http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Mihir Narayan Mohanty,Anurag Kumar,Aurobinda Routray,Prithviraj Kabisatpathy 제어·로봇·시스템학회 2010 International Journal of Control, Automation, and Vol.8 No.6
Classification and detection of power signal disturbances are most essential to ensure the good power quality. The power disturbance signals are non-stationary in nature. Non-stationary signal classification is a complex problem and equally a difficult task. In this paper we present a new method for accurate classification of power quality signals using Support Vector Machines (SVM) with Optimized Time-Frequency Kernels by a stochastic genetic algorithm. The Cohen’s class of time-frequency-transformation has been chosen as the Kernel for the SVM. An Evolutionary Algorithm has been used to optimize the parameters of the Kernels. The proposed classification method with optimized parameters is promising for classification of such non-stationary signals. Comparative simulation results demonstrate a significant improvement in the classification accuracy in case of these optimized Kernels. The important contribution of the paper is the optimization of the Kernels for the power system signal classification problem.
Design of Face Recognition based Embedded Home Security System
( Mrutyunjanya Sahani ),( Subhashree Subudhi ),( Mihir Narayan Mohanty ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.4
Home security has become the prime concern for everyone in present scenario. In this work an attempt has been made to develop a home security system which is accessible, affordable and yet effective.The proposed system is based on `Remote Embedded Control System` (RECS) which works both on the web and gsm platform for authentication and monitoring. This system is therefore cost effective as it relies on existing network infrastructure. As PCA is most popular and efficient algorithm for face recognition, it has been usedin this work. Next to it an interface has been developed for communication purpose in the embedded security system through the ZigBee module. Based on this embedded system, automated control of door movement has been implemented through electromagnetic door lock technology. This helps the users to monitor the real-time activities through web services/SMS. The web service consists of either web browser command or e-mail provision. The system establishes the communication between the system and authenticated user. The e-mail received by the system from the authorized person will monitor and control the real-time operation and door lock. The entire control system is reinforced using ARM1176JZF-S microcontroller and tested for actual use in the home environment. The result shows the experimental verification of the proposed system.