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Scripts have been used in different disciplines to characterize how individuals conceptualize the conduct of goal-oriented tasks. Cornish introduced this modelling approach to the field of environmental criminology as a more systematic way to identify offenders’ decisions during the commission of crime. Despite the growing number of articles about crime scripts, there is limited information about...
Identifying the appropriate needs for biomedical device design is challenging, especially for less structured environments. The paper proposes an alternate need-finding method based on Cultural Historical Activity Theory and expanded to explicitly examine the role of devices within a socioeconomic system. This is compared to a conventional need-finding technique in a preliminary study with engineering...
Most countries in the world are working hard to make a shift towards the use of renewable energy sources. Renewable energy sources are ideal to narrow the energy gap between demand and availability. Monitoring energy consumption from renewable energy sources will enable effective control of the load. It is important to monitor the energy consumed from the renewable sources in order to balance the...
Massive Open Online Learning (MOOC) is one of the rapidly growing and the most trending online learning platform throughout the world. As reported by Class Central up until December 2015, there are more than a total of 4200 courses, which enrolled more than 35 million students and adopted by more than 500 universities all over the world. Thus, the objective of this study is to identify the students'...
In current brain computer interfacing (BCI) system is used for many applications. This technology also used for capturing brain signals in the form of EEG. This technique have intensive applications in non-invasive technique of signal capturing, Due to its temporal resolution, low set-up cost, easy portability compared to all other techniques. In the EEG technique, as we are dealing with very low...
The purpose of this work is to develop a spectrum monitoring and demodulation system using a software defined radio platform. The system has been developed by using National Instruments USRP RIO software defined radio platform and the National Instruments LabVIEW graphical programming language. The graphical user interface allows monitoring of the spectrum of the signals in the selected frequency...
The overall objective of this paper is to design a module for Electroencephalogram (EEG) amplification for the neonates. EEG refers to the recording of the electrical activity of the brain. EEG can be recorded from the human brain by the placement of the electrodes on the surface of the scalp but the signals produced by the brain are in the order of micro volts. Moreover, noise and artifacts in the...
Jigsaw is a cooperative learning technique that consists in dividing the learning material into partial tasks. Each student in a jigsaw team will have to perform one of these partial tasks, which eventually will end up integrated by all of the team members. This paper presents a replication study with master students about the teaching of object-oriented design using the jigsaw technique. The original...
This paper proposes and presents the structure and the functionality of new Virtual instruments developed for teletraffic system performance evaluation based on LABVIEW platform. The LABVIEW design platform, is widely use today for creation of virtual instruments, ensuring the operation of automated information systems for collecting, analyzing and processing data in real time. The developed new Virtual...
In this paper an eye blink rate tracker is proposed for the persons working with computer for long duration. Now-a-days a common problem of computer users is Dry Eyes. Low blink is the reason behind redness and dryness of the eyes. While working in front of a computer screen, blink rate tends to decrease. This leads to inadequate tear film formation on the eye cornea. Designing an eye blink detection...
Design of a novel block-backstepping based nonlinear stabilizing control law of a pendubot is presented in this paper. It is a 2-DOF underactuated with unactuated shape variable and second order nonholonomic constraint. At the onset of the design, state model of the pendubot has been transformed into the block-strict feedback form. Thereafter, a systematic approach has been utilized to devise a backstepping...
In this paper, ballistic missile tracking on re-entry has been considered. Position, velocity and ballistic coefficient are considered as states of the target. As no prior information about the target shape, mass and area is available, ballistic coefficient of the target has been considered as a state variable. Different type of nonlinear filters such as ensemble Kalman filter (EnKF), unscented Kalman...
A large number of vehicle accidents and its associated human fatalities occur throughout the world due to drowsiness or health-related issues of the driver. Such mis-happenings can be reduced by integrating a driver-health monitor into the automotive. Different techniques such as camera-based image processing, photoplethysmograph, electroencephalograph, etc. have been employed to develop driver-state...
This paper aims to show better performance of Fractional Order Integral State Feedback (FOISF) controller over Integral State Feedback (ISF) controller with experimental validation in level control of a two tank (non interactive) system. A nonlinear as well as a linear model of the system is obtained using physical laws and experimental open loop response. Considering the linear model an ISF controller...
The demand response is a program that changes the electricity use by end-use customers in response to some sort of incentive or price signal. Demand Response programs (DRPs) are highly sought-after and promoted almost in every country. Although the ways, scope and scale of implementation DR program are different in different countries. DR helps regulator to bring the grid to more secured condition...
This paper presents the application of l-1 Regularized Least Square (H RLS)to Sparse identification of linear systems. The l-1 norm is the closest possible convex function to the function 1-0 norm and provides a convex optimization problem provided cost function without l-1 norm is convex. The sparse parameters of Output-Error (OE) model, which gives non-convex cost function, are estimated by combining...
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