Search Results - (( java application sensor algorithm ) OR ( parameter representation _ algorithm ))
Search alternatives:
- parameter representation »
- application sensor »
- java application »
- sensor algorithm »
-
1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
Get full text
Get full text
Get full text
Article -
2
A new corner detection algorithm for chain code representation.
Published 2005Get full text
Get full text
Article -
3
Switching algorithm to avoid attitude representation singularity
Published 2009“…This description may possess computational savings and allow continued use of insightful variables when compared with nonminimal representations such as Euler parameters. The algorithm is numerically demonstrated and validated by several nonlinear six degree of freedom simulation tests.…”
Get full text
Get full text
Get full text
Proceeding Paper -
4
Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…Besides, the usage of artificial technique for data representation is getting popular lately. Thus, this thesis is dedicated for the representation of curves and surfaces. …”
Get full text
Get full text
Thesis -
5
Modified word representation vector based scalar weight for contextual text classification
Published 2024“…Central to this process is the representation of words through vectors for computational interpretation. …”
Get full text
Get full text
Thesis -
6
Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006Get full text
Get full text
Monograph -
7
Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
Published 2024“…The accurate representation and optimization of these parameters are crucial for reliable predictions and effective decision-making in agricultural practices. …”
Get full text
Get full text
Get full text
Article -
8
Logo recognition using Artificial Neural Network (ANN) / Nor Hamidah Abdul Ghafar
Published 2005“…The binary representation was used for the input node of neural network for back propagation training algorithm. …”
Get full text
Get full text
Student Project -
9
VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…Floorplanning optimization consists of representation and optimization algorithm. In present work, Dot Model (DM) and Corner Bottom Left List (CBLL) were developed as floorplan representation. …”
Get full text
Get full text
Thesis -
10
Human activity recognition via accelerometer and gyro sensors
Published 2023“…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
11
Surface Moisture Content Retrieval from Visible/Thermal Infrared Images and Field Measurements
Published 2013“…Moisture content parameters were calculated, and then the moisture content algorithm was generated accordingly for the two study locations with three different “Split-window” algorithms and finally a spatial validation of satellite θ algorithms was conducted for accuracy assessment. …”
Get full text
Get full text
Article -
12
Time-Frequency Analysis of FSK Digital Modulation Signals using the Smooth Lag-Windowed Wigner-Ville Distribution.
Published 2003“…The algorithm generates the time-frequency representation directly based on the signal characteristics. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
13
Switching principles to circumvent Euler angle singularity
Published 2010“…This description may possess computational savings and allow continued use of insightful variables when compared with nonminimal representations such as Euler parameters. The algorithm is numerically demonstrated and validated by a nonlinear six degree of freedom closed-loop spacecraft simulation test.…”
Get full text
Get full text
Get full text
Proceeding Paper -
14
Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…Three algorithms were used to accomplish the task of feature representation. …”
Get full text
Get full text
Thesis -
15
Single parent mating in genetic algorithm for real robotic system identification
Published 2023“…As a popular search method, genetic algorithm (GA) is used for selecting a model structure. …”
Get full text
Get full text
Get full text
Article -
16
Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
Published 2011“…The genetic algorithm technique is explained and the real number representation of genetic algorithm is modeled. …”
Get full text
Get full text
Thesis -
17
Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…Hybridization in evolutionary algorithm mechanisms such as initialization methods, local searches, specific design operators, and self-adaptive parameters enhance the algorithm’s performance. …”
Get full text
Get full text
Get full text
Get full text
Article -
18
EFFECT OF PENALTY FUNCTION PARAMETER IN OBJECTIVE FUNCTION OF SYSTEM IDENTIFICATION
Published 2013“…The search was done using genetic algorithms. A representation of the sensitivity of the penalty function parameter value in model structure selection is given, along with a proposed mathematical function that defines it. …”
Get full text
Get full text
Article -
19
Bouc-Wen Model Parameter Identification for a MR Fluid Damper Using Particle Swarm Optimization
Published 2014“…Irregularity hysteresis of Bouc-Wen model is colloquial with magneto-rheological (MR) fluid damper. The model parameters are identified with a Particle Swarm Optimization (PSO) which involves complex dynamic representation. …”
Get full text
Get full text
Get full text
Article -
20
Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures
Published 2020“…A total of sixty anomaly detectors were trained by authors using twelve conventional Machine Learning algorithms to compare the performance of aforementioned deep representations with that of a human-engineered handcrafted network data representation. …”
Get full text
Get full text
Article
