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Toplam kayıt 127, listelenen: 61-70
Robust Tuning of Power System Stabilizer by Using Orthogonal Learning Artificial Bee Colony
(Elsevier Science Bv, 2015)
This study presents a design technique of a robust power system stabilizer using different performance indices obtained from artificial bee colony (ABC) algorithm. The parameters of a power system stabilizer (PSS) are tuned ...
The Effect of Dictionary Learning Algorithms on Super-resolution Hyperspectral Reconstruction
(Ieee, 2015)
The spatial resolutions of hyperspectral images are generally lower due to imaging hardware limitations. Super-resolution algorithms can be applied to obtain higher resolutions. Many algorithms exist to achieve super-resolution ...
A new hybrid algorithm with genetic-teaching learning optimization (G-TLBO) technique for optimizing of power flow in wind-thermal power systems
(Springer, 2016)
In this study, a new hybrid genetic teaching learning-based optimization algorithm is proposed for wind-thermal power systems. The proposed algorithm is applied to a 19 bus 7336 MW Turkish-wind-thermal power system under ...
Sparse Representation-based Dictionary Learning Methods for Hyperspectral Super-Resolution
(Ieee, 2016)
Due to hardware limitations, hyperspectral imagery has low spatial resolution. It can be obtained super-resolution hyperspectral imagery by means of sparse representation-based methods that are designed for improving spatial ...
Proportional-integral-derivative parameter optimisation of blade pitch controller in wind turbines by a new intelligent genetic algorithm
(Inst Engineering Technology-Iet, 2016)
Output powers of wind turbines (WTs) with variable blade pitch over nominal wind speeds are controlled by means of blade pitch adjustment. While tuning the blade pitch, conventional proportional-integral-derivative (PID) ...
The Effect of Crack Geometry on the Nondestructive Fault Detection in a Composite Beam
(Int Inst Acoustics & Vibration, 2016)
Defects in structures may be inherited from materials and manufacturing or they develop during service. Defects may cause catastrophic failure, which is why their detection and classification are important issues. Many ...
Graph invariants for unique localizability in cooperative localization of wireless sensor networks: Rigidity index and redundancy index
(Elsevier Science Bv, 2016)
Rigidity theory enables us to specify the conditions of unique localizability in the cooperative localization problem of wireless sensor networks: This paper presents a combinatorial rigidity approach to measure (i) generic ...
Structural Depth Estimation Via Depth Maps Of 3 Dimensional Videos
(Ieee, 2016)
3-Dimensional (3D) Video Quality Assessment (VQA) has been an important area for researchers working in this area. The reason is there isn't any well accepted and standardized VQA method for 3 Dimensional (3D) as for ...
Video Content Analysis Method for Audiovisual Quality Assessment
(Ieee, 2016)
In this study a novel, spatio-temporal characteristics based video content analysis method is presented. The proposed method has been evaluated on different video quality assessment databases, which include videos with ...
Yüz ifade analizinde öznitelik seçimi ve çoklu SVM sınıflandırıcılarına etkisi
(2009)
Yüz ifadeleri, insan ilişkilerinde anlam bütünlüğünün sağlanması için büyük rol oynayan, sözlü olmayan işaretlerdir. İnsanoğlu yüz ifadelerini kavramada herhangi bir zorluk çekmezken, bu durum makineler için geçerli olmayıp, ...