Search Results - (( linear interpolating data algorithm ) OR ( java implementation path algorithm ))

Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
Get full text
Get full text

STEP-NC Interpolator for General 2D and 3D Parametric Curve / Dzullijah Ibrahim...[et al.] by Ibrahim, Dzullijah, Yaakob, Yusli, Hussin, Norasikin, Samad, Zahurin

“…The generated output of the interpolated data is computer simulated for 2D circular-arc paths and 3D linear paths to verify the validity of the interpolator input generated by the proposed interface.…”
Get full text
Get full text

Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
Get full text
Get full text

Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
Get full text
Get full text
Get full text
Get full text

Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
Get full text
Get full text

The development of spatio-temporal data model for dynamic visualization of virtual geographical information system by Mohd. Rahim, Mohd. Shafry, Daman, Daut

“…Result shows that the proposed data model is able to perform well with a visualization algorithm using linear interpolation and an improved TIN structure. …”
Get full text
Get full text

Assessment of landsat 7 scan line corrector-off data gap-filling methods for seagrass distribution mapping by Hossain, Mohammad Shawkat, Bujang, Japar Sidik, Zakaria @ Ya, Muta Harah, Hashim, Mazlan

“…To assess the geometric and radiometric fidelity of the recovered pixels, three potential gap-filling methods were examined: (a) geostatistical neighbourhood similar pixel interpolator (GNSPI); (b) weighted linear regression (WLR) algorithm integrated with the Laplacian prior regularization method; and (c) the local linear histogram matching method. …”
Get full text
Get full text

Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia by San, Limhwee

“…The developed algorithms are two-band algorithm, terma linear and modified algorithm from the combination of the visible and infrared thermal bands. …”
Get full text
Get full text

Volumetric spatiotemporal data model by Mohd. Rahim, Mohd. Shafry, Mohamaed Shariff, Abdul Rashid, Alias, Mohammad Ashari

“…Result shows that the data model which has been proposed can work with a visualization algorithm using linear interpolation and improvement TIN structure.…”
Get full text
Get full text
Get full text

Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour by Neyamadpour, Ahmad

“…These results show that,for all the arrays (2D and 3D) except 3D pole - dipole data, resilient propagation is the most efficient algorithm for training the DC resistivity data. …”
Get full text
Get full text

S-box construction from non-permutation power functions by Isa H., Jamil N., Z'aba M.R.

Development and Application of a Finite Element Distributed Rainfall Runoff Simulation Model by Huang, Yuk Feng

“…Finite element simulations have been shown to compare favourably with observed laboratory data. Linear element simulation was found to give results as accurate as the quadratic element simulation. …”
Get full text
Get full text

Parallel strategies on a distributed parallel computer system by Alias, Norma

“…There are IADEI method which is based on Richardson's formula and AGE\_BRIAN which is based on linear interpolation concept. The development of a few strategies parallel is being as a mechanism for IADE to make it implemented in parallel. …”
Get full text
Get full text

Cause and effect prediction in manufacturing process using an improved neural networks by Mohd Nawi, Nazri, Abdul Hamid, Noorhamreeza, Samsudin, Noor Azah, Harun, Zawati, Ab Aziz, Mohd Firdaus, Ramli, Azizul Azhar

“…A new approach to enhance the performance of the current Knowledge Hyper-surface method has been proposed by constructing midpoints between each primary weight along each dimension by using a quadratic Lagrange interpolation polynomial. The new secondary-weight values, generated due to the addition of midpoints, were also represented as a linear combination of the corresponding primary/axial weight values. …”
Get full text
Get full text

Prediction of rice biomass using machine learning algorithms by Radhwane, Derraz

“…Further, the Q-TESI, C-TESI, and LTESI minimise the proportionality of interpolation error to the square of the distance between the data points compared to the LN-TESI. …”
Get full text
Get full text

Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
Get full text
Get full text

Ensemble learning using multi-objective optimisation for arabic handwritten words by Ghadhban, Haitham Qutaiba

“…Most ensemble learning approaches are based on the assumption of linear combination, which is not valid due to differences in data types. …”
Get full text
Get full text
Get full text
Get full text

Development of mapping methods for seagrass meadows in Malaysia by using landsat images by Hossain, Mohammad Shawkat

“…The next study was focused on assessment of the geometric and radiometric fidelity of images reconstructed by three potential gap-filling methods: (1) Geostatistical Neighbourhood Similar Pixel Interpolator (GNSPI), (2) Weighted linear regression algorithm integrated with Laplacian prior regularization, and (3) Local Linear Histogram Matching methods. …”
Get full text
Get full text