Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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Leaf Mechanical Resistance: Effect of Leaf Geometry Shapes for Maturity Classification
The leaf mechanical resistance differs by species; leaf geometry shape, besides they are maturity-transition dependent. Despite the leaf developments being described extensively, different leaf geometry shapes and its maturity influence on its mechanical resistance is still vague. This paper discusses the statistical significance of the leaf mechanical resistance by geometry shapes for leaf maturity classification. Tensile tests were performed on ten samples from each of 20 species leaf lamina strips (5 x 50 mm) at three maturity states (young, adult, and old). The indicators used were the Tensile Strength (ST), Work-to-Tear (WT), and Specific Work-to-Tear (SWT). Statistical and classification analyses, supported by SPSS and Waikato Environment for Knowledge Analysis (WEKA) tools, were performed to examine the leaf mechanical resistance indicators on the maturity states predictions. All ST, WT, and SWT showed statistical significance were for the young-adult. The young-old was only significant for WT which showed the better accuracy of 0.11% - 27.14% above ST and SWT for maturity classification. However, classification accuracy was higher for WT attribute on significant leaf geometry shapes segregation, with enhancement of 33.63%. The study suggests that WT measure on significant leaf geometry shapes is a useful indicator of leaf maturity state classification
Performance Assessment of the Optimum Feature Extraction for Upper-limb Stroke Rehabilitation using Angular Separation Method
Most of the human everyday activities will require the use of their upper-limb muscles. The pattern of upper-limb muscle movement can be used to estimate upper-limb motions. Fundamental arm movement which is part of upper-limb muscle rehabilitation activity has been studied in order to investigate the time domain features, frequency domain, and time-frequency domain from the surface electromyogram (sEMG) signal of the upper-limb muscle. The relationship of electromyogram (EMG) signal and the rehabilitation exercise of related upper limb muscles movements are analyzed in this study. Then the features from the three domains were compared using Angular Separation Method to determine optimal feature. The result shows that MinWT has the best value of similarity which is 0.98, followed by a MeanWT feature which resulted in 0.91 of similarity. These results of EMG signal feature extraction can be used later in the study of human upper-limb muscle especially for analyzing EMG signal from patient undergone a rehabilitation treatment
Influence Maximization Towards Target Users on Social Networks for Information Diffusion
Influence maximisation has been an area of active research in recent years. This study aims to extend the fundamental influence maximisation problem (IMP) with respect to a set of target users on a social network. It is important to aim at the target users to speed up the rate of information diffusion and reduce the information diffusion cost. In doing so, the MITU algorithm was formulated and compared with state of the art algorithms. Publicly available datasets were used in validating the proposed algorithm. It was found that the MITU identified all target nodes while significantly lowering the information diffusion cost function (IDCF) by up to 79%. The influence overlap problem was equally identified in the heuristic algorithm where the seed set size was reduced by an average of six times. Furthermore, the random influencer selection identifies target nodes better than the betweenness and PageRank centralities. The findings could help organisations to reach target users on social media in the shortest cycle
Adaptive Segmentation and Stitching on 8K UHD Video
Transmission technology is necessary to display contents stored on the Cloud server. When excessive compression is performed to the transmission of ultra-high resolution image, tangibility is reduced. Therefore, in this paper, we proposed an algorithm that divides the image into a number of sub-images. The sub-images were restored to the original one by stitching at the receiver. In the existing study, important objects were located at the center of the images, but an exception occurred when they are at the edge of the images. The saliency map was used to detect their main part so that the region of interest will not be divided. The images were divided depending on the position of saliency map. It is expected that users will be able to provide realistic signage by displaying ultra-high resolution images with a large screen
Performance Evaluation of Chaos Based IDMA Scheme Using Joint Turbo Equalization Over Frequency Selective Fading Channel
This paper proposed the analysis of a new chaos based interleave division multiple access (CB-IDMA) wireless communication system. It also proposed the use of joint turbo equalization to mitigate the effect of intersymbol interference (ISI) in deep faded frequency selective channel. In this study, the proposed CB-IDMA system used the chaotic Tent map for the design of a robust interleaver, which produces low correlation among the users and yields better bit error rate performance. The proposed structure combined the joint turbo equalization for the cancellation of ISI and multiple access interference (MAI), which was observed as the main impediment to successful IDMA communication over frequency selective multipath fading channel. Two types of frequency domain equalizers were considered for performance evaluation; zero forcing (ZF) and minimum mean square error (MMSE) equalizer. Simulation experiments were performed in MATLAB and the results demonstrated that the proposed CB-IDMA system with joint turbo equalization may be preferred in deep fading environment
Meta Heuristic for WDM Optical Networks Without Wavelength Conversion
This paper presents the results of the algorithm Snake-Two, evolving from algorithm Snake-One, which showed important results in the blocking probability of transport networks under dynamic traffic, but poor results in the network utilization indicator. The strategy applied is called Saturated Link and it moves traffic to congestion zones, creating concentrated network utilization, thus improving blocking probability. This is achieved by monitoring congested links using the full saturation capacity of each link. This way, the ones least used are downloaded, which enables keeping the congestion zoned and saturated, significantly lowering the blocking probability with low network utilization cost for dynamic traffic scenarios
Swarm Intelligence Optimization Algorithms: A Review
Swarm Intelligence, of late, has gradually become an exciting area of research interest to many researchers in science and engineering. The primary reason for this interest is because swarm intelligence exploits the miraculous cum harmonious working of nature in ensuring order, preservation, conservation, longevity and sustenance of plants and animals in the ecosystem. As a result, researchers that believe that mimicking nature is key to solving diverse problems in engineering, technology and science has developed a number of swarm intelligence techniques. This paper presents a review of some recently developed swarm intelligence algorithms that have been successfully applied to solve a number of optimization problems with special emphasis on their application areas, strengths and observable weaknesses. This study aims to assist researchers in their choice of algorithm to solve optimization problems
Consolidating Literature for Images Compression and Its Techniques
With the proliferation of readily available image content, image compression has become a topic of considerable importance. As, rapidly increase of digital imaging demand, storage capability aspect should be considered. Therefore, image compression refers to reducing the size of image for minimizing storage without harming the image quality. Thus, an appropriate technique is needed for image compression for saving capacity as well as not losing valuable information. This paper consolidates literature whose characteristics have focused on image compression, thresholding algorithms, quantization algorithms. Later, related research on these areas are presented
The Application of the Pulse Radar Signal for the Terrain's Type and the Lengthened Objects Identification
This paper concentrated on radar signals, which are reflected from the terrain. We designed the algorithm that allows for some properties of the underlying terrain to be determined. A comparison process of two or more distributions was conducted, in which one of the distributions presented the distribution of the signal, reflected from typical terrain. Another distribution corresponded to the unidentified terrain. After the algorithms application, a decision on the most suitable terrain for the unidentified distribution was made. We then identified which type of the lengthened object crossed if the type of terrain changed
Framework Design for Map-Based Navigation in Google Android Platform
This research proposes a design of mobile application framework that allow mobile application developers to develop their own outdoor mobile navigation application with the possibilities of utilizing multiple different pathfinding methods by using Abstract Factory design pattern for an optimized mobile navigation application in Google Android platform. The proposed framework has main functionality of providing navigation path from source or user location to a particular or user-specified location and then represents it visually on a digital map. Dijkstra and A-Star algorithms are implemented to show the effectiveness of the proposed mobile application framework design. An Android application prototype is constructed using the application framework and it has been successfully developed and satisfies the specified requirements. Mobile application framework design, performance comparison of pathfinding methods implementation, and a recommendation in specifying pathfinding method to use during application runtime are also provided