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This work presented two prediction models for the estimation of student's performance in final examination. The work made use of the popular dataset provided by the University of Minho in Portugal, which relate to the performance in math subject and it consists of 395 data samples. Forecasting the performance of students can be useful in taking early precautions, instant actions, or selecting a student...
In this paper, we formed prediction intervals using historical similarities, found through the direct correlation. At first, a string of 5 to 20 recent samples is correlated with a long training string of samples. Then, the highest normalized correlation values and corresponding indexes are picked. After that, the amplitudes of the matched samples are adjusted by multiplying the value with the amplitude...
Research in time series (TS) knowledge discovery in general, and in similarity search in particular has been very active in recent years, due to the number of application domains that are progressively requiring to work with large amounts of high dimensional TS data. Unfortunately, for many practical applications, the high dimensionality in such frameworks makes it difficult to uncover important patterns...
Traumatic brain injury (TBI) and its complications, including intracranial hypertension, are one of the leading causes of mortality. Many proposed algorithms have attempted to overcome the invasiveness of intracranial pressure monitoring with limited clinical applications. In medical practices, changes of intracranial hypertension are perceived manually, by clinical experts, via surgical placement...
In this paper, a novel algorithm is developed for the design of minimum-phase FIR filters with sparse impulse responses. Traditional minimum-phase FIR filter design approaches are based on autocorrelation sequences of impulse responses and design problems are formulated as a semidefinite program. To achieve sparse designs, l1 norm of filter coefficients is incorporated in the objective function as...
The paper presents the researches to determine the effectiveness of different criteria to estimate the complex biology objects clustering quality. The gene expression sequences of cancer patients were used as experimental data. The degree of the studied objects similarity was estimated by the comparison of the gene expression sequences profile using different metrics to estimate the objects proximity...
Hashing methods have proven to be useful for a variety of tasks and have attracted extensive attention in recent years. Various hashing approaches have been proposed to capture similarities between textual, visual, and cross-media information. However, most of the existing works use a bag-of-words methods to represent textual information. Since words with different forms may have similar meaning,...
An Android-based eModule app has been designed and developed for science, technology, engineering, and mathematics (STEM) education. The eModule consists of: (1) an Android demonstration of echolocation; (2) a set of notes describing the functionality of the app, the basics of echolocation, and its application to advanced signal processing systems such as RADAR, LIDAR, and SONAR; (3) quizzes to test...
This paper presents a method of using wearable accelerometers and microphones to detect instances of ad-hoc physical collaborations between members of a group. 4 people are instructed to construct a large video wall and must cooperate to complete the task. The task is loosely structured with minimal outside assistance to better reflect the ad-hoc nature of many real world construction scenarios. Audio...
In recent years, social media such as Twitter have encountered a significant growth because of the ceaseless increase in the volume of contents and the number of users. The level of influence among social media users is significantly different from one user to the other; and as such, it has become more vital to find the most influential users on social media. There are lots of mysteries about behaviours...
Visual Cryptography is a technique, which is used to conceal the secret image into transparencies and these transparencies are distributed to the intended recipients. They demonstrated a visual secret sharing scheme, where an image was broken up into n shares so that only someone with all n shares could decrypt the image, while any n−1 shares revealed no information about the original image. In this...
With the emergence of Augmented Reality (AR) services in a broad range of application scenarios, the interplay of (compressed) content as delivered and quality as experienced by the user becomes increasingly important. While significant research efforts have uncovered interplays for traditional (opaque) media consumption scenarios, applications in augmented vision scenarios pose significant challenges...
The correlation between visual perception and the evoked emotional response has been investigated extensively in the area of cognitive psychology using the method of electroencephalography (EEG). Activities in the visual cortex have been found to be correlated with psychophysical performance, visual attention, and subjective perceptual experience. While electroencephalography could record the cerebral...
Given the high drop-out rates of students from colleges in USA, including STEM fields, there is a national imperative to address this issue with all possible means. Universities are pushed towards providing students with personalized attention and timely academic feedback. At the same time, intrinsic student motivation also plays an enormous role in success. It is important for educators to present...
In this work, we presented an approach based on Rakaposhi system for securing digital information. The approach is developed to encrypt and decrypt digital information. A gray level image, speech data saved as .wav and text file recorded as .txt are taken to validate the proposed approach. The approach is easy and highly efficient. Some tests are performed to validate the performance of the proposed...
Sampling through crawling is an important research topic in social network analysis. However there is very little existing work on sampling through crawling in directed networks. In this paper we present a new method of sampling a directed network, with the objective of maximizing the node coverage. Our proposed method, Predicted Max Degree (PMD) Sampling, works by predicting which k open nodes are...
We consider a reduced dimensionality representation based on multiple views of the same underlying process. These multiple views can be obtained, for example, using several different modalities, measured with different instrumentation or generated based on different methods of feature extractions. Our framework is based on a cross-view random walk process which is restrained to hop between the different...
We develop a warped correlation finder to identify correlated user accounts in social media websites such as Twitter. The key observation is that humans cannot be highly synchronous for a long duration, thus, highly synchronous user accounts are most likely bots. Existing bot detection methods are mostly supervised, which requires a large amount of labeled data to train, and do not consider cross-user...
Many real-world applications, such as service execution, data centre monitoring, remote sensing, traffic control, customer behaviour, have to deal with the time series which include the values occurring at random time points driven by events. These kinds of time series are sometimes also referred to as event-driven time series. Although estimating the correlation between two time series has been well...
This research aimed at finding out the effects of using mind mapping technique on academic achievement and cognitive load in Engineering Mathematics. Apart from that, the relationship between the cognitive load and academic achievement was also investigated. A total of 28 students were assigned into the experimental group (N=14) and control group (N=14). Academic achievement was measured using post...
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