Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Publication
-
- Journal of System Simulation (2)
- Turkish Journal of Electrical Engineering and Computer Sciences (2)
- Allocating and Managing Water for a Sustainable Future: Lessons from Around the World (Summer Conference, June 11-14) (1)
- Culminating Projects in Computer Science and Information Technology (1)
- Graduate Theses, Dissertations, and Problem Reports (1)
- Publication Type
Articles 1 - 10 of 10
Full-Text Articles in Entire DC Network
Forestry Fire Spatial Diffusion Model Based On Integration Of Multi-Agent Algorithm With Cellular Automata, Zhao Di, Zhisheng Xu
Forestry Fire Spatial Diffusion Model Based On Integration Of Multi-Agent Algorithm With Cellular Automata, Zhao Di, Zhisheng Xu
Journal of System Simulation
Abstract: In view of the existing ultrasonic detection signal attenuation, directional difference, complex propagation paths, and characteristics of the components of complex, a kind of intelligent concrete defect nondestructive detection algorithm based on multi resolution singular entropy was put forward. By using the wavelet algorithm, the ultrasonic signal was decomposed into high, low frequency components of multi scales for each component, then each component was decomposed by singular spectrum analysis, at the same time using the information entropy theory, the calculation of singular entropy as the characteristic defect detection value, using the GA-SVM algorithm was used to train the singular …
Genetic Algorithms Used For Search And Rescue Of Vulnerable People In An Urban Setting, Shuhad Aljandeel
Genetic Algorithms Used For Search And Rescue Of Vulnerable People In An Urban Setting, Shuhad Aljandeel
Graduate Theses, Dissertations, and Problem Reports
The main goal of this research is to design and develop a genetic algorithm (GA) for path planning of an Unmanned Aerial Vehicle (UAV) outfitted with a camera to efficiently search for a lost person in an area of interest. The research focuses on scenarios where the lost person is from a vulnerable population, such as someone suffering from Alzheimer or a small child who has wondered off. To solve this problem, a GA for path planning was designed and implemented in Matlab. The area of interest is considered to be a circle that encompasses the distance the person could …
Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan
Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan
Journal of System Simulation
Abstract: This paper proposes a method of quality control chart recognition based on Quantum Genetic Clustering Algorithm. This method is divided into two parts: quality feature extraction and pattern classification. By combining Quantum Genetic Algorithm(QGA) and K-means algorithm, a quantum genetic clustering algorithm based on a mechanism for determining the rotation direction of a quantum rotary gate is proposed, and its performance is verified by experimental simulation. Based on the clustering analysis of quality data using the quantum genetic algorithm proposed in this paper, a control chart feature description method is proposed. With this feature as input, Support Vector …
Quantum Control Via A Genetic Algorithm Of The Field Ionization Pathway Of A Rydberg Electron, Vincent C. Gregoric, Xinyue Kang, Zhimin Cheryl Liu, Zoe A. Rowley, Thomas J. Carroll, Michael W. Noel
Quantum Control Via A Genetic Algorithm Of The Field Ionization Pathway Of A Rydberg Electron, Vincent C. Gregoric, Xinyue Kang, Zhimin Cheryl Liu, Zoe A. Rowley, Thomas J. Carroll, Michael W. Noel
Physics and Astronomy Faculty Publications
Quantum control of the pathway along which a Rydberg electron field ionizes is experimentally and computationally demonstrated. Selective field ionization is typically done with a slowly rising electric field pulse. The (1/n*)4 scaling of the classical ionization threshold leads to a rough mapping between arrival time of the electron signal and principal quantum number of the Rydberg electron. This is complicated by the many avoided level crossings that the electron must traverse on the way to ionization, which in general leads to broadening of the time-resolved field ionization signal. In order to control the ionization pathway, thus …
Heuristic Algorithm-Based Estimation Of Rotor Resistance Of An Induction Machine By Slot Parameters With Experimental Verification, Mehmet Çelebi̇, Murat Tören
Heuristic Algorithm-Based Estimation Of Rotor Resistance Of An Induction Machine By Slot Parameters With Experimental Verification, Mehmet Çelebi̇, Murat Tören
Turkish Journal of Electrical Engineering and Computer Sciences
The estimations of induction machine equivalent circuit parameters are still being widely used in the analysis and in determining the characteristics of the machine. Since the most important part of the machine is the rotor where torque is produced, the calculation of rotor resistance correctly will directly affect all other data. Almost all parameters belonging to the stator side can easily be determined through external measurements. However, due to the formulation of the rotor as a closed box, estimating rotor resistance and the rotor's slot shape by heuristic algorithms, without damaging the rotor physically, and comparing it with its actual …
Parameter Calibration Method Based On Ga Technique For Multi-Event, Yeonjoo Kim, Eun-Sung Chung, Kwangjai Won, Byungho Kong, Kyungil Gil
Parameter Calibration Method Based On Ga Technique For Multi-Event, Yeonjoo Kim, Eun-Sung Chung, Kwangjai Won, Byungho Kong, Kyungil Gil
International Conference on Hydroinformatics
Accurate parameter estimation based catchment modeling systems requires considerable work to establish credibility. In this paper, a methodology for parameter estimation of hydrologic simulation model is proposed to simultaneously include several rainfall events using Shannon entropy. The proposed methodology uses Genetic Algorithm(GA) optimization techniques for the Storm Water Management Model (SWMM). Shannon entropy theory was applied to calculate weights according to each rainfall event in study area. A case study application was undertaken using the Milyang-dam basin, in Korea. Three events are applied to calculate Shannon entropy weights. Then, Nash-Sutcliffe Efficiency(NSE) & Root Mean Square Error(RMSE) are compared with those …
Fractional Pid Controllers Tuned By Evolutionary Algorithms For Robot Trajectory Control, Zafer Bi̇ngül, Oğuzhan Karahan
Fractional Pid Controllers Tuned By Evolutionary Algorithms For Robot Trajectory Control, Zafer Bi̇ngül, Oğuzhan Karahan
Turkish Journal of Electrical Engineering and Computer Sciences
The aim of this paper is to compare the performances of a fractional order proportional integral derivative (FOPID) controller tuned with evolutionary algorithms for robot trajectory control. In order to make this comparison, a 2-degrees-of-freedom planar robot was controlled by a FOPID controller tuned with particle swarm optimization (PSO) and a real coded genetic algorithm (GA). In order to see the effects of the cost functions on the optimum parameters of the FOPID controller, 3 different cost functions were used: the root mean squared error (MRSE), mean absolute error (MAE), and mean minimum fuel and absolute error (MMFAE). In order …
A Genetic Algorithm For The Longest Common Subsequence Problem, Brenda Hinkemeyer
A Genetic Algorithm For The Longest Common Subsequence Problem, Brenda Hinkemeyer
Culminating Projects in Computer Science and Information Technology
The Longest Common Subsequence problem (LCS) is a known NP-complete problem that computes the longest subsequence (series of characters occurring in the same order, although not necessarily consecutively) that any number of strings share. An LCS is not necessarily unique for any combination of strings; however, the length will be. The computationally difficult version of this problem occurs when the number of strings and the LCS length are not fixed. The problem has a number of applications: anything from searching content to file difference listings. There is no single solution that fits all situations, and the deterministic solutions available are …
Optimal Operation And Sustainability Of The Multiple Reservoir System In The Yaqui Valley In Sonora, Mexico [Abstract], José Luis Minjares, Zohrab Samani
Optimal Operation And Sustainability Of The Multiple Reservoir System In The Yaqui Valley In Sonora, Mexico [Abstract], José Luis Minjares, Zohrab Samani
Allocating and Managing Water for a Sustainable Future: Lessons from Around the World (Summer Conference, June 11-14)
2 pages.
Topographical Surveying, Nelson D. Brayton
Topographical Surveying, Nelson D. Brayton
Manuscript Thesis Collection
A study of the use of surveying and topography to develop maps.