Mehnuma Tabassum Omar

• MSc. Eng
• PhD Student at University of Saskatchewan

Multidimensional array is commonly used in data warehouse or in many scientific computation of OLAP for dealing with application dataset. Different models of multidimensional array have been introduced to do this job like Traditional Multidimensional Array, Extendible array, Extended Karnaugh Map Representation etc. But Application that requires op...

Multi-objective designs are genuine models for intricate combinatorial optimization problems. This paper presents a fast elitist non-dominated sorting multi objective genetic algorithm to develop smartly tuned fuzzy logic controllers with a finer trade-off between interpretability and exactitude in linguistic fuzzy modeling problems. The multi-obje...

Traditional computing techniques widely vary over large scale computing. Some techniques are useful for structured data while some other techniques are useful for non-structured data. To store and operation on the structured data, multidimensional array is widely used as basic data structure. But the performance of multidimensional array is very po...

Conventional computing techniques extensively diverge over large scale computing. In order to store and operate structured data, most data scientists suggest higher dimensional arrays, especially in linearization of higher order data. However, with the developing size of datasets, the structures become prone to performance degradation for inability...

Fuzzy system is well known system for its capabilities by solving various kinds of control problems. In this article, we proposed a method for optimizing the fuzzy logic controller through genetic algorithms and neural networks. The optimization method is composed of (1) the neural network with clustering is designed to learn an initial rule base,...

Educational games are a popular means of engaging students in learning activities. However, students in game-based learning environments often engage in powergaming to reap undeserved rewards and spoil the experi-ence of their peers. This may happen when the students pretend to engage in game activities or collude with other students, exploiting th...

Learning is a constructive process that requires dedication and motivation. Learning games can be used to en-gage learners, by providing opportunities to apply knowledge in a safe and fun environment. We created a peer-quizzing game that allows students to quiz each other on the course material and to playfully engage in good study habits. We set o...

Game-based learning tools suffer inherently from some of the issues carried out by video games. One such problem is powergaming, in which players try to maximize their gains by exploiting the game. While not always considered cheating, powergaming for points can ruin the overall experience for serious players. We have observed powergaming behaviour...

Research has shown that learners learn best when they learn actively. In collaborative learning, students take charge of learning and work with others to achieve a common goal. It helps them experience seeking and synthesizing knowledge effectively by forming and planning their research and study strategies to reach their goals. Along with collabor...

Array-based storage system employs a renewed interest in the featured applications for their easy maintenance in the context of large volume data. However, the conventional schemes of array storages suffer from lack of scalability for dynamic data as they need to reallocate the whole array if the size of the array limit overflows. Therefore, the co...

Multidimensional data is available in all respects around us, therefore creating the essentiality of high ranked tensors. We will construct a data structure on primary memory to contain the high order tensors in a shape of two dimensional array. The tensor will be shaped with dynamic dataset i.e. data can be compacted later with a data structure ca...

Big Data involve composite, undefined volume and unspecified rate of datasets [1]. The index array lags behind the conventional approaches to maintain the data velocity by allowing subjective expansion on the boundary of array dimension. The major concern of large volume applications like “Big Data” is to perceive data volume and high velocity for...

In the area of computational intelligence as like Artificial Neural Networks (ANNs) or Fuzzy logic have been used for the construction of an effective and reliable system in order to solve a real world problem where appropriate outcome along with certainty as well as precision are highly required. In this article, we present an integrated approach...

The structure of Multidimensional Array has been practiced in “Big Data” applications tremendously as it stores expediently and retrieves rapidly. However, performance issue of these applications also requires preservation of statistical properties while reducing data size at the same time. The data compression accomplishes this task by wrapping as...