Search Results - (( developing mobile normalization algorithm ) OR ( java implication _ algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…Currently, normal SMS using GSM communication is not secured and safe enough. …”
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Multi-dimensional Data Visualisation using Mobile Augmented Reality
Published 2020“…This research proposes and develops a multi-display data visualisation algorithm using mobile augmented reality, as augmented reality (AR) is beyond the two-dimensional screen. …”
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…The first algorithm DCFP outperforms the NCPR algorithm in terms of normalize routing overhead by 11.27%, while maintaining the same packet delivery ratio. …”
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Thesis -
5
Algorithms based on spider daddy long legs for finding the optimal route in securing mobile ad hoc networks
Published 2016“…However, this mechanism is vulnerable to attacks by malicious black hole nodes. The mechanism is developed to find the shortest secure path and to reduce overhead using the information that is available in the routing tables as an input to propose a more complex nature-inspired algorithm. …”
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Computing non-contactable drowsiness monitoring system with mobile machine vision
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The application of firefly algorithm in an adaptive emergency evacuation centre management (AEECM) for dynamic relocation of flood victims
Published 2016“…This study undergoes two main phases; development of algorithm and models, and development of a web-based and mobile app.The proposed model operates using Firefly multi-objective optimization algorithm that creates an optimal schedule for the relocation of victims and resources for an evacuation centre.The proposed decision aid model and the adaptive system can be applied in supporting the National Security Council’s respond mechanisms for handling disaster management level II (State level) especially in providing better management of the flood evacuating centres.…”
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9
Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment
Published 2016“…Therefore, a new technique and algorithm were developed to resolve the image scale uncertainty. …”
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…The second stage is detecting jammers by integrating both lower layers by developing Integrated Combined Layer Algorithm (ICLA). …”
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Human activity and posture classification using smartphone sensors and Matlab mobile
Published 2022“…This work aims to evaluate the accuracy of the triaxial accelerometer in the Matlab Mobile and examine the development and performance of the algorithms in identifying human motions on individuals of similar ages and physical appearances. …”
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Proceeding Paper -
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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3D modeling of indoor surfaces with occlusion and clutter
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Working Paper -
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SUMO enhancement for vehicular ad hoc network (VANET) simulation
Published 2017“…In order to study the algorithm in VANET, a mobility simulator is needed for simulation. …”
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Proceedings -
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Artificial neural controller synthesis for TORCS
Published 2015“…With the development of science and technology, computer games, video games and mobile games as an entertainment are becoming more popular in our society. …”
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