scholarly journals Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study

2007 ◽  
Vol 12 (6) ◽  
pp. 064009 ◽  
Author(s):  
Quan Zhang ◽  
Emery N. Brown ◽  
Gary E. Strangman
Keyword(s):  
Adaptive Filtering ◽  
Human Subject ◽  
Brain Activity ◽  
Activity Detection

scholarly journals FILTERING TECHNIQUES ON ANALYSIS OF ARCHEOLOGY AREAS USING RADARSAT IMAGES: CASE STUDY OF LEMBAH BUJANG, MALAYSIA

2016 ◽  
Vol III-6 ◽  
pp. 9-14
Author(s):  
M. N. Norzailawati ◽  
R. S. Akma ◽  
A. Alias ◽  
M. A. Zuraini
Keyword(s):  
Mathematical Morphology ◽  
Adaptive Filtering ◽  
Speckle Noise ◽  
Archaeological Sites ◽  
Official Gazette ◽  
Radar Imagery ◽  
Multi Temporal ◽  
Processing Software ◽  
Filtering Techniques

Speckle noise present in radar imagery caused by interaction of out –of-phase waves with a target, the objective of this paper is attempt to test filtering techniques consist of Lee, Frost and Gamma Map to identify a potential shrines area in Lembah Bujang using RADARSAT imageries. The multi-temporal images of RADARSAT for years 2003 and 2014 have been used filtering techniques in identifying potential shrines consist of have been used and tested to selected study areas with using processing software of ENVI 4.8 and ArcGIS 10.2. Based on mathematical morphology, the speckles in these images were reduced, once the reduction is achieved, the enhancement of archaeological sites is accomplished. The finding shows that Local Adaptive Filtering on GAMMA Map filter is the best techniques in identifying potential shrines areas at once as guidance to pursuing an area as official gazette historical site in Malaysia context.

scholarly journals Frog calling activity detection using lightweight CNN with multi-view spectrogram: A case study on Kroombit tinker frog

2021 ◽  
pp. 100202
Author(s):  
Jie Xie ◽  
Mingying Zhu ◽  
Kai Hu ◽  
Jinglan Zhang ◽  
Harry Hines ◽  
...  
Keyword(s):  
Activity Detection ◽  
Calling Activity

scholarly journals Kanta Loha Tablet as a Madhumeha hara drug – A single case study

2021 ◽  
Vol 12 (2) ◽  
pp. 386-390
Author(s):  
Bineesh E P ◽  
Prashant Bedarkar ◽  
Patgiri B J ◽  
Mandip Goyal
Keyword(s):  
Iron Overload ◽  
Iron Content ◽  
Human Subject ◽  
Single Case ◽  
Diabetic Patients ◽  
Single Case Study ◽  
Ancient Time ◽  
Incineration Process

Rasa Shastra which explains a compendium of formulations that act as spectacular remedies for numerous diseases. Metals were used for Deha Vada (for the cure of ailments) and also for Rasayana Karma(Immunity boosting). Loha Bhasma had been using in many formulations from ancient time itself. Kanta Loha, which is superior among Loha can be considered as Magnetite. The Magnetite should contain more than 60% of iron content in it. The incineration process  done according to the reference of classical Rasa Shastra classics. The controversy term “iron overload lead to diabetes” needs to be rechecked by monitoring the results of tests in diabetic patients after medication in the form of Kanta Loha Bhasma. In this article a single case study result showing towards the anti diabetic effect in human subject.

PM10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study

2013 ◽  
pp. 93-100 ◽  
Author(s):  
Simone Scardapane ◽  
Danilo Comminiello ◽  
Michele Scarpiniti ◽  
Raffaele Parisi ◽  
Aurelio Uncini
Keyword(s):  
Adaptive Filtering ◽  
Italian Case

A Variable Mode QR Decomposition Adaptive Filtering Algorithm for Acoustic Echo Cancellation

2014 ◽  
Vol 556-562 ◽  
pp. 3839-3843
Author(s):  
J.B. Li ◽  
C. Lu ◽  
Y. Zhou
Keyword(s):  
Adaptive Filtering ◽  
Input Data ◽  
Qr Decomposition ◽  
Echo Cancellation ◽  
Acoustic Echo Cancellation ◽  
Activity Detection ◽  
Filtering Algorithm ◽  
Acoustic Echo ◽  
Variable Mode ◽  
Voice Activity

This paper studies a new QR decomposition adaptive filtering algorithm for acoustic echo cancellation (AEC). Based on the p-TA-QR-LS algorithm [1] and an efficient voice activity detection technique, the proposed algorithm can distinguish the significant and insignificant input data periods. The resultant variable mode p-TA-QR-LS algorithm can work between two modes (p=1and N) and is thus suitable for AEC application where reusing significant input data can enhance convergence and the computation cost can be saved when the input is relatively weak.

scholarly journals From Child-Robot Interaction to Child-Robot-Therapist Interaction: A Case Study in Autism

2012 ◽  
Vol 9 (2) ◽  
pp. 173-179 ◽  
Author(s):  
I. Giannopulu ◽  
G. Pradel
Keyword(s):  
Social Communication ◽  
Positive Emotion ◽  
Brain Activity ◽  
Multimodal Interaction ◽  
Real Life ◽  
Robot Interaction ◽  
Social And Emotional ◽  
Child Interaction ◽  
Fundamental Part

Troubles in social communication as well as deficits in the cognitive treatment of emotions are supposed to be a fundamental part of autism. We present a case study based on multimodal interaction between a mobile robot and a child with autism in spontaneous, free game play. This case study tells us that the robot mediates the interaction between the autistic child and therapist once the robot-child interaction has been established. In addition, the child uses the robot as a mediator to express positive emotion playing with the therapist. It is thought that the three-pronged interaction i.e., child-robot-therapist could better facilitate the transfer of social and emotional abilities to real life settings. Robot therapy has a high potential to improve the condition of brain activity in autistic children.

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