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Evaluating Machine Learning-based Fatigue Detection System
Deepak Upreti,V. Thirunavukkarasu,S. Uma Mageswari,Gyanendra Prasad Joshi 한국디지털융합학회 2020 IJICTDC Vol.5 No.1
In this work, we implemented a fatigue detection system using machine learning and evaluated its performance. The proposed system is mainly based on the Viola-Jones face detection algorithm and the convolutional neural network (CNN). Viola-Jones object detection framework is mainly focused on the detection of the face and facial features. CNN is extended to DenseNets and made fully convolution to tackle the problem semantic image segmentation. The main idea behind the DenseNets is to capture the dense blocks that perform iterative concatenation of feature maps. The proposed system is implemented on many different video sequences and observed that its average accuracy is 99.18% and the detection rate is 99.71% out of approximately 100 image frames. The system shows high accuracy in segmentation, low error rate, and quick processing of input data distinguishes from the existing similar systems. Finally, if this system is implemented, it can minimize the number of accidents caused by drivers' fatigue.
R. Sridhar,V. Sachithanandam,T. Mageswaran,R. Purvaja,R. Ramesh,A. Senthil Vel,E. Thirunavukkarasu 한국행정학회 2016 International Review of Public Administration Vol.21 No.3
This article presents a comprehensive analysis of coastal zone management practice through a political, economic, social, technological, legal and environmental (PESTLE) approach and by reviewing relevant literature. Various geo-morphological features and coastal resources of India and major threats on coastal areas were highlighted. The article also highlights the transition of coastal zone management policies of India and their impacts on the coastal areas and ecosystems. Attempting to cite examples for the eff orts taken for environmental protection from historical past to the recent developing era, the article also describes the present framework and addresses the strengths and challenges and concludes with some suggestions for an eff ective coastal zone management in India.
Gopalakrishnan, M.,Sureshkumar, P.,Kanagarajan, V.,Thanusu, J.,Thirunavukkarasu, S. Korean Chemical Society 2007 대한화학회지 Vol.51 No.4
NaHSO4·SiO2를 사용하는 solvent-free 조건하에서 E-geometry를 가진 α,β의 불포화산, α-Cyanoacrylonitriles 와 α-Cyanoacrylates의 효율적인 입체선택적 반응을 수행하였다. Efficient stereoselective synthesis of α,β-Unsaturated acids, α-Cyanoacrylonitriles and α-Cyanoacrylates has been carried out in the presence of NaHSO4·SiO2 under solvent?free conditions with an E-geometry.