A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Bhavani, G.
- Ontology Based Effective Semantic Information Retrieval for Big Data
Authors
1 Department of Computer Science and Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, IN
Source
Data Mining and Knowledge Engineering, Vol 8, No 4 (2016), Pagination: 115-119Abstract
A huge amount of data stored on the Internet will be useful and helpful only if it is accessed as information, not as pure data. Nowadays Big data overcomes several issues such as searching, analysing, sharing, storage, transfer, visualization and querying. Among these issues, semantic retrieval is a huge issue. In order to avoid these problems, Hadoop Distributed File System (HDFS) is proposed. HDFS performs semantic analysis over the volume of documents (Big data) to find the best matched source document from the collected set of source documents for the same virtual document. In the hadoop file system, the semantic analysis is done using Dual Walk based Ranking model for providing best matched documents and the resulting documents are filtered by making use of Top K algorithm based on the frequency of the entities in the source document. But, the existing system still has issues with the ontological indexing concept and hence the accuracy of semantic information retrieval is reduced. In order to overcome this ontological indexing concept is focused to retrieve highly relevant and semantic information. Ontology based information retrieval increases the most relevant information by filtering the unrelated terms in the documents. The documents are clustered based on the Ontology and the input query is examined for semantics and expanded using domain Ontology. Thus the accuracy of the semantic information is increased and searching complexity is reduced significantly. From the experimental result, the conclusion decides that the proposed system is better than the existing system.Keywords
Big Data, HDFS, Information Retrieval, Ontology.- Enhancing Technique for Arial Images Using Wavelet
Authors
1 Dept of ECE (Sub branch)-Digital Systems and Computer Electronics, Sheriguda Village, Ibrahimpatnam, RR-Dist, Andra Pradesh, IN
2 Sri Indu Collage of Engineering, IN
Source
Digital Image Processing, Vol 3, No 14 (2011), Pagination: 911-915Abstract
An *arial image is the taking of photographs of the ground from an elevated position. The term usually refers to images in which the camera is not supported by a ground-based structure. Cameras may be hand held or mounted, and photographs may be taken by a photographer, triggered remotely or triggered automatically. Platforms for aerial photography include fixed-wing aircraft, helicopters, balloons, blimps and dirigibles, rockets, kites, poles, parachutes, vehicle mounted poles. Aerial photography should not be confused with Air-to-Air Photography, when aircraft serve both as a photo platform and subject.Recently we proposed a wavelet-based dynamic range compression algorithm to improve the visual quality of digital images captured in the high dynamic range scenes with non uniform lighting conditions. Image enhancement algorithm which provides dynamic range compression preserving the local contrast and tonal rendition is a very good candidate in aerial imagery applications such as image interpretation for defense and security tasks. This algorithm can further be applied to video streaming for aviation safety. In this project the latest version of the proposed algorithm which is able to enhance aerial images so that the enhanced images are better then direct human observation, is presented. The results obtained by applying the algorithm to numerous aerial images show strong robustness and high image quality.Keywords
Aerial Imagery, Wavelet based Arthonormal Decomposition, Quality Enhancement.- Forsus Appliance – A Review
Authors
1 Saveetha Dental College, Chennai, IN
2 Department of Orthodontics, Saveetha Dental College and Hospital, Chennai, IN
Source
Research Journal of Pharmacy and Technology, Vol 10, No 5 (2017), Pagination: 1528-1530Abstract
AIM: To review the component, working ,advantage, disadvantage and treatment effects of Forsus appliance
OBJECTIVES: To give a complete guide on component, working ,advantage, disadvantage and treatment effects of Forsus appliance. BACKGROUND: Forsus appliance are often used for the correction of Class II skeletal malocclusion who are at their growth. Forsus appliance is the most widely used rigid fixed functional appliance . It is used along with conventional fixed appliance and which cannot be removed by the patient, thus eliminating the need for patient compliance. REASON : A review on Forsus appliance will create awareness to the orthodontist about advantages, disadvantages and treatment effects of Forsus appliance.
Keywords
Forsus Appliance, Malocclusion, Class 2, Fixed Appliance.- Evaluation of Urdbean Germplasm for Resistance to Leaf Crinkle Disease
Authors
1 Department of Plant Pathology, Agricultural College, Bapatla (A.P.), IN
Source
International Journal of Plant Sciences, Vol 13, No 1 (2018), Pagination: 118-123Abstract
A screening trial was conducted during Kharif 2014 under field conditions by infector test row method at Regional Agricultural Research Station (RARS), Lam, Guntur, Andhra Pradesh to determine the reaction of 72 urdbean genotypes including check (LBG 623) against the urdbean leaf crinkle disease caused by Urdbean leaf crinkle virus (ULCV). Among 72 genotypes tested, 46 genotypes displayed resistant reaction, two genotypes (DKU-6 and DKU-99) displayed moderately resistant reaction and only one genotype viz., LBG 623 displayed susceptible reaction to ULCV and rest of the 23 genotypes were disease free.Keywords
ULCV, Genotypes, Highly Resistant, Resistant, Susceptible.References
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