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The Cognitive learning process of a human being normally begins with sensory inputs. This process of learning gets hampered in case of persons with one or more perceptual disability. Vision being one of the most important perception, maximum learning happens through it. The absence of vision in humans is often supported by Tactile or Auditory perception during the cognitive learning process. Colour...
When reading financial news, although there are critics explaining the fluctuation of Economic indexes in articles everyday, the news often assert bias on authors' favorite opinions. On the other hand, the amount of financial news published these days is staggering with diversified opinions on the same issues. Unless with acumen for the whole environment, audience will find hard to stay objective...
This paper examines the effects of visual complexity and figure-background color contrast of e-commerce websites on consumers' emotional responses (i.e., pleasantness, arousal, and dominance) which is considered as the direct antecedents to online shopping behaviors. Data collection was carried out in a laboratory experiment, which was a 4 (visual complexity) x 4 (figure-background color contrast)...
The author considers that applying a Stroop effect to the extracting method of the event related potential (ERP) by presenting the characters as a visual stimulus contributes to the development of the reactive brain machine interface. In order to investigate the influence of the Stroop effect on the brain wave, one of the two Chinese characters "red" and "blue" is turned into red...
Based on the foundation of color theory, the symbolism and human emotions commonly attached to color, and how these factors can directly influence business branding, we developed a framework that helps web designers to select and optimize color scheme for websites and web applications, while avoiding common pitfalls that drive customers away, and standing out in today's fiercely competitive Internet...
In this paper, a robust blind color image watermarking technique using Online Sequential Extreme Learning Machine (OS-ELM) is proposed. Blue channel is utilized and transformed using DWT. Low frequency LL4 sub-band is used for watermark embedding. A variant of mini-batch machine learning algorithm i.e. OS-ELM is initially tuned with a fixed number of training data used in its initial phase and size...
Numerous work has been done in biologically inspired robotics emulating models, systems and elements of nature for the purpose of solving traditional robotics problems. Chromatic behaviours are abundant in nature across a variety of living species to achieve camouflage, signaling, and temperature regulation. The ability of these creatures to successfully blend in with their environment by changing...
Rectangular treemaps divide a rectangle and then its subdivisions in a two-dimensional space, and have high space utilization in visualizing large hierarchical datasets. Most current treemaps, however, do not clearly show the relations between the items of the same level. This paper presents a new layout called concentric rings ordered tree (CROT), which hardly wastes any space and also shows sibling...
Sentiment analysis found various applications in banking, financial, service, and insurance sector. In this regard, we proposed to analyze customer reviews on the basis of sentiment score. We analyzed a set of credible text reviews collected on 270 training programmes posted by 2688 participants in an organization. In order to evaluate the efficacy of the proposed approach, we computed correlation...
Steady state visual evoked potentials are widely exploited in EEG-based BCI systems. Frequency and code based flickering stimuli are the two major methods used to induce SSVEP responses. Considering the tiring effect of flashing icons in the long run, the less noticeable the flashes become, the more tolerable they will be. Based on the user ratings, who experienced both, code and frequency based stimulation,...
Brain-computer Interfaces (BCIs) are the communicating bridges between the human brain and a computer which may be implemented on the basis of Steady-state Visual Evoked Potentials (SSVEPs). It is mandatory to improve the stimulation for the betterment of the accuracy of modern BCIs, higher Information Transfer Rate (ITR), desired bandwidth (BW), and Signal to Noise Ratio (SNR) of BCIs. The performance...
In order to show the scientific status of Harbin Engineering University (HEU) in recent five years, the scientific papers published by the staff in HEU in the period of 2008–2012 were extracted out from the SCI database. These papers were processed by the CiteSpaceII software, which is a visual software for Bibliometrics. The kernel researchers, kernel fields, and the kernel institutions and countries...
This paper intends to solve palm fruit grading using the proposed prototype and Palm fruit ripeness Unified Modeling Language diagrams. In this paper the issues of correct harvesting prediction, categorizing palm fruits and distinguishing Ripe and Overripe fruit is solved suing Unified Modeling Language (UML) diagrams. UML diagrams designed and shown in the paper helped to model and implement the...
A new method for hyperspectral image (HSI) visualization is proposed in this paper, which emphasizes on pairwise distance preservation and detail enhancement. It includes two sequential steps. The first reduces the high dimensional spectral space of HSI to 3-D color space by distance preservation method, and then enhancesthe detailed information by Lapla-cian pyramid. Distance preservation is an optimization...
Being able to play games in early years is very important for the development of children. Even though, children with physical disabilities encounter several obstacles that exclude them from engaging in many popular games. In particular, children with severe motor disabilities that rely on one-switch interfaces for accessing electronic devices find dynamic video games completely unplayable. In this...
The role of partitioned colour-based global descriptors is well known in video similarity detection tasks for their inexpensive yet effective performance compared to local descriptors. They provide robust and discriminative results in content-preserving visual distortions such as strong re-encoding, pattern insertions and photometric effects. The current research evaluates the effectiveness of three...
The goal of surveillance video abstraction is to generate a video abstract that includes important events and object by eliminating the redundant frames, lacking from activity in original video. Although many research and progresses have been done in video abstraction, the developed approaches either fail to accurately and effectively cover the overall visual content of video or they are computationally...
This paper reports our latest experimental results on analyzing human's continuous learning ability with the reflection cost. To fill in the missing piece of reinforcement learning framework for the learning robot, we focus on two human mental learning processes, awareness as pre-learning process and reflection as post-learning process. To observe mental learning processes of a human, we propose a...
The performance of call graph analytics is critical to the development and management of large-scale software systems. Classical call graph visualizers either reuse a plain node-link graph metaphor that does not scale, or adopt the specific aggregation technique like the PivotGraph. In this paper, we first generalize the OLAP analysis framework from multidimensional data to multivariate graphs. Then...
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