Dolly Sharma
Chandigarh Engineering College
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Publication
Featured researches published by Dolly Sharma.
Archive | 2018
Baljeet Kaur Nagra; Bharti Chhabra; Dolly Sharma
This paper tells the overall exploration of social recommender systems. All the people who are in participation of his work will become familiar with new featured recommendation system methods, classification of recommender system according to different purpose criteria, common estimated methodologies and possible apps that can employ the different social recommender systems. A recommender system’s main purpose is to provide users with customize online service recommendations to deal the fast growing online information an excessive load of issues and to betterment the users’ connection and its management. Various techniques of different types of recommender system have been produced and various software has been generated since 1995 and various kinds of recommender system software has generated lately for a different sort of apps. Researchers and management trainees recognized that recommender systems give a wide opportunities and challenges for limited sized tweets in the Twitter post, with more lately successful evolution of the recommender systems for real-world applications. The largeness of post on different subjects is enormous to social sites users who can be interested in a few subjects.
Archive | 2018
Amit Verma; Dolly Sharma; Iqbaldeep Kaur; Monisha Kumari
This paper describes the prerequisites of software component retrieval which further explore the information about the algorithms and tools of software component retrieval. These techniques and procedures are mainly used for analyzing the enormous software components and their parameters. There is a need to find enhanced and optimized result using advance technologies of software component analysis. The objectives of the paper are to understand the component retrieval concepts, to get acquainted with software component extraction, to analyze the enormous amount of component and its parameter and to understand the need of software component analysis.
Archive | 2018
Amit Vermal; Iqbaldeep Kaur; Dolly Sharma; Dimple Nagpal
There is a tremendous growth of component retrieval in the field of component-based software engineering, but the lack of interrelations between concepts and interfaces is still an issue. The gap is fulfilled by the ontology so that the best component can be retrieved by providing interrelationships between components. The objectives of this paper are to study various ontologies that are built by human and to find out the process of ontology retrieval. This paper reviews the current tools and techniques for retrieving the component from repository. To attain good results for retrieving the component from repository, the components in the repository should not only be interlinked but also provide interrelationships of the component that can only be done by using ontology.
Archive | 2018
Jaspreet Kaur; Ashima Kalra; Dolly Sharma
Swarm intelligence (SI) approaches are a group of populace-dependent, nature influenced meta-heuristic approaches that are impressed via collective intelligence of homogeneous insects, birds, etc. These algorithms simulate the behaviour of the group of homogeneous biological entities to get a global ideal solution in optimization problems, where classical optimization algorithms may fail. Examples consist of a flock of birds, colonies of bees, colonies of ants, school of fish, etc. This paper presents a comparative study of different swarm intelligence approaches: particles swarm optimization (PSO) algorithm, intelligent water drop (IWD) approach, artificial bee colony (ABC) algorithm and ant colony optimization (ACO) algorithm for the optimization of single-layer neural networks.
Archive | 2018
Rupinder Kaur; Dolly Sharma
Satellite images may be unclear for many reasons. Consequently the important information in the images may not be easily seen. Image enhancement can improve a satellite image that has widespread information, but is not detectable. Image enhancement techniques are used to enhance the quality of the picture to get useful information, and many techniques have been developed to enhance the satellite images. Remote sensing technology has an important role for applications regarding the examination of the Earth. This chapter gives information and techniques useful for satellite image enhancement purposes. The general issues with satellite images are enhancement of gray scale image, noise, artifacts, distortion, resolution, less color information, and high frequency content, among others. Digital image processing is the basic concept distinctly preferred for satellite image processing. Essentially, satellite image processing information could be assembled into three types: (i) restoration, (ii) image rectification, and (iii) extracted data.
Archive | 2018
Rajwant Kaur; Dolly Sharma
Face recognition has many significant applied presentations, like observation and access control. Facial recognition is disturbed through the difficulties of accurate verification face images and conveying them to individuals in a data set. This system is gradually being arranged in an extensive variety of real requests. In this document summary, various methods in all of these classes are provided and several of the difficulties handled by the recognition system are declared. This study prior technique in recognition of face has been a quick fast increasing, stimulating and stimulating field applications in real time. The huge amount of facial recognition procedures has been advanced in the last periods. In face recognition is in holistic advance, a total face object is reserved into an explanation as contribution records into the facial infectious network. Individual of the major instances of general techniques is eigenfaces. Characteristics-based techniques in these approaches basic characteristics such as nose, eye and mouth are initialling of all extract, and their positions are served into a structural classifier.
Archive | 2017
Tanvi Mehta; Anita Gehlot; Dolly Sharma
The Android-based robot can be used for applications such as spy bots, it can also be used for supplying medicines to the patients. This Android-based robot which is driven by the “to and fro” movement of Android phone can also distribute medicines to the suffering patients. The robot is connected to the Android phone through Bluetooth module. In this research, a wireless robot is designed by using serial communication and Bluetooth process for wireless transmission of data and an Android mobile. A Bluetooth module has been interfaced with CPLD device and connected with Android operating system-based mobile. By using this mobile APP transmission of data to CPLD is done and it will receive data by using Bluetooth module and according to the requirement the robot will work. This application in mobile will transmit ASCII of the characters—“W,” “A,” “S,” and “D” to the robot. The robot will receive these characters using Bluetooth module and it will perform the operations—“Forward,” “Backward,” “Left,” and “Right.”
Current Bioinformatics | 2013
Dolly Sharma; Shailendra Singh; Trilok Chand
international conference on signal processing | 2017
Nancy Bansal; Amit Verma; Iqbaldeep Kaur; Dolly Sharma
Recent Patents on Engineering | 2018
Dolly Sharma; Shailendra Singh; Mamta Mittal