The main advantage of a Brain Computer Interfaced (BCI) systems is that it enables direct communication between brain and computer. This study proposes an Electroencephalogram (EEG) based BCI system ...for smart environment control. Features from EEG data, ISRUC-Sleep was extracted. Extracted features from data were used for training a classifier for classification of the cognitive stage of the person (Alert, Relaxed and Sleep). The weighted k nearest neighbor (Wk-NN) algorithm based classi fier was designed on MATLAB. And the environment was controlled based on the cognitive state of the person. The accuracy achieved for classification of the cognitive state was 92.5%. At last a prototype smart environment control was practiced.
Large number of health organizations have started making use of cloud assisted technologies to collect, share and process medical records. Wireless Body Area Sensor Network (BASN) is employed to ...record information such as blood pressure, heart rate, etc from the patient's body. The collected data is stored on the cloud such that it could be shared among different users for providing better services. However, there are many security challenges in using cloud backed large scale commercial e-health applications. The basic challenge is to maintain confidentiality of data while it is transmitted over the communication channel, or stored and searched by cloud provider. Further, unauthenticated or malicious sensor could upload the fake patient reports to the cloud. These problems are amplified due to resource constrained devices like sensor nodes of BASN as resource exhaustive security operations are not affordable by them. Moreover, a malicious cloud could also violate the privacy of a user by tracking its cloud usage pattern. In this paper, we propose a lightweight and secure searching scheme over encrypted data for e-Health environment. We make use of hybrid encryption scheme including symmetric encryption and optimized identity-based encryption (IBE) scheme to ensure data confidentiality over communication channel and for enhancing cloud privacy. Further, due to its lightweight nature, it is affordable for constrained sensors with minimal computation and storage resources. Implementation results confirm the lightweight nature of our proposed scheme.
Comparative analysis of controllers designed for a MIMO system Verma, Preeti; Juneja, Pradeep Kumar; Saini, Parvesh ...
2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT),
2017-July
Conference Proceeding
In present paper, a MIMO model of paper machine has been taken for the analysis and the different controller designing methods are applied to the model of paper machine, which is multivariable, ...interactive, delayed and complex process. For interaction and stability analysis, RGA and Niederlinski index is used respectively. The decoupling system is designed for MIMO model for avoiding unwanted interaction and obtained the two SISO model after that there are different methods are used for PID controller designing after that comparative analysis has been done between these controllers, time response characteristics for the best control.
Several industrial chemical processes are found tobe FOPDT (first order plus dead time). The presence of deadtime makes the transfer function to be irrational and makesthe simulation and controller ...design very complex. In thepresent work an FOPDT model of the pH neutralizationprocess which is found in sugar mills is considered as a subjectof study and analysis. Having obtained its Padéapproximation, its order has been reduced using Square RootBalance Truncation Method and then for this reduced ordermodel, Ziegler-Nichols(ZN), Internal model control (IMC)and optimized IMC using Genetic Algorithm(GA-IMC)based controllers are designed and their performance is compared.
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