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Research in adult multicultural education is sparse. Andragogy (by Knowles) describes the Art and Science of teaching adults. When teaching, educators have to take the adult as an experienced, self-directed and task oriented individual into consideration and be culturally intelligent. In addition, contemporary education in the technology field requires an approach, which is interactive, task oriented...
In this paper, we model the different objects with the help of one of the optimize subdivision algorithm. First, least squares method has been used to fit bivariate cubic polynomial to the (2n+1)2-observations. Then from this polynomial the construction of (2n + 1)2-point approximating subdivision schemes are presented for n ≥ 2. The proposed schemes can be used for the modeling of different objects...
This paper deals with the implementation of data driven techniques, Principal component analysis (PCA) and Fisher Discriminant analysis (FDA), for fault detection and identification in coupled liquid tank system (CLTS). A CLTS is used as a non-linear benchmark in control engineering. PCA transforms the higher dimensional data to a lower dimension, while FDA extracts the discriminant information for...
Dengue fever is measured to be allied with pri and sec dengue infection. This study was conducted to note frequency of primary (pri) and secondary (sec) dengue infection in patients at Karachi. Additionally, these patients were compared in terms of age, gender, serological parameters. The serological analysis was done by the detection of IgM and IgG through ELISA.
The emergence of conventional electrical grid into smart grid has enabled the use of networked controllers for power system control applications. This article discusses the rotor angle stability enhancement of a power system using networked control, where the channel has random delays. An optimal stochastic control is designed to damp the oscillations in power system and compensate the delay effects...
In traditional recommender systems, services/items are recommended to the user based on the initial ratings while the results comes from the predicted rating values are not considered which further refers to top N recommendations. In top N recommendation algorithms, recommendation process is further enhanced by predicting the missing ratings where the basic objective is to find the items that might...
This research paper is concerned with the robust fault detection of swing dynamics model for power distribution network through fault monitoring observers. Classical nine bus system is used as a test system and it is modeled as a descriptor system for which simple algorithmic approach for robust fault detection is applied using full-order generalized observer based on parametric eigenstructure assignment...
A data set is considered imbalanced when its class representation is substantially different. Examples of rare class are infrequent and cost more than common class examples in binary class imbalance data sets. Common learners usually incline toward common class and rare class examples are missed due to class imbalance. Ensemble learning approach combined with data resampling gains popularity to solve...
Dynamic binary translation (DBT) has been used in various applications that range from system-level virtualization to cross-platform application execution. It has also been used in kernel profiling/tracing and security applications. In this paper, we discuss multiple DBT strategies that were implemented during the development of a type-II hypervisor for Cavium Octeon MIPS64 based systems, along with...
Learning with class imbalanced data sets is a challenging undertaking by the common learning algorithms. These algorithms favor majority class due to imbalanced class representation, noise and their inability to expand the boundaries of minority class in concept space. To improve the performance of minority class identification, ensembles combined with data resampling techniques have gained much popularity...
MultiBoost ensemble has been well acknowledged as an effective learning algorithm which able to reduce both bias and variance in error and has high generalization performance. However, to deal with the class imbalanced learning, the Multi- Boost shall be amended. In this paper, a new hybrid machine learning method called Distribution based MultiBoost (DBMB) for class imbalanced problems is proposed,...
Power efficiency delivered from a PV panel individually or as larger system for example a PV Solar Form is very much dependent upon many factors for example irradiance, temperature, shadowing and the health of individual PV panels/cells. The first two factors are typically beyond the control of designer/engineers but certainly if we can determine shading and early diagnoses about the health of a panel/cell...
In this paper, controllability of a sampled-data system under nonuniform sampling is investigated. The problem is motivated with the widespread networked and embedded control systems in which sampling periods may be varying and exact sampling instants are unknown. The continuous-time system is assumed to be controllable and a condition is derived for sampling intervals under which the resulting sampled-data...
In many control systems, such as, networked control systems and embedded control systems, the assumption of uniform sampling is not true in general. Observability is a key property that is to be checked before state estimation. In contrast to uniform sampling case, very little contribution is available in literature about the observability of non-uniformly sampled systems. A scheme for checking the...
Most power electronic equipment these days generate harmonic disturbances, these devices hold nonlinear voltage/current characteristic. The harmonics generated can potentially be harmful to the consumer supply. Typically, filters are integrated at the power source or utility location to filter out the affect of harmonics on the supply. For the detection of these harmonics various techniques are available...
We present a family of (2n−1)-point binary approximating subdivision schemes with free parameters for describing curves. Almost all existing odd-point binary symmetric approximating schemes belong to this family of schemes. Moreover, some of well-known even point approximating schemes are special cases of our scheme. Furthermore, it has been shown that odd-point schemes are better than even-point...
Efficacy of automatic parallelization techniques that rely on source code analysis alone is often limited due to lack of information about runtime characteristics of target applications. In order to exploit runtime application behavior for its parallelization, we need: (1) tools/techniques for dynamic instrumentation and profiling; and (2) a methodology to identify areas of application that are amenable...
In this paper, we consider a linearly constrained quadratic programming (QP) problem arising from cross directional control of large papermaking processes. Different from general-purpose QP solvers, we solve the optimization problem by taking advantage of the problem structure and features, such as positive-definiteness of the Hessian matrix, sparsity of the Hessian and constraint matrices. It is...
We consider the design of a robust ℋ∞ filter for sampled-data systems whose measurements are sampled at uncertain and nonuniform sampling instants. A discrete-time, fixed-structure filter is considered. The resulting error system is time-varying, which makes the filter design difficult. A procedure is presented to design the filter so that the error system remains asymptotically stable for all possible...
Thread level speculation (TLS) is an emerging parallel computing paradigm to enable parallelization with minimal programmer interaction on state-of-the-art multi-core systems. However, when applied indiscriminately, thread squashing and re-execution can incur significant overhead and TLS may result in performance degradation compared to sequential code. A thorough analysis of code for potentially...
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