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
Dhakulkar, Bhagyashree
- Document Annotation for Effective Structured Data Information Retrieval
Authors
1 Department of Computer Engineering, Savitribai Phule Pune University, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 8, No 3 (2016), Pagination: 98-103Abstract
Online data sharing applications provide a way to share information between users. There are many application domains in which users create and share the textual information about their products, services. This textual information contains more structured information merged into unstructured information. A User who wants to retrieve this structured, shared information, uses information retrieval algorithms which are inaccurate and expensive when text does not contain any example of targeted information. This data annotation is very important to facilitate finding subsequent information from shared data. In this paper, a framework is represented through which user can insert metadata during insertion time, so that identifying the data will be easy using a novel algorithm is presented that identify the metadata that really exist in documents by using content and query value and probabilistic method computation. Additionally, devise propose algorithms that mapping attribute-value to manually generated schemas for product data. Finally touch of collaborative filtering is given using which user gets recent or more related information about any event.Keywords
Attribute Suggestion, Collaborative Filtering, Document Annotation, Mapping Attribute-Value.- Smart Attendance and Attention Measuring System for Classroom
Authors
1 Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 12, No 3 (2020), Pagination: 55-60Abstract
As technology advances, it makes life easy and straightforward by solving many of the real-life problems which are faced by people in their daily life. This also applies to the education system, which has made drastic improvements because of the use of new and advanced technology. But despite the advancement in technology, there are a large number of institutes that follow the traditional approach in marking the attendance as well as monitoring the classroom. Using a conventional method can cause intentional or unintentional mistakes and also wastage of the valuable time that can be utilized in the practice of teaching. Recent studies show that the behavior of the students in the classroom affects their results tremendously. Using the interaction between students and teachers in the ongoing lecture, student's attention and the understanding level can be estimated. Better interaction in the class results in an improvement in the performance of the student in academics. The main goal of this paper is to present a computer vision system that can help in monitoring the classroom and marking the attendance autonomously.