scholarly journals Electroencephalographic study of real-time arithmetic task recognition in learning disabilities children

2018 ◽  
Vol 10 (1) ◽  
pp. 43-46
Author(s):  
Phakkharawat Sittiprapaporn ◽  
Shao-Chin Chang
Keyword(s):  
Learning Disabilities ◽  
Real Time ◽  
Mental Arithmetic ◽  
Brain Activity ◽  
Recognition Task ◽  
Modern Society ◽  
Arithmetic Task ◽  
The Real ◽  
Cognitive Components ◽  
And Performance

Background: Mathematics form is universally understood in modern society. It is natural to ask whether there is neurophysiological evidence for putative cognitive components of the task and the practice in mental arithmetic will lead to a detectable transition in primary locus of brain activity. Aims and Objectives: The purpose of this study was to determine the effect of real-time arithmetic recognition task for cognitive performance and electroencephalographic activities. Materials and Methods: While practicing the real-time arithmetic recognition task named SpeedMath developed by NeuroSky, Inc., electroencephalographic activities were also recorded by using the commercial lightweight electroencephalographic device, Mindwave Mobile, NeuroSky, Inc. Eight participants included learning disabilities children participating in this study. All participants were instructed and trained to practice the simple the arithmetic recognition task which included arithmetic and mathematic skills. Results: The results showed that both alpha and beta frequency bands were increased with statistically significant at the 0.05 level. Conclusions: The real-time arithmetic recognition task might improve the real-time arithmetic recognition task and performance. Asian Journal of Medical Sciences Vol.10(1) 2019 43-46

A Survey of Real-Time Industrial Wireless LAN Research

2015 ◽  
Vol 738-739 ◽  
pp. 1105-1110 ◽  
Author(s):  
Yuan Qing Qin ◽  
Ying Jie Cheng ◽  
Chun Jie Zhou
Keyword(s):  
Real Time ◽  
Future Development ◽  
Wireless Lan ◽  
State Of The Art ◽  
The State ◽  
Local Networks ◽  
The Real ◽  
Time Requirements ◽  
And Performance ◽  
Fundamental Mechanism

This paper mainly surveys the state-of-the-art on real-time communicaton in industrial wireless local networks(WLANs), and also identifys the suitable approaches to deal with the real-time requirements in future. Firstly, this paper summarizes the features of industrial WLANs and the challenges it encounters. Then according to the real-time problems of industrial WLAN, the fundamental mechanism of each recent representative resolution is analyzed in detail. Meanwhile, the characteristics and performance of these resolutions are adequately compared. Finally, this paper concludes the current of the research and discusses the future development of industrial WLANs.

scholarly journals The Influence of Brain Activity on the Interactive Process through Biofeedback Mechanisms in Virtual Reality Environments

2021 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Rita Costa ◽  
Paulo Gomes ◽  
António Correia ◽  
António Marques ◽  
Javier Pereira
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Brain Activity ◽  
Interactive Process ◽  
The Real ◽  
Biological Signals

This work focuses on the development of a software link interface tool between the Looxid Link Device coupled to the HTC Vive Pro VR HeadSets and the Unity platform, to generate real-time interactivity in virtual reality applications. The software incorporates a dynamic and parameterizable algorithm to be used as a core-engine in the real-time Biofeedback process, recognizing the values of the biological signals registered in each of the EEG channels of the Looxid Link device. The values of EEG frequencies detected in real time can be used to generate elements of interactivity, with different frequencies and intensities.

scholarly journals DEVELOPMENT OF THE REAL-TIME PCR METHODOLOGY FOR TESTING MYCOTOXIGENIC MICROORGANISMS IN GRAPE MARC

2021 ◽  
Vol 28 (3) ◽  
pp. 187-194
Author(s):  
Rodica Sturza ◽  
◽  
Valentin Mitin ◽  
Irina Mitina ◽  
Dan Zgardan ◽  
...  
Keyword(s):  
Real Time ◽  
Ochratoxin A ◽  
Real Time Pcr ◽  
Modern Society ◽  
Fungal Species ◽  
Peptide Sequence ◽  
Wine Production ◽  
The Real ◽  
Grape Marc ◽  
Industrial Waste Management

Agro-industrial waste management is an important problem of modern society as agriculture and food industry are important sources of waste. Wine production generates a considerable amount of winemaking waste (grape marc). Grape marc can be a source of natural dyes, antioxidants and could have various applications, if it is confirmed that it does not contain technogenic contaminants or unwanted microorganisms, for example, producers of mycotoxins. The paper developed the Real -Time Polymerase Chain Reaction (Real-Time PCR) methodology for testing the presence of potentially mycotoxogenic fungal species capable of producing ochratoxin A (OTA), which could be applied before grape marc processing. Based on the non-ribosomal peptide sequence of OTA, involved in ochratoxin biosynthesis, the primers have been developed for the detection of microorganisms potentially capable of producing ochratoxin A.

scholarly journals Optimization of an Intelligent Music-Playing System Based on Network Communication

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Liaoyan Zhang
Keyword(s):  
Real Time ◽  
Recommendation System ◽  
Topic Model ◽  
User Interaction ◽  
Interaction Data ◽  
Music Recommendation ◽  
System Testing ◽  
The Real ◽  
Wide Range ◽  
And Performance

Streaming media server is the core system of audio and video application in the Internet; it has a wide range of applications in music recommendation. As song libraries and users of music websites and APPs continue to increase, user interaction data are generated at an increasingly fast rate, making the shortcomings of the original offline recommendation system and the advantages of the real-time streaming recommendation system more and more obvious. This paper describes in detail the working methods and contents of each stage of the real-time streaming music recommendation system, including requirement analysis, overall design, implementation of each module of the system, and system testing and analysis, from a practical scenario. Moreover, this paper analyzes the current research status and deficiencies in the field of music recommendation by analyzing the user interaction data of real music websites. From the actual requirements of the system, the functional and performance goals of the system are proposed to address these deficiencies, and then the functional structure, general architecture, and database model of the system are designed, and how to interact with the server side and the client side is investigated. For the implementation of data collection and statistics module, this paper adopts Flume and Kafka to collect user behavior data and uses Spark Streaming and Redis to count music popularity trends and support efficient query. The recommendation engine module in this paper is designed and optimized using Spark to implement incremental matrix decomposition on data streams, online collaborative topic model, and improved item-based collaborative filtering algorithm. In the system testing section, the functionality and performance of the system are tested, and the recommendation engine is tested with real datasets to show the discovered music themes and analyze the test results in detail.

scholarly journals The Design and Performance of the Real-Time Software Architecture for the ITER Radial Neutron Camera

2019 ◽  
Vol 66 (7) ◽  
pp. 1310-1317 ◽  
Author(s):  
N. Cruz ◽  
B. Santos ◽  
A. Fernandes ◽  
P. F. Carvalho ◽  
J. Sousa ◽  
...  
Keyword(s):  
Software Architecture ◽  
Real Time ◽  
The Real ◽  
And Performance

scholarly journals The impact of mental fatigue on brain activity: A comparative study between resting state and task state using EEG

2019 ◽  
Author(s):  
Gang Li ◽  
Youdong Luo ◽  
Weidong Jiao ◽  
Yonghua Jiang ◽  
Zhao Gao ◽  
...  
Keyword(s):  
Resting State ◽  
Mental Arithmetic ◽  
Brain Activity ◽  
Mental Fatigue ◽  
Relative Power ◽  
Arithmetic Task ◽  
Eeg Data ◽  
Mental Arithmetic Task ◽  
The Brain ◽  
And Task

Abstract Background: Mental fatigue is usually caused by long-term cognitive activities, mainly manifested as drowsiness, difficulty in concentrating, decreased alertness, disordered thinking, slow reaction, lethargy, reduced work efficiency, error-prone and so on. Mental fatigue has become a widespread sub-health condition, and has a serious impact on the cognitive function of the brain. However, seldom researches explore the differences of mental fatigue on electrophysiological activity between resting state and task state. In the present study, 20 healthy male individuals were recruited to do a consecutive mental arithmetic task to induce mental fatigue, and scalp electroencephalogram (EEG) data were collected before and after the task. The power and relative power of five EEG rhythms both in resting state and task state were analyzed statistically. Results: The results of brain topographies and statistical analysis indicated that mental arithmetic task can successfully induce mental fatigue in the enrolled subjects. The relative power index was more sensitive than the power index in response to mental fatigue, and the relative power for assessing mental fatigue was better in resting state than in task state. Furthermore, we found that it is of great physiological significance to divide alpha frequency band into alpha1 band and alpha2 band in fatigue related studies, and at the same time improve the statistical differences of sub-bands. Conclusions: Our current results suggested that the brain activity in mental fatigue state has great differences between resting state and task state, and it is imperative to select the appropriate state in EEG data acquisition and divide alpha band into alpha1 and alpha2 bands in mental fatigue related researches.

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