A novel extraction method of high frequency small-signal model parameters for MOSFET is proposed. From S-parameter measurement, this technique accurately extracts the MOSFET model parameters including the charge conservation capacitance parameters. To consider charge conservation, nonreciprocal capacitance is considered. The modeled S-parameters fit the measured ones well without any optimizati...

Algorithms for extraction of logical rules from data that contains real-valued components require determination of linguistic variables or membership functions. Context-dependent membership functions for crisp and fuzzy linguistic variables are introduced and methods of their determination described. Methodology of extraction, optimization and application of sets of logical rules is described. ...

The endmember extraction algorithm, which selects a collection of pure signature spectra for different materials, plays an important role in hyperspectral unmixing. In this paper, the endmember extraction algorithm is described as a combinatorial optimization problem and a novel Mutation Operator Accelerated Quantum-Behaved Particle Swarm Optimization (MOAQPSO) algorithm is proposed. The propos...

Image segmentation has been widely used in document image analysis for extraction of printed characters, map processing in order to find lines, legends, and characters, topological features extraction for extraction of geographical information, and quality inspection of materials where defective parts must be delineated among many other applications. In image analysis, the efficient segmentatio...

Relations between medical concepts convey meaningful medical knowledge and patients’ health information. Relation extraction on Clinical texts is an important task of information extraction in clinical domain, and is the key step of building medical knowledge graph. In this research, the task of relation extraction is based on the task of concept recognition and is implemented as relation class...

As business information quickly varies with time, the extraction of knowledge from the related dynamically changing database is vital for business decision making. For an incremental learning optimization on knowledge discovery, a new incremental matrix describes the changes of the system. An optimization incremental algorithm induces interesting knowledge when the object set varies over time. ...

The extraction of circuit models for package power supply distribution systems from the results of full wave EM simulations is addressed. Both time and frequency domain optimizations are used for the extraction. The frequency domain optimization was found to be more reliable. An example is shown for illustration.

We propose an approach to interleave surface reconstruction from multiple images and feature extraction. It uses an object-centered representation that is optimized to conform to the surface shape. It also extracts typical features such as crest lines and uses them to guide the optimization. We present results using aerial images and terrain data.

Existing methods extract facial expression parameters from captured expressions data in two steps. First, head absolute orientation is acquired, the captured expression is then transferred from world coordinates to local coordinates. Second, expression parameters are extracted from local coordinate data. However, above methods results to severe error accumulation. In the second step, the error ...

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...