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yonezawa city,yamagata prefecture,,
japan
Es ist derzeit 6:08 PM hier
Beigetreten am Oktober 17, 2016
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Maen A.
@MaenAlaraj
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yonezawa city,yamagata prefecture,,
japan
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Applications Developer (PhD)and Translator
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Portfolio
Portfolio
human identification framework usin Ears
human identification framework usin Ears
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Erfahrung
Postgraduate Software Systems Developing
Apr. 2014 - März 2015 (11 Monate, 1 Tag)
Web-based applications and software developing.
Postgraduate Engineer in Information Systems
Apr. 2015 - Apr. 2014 (11 Monate, 30 Tage)
Giving lectures in image and signal processing to graduate and undergraduate students in English language and assisting students in research-related activities.
Postdoctoral Research Fellow
Sept. 2013 - März 2014 (6 Monate, 1 Tag)
Giving lectures in image and signal processing to graduate and undergraduate students in English language and assisting students in research-related activities.
Ausbildung
Doctor of Engineering
(3 Jahre)
Qualifikationen
Cisco Certified Network Academy (CCNA1)
Cisco Networking Academy
2010
The CCNA certification indicates knowledge of networking for the small office, and the ability to work in small businesses or organizations using networks that have fewer than 100 nodes.
Install and configure Cisco switches and routers in multiprotocol environments using LAN and WAN interfaces. Other skills were learnt:
Networking mathematics, terminology, and models
Testing and cabling LANs and WANs
Ethernet Switching
IP addressing and subnetting
IP, TCP, UDP, and application layer protocols
JLPT- N3
Japan Foundation and Japan Educational Exchanges and Services
2015
The Japanese-Language Proficiency Test (JLPT) has been offered by the Japan Foundation and Japan Educational Exchanges and Services (formerly Association of International Education, Japan) since 1984 as a reliable means of evaluating and certifying the Japanese proficiency of non-native speakers.
IELTS
British Council-JAPAN
2014
This is International English Language Testing Seystems to test the English language professioncy.
Veröffentlichungen
Quantitative comparison between ApEn and spectral measures in evaluating wakefulness state.
International Aizu conference of Biomedical Informatics and Technology (ACBIT)
Wakefulness state estimation prior electroencephalography (EEG) measurements is important for more precise interpretation of those signals. Thus, a new method based on approximate entropy (ApEn) using a new range of ApEn parameter values was used to be compared with different spectral-based measures. the superiority of ApEn was proved by making comparisons where each of which was based on cross validation method.
Quantitative evaluation for the wakefulness state using complexity-based decision threshold value.
International conference of EMBC
Fully awake state of the subjects tends to be an early drowsy state as a result from the prolonged time of electroencephalography (EEG) measurements. Such situations can complicate the interpretation of EEG signals Thus, in this study, a new index for quantitative evaluation of the wakefulness state of subjects using a complexity based decision threshold value was developed. This index was evaluated and showed more superiority than other conventional spectral-based indices
A neural network based human identification framework using ear
International conference of TENCON IEEE
This paper presents a framework that uses ear images for human identification. The framework makes use of Principal Component Analysis (PCA) for ear image feature extraction and Multilayer Feed Forward Neural Network for classification. Framework are proposed to improve recognition accuracy of human identification. The framework was tested on an ear image database to evaluate its reliability and recognition accuracy.
Effects of subject’s wakefulness state and health status on ApEn during eye opening and closure
Journal of Biomedical Science and Engineering
This study tested a novel method designed to provide useful information for medical diagnosis and treatment.
We measured electroencephalography (EEG) during a test of eye opening and closing, a common
test in routine EEG examination. This test is mainly used for measuring the degree of alpha blocking and
sensitivity during eyes opening and closing.
Quantification of subjects’ wakefulness state during routine EEG examination.
International Journal of Innovative Computing, Information and Control
The wakefulness state of healthy subjects tends to be an early drowsy state
because of the prolonged times required for electroencephalography (EEG) measurements.
In such cases, clinicians should consider accurate diagnosis of the wakefulness state of the
subjects in order to interpret EEG signals accurately. The aim of the present study was
to quantitatively evaluate the wakefulness state (early drowsy or fully awake)
using a novel index over the occipital lobe.
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