied Crystallography 43, no. 5 (August 19, 2010): 970–80. http://dx.doi.org/10.1107/s002188981002724x.

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Analytical theory and Stokesian dynamics simulations are used in conjunction with dynamic light scattering to investigate the role of hydrodynamic interactions in short-time diffusion in suspensions of charge-stabilized colloidal particles. The particles are modeled as solvent-impermeable charged spheres, repelling each otherviaa screened Coulomb potential. Numerical results for self-diffusion and sedimentation coefficients, as well as hydrodynamic and short-time diffusion functions, are compared with experimental data for a wide range of volume fractions. The theoretical predictions for the generic behavior of short-time properties obtained from this model are shown to be in full accord with experimental data. In addition, the effects of microion kinetics, nonzero particle porosity and residual attractive forces on the form of the hydrodynamic function are estimated. This serves to rule out possible causes for the strikingly small hydrodynamic function values determined in certain synchrotron radiation experiments.
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Riest, Jonas, and Gerhard Nägele. "Short-time dynamics in dispersions with competing short-range attraction and long-range repulsion." Soft Matter 11, no. 48 (2015): 9273–80. http://dx.doi.org/10.1039/c5sm02099a.

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Sundararajan, Narasimman, A. Ebrahimi, and Nannappa Vasudha. "Two Dimensional Short Time Hartley Transforms." Sultan Qaboos University Journal for Science [SQUJS] 21, no. 1 (November 1, 2016): 41. http://dx.doi.org/10.24200/squjs.vol21iss1pp41-47.

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The Hartley transform, as in the case of the Fourier transform, is not suitably applicable to non-stationary representations of signals whose statistical properties change as a function of time. Hence, different versions of 2-D short time Hartley transforms (STHT) are given in comparison with the short time Fourier transform (STFT). Although the two different versions of STHT defined here with their inverses are equally applicable, one of them is mathematically incorrect/incompatible due to the incorrect definition of the 2-D Hartley transform in literature. These definitions of STHTs can easily be extended to multi-dimensions. Computations of the STFT and the two versions of STHTs are illustrated based on 32 channels (traces) of synthetic seismic data consisting of 256 samples in each trace. Salient features of STHTs are incorporated.
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Ramalingam, A., and S. Krishnan. "Gaussian Mixture Modeling of Short-Time Fourier Transform Features for Audio Fingerprinting." IEEE Transactions on Information Forensics and Security 1, no. 4 (December 2006): 457–63. http://dx.doi.org/10.1109/tifs.2006.885036.

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Rusnak, Yu. "SEMANTIC AND STRUCTURAL FEATURES OF TIME ADVERBS IN OLGA KOBYLYANSKA’S SHORT PROSE." International Humanitarian University Herald. Philology 2, no. 46 (2020): 104–7. http://dx.doi.org/10.32841/2409-1154.2020.46-2.25.

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Sun, Dechao, Jiali Wu, Hong Huang, Renfang Wang, Feng Liang, and Hong Xinhua. "Prediction of Short-Time Rainfall Based on Deep Learning." Mathematical Problems in Engineering 2021 (March 30, 2021): 1–8. http://dx.doi.org/10.1155/2021/6664413.

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Short-time heavy rainfall is a kind of sudden strong and heavy precipitation weather, which seriously threatens people’s life and property safety. Accurate precipitation nowcasting is of great significance for the government to make disaster prevention and mitigation decisions in time. In order to make high-resolution forecasts of regional rainfall, this paper proposes a convolutional 3D GRU (Conv3D-GRU) model to predict the future rainfall intensity over a relatively short period of time from the machine learning perspective. Firstly, the spatial features of radar echo maps with different heights are extracted by 3D convolution, and then, the radar echo maps on time series are coded and decoded by using GRU. Finally, the trained model is used to predict the radar echo maps in the next 1-2 hours. The experimental results show that the algorithm can effectively extract the temporal and spatial features of radar echo maps, reduce the error between the predicted value and the real value of rainfall, and improve the accuracy of short-term rainfall prediction.
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Qiao, Mu, and Zixuan Cheng. "A Novel Long- and Short-Term Memory Network with Time Series Data Analysis Capabilities." Mathematical Problems in Engineering 2020 (October 13, 2020): 1–9. http://dx.doi.org/10.1155/2020/8885625.

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Time series data are an extremely important type of data in the real world. Time series data gradually accumulate over time. Due to the dynamic growth in time series data, they tend to have higher dimensions and large data scales. When performing cluster analysis on this type of data, there are shortcomings in using traditional feature extraction methods for processing. To improve the clustering performance on time series data, this study uses a recurrent neural network (RNN) to train the input data. First, an RNN called the long short-term memory (LSTM) network is used to extract the features of time series data. Second, pooling technology is used to reduce the dimensionality of the output features in the last layer of the LSTM network. Due to the long time series, the hidden layer in the LSTM network cannot remember the information at all times. As a result, it is difficult to obtain a compressed representation of the global information in the last layer. Therefore, it is necessary to combine the information from the previous hidden unit to supplement all of the data. By stacking all the hidden unit information and performing a pooling operation, a dimensionality reduction effect of the hidden unit information is achieved. In this way, the memory loss caused by an excessively long sequence is compensated. Finally, considering that many time series data are unbalanced data, the unbalanced K-means (UK-means) algorithm is used to cluster the features after dimensionality reduction. The experiments were conducted on multiple publicly available time series datasets. The experimental results show that LSTM-based feature extraction combined with the dimensionality reduction processing of the pooling technology and cluster processing for imbalanced data used in this study has a good effect on the processing of time series data.
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Dissertations / Theses on the topic "Short-time features"

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Mubarak, Omer Mohsin Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Speech and music discrimination using short-time features." Awarded by:University of New South Wales. Electrical Engineering & Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/31954.

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This thesis addresses the problem of classifying an audio stream as either speech or music, an issue which is beginning to receive increasing attention due to its wide range of applications. Various techniques have been presented in last decade to discriminate between speech and music. However, their accuracy is still not sufficient since music can refer to a very broad class of signals due to the large number of musical instruments found in audio data. Performance can also be further compromised in noisy conditions, which are unavoidable in some practical situations. This thesis presents an analysis of feature extraction techniques and classifiers currently being used, followed by the proposal and evaluation of new features for improved classification. These include two novel cepstral features, delta cepstral energy and power spectrum deviation, along with amplitude and frequency modulation features. The modified group delay feature, initially proposed for speech recognition, is also investigated for speech and music discrimination. Experiments were performed using different sets of features, compared among themselves and with conventional MFCCs using error rate criteria and Detection Error Trade-off curves. It is shown that the proposed cepstral and modulation features result in an increase in the accuracy of the conventional MFCC based system. However, the modified group delay feature which has been shown to improve accuracy for speech classification problems, does not contribute much to the problem of speech and music discrimination. Among the ones presented here the optimum feature configuration, both modulation features with MFCC, resulted in overall error rate of 6.57% as compared to 7.43% for MFCC alone.
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Díaz, González Fernando. "Federated Learning for Time Series Forecasting Using LSTM Networks: Exploiting Similarities Through Clustering." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254665.

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Federated learning poses a statistical challenge when training on highly heterogeneous sequence data. For example, time-series telecom data collected over long intervals regularly shows mixed fluctuations and patterns. These distinct distributions are an inconvenience when a node not only plans to contribute to the creation of the global model but also plans to apply it on its local dataset. In this scenario, adopting a one-fits-all approach might be inadequate, even when using state-of-the-art machine learning techniques for time series forecasting, such as Long Short-Term Memory (LSTM) networks, which have proven to be able to capture many idiosyncrasies and generalise to new patterns. In this work, we show that by clustering the clients using these patterns and selectively aggregating their updates in different global models can improve local performance with minimal overhead, as we demonstrate through experiments using realworld time series datasets and a basic LSTM model.
Federated Learning utgör en statistisk utmaning vid träning med starkt heterogen sekvensdata. Till exempel så uppvisar tidsseriedata inom telekomdomänen blandade variationer och mönster över längre tidsintervall. Dessa distinkta fördelningar utgör en utmaning när en nod inte bara ska bidra till skapandet av en global modell utan även ämnar applicera denna modell på sin lokala datamängd. Att i detta scenario införa en global modell som ska passa alla kan visa sig vara otillräckligt, även om vi använder oss av de mest framgångsrika modellerna inom maskininlärning för tidsserieprognoser, Long Short-Term Memory (LSTM) nätverk, vilka visat sig kunna fånga komplexa mönster och generalisera väl till nya mönster. I detta arbete visar vi att genom att klustra klienterna med hjälp av dessa mönster och selektivt aggregera deras uppdateringar i olika globala modeller kan vi uppnå förbättringar av den lokal prestandan med minimala kostnader, vilket vi demonstrerar genom experiment med riktigt tidsseriedata och en grundläggande LSTM-modell.
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Dai, Shin-Hao, and 戴欣浩. "Feature Selection and Feature Extraction for Emotion Recognition Based on Multiple Short-Time Physiological Signals." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/78424722899130791289.

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碩士
國立中正大學
電機工程研究所
103
In this paper, we proposed an emotion recognition system based on three short-time physiological signals. Electrocardiogram (ECG), Photoplethysmorgraphy (PPG) and Skin Impedance (SI) were used to recognize five kinds of negative emotions, including neutral (non-stimulated state), sad, stress, anger and disgust. In our study, we aimed to develop a user-independent system. This emotion recognition system was composed of data acquisition (physiological signals), feature calculation, normalization, feature selection or feature extraction, and classification. First, in the data acquisition part, 50 subjects were recruited to participate in this study, including 22 males and 28 females. By employing visual and audio stimulation, the subject emotions were induced and the signals were recorded. Second, in the feature calculation part, we calculated 7 types ECG features from wave-form and HRV sequence, 10 types PPG features from wave-form and HRV sequence and 3 types SI features from wave-form and SCR sequence. Totally, 140 features were calculated. Third, we normalized our feature set to the same level. Fourth, in the feature selection part, we performed Genetic Algorithm (GA) to select the most effective feature set to enhance accuracy. On the other hand, the feature extraction part, we compared the performance of the Principal Component Analysis (PCA), Independent Component Analysis (ICA), Linear Discriminant Analysis (LDA) and 3 modified LDA (OLDA, SLDA and RLDA) methods in reducing the feature dimensions by mapping the original data to the better subspace. Finally, we used SVM to classify emotions. And we performed leave-one-out scheme for cross validation. According to the result, the accuracy were 70.4% when using GA feature selector, 67.6% when using OLDA feature extractor, 95.2% when using OLDA feature extractor in combination with the GA feature selector.
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Books on the topic "Short-time features"

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Allen, Robert C. The Industrial Revolution: A Very Short Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/actrade/9780198706786.001.0001.

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The Industrial Revolution was a pivotal point in British history that occurred between the mid-18th and mid-19th centuries, and led to far reaching transformations of society. The Industrial Revolution: A Very Short Introduction analyses the key features of the Industrial Revolution in Britain, and the spread of industrialization to other countries. It considers the factors that combined to enable industrialization at this time, including Britain’s position as a global commercial empire, and discusses the changes in technology and business organization, and their impact on different social classes and groups. It looks at how the changes were reflected in evolving government policies, and what contribution these made to the economic transformation.
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Charon, Rita. A Framework for Teaching Close Reading. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199360192.003.0009.

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This chapter describes one framework for teaching close reading to groups of learners. It proposes that learners focus on one narrative feature at a time—for example, time, space, voice, and metaphor—over the course of a seminar. For each feature, students read and discuss seminal conceptual writings to situate them in the classical and contemporary critical discourse. The chapter provides capsule summaries of these four narrative features that guide students in their own close reading of texts. The discussion of temporality, for example, includes theological, philosophical, scientific, and literary/narratological writings and the close reading of literary, visual arts, and musical texts that display temporal complexity. In the chapter are described particular teaching sessions in a variety of settings where learners read and respond in writing to short texts that highlight a particular narrative feature. The teaching texts and those written by students are reproduced in the chapter.
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Stokes, Lisa Odham. Food for Thought: Cannibalism in The Untold Story and Dumplings. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474424592.003.0011.

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Food features prominently in Hong Kong cinema, from the infamous “Eat my rice” scene in Woo’s heroic bloodshed A Better Tomorrow 2 to the special recipes of dueling restaurants in the Hui Brothers’ comedy Chicken and Duck Talk. While in many action movies, dramas and comedies, food brings people together, in Hong Kong horror films, food carries more ominous overtones. Cannibalism serves as the main course in Herman Yau’s Untold Story (aka Human Pork Buns) and Fruit Chan’s Dumplings (the former drawn from a real case and the latter a short and feature). Both explore the political and social underpinnings of their time. Untold Story (1993) is an excellent example of crisis cinema- in your face, low budget, high anxiety over the return of Hong Kong to China. Dumplings (2004) reflects the post-postmodern fascination with a youth culture, at any costs. Both films mark class distinctions and reflect the cultural importance of food in Chinese society as well as provide comment on their times.
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Stone, Derrick. Walks, Tracks and Trails of Victoria. CSIRO Publishing, 2009. http://dx.doi.org/10.1071/9780643097919.

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For the first time in a single volume, this book brings together more than 150 of the best walks, tracks or trails in Victoria, which can be walked, cycled or driven by the moderately fit individual. They are located in national and state parks, state forests, conservation reserves, historic parks and local government and public easements. Other routes follow state highways, old railways and gold routes, or pass bushranger haunts and back roads linking towns, historical and geological or geographical features. Most of the routes chosen do not require specialist navigation or bushcraft skills, and vary from a short 45 minutes on a boardwalk to four-day long-distance walking and camping. Walks, Tracks and Trails of Victoria covers the best the state has to offer, from deserts to coastal and mountain environments. It highlights the features of each location and encourages you to enjoy the experience at an informed level. Easy-to-interpret maps are included to help you navigate, and the book’s size makes it convenient to bring with you on your adventures.
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Rokison, Abigail. Shakespeare’s Dramatic Verse Line. Edited by Jonathan Post. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199607747.013.0024.

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Using examples from Shakespeare’s early, middle, and late plays and from his Tragedies, Comedies, and Histories, this chapter charts developments and explores patterns in Shakespeare’s dramatic verse line across the genres and time span of his writing career. It examines incidences of end-stopping and enjambment, mid-line breaks, shared, short, and long verse lines, considering the ways in which these relate to the subject matter of scenes and may function as a means of reflecting a character’s emotional or mental state. The chapter draws on evidence from Renaissance prosodic accounts, printed texts, theatrical papers, and evidence relating to early modern theatre practice and considers the ways in which the features of the dramatic line are interpreted by modern theatre practitioners.
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Sullivan, Sean G. Impulse Control Disorders in Medical Settings. Edited by Jon E. Grant and Marc N. Potenza. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195389715.013.0123.

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Impulse control disorders (ICDs) and conditions with impulse control features provide a challenge in terms of identification, treatment, and follow-up when mental health specialists are in short supply. Medical settings, in particular the largest, primary health care, provide an opportunity to address many impulse-affected conditions currently poorly assessed and treated in health care settings. Barriers to intervention for ICDs in primary health care are time constraints; understanding of the etiology, symptoms, and appropriate interventions; the health and social costs; and prioritizing of training in and treatment of conditions perceived as more serious or appropriate to a primary health care service. These barriers may possibly be overcome in primary care settings, and in this chapter, a model to address problem gambling is described.
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Meyer, Michel. The role of pathos: from argumentative responses to feeling and emotions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199691821.003.0010.

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Chapter 10 is devoted to the role of emotions or pathos. Pathos was the term ordinarily used to denote the notion of audience. For the first time since Aristotle, emotions receive a full role in a treatise on rhetoric. The responses of the audience are modulated by its emotions. What is their nature and how precisely do they operate? The areas of political and legal rhetoric are examined here in the light of an original view of the theory of distance: values at greater distance become passions at short distance, and this is one of the features which demarcates politics from law. Law and politics are not merely argumentative, nor are they entirely emotional. The norms they codify are often implicit in their shaping of our mutual expectations and behavior in the social world.
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Money, Jeannette. Comparative Immigration Policy. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190846626.013.380.

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The research on comparative immigration policy is relatively recent, with the earliest dealing with significant immigrant inflows into Western Europe after World War II. Because of the difficulties in finding empirically grounded measures of immigration policy, the literature has grown primarily by adding to the theoretical literature. In terms of the immigration control literature, nativism (anti-immigrant preferences) has been complemented by approaches that include attention to the economic consequences of immigration, focus on how societal preferences are channeled, and focus on state national interest and state security. In terms of the immigrant integration literature, there has been a tendency to classify the immigrant reception environment of states according to historical nation building features of the state and to types of “immigration regimes.” More recently, in recognition of the static nature of these models of policy making, scholars have disaggregated integration policy into its component parts and incorporated aspects of politics that change over time. The research arena is, in short, theoretically rich, though both dimensions of research on immigration policy suffer from two flaws. The first is the inability to compare effectively policies across countries. The second is the research focus on Western Europe and advanced industrial countries, to the neglect of the remaining countries in the world.
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Thatamanil, John J. Circling the Elephant. Fordham University Press, 2020. http://dx.doi.org/10.5422/fordham/9780823288526.001.0001.

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Christian theologians have, for some decades, affirmed that they have no monopoly on encounter with God or ultimate reality; other religions also have access to religious truth and transformation. If so, the time has come for Christians not just to learn about but also from their religious neighbors. Circling the Elephant affirms that the best way to move toward the mystery of divinity is to move toward the mystery of the neighbor. In this book, Thatamanil employs the ancient Indian allegory of the elephant and blindfolded men to argue for the integration of three, often-separated theological projects: theologies of religious diversity, comparative theology, and constructive theology. Circling the Elephant also offers an analysis of why we have fallen short in the past. Interreligious learning has been obstructed by problematic ideas about “religion” and “religions.” Thatamanil also notes troubling resonances between reified notions of “religion” and “race.” He contests these notions and offers a new theory of the religious that makes interreligious learning both possible and desirable. Christians have much to learn from their religious neighbors, even about such central features of Christian theology as Christ and Trinity. This book proposes a new theology of religious diversity, one that opens the door to true interreligious learning.
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Ortiz, Julian Arias, Raphaël Favory, and Jean-Louis Vincent. Infection, sepsis, and multiorgan dysfunction syndrome. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0072.

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Sepsis is the main cause of multiple organ failure and remains a concern because of the associated high morbidity and mortality. In recent years, important advances have been made in the understanding of the pathophysiology of sepsis. Sepsis and septic shock are the end result of complex interactions between infecting organisms and various elements of the host response. A key feature of the common sequence of organ failure is dysfunction of the cardiovascular system, including microcirculatory elements. Outcome improvement in sepsis is based on recognizing the process early and instituting effective therapies. The time window for intervention is relatively short, and treatment must promptly control the source of infection, restore haemodynamic homoeostasis, and support failing organ systems.
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Book chapters on the topic "Short-time features"

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Gómez, P., J. M. Ferrández, V. Rodellar, L. M. Mazaira, and C. Muñoz. "Modeling Short-Time Parsing of Speech Features in Neocortical Structures." In Trends in Applied Intelligent Systems, 159–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13033-5_17.

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Herff, Christian, and Dean J. Krusienski. "Extracting Features from Time Series." In Fundamentals of Clinical Data Science, 85–100. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99713-1_7.

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AbstractClinical data is often collected and processed as time series: a sequence of data indexed by successive time points. Such time series can be from sources that are sampled over short time intervals to represent continuous biophysical wave-(one word waveforms) forms such as the voltage measurements representing the electrocardiogram, to measurements that are sampled daily, weekly, yearly, etc. such as patient weight, blood triglyceride levels, etc. When analyzing clinical data or designing biomedical systems for measurements, interventions, or diagnostic aids, it is important to represent the information contained within such time series in a more compact or meaningful form (e.g., noise filtering), amenable to interpretation by a human or computer. This process is known as feature extraction. This chapter will discuss some fundamental techniques for extracting features from time series representing general forms of clinical data.
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Gómez, V., A. Álvarez, P. Herrera, G. Castellanos, and A. Orozco. "Short Time EEG Connectivity Features to Support Interpretability of MI Discrimination." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 699–706. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13469-3_81.

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Smith, Leslie S. "Extracting Features from the Short-term Time Structure of Cochlear Filtered Sound." In 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997, 113–25. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1546-5_10.

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Velasquez-Martinez, F., A. M. Alvarez-Meza, and G. Castellanos-Dominguez. "Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities." In Artificial Computation in Biology and Medicine, 439–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18914-7_46.

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Morales, Juddy Y., Juan D. Castillo, Brayan M. León, Roberto Ferro Escobar, and Andrés E. Gaona. "Audio Scene Classification Based on Convolutional Neural Networks: An Evaluation of Multiple Features and Topologies in Short Time Segments." In Lecture Notes in Electrical Engineering, 414–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53021-1_42.

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Wernhard, Christoph, and Wolfgang Bibel. "Learning from Łukasiewicz and Meredith: Investigations into Proof Structures." In Automated Deduction – CADE 28, 58–75. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79876-5_4.

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AbstractThe material presented in this paper contributes to establishing a basis deemed essential for substantial progress in Automated Deduction. It identifies and studies global features in selected problems and their proofs which offer the potential of guiding proof search in a more direct way. The studied problems are of the wide-spread form of “axiom(s) and rule(s) imply goal(s)”. The features include the well-known concept of lemmas. For their elaboration both human and automated proofs of selected theorems are taken into a close comparative consideration. The study at the same time accounts for a coherent and comprehensive formal reconstruction of historical work by Łukasiewicz, Meredith and others. First experiments resulting from the study indicate novel ways of lemma generation to supplement automated first-order provers of various families, strengthening in particular their ability to find short proofs.
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Cerone, Antonio, and Graham Pluck. "A Formal Model for Emulating the Generation of Human Knowledge in Semantic Memory." In From Data to Models and Back, 104–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70650-0_7.

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AbstractThe transfer of information processed by human beings from their short-term memory (STM) to their semantic memory creates two kinds of knowledge: a semantic network of associations and a structured set of rules to govern human deliberate behaviour under explicit attention. This paper focuses on the memory processes that create the first of these two kinds of knowledge. Human memory storage and processing are modeled using the Real-time Maude rewrite language. Maude’s capability of specifying complex data structures as many sorted algebras and the time features of Real-Time Maude are exploited for (1) providing a means for formalising alternative memory models, (2) modelling in silico experiments to compare and validate such models. We aim at using our model for the comparison of alternative cognitive hypothesis and theories and the analysis of interactive systems.
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Zhan, Peng, Yupeng Hu, Wei Luo, Yang Xu, Qi Zhang, and Xueqing Li. "Feature-based Online Segmentation Algorithm for Streaming Time Series (Short Paper)." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 477–87. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12981-1_33.

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Nakanishi, Tomoko M. "Real-Time Water Movement in a Plant." In Novel Plant Imaging and Analysis, 39–72. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4992-6_2.

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AbstractThe next approach to research on water was to measure the small amount of water actually moving within a plant. The best method is to utilize radioisotope (RI)-labeled water and measure the radiation from outside of the plant. However, it is rather difficult to label water, since there are only limited kinds of RI for tracing water.When utilizing 18F to trace water movement, another fundamental question to consider was the features that characterize drought-tolerant and drought-sensitive plants. It is natural to suppose that drought-tolerant plants have strong water absorption; therefore, by analyzing the water absorption mechanism of tolerant plants and by introducing this function to sensitive plants, it might be possible to make the sensitive plants more tolerant.However, when water uptake was studied in naturally developed drought-tolerant and drought-sensitive cowpea, selected from 2000 cowpea plants grown in the field of Africa, the result was unexpected. Under normal conditions, the amount of water absorbed by the drought-tolerant strain was much lower than that absorbed by the sensitive strain, as if showing the low capability of water absorption. When a drought condition was introduced, the tolerant strain began to absorb much more water than usual, whereas the sensitive strain could not absorb as much water as before. This result provided us with an important lesson. Analyzing the mechanism of drought tolerance only by comparing the water absorption of tolerant and sensitive plants might not readily reveal the reason for drought tolerance. The features of the naturally produced plants showed us different mechanisms that might not match our expectations developed in the laboratory.Next, we performed water measurements using 15O-labeled water, which has an extremely short half-life of 2 minutes. Here, we found another astonishing result, which was “water circulation” in the plant internode. A tremendous amount of water was always leaking from xylem cells, which had been regarded as a mere pipe to transfer water from the root to the aboveground parts. In another subsequent study, it was shown that the water flowing out from the xylem was pushing out the water already present in the stem and then returning to the xylem again to move upward. The water velocity in the internode was kept constant, and through simulation, it took less than 20 minutes to exchange the water already present in the stem with newly absorbed water.
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Conference papers on the topic "Short-time features"

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Sepulveda-Cano, L. M., A. M. Alvarez-Meza, and G. Castellanos-Dominguez. "Training using short-time features for OSA discrimination." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6345858.

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Syamanthika, Puppala, Tekkali Yogitha, Manche Kuruba Sai Hitha, Tiramareddy Manasa Swetha, S. S. Poorna, and K. Anuraj. "Digit Identification from Speech using Short-Time Domain Features." In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2020. http://dx.doi.org/10.1109/icirca48905.2020.9182788.

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Tsiakoulis, Pirros, Alexandros Potamianos, and Dimitrios Dimitriadis. "Short-time instantaneous frequency and bandwidth features for speech recognition." In Understanding (ASRU). IEEE, 2009. http://dx.doi.org/10.1109/asru.2009.5373305.

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Kim, Bobae, Beomhee Jang, Donggeon Lee, and Sungbin Im. "CNN-based UAV Detection with Short Time Fourier Transformed Acoustic Features." In 2020 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2020. http://dx.doi.org/10.1109/iceic49074.2020.9051099.

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Huang, Huan, Natalie Baddour, and Ming Liang. "Short-Time Kurtogram for Bearing Fault Feature Extraction Under Time-Varying Speed Conditions." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85165.

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The kurtogram is a spectral analysis tool used to detect non-stationarities in a signal. It can be effectively used to determine the optimal filter for bearing fault feature extraction from a blurred vibration signal, since the transients of the bearing fault-induced signal can be regarded as non-stationary. However, the effectiveness of the kurtogram is diminished when the signal is collected from a bearing operating under time-varying speed conditions. There is a need to improve the performance of the kurtogram under time-varying speed conditions. In this paper, a short-time kurtogram method is proposed for bearing fault feature extraction under time-varying speed conditions. The performance of the short-time kurtogram is examined with experimental data. The results demonstrate that the short-time kurtogram can effectively be used to extract bearing fault features under time-varying speed conditions.
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Rizzi, A., M. Buccino, M. Panella, and A. Uncini. "Optimal Short-Time Features for Music/Speech Classification of Compressed Audio Data." In 2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06). IEEE, 2006. http://dx.doi.org/10.1109/cimca.2006.160.

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Kai, Ding, Zhang Shigong, Zhang Kesheng, and Lei Zhen. "Short-time and Spectrum Features of Noises Made by Vehicles for Recognition." In 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE). IEEE, 2020. http://dx.doi.org/10.1109/auteee50969.2020.9315641.

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Mohdiwale, Samrudhi, Tirath Prasad Sahu, Naresh Kumar Nagwani, Rahul Kumar Chaurasia, and Shrish Verma. "Abnormal activity detection in forest reserve using cumulative short time fourier transform features." In 2017 International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2017. http://dx.doi.org/10.1109/iss1.2017.8389259.

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Pinzon, Jaime D., and D. Graciela Colome. "Data Analytics of PMU Measurement Features for Real-time Short-term Voltage Stability Prediction." In 2019 FISE-IEEE/CIGRE Conference - Living the energy Transition (FISE/CIGRE). IEEE, 2019. http://dx.doi.org/10.1109/fisecigre48012.2019.8985004.

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Nuhoglu, Mustafa Atahan. "Classification of radar signal features in electronic warfare with convolutional long-short time memory." In 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018. http://dx.doi.org/10.1109/siu.2018.8404452.

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Reports on the topic "Short-time features"

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Berkowitz, Jacob, Nathan Beane, Kevin Philley, Nia Hurst, and Jacob Jung. An assessment of long-term, multipurpose ecosystem functions and engineering benefits derived from historical dredged sediment beneficial use projects. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41382.

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The beneficial use of dredged materials improves environmental outcomes while maximizing navigation benefits and minimizing costs, in accordance with the principles of the Engineering With Nature® (EWN) initiative. Yet, few studies document the long-term benefits of innovative dredged material management strategies or conduct comprehensive life-cycle analysis because of a combination of (1) short monitoring time frames and (2) the paucity of constructed projects that have reached ecological maturity. In response, we conducted an ecological functional and engineering benefit assessment of six historic (>40 years old) dredged material–supported habitat improvement projects where initial postconstruction beneficial use monitoring data was available. Conditions at natural reference locations were also documented to facilitate a comparison between natural and engineered landscape features. Results indicate the projects examined provide valuable habitat for a variety of species in addition to yielding a number of engineering (for example, shoreline protection) and other (for example, carbon storage) benefits. Our findings also suggest establishment of ecological success criteria should not overemphasize replicating reference conditions but remain focused on achieving specific ecological functions (that is, habitat and biogeochemical cycling) and engineering benefits (that is, storm surge reduction, navigation channel maintenance) achievable through project design and operational management.
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Downes, Jane, ed. Chalcolithic and Bronze Age Scotland: ScARF Panel Report. Society for Antiquaries of Scotland, September 2012. http://dx.doi.org/10.9750/scarf.09.2012.184.

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The main recommendations of the panel report can be summarised under five key headings:  Building the Scottish Bronze Age: Narratives should be developed to account for the regional and chronological trends and diversity within Scotland at this time. A chronology Bronze Age Scotland: ScARF Panel Report iv based upon Scottish as well as external evidence, combining absolute dating (and the statistical modelling thereof) with re-examined typologies based on a variety of sources – material cultural, funerary, settlement, and environmental evidence – is required to construct a robust and up to date framework for advancing research.  Bronze Age people: How society was structured and demographic questions need to be imaginatively addressed including the degree of mobility (both short and long-distance communication), hierarchy, and the nature of the ‘family’ and the ‘individual’. A range of data and methodologies need to be employed in answering these questions, including harnessing experimental archaeology systematically to inform archaeologists of the practicalities of daily life, work and craft practices.  Environmental evidence and climate impact: The opportunity to study the effects of climatic and environmental change on past society is an important feature of this period, as both palaeoenvironmental and archaeological data can be of suitable chronological and spatial resolution to be compared. Palaeoenvironmental work should be more effectively integrated within Bronze Age research, and inter-disciplinary approaches promoted at all stages of research and project design. This should be a two-way process, with environmental science contributing to interpretation of prehistoric societies, and in turn, the value of archaeological data to broader palaeoenvironmental debates emphasised. Through effective collaboration questions such as the nature of settlement and land-use and how people coped with environmental and climate change can be addressed.  Artefacts in Context: The Scottish Chalcolithic and Bronze Age provide good evidence for resource exploitation and the use, manufacture and development of technology, with particularly rich evidence for manufacture. Research into these topics requires the application of innovative approaches in combination. This could include biographical approaches to artefacts or places, ethnographic perspectives, and scientific analysis of artefact composition. In order to achieve this there is a need for data collation, robust and sustainable databases and a review of the categories of data.  Wider Worlds: Research into the Scottish Bronze Age has a considerable amount to offer other European pasts, with a rich archaeological data set that includes intact settlement deposits, burials and metalwork of every stage of development that has been the subject of a long history of study. Research should operate over different scales of analysis, tracing connections and developments from the local and regional, to the international context. In this way, Scottish Bronze Age studies can contribute to broader questions relating both to the Bronze Age and to human society in general.
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