scholarly journals Testing for Periodicity in Signals: An Application to Detect Partial Upper Airway Obstruction during Sleep

2001 ◽  
Vol 3 (4) ◽  
pp. 231-245 ◽  
Author(s):  
T. Aittokallio ◽  
M. Gyllenberg ◽  
O. Nevalainen ◽  
O. Polo
Keyword(s):  
High Frequency ◽  
Spectral Decomposition ◽  
Harmonic Functions ◽  
Upper Airway ◽  
Automatic Identification ◽  
Simulation Studies ◽  
Simple Method ◽  
Appropriate Behavior ◽  
Partial Upper Airway Obstruction ◽  
Periodic Components

A simple method for detecting periodic components of unknown periodicity in a signal is presented. The method is based on spectral decomposition of signal using orthonormal functions. Traditionally, hypothesis testing together with harmonic functions is used, but we show that the same statistical properties are obtained for other systems of orthonormal functions as well. The appropriate behavior of the method is first demonstrated with simulation studies and then tested to identify visually determined clusters of high-frequency movements, which may repeat in synchrony with respiration during sleep. The good performance in the practical tests suggests that an automatic identification of these clusters could be based on Walsh functions.

Radial generation of n-dimensional poisson processes

1984 ◽  
Vol 21 (03) ◽  
pp. 548-557
Author(s):  
M. P. Quine ◽  
D. F. Watson
Keyword(s):  
Poisson Process ◽  
Poisson Processes ◽  
Three Dimensions ◽  
Simulation Studies ◽  
Simple Method ◽  
Efficient Simulation ◽  
Nearest Neighbours

A simple method is proposed for the generation of successive ‘nearest neighbours' to a given origin in ann-dimensional Poisson process. It is shown that the method provides efficient simulation of random Voronoi polytopes. Results are given of simulation studies in two and three dimensions.

Gender differences in age and BMI distributions in partial upper airway obstruction during sleep

2007 ◽  
Vol 159 (2) ◽  
pp. 219-226 ◽  
Author(s):  
Ulla Anttalainen ◽  
Tarja Saaresranta ◽  
Nea Kalleinen ◽  
Jenni Aittokallio ◽  
Tero Vahlberg ◽  
...  
Keyword(s):  
Gender Differences ◽  
Airway Obstruction ◽  
Upper Airway ◽  
Upper Airway Obstruction ◽  
Partial Upper Airway Obstruction

The automatic identification of lexical variation between language varieties

2010 ◽  
Vol 16 (4) ◽  
pp. 469-491 ◽  
Author(s):  
YVES PEIRSMAN ◽  
DIRK GEERAERTS ◽  
DIRK SPEELMAN
Keyword(s):  
High Frequency ◽  
Automatic Identification ◽  
Distributional Semantics ◽  
Terminology Extraction ◽  
Lexical Variation ◽  
Language Varieties ◽  
Automatic Retrieval ◽  
Research Questions ◽  
Ideal Framework ◽  
The Ideal

AbstractLanguages are not uniform. Speakers of different language varieties use certain words differently – more or less frequently, or with different meanings. We argue that distributional semantics is the ideal framework for the investigation of such lexical variation. We address two research questions and present our analysis of the lexical variation between Belgian Dutch and Netherlandic Dutch. The first question involves a classic application of distributional models: the automatic retrieval of synonyms. We use corpora of two different language varieties to identify the Netherlandic Dutch synonyms for a set of typically Belgian words. Second, we address the problem of automatically identifying words that are typical of a given lect, either because of their high frequency or because of their divergent meaning. Overall, we show that distributional models are able to identify more lectal markers than traditional keyword methods. Distributional models also have a bias towards a different type of variation. In summary, our results demonstrate how distributional semantics can help research in variational linguistics, with possible future applications in lexicography or terminology extraction.

scholarly journals Synaptic Efficacy and the Transmission of Complex Firing Patterns Between Neurons

2000 ◽  
Vol 84 (6) ◽  
pp. 3010-3025 ◽  
Author(s):  
Philippe Faure ◽  
Daniel Kaplan ◽  
Henri Korn
Keyword(s):  
Phase Relationship ◽  
Temporal Organization ◽  
M Cell ◽  
Simple Method ◽  
Central Neurons ◽  
Conventional Analysis ◽  
Synaptic Noise ◽  
Probabilistic Nature ◽  
Periodic Components

In central neurons, the summation of inputs from presynaptic cells combined with the unreliability of synaptic transmission produces incessant variations of the membrane potential termed synaptic noise (SN). These fluctuations, which depend on both the unpredictable timing of afferent activities and quantal variations of postsynaptic potentials, have defied conventional analysis. We show here that, when applied to SN recorded from the Mauthner (M) cell of teleosts, a simple method of nonlinear analysis reveals previously undetected features of this signal including hidden periodic components. The phase relationship between these components is compatible with the notion that the temporal organization of events comprising this noise is deterministic rather than random and that it is generated by presynaptic interneurons behaving as coupled periodic oscillators. Furthermore a model of the presynaptic network shows how SN is shaped both by activities in incoming inputs and by the distribution of their synaptic weights expressed as mean quantal contents of the activated synapses. In confirmation we found experimentally that long-term tetanic potentiation (LTP), which selectively increases some of these synaptic weights, permits oscillating temporal patterns to be transmitted more effectively to the postsynaptic cell. Thus the probabilistic nature of transmitter release, which governs the strength of synapses, may be critical for the transfer of complex timing information within neuronal assemblies.

scholarly journals Molecular generation by Fast Assembly of (Deep)SMILES fragments

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Francois Berenger ◽  
Koji Tsuda
Keyword(s):  
High Frequency ◽  
Molecular Diversity ◽  
Molecular Design ◽  
Peak Performance ◽  
Scoring Functions ◽  
Training Set ◽  
Simple Method ◽  
Distribution Matching ◽  
Property Profile ◽  
Speed Training

Abstract Background In recent years, in silico molecular design is regaining interest. To generate on a computer molecules with optimized properties, scoring functions can be coupled with a molecular generator to design novel molecules with a desired property profile. Results In this article, a simple method is described to generate only valid molecules at high frequency ($$>300,000$$ > 300 , 000 molecule/s using a single CPU core), given a molecular training set. The proposed method generates diverse SMILES (or DeepSMILES) encoded molecules while also showing some propensity at training set distribution matching. When working with DeepSMILES, the method reaches peak performance ($$>340,000$$ > 340 , 000 molecule/s) because it relies almost exclusively on string operations. The “Fast Assembly of SMILES Fragments” software is released as open-source at https://github.com/UnixJunkie/FASMIFRA. Experiments regarding speed, training set distribution matching, molecular diversity and benchmark against several other methods are also shown.

scholarly journals Advancing the Ultra High Frequency RFID in Industrial Applications: A Review

2021 ◽  
Vol 44 (1) ◽  
pp. 40-52
Author(s):  
Tracy Aleong ◽  
Kit Fai Pun
Keyword(s):  
Radio Frequency Identification ◽  
High Frequency ◽  
Measurement Data ◽  
Industrial Applications ◽  
Automatic Identification ◽  
Rfid Technology ◽  
Uhf Rfid ◽  
Privacy And Security ◽  
Ultra High Frequency ◽  
The Past

Radio Frequency Identification (RFID) technology transmits data wirelessly and falls under the broad classification of Automatic Identification and Data Capture (AIDC). The advances in RFID technology continue to be accepted worldwide for various tracking and monitoring type applications. This paper reviews the principle of RFID system operation using an extensive search of relevant articles from technology management and related journals, over the past two decades. It explores 1) the RFID tags operating in the ultra-high frequency (UHF) band, 2) analyses some of the major advancements of this technology in the field of sensor tagging solutions in the past two decades, and 3) discusses industry-based applications utilising UHF RFID sensor tagging solutions for process measurement data acquisition. The main challenges identified are privacy and security concerns on their applications in industry. The paper contributes to amalgamating a list of UHF RFID industry-based applications. It is expected that the findings from this review exercise would shed light on critical areas of the UHF RFID Technology.

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