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Thiyagarajan, R.
- Wavelet Based Face Recognition Using Statistical Modeling
Abstract Views :199 |
PDF Views:3
Authors
Affiliations
1 Department of Instrumentation Engineering, Annamalai University, Annamalai Nagar, IN
1 Department of Instrumentation Engineering, Annamalai University, Annamalai Nagar, IN
Source
Digital Image Processing, Vol 2, No 8 (2010), Pagination: 250-255Abstract
Face recognition is one of the challenging applications of image processing. Robust face recognition algorithm should posses the ability to recognize identity despite many variations in pose, lighting and appearance. Nowadays, Principal Component Analysis (PCA) has been widely adopted as the potential face recognition algorithm. However, it has limitations like poor discriminatory power and large computational load. In view of these limitations, this paper proposes a new approach in using PCA on wavelet sub bands. In the proposed method, wavelet transform is used to decompose an image into different frequency sub bands, and a mid-range frequency sub band is used for PCA representation. In comparison with the conventional use of PCA, the proposed method gives better recognition rate and discriminatory power. Further, the proposed method reduces the computational load significantly even when the image database is large. This paper details the design and implementation of the proposed method, and presents encouraging experimental results with standard Face Database.Keywords
Human Face Recognition, Principal Component Analysis, Sub Band, Wavelet Transform.
- A Phenomenal Measurement Used for Congregation of Informations
Abstract Views :183 |
PDF Views:2
Authors
Affiliations
1 Kathir College of Engineering, Coimbatore, Tamilnadu, IN
1 Kathir College of Engineering, Coimbatore, Tamilnadu, IN
Source
Data Mining and Knowledge Engineering, Vol 6, No 6 (2014), Pagination: 269-272Abstract
Data mining technology is used for identifying and extracting the patterns from large volume of data. The technology is mainly used for extracting the unknown patterns for real time, financial and business applications. In data mining, the conventional clustering algorithms are used for grouping the data sets. There are number of algorithms which are used to solve this problem. Fuzzy clustering methods have the potential to manage such situations efficiently. In this paper, we propose a k-means fuzzy clustering method which is more efficient in handling outlier points and has been considered as useful means for identifying patterns and trends of large volume of data. It is a computational intelligence discipline which has emerged as a valuable tool for analyzing the data, discovery of knowledge and decision making. The unprocessed unlabeled data from the large volume of dataset can be categorized initially in an unsupervised fashion by using cluster analysis i.e. clustering the assignment of a set of remarks into clusters so that remarks in the same cluster may be in some sense be treated as similar. The result of the clustering process and efficiency of its domain application are generally resolute through algorithms.Keywords
Clustering, Outlier Points, Knowledge Discovery, K-Means, Time Complexity.- An Evaluation under Concealment of Duplication Entities in XML Documents
Abstract Views :223 |
PDF Views:2
Authors
Affiliations
1 Kathir College of Engineering, Coimbatore, Tamilnadu, IN
1 Kathir College of Engineering, Coimbatore, Tamilnadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 6, No 6 (2014), Pagination: 224-228Abstract
Detecting duplicates is a significant of data cleaning; the mission is to recognize multiple representations of a same real-world data or business data and necessary to improve the value of data. Number of approaches both for relational and XML data are exist. As XML is popularly used for data exchange and data publishing on the Web, algorithms to detect duplicates in XML documents are required. XML is a language used for publish data on web so the possibility of error and noise will occur. Hence, the data should be cleaned, which requires solutions for fuzzy duplicate detection in XML. The hierarchical and semi-structured nature of XML strongly differs from the flat and structured relational model, which has received the main attention in duplicate detection so far. We consider the challenges of detecting duplicates in XML to develop valuable, well-organized solutions to the problem. We present a comparison of algorithms, which are used to perform duplicate detection effectively for all kinds of XML objects, given dependencies between different XML elements.
Keywords
Revelation of Duplication, Data Cleaning, XML Data, Similar Objects.- Design and Development of a Tractor Mounted Hydraulic Operated Ladder
Abstract Views :254 |
PDF Views:1
Authors
Affiliations
1 Regional Research Station (T.N.A.U.), Paiyur (T.N.), IN
2 Agricultural Machinery Research Centre, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
1 Regional Research Station (T.N.A.U.), Paiyur (T.N.), IN
2 Agricultural Machinery Research Centre, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
Source
International Journal of Agricultural Engineering, Vol 11, No 1 (2018), Pagination: 1-12Abstract
A tractor-mounted hydraulic operated ladder was designed and developed to reduce the harvesting/pruning cost, increase the harvesting/pruning efficiency and enhance the overall productivity of mango orchards. The design and drawing of hydraulic ladder was made and theoretical analysis of the tractor mounted hydraulic operated ladder was carried out by finite element method, using solid works software for finding the stress and stability of the hydraulic ladder and stress under static load for the hydraulic ladder. It was observed that the variations in the resultant forces are minimum for different heights (6, 8 10 m), different angle of rotation from 0-180° at an interval of 45 and different varying loads 75, 150, 225 and 300 kg, respectively. It is considered to be in a state of stability when no sign of overturning is evident with the hydraulic ladder in operation. The maximum stress observed in the hydraulic ladder for, 8 m and 10 m height with different loads and different angle of rotation is 96.64 N/mm2 which is less than the yielding stress which is 220.59 N/mm2. The developed system is attached to the rear of a minimum 45 hp agricultural tractor. System’s power source is the tractor hydraulic system. The hydraulic ladder has the capability to lift a service worker and the required tools to the crown zone as high as 10 meters. The hydraulic ladder consists of a stabilizing system (four cylinders) on both side of the trailer for supporting, stability and safety for the operators at the time of operation.Keywords
Hydraulic Ladder, Design, Stability, Tractor Mounted, Stress, Stabilizing System.References
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