GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures

Chi-square histogram distance is one of the distance measures that can be used to find dissimilarity between two histograms. Motivated by the fact that texture discrimination by human vision system is based on second-order statistics, we make use of histogram of gray-level co-occurrence matrix (GLCM) that is based on second-order statistics and propose a new machine vision algorithm for automatic defect detection on patterned textures. Input defective images are split into several periodic blocks and GLCMs are computed after quantizing the gray levels from 0-255 to 0-63 to keep the size of GLCM compact and to reduce computation time. Dissimilarity matrix derived from chi-square distances of the GLCMs is subjected to hierarchical clustering to automatically identify defective and defect-free blocks. Effectiveness of the proposed method is demonstrated through experiments on defective real-fabric images of 2 major wallpaper groups (pmm and p4m groups).Comment: IJCVR, Vol. 2, No. 4, 2011, pp. 302-31

Cluster Based Optimization of Routing in Distributed Sensor Networks Using Bayesian Networks with Tabu Search

This paper proposes a cluster based optimizat ion of routing in Distributed Sensor Network (DSN) by employing aBayesian network with Tabu search approach. Bayesian Network based approach is used to select efficient clusterheads, as well as construction of Bayesian Networks for the proposed scheme. This approach incorporates energylevel of each node, bandwidth and link efficiency. Simulations have been conducted to compare the performance ofthe proposed approach and LEACH.The optimization of routing is considered as a design issue in DSNs due to lack of energy consumption, delayand maximum time required for data transmission between source nodes (cluster heads) to sink node. In this work,optimization of routing takes place through cluster head nodes by using Tabu search. This meta - heuristic techniqueis used to optimize the routing in the DSN environment that guides a local search procedure to explore the solutionspace beyond local optimality. The objective of the proposed work is to improve the performance of network interms of energy consumption, throughput, packet delivery ratio, and time efficiency of optimizat ion of routing. Theresults shows that the proposed approach perform better than LEACH protocol and proposed protocol utilizesminimum energy and latency for cluster formation, thereby reducing the overhead of the protocol

Genetic diversity analysis in Gladiolus genotypes (Gladiolus hybridus Hort)

In the present investigation, thirty gladiolus (Gladiolus hybridus Hort) genotypes were assessed to know the nature and magnitude of genetic divergence using Mahalanobis D2 statistics. Genetic diversity study indicated that among the 17 characters, most of the flower characters contributed towards diversity. Floret diameter contributed maximum towards genetic divergence followed by number of florets per spike, vase life, spike length and plant height.Thirty genotypes were grouped into 8 clusters and among them, cluster I was the largest with 9 genotypes followed by cluster II having 7 genotypes, and IV cluster 6 and cluster III with 3 genotypes each. Clusters were of V, VII and VIII solitary type means they having only one genotype in their group. Divergence values (D2 value) ranged from zero to 7.97 indicating considerable amount of moderate variability in the material studied. Information generated from the present study would be useful in selection of parents for future breeding programme for flower quality improvement in gladiolus. It is desirable to select genotypes from clusters having high cluster means and also with high flower character like spike length as parents for future recombination breeding programmes

Experimental Studies of UV Irradiation Induced Changes in Optical, Mechanical and Microstructural Properties of PVA/Modified Cellulose Composite

Poly(vinyl alcohol) (PVA)/modified Cellulose composite films with 85:15 wt.% were prepared by solution casting method and subjected to UV irradiation for different intervals of time. The UV irradiation induced modifications in optical, mechanical and morphological properties were studied. The FTIR results confirm the chemical interaction between PVA and Cellulose. The optical absorption also supports the formation of crosslinked network in the polymer composite. The XRD result shows an increase in the amorphousness with increase in UV irradiation time. The Young’s modulus (YM), tensile strength (TS), stiffness and percentage (%) elongation at break (% EB) of the composite films increase with increase in UV irradiation time. The Scanning Electron microscope (SEM)    images    confirm th

Similarity Measures for Automatic Defect Detection on Patterned Textures

Similarity measures are widely used in various applications such as information retrieval, image and object recognition, text retrieval, and web data search. In this paper, we propose similarity-based methods for defect detection on patterned textures using five different similarity measures, viz., Normalized Histogram Intersection Coefficient, Bhattacharyya Coefficient, Pearson Product-moment Correlation Coefficient, Jaccard Coefficient and Cosine-angle Coefficient. Periodic blocks are extracted from each input defective image and similarity matrix is obtained based on the similarity coefficient of histogram of each periodic block with respect to itself and other all periodic blocks. Each similarity matrix is transformed into dissimilarity matrix containing true-distance metrics and Ward’s hierarchical clustering is performed to discern between defective and defect-free blocks. Performance of the proposed method is evaluated for each similarity measure based on precision, recall and accuracy for various real fabric images with defects such as broken end, hole, thin bar, thick bar, netting multiple, knot, and missing pick

Data Aware Routing in Wireless Sensor Networks

The wireless sensor network (WSN) has set of wireless intelligent sensor nodes with high speed network. Nodes are deployed randomly in a surge of unanticipated applications. The routing is one of the most important challenges in WSNs for data transmission over the sensor nodes. The paper proposes the data aware routing in WSNs, which incorporates energy efficient routing of data. The objective of the proposed work is to improve the performance of network in terms of energy consumption and throughput. The simulation results show that the proposed approach perform better in-terms of utilization of minimum energy, efficient for cluster formation, and reduce communication overhead in WSNs

A Comprehensive Survey on Resource Management in Internet of Things, Journal of Telecommunications and Information Technology, 2020, nr 4

Efficient resource management is a challenging task in distributed systems, such as the Internet of Things, fog, edge, and cloud computing. In this work, we present a broad overview of the Internet of Things ecosystem and of the challenges related to managing its resources. We also investigate the need for efficient resource management and the guidelines given/suggested by Standard Development Organizations. Additionally, this paper contains a comprehensive survey of the individual phases of resource management processes, focusing on resource modeling, resource discovery, resource estimation, and resource allocation approaches based on performance parameters or metrics, as well as on architecture types. This paper presents also the architecture of a generic resource management enabler. Furthermore, we present open issues concerning resource management, pointing out the directions of future research related to the Internet of Thing