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This paper presents a new adaptive Cuckoo search (ACS) algorithm based on the Cuckoo search (CS) for optimization. The main thrust is to decide the step size adaptively from its fitness value without using the Levy distribution. The other idea is to enhance the performance from the point of time and global minima. The performance of ACS against standard benchmark function show that the proposed algorithm...
A new method for fuzzy categorization of cursive handwritten text has been addressed in the present work. This is based on input text clustering and subsequent learning of weighted attributes in each subject cluster. The system first employs a new algorithm to detect the letter boundary in each cursive word in the textual sentences. A Modified Optimal Clustering Algorithm (MOCA) and Back Propagation...
With the evolution of time the gene composition of species have changed a lot. Consequently it has mutated to generate new diseases and traits. In order to identify genes or coding sections of a DNA sequence it is imperative to find out the promoter regions or the conserved regions of the DNA code first. But the main problem stands that the databases for these information are quite messy and needs...
Cochlear nerve deficiency (CND) is one of the primary causes of congenital hearing loss experienced by the new-born babies. The objective of this study was to assess the benefit of new diffusion kurtosis method in evaluating neuronal integrity of the cochlear nerve in order to assess cochlear nerve deficiency. In this study, the fourth-order kurtosis tensor has been estimated using the kurtosis model...
A new and robust hybrid model is presented here for the purpose of forecasting currency exchange rate. Initially forecasts are obtained from three different models: linear-trend model, autoregressive moving average model as well as from artificial neural network. Because of its non-linear features, results obtained from artificial neural network outperform rest of the two linear models. With the goal...
The opinion of other people is often a major factor influencing our decisions. For a consumer it affects purchase decisions and for a producer or a service provider it helps in making business decisions. Companies spend a lot of money and time on surveys for gathering the public opinion on products and services. Now-a-days the web has become a hotspot for finding user opinions on almost anything under...
In this paper, we have discussed the development of a complete solution for identification of Voice of Customer (VOC) at the mobile domain. We have defined 27 possible aspects and 3 possible sentiments in this domain. The task is to identify the aspects a specific reviewer is talking about and the sentiments he conveys. The words (terms) and the types (tags) of aspects are identified using a statistical...
Learning patterns from spatio-temporal data streams is an important problem within Artificial Intelligence. Knowledge is important for recognition of patterns. Representation of large and diverse knowledge requires formal basis. Description Logics (DLs) constitute a family of knowledge representation formalism which provide object-oriented representation with formal semantics. Qualitative spatial...
A novel technique for miniaturization of microstrip patch antenna is proposed for Portable and multifunctional Communication systems. Our proposed design consists of fractal patch, H-Shape slot on fractal patch with first iteration and combination of L-Shape and U-Shape slots on the Ground plane. In this way we get smaller size antenna which is smaller than the conventional antenna. The most interesting...
Microstrip Antenna (MSA) found widespread applications in satellite communications, wireless and microwave systems, direct broadcast systems; due to their reduced cost and compact-planar structure. Differential Evolution (DE) algorithm is a recent evolutionary computing technique. In this paper, we have implemented DE algorithm to optimize the resonant frequencies of the inset line fed rectangular...
In this paper, we optimize probability of detection and probability of false alarm in cognitive radio network to minimize probability of error of a particular SU in a centralized cognitive radio network using Genetic algorithm (GA). Our objective is to minimize probability of error and find out optimum values of probability of occupancy detection or probability of detection and probability of false...
In this paper, we present a novel contention based cross-layer synchronous MAC protocol, CROP-MAC, to reduce the end-to-end transmission delay and energy consumption by optimizing the pipelined flow of data packets in wireless sensor networks. CROP-MAC optimizes pipelined flow with the help of staggered sleep/wake scheduling, efficient synchronization and appropriate use of routing layer information...
Capacity is one of the significant factors in determining the performance of any cellular system. However, the capacity is limited by the interference. In cellular systems, the major source of interference is the Co-Channel Interference(CCI). In this paper, an analytical method is proposed to evaluate the erlang capacity of 3G WCDMA systems under CCI and the performance analysis with the use of adaptive...
Detection of spectrum holes in Cognitive Radio Networks (CRNs) is possible using theory of compressive sensing (CS). At the same time, these unlicensed Cognitive secondary users (SUs) must reliably detect the presence of licensed users or owners of spectrum holes to avoid interference. Precise localization of the transmitting nodes is a complicated but important problem for operation of Cognitive...
Vernier principle based optical double racetrack resonator (ODRR) with its constituent material as Silicon-on-insulator (SOI) having effective refractive index as 1.71 has been utilized for obtaining optical filter having wider free spectral range (FSR). Here delay line signal processing technique in Z-domain and Mason's gain formula are being used for analyzing the racetrack resonator. A free spectral...
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