Search Results - (( data virtualization path algorithm ) OR ( variable extracting sensor algorithm ))
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Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi
Published 2008“…Therefore, it is the aim of this study to conduct a research about the Dijsktra’s algorithm implementation for shortest path calculation in 3D environment. …”
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Thesis -
2
A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network
Published 2023“…The multi-criterion energyefficient routing mechanism uses the ACO algorithm, inspired by ants' foraging behaviour. In Bluetooth M-LPNWSN systems, virtual ants explore paths based on signal robustness, distances, and energy consumption. …”
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3
Design and implementation of MD5 hash function algorithm using verilog HDL
Published 2022“…The architecture includes MD5 padding block, data path, and a controller. A general concept and implementation of the MD5 hash function is described. …”
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4
Development of obstable avoidance system for 3D robot navigation
Published 2024“…In conclusion, the developed algorithm enables the robot to detect obstacles that are not on the same plane as the 2D LiDAR and cannot be detected using depth camera data.…”
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Final Year Project / Dissertation / Thesis -
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Design and Implementation of MDS Hash Function Algorithm Using Verilog HDL
Published 2020“…The architecture includes MD5 padding block, data path, and a controller. A general concept and implementation of the MD5 hash function is described. …”
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Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke
Published 2019“…This is further worsen by the use of single sensors modality and machine learning algorithms. …”
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7
Vehicle route tracking system based on vehicle registration number recognition using template matching algorithm
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Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study
Published 2019“…In this field, it was not possible to predict extractable P and K using all tested sensor combinations or algorithms. …”
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Google the earth: what's next?
Published 2010“…Technologically, the challenge is to design sensors that exhibit high sensitivity to the parameters of interest while minimizing instrument noise and impacts of other natural variables. …”
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Inaugural Lecture -
11
Intruder localization wireless sensor network radar design with virtual reference tags
Published 2014“…This research designs a WSN (Wireless Sensor Network) algorithm for human intruder localization and path detection. …”
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12
Wavelet based fault tolerant control of induction motor / Khalaf Salloum Gaeid
Published 2012“…The fault detection algorithm identifies the time and location of each fault. …”
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13
Simulation and Design of an Intelligent Mobile Robot for Fire Fighting
Published 2003“…Keywords: (Fuzzy logic control, mobile robot, part recognition algorithms)…”
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14
Controller placement problem in the optimization of 5G based SDN and NFV architecture
Published 2021“…The fast rise in data traffic and the vast range of services and applications accessible in 5G networks must be addressed effectively. …”
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15
End to end performance analysis over IP RAN network / Armi Shahran Mohamad
Published 2011“…Due to that functionality, ATM makes a good choice for a network that must handle both traditional high-speed data (e.g. File transfer), and real time, low latency content such as voice and video. …”
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16
New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams
Published 2022“…Despite the effective proposed GMPPT algorithm, the PSCs reduce the maximum power extraction capability of the PV system heavily due to the activation of bypass diodes. …”
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17
Efficient hybrid flooding scheme for ad-hoc on-demand distance vector routing protocol in MANET
Published 2014“…The scheme showed better data delivery and lower average-end-to-end delay with good flooding efficiency. …”
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18
Oil palm female inflorescences anthesis stages identification using selected emissivities through thermal imaging and Machine Learning
Published 2022“…This research studies different Machine Learning (ML) classification and ensemble techniques for the assessment of the four pollination stages consist of pre-anthesis I, pre-anthesis II, pre-anthesis III, and anthesis using thermal imaging. Different ML algorithms such as Random Forest (RF), k Nearest Neighbor (kNN), Support Vector Machine (SVM), Artificial Neural Network (ANN) as well as an ensemble method are used on data extracted from thermal images collected during infield oil palms pollination stages monitoring. …”
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Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm
Published 2018“…In the first phase, spectral features and structural features were extracted for feature extraction. In the spectral features part, the descriptors include red (R), green (G), blue (B), near-infrared (NIR) digital numbers and a vegetation index (VI) was considered. …”
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