With the semantic web, data becomes machine-readable and ontologies define the data. Ontologies in any domain are heterogeneous due to rapid increase in ontology development and differences in views of developers. Agents can fully understand the data only if the correspondences between ontologies are known. Various ontology alignment systems have been developed to automatically discover such co...

Steganography is an emerging area which is used for secured data transmission over any public media.Steganography is a process that involves hiding a message in an appropriate carrier like image or audio. It is of Greek origin and means "covered or hidden writing". The carrier can be sent to a receiver without any one except the authenticated receiver knowing the existence of this information. ...

This paper proposes a new approach of cooling system for home. The main advantages of this cooling system are it consumes very low power, no emission of harmful gas and support for health. The basic principle of the system is free cooling is taking place when the external ambient air entropy is less than the indoor air enthalpy and the cool external air is transferred to the building room direc...

In this research work we have developed a semi-deterministic algorithm and a scoring system that takes advantage of the Latent Semantic indexing scoring system for crawling web pages that belong to particular domain or is specific to the topic .The proposed algorithm calculates a preference factor in addition to the LSI score to determine which web page needs to preferred for crawling by the mu...

The performance of full-featured ray tracers has historically been limited by the hardware’s floating point computational power. However, next generation multi-threaded multi-core architectures promise to provide sufficient CPU power to support real time frame rates. In such systems, the emerging problem will be limited memory system performance in terms of both on-chip cache and DRAM-to-cache ...

System combination or fusion is a popular, successful and sometimes straightforward means of improving performance in many fields of statistical pattern classification, including speech and speaker recognition. Whilst there is significant work in the literature which aims to improve speaker diarization performance by combining multiple feature streams, there is little work which aims to combine...

One of the main applications of pattern recognition is the use of video or imaging cameras in order to detect and recognize the vehicle license plate numbers. This is important mainly for access, traffic surveillance and law enforcement. Several systems are implemented and working in situ with more or less precision. These systems are based on the use of a feature set extracted from the best vi...

Data mining is extraction or mining the knowledge from large amount of data. There are many data mining methods used for recommendation system. Which are classification, clustering and association rule discovery. Real life data needs to be pre-processed, it means data cleaning, filtering and transformation is performed in order to be used by machine learning techniques in the analysis step . Co...

Due to many classical identification methods cannot be directly used for closed-loop control system, an improved identification method is proposed to simultaneously identify model parameters and the structure. The improved identification method used the genetic algorithm to estimate the initial search scope for the PSO algorithm, and then used the search result as the initial value of the Rosen...

An improved illumination system is proposed for creating a temporally coherent and spatially incoherent extended source to be used for spatial coherence control and reconstruction of a coherent hologram. Taking into account the fact that a rotating ground glass does not behave as an ideal Lambertian diffuser, the new illumination system tailors the directivity of the scattered lights to direct ...