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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.
- Document Annotation Using Mapping Attribute Value
Authors
Source
Software Engineering, Vol 8, No 7 (2016), Pagination: 167-171Abstract
Today’s data is rapidly and continuously growing and is not constant in nature. To deal with such kind of extracting data, as it is to annotate data, mapping attribute value is a solution. In Number of organization or company generate and share their textual information of their products, facilities, and services. Such collections of textual data contain a significant amount of structured data, which is hidden in the unstructured text document. Whereas information extraction systems simplify the extraction of structured associations, they are frequently expensive and incorrect, particularly when working on top of text that does not comprise any examples of the targeted structured data. Projected an alternative methodology that simplifies the structured metadata generation by recognizing documents that are possible to contain information of awareness and this data will be beneficial for querying the database. Additionally, we propose an algorithm that mapping attribute-value pair to manually generated schemas for product data.
Keywords
Document Annotation, Adaptive Forms, Collaborative Filtering, Mapping Attribute-Value, Attribute Suggestion.- File Construction and Reconstruction in Cloud Computing
Authors
1 Department of Computer Engineering, Dr. D.Y.Patil School of Engineering and Technology, Charholi (Bk), via Lohgaon, IN
2 Department of Computer Engineering, Dr.D.Y.Patil School of Engineering and Technology, Charholi (Bk), via Lohgaon, IN
Source
Fuzzy Systems, Vol 9, No 1 (2017), Pagination: 16-19Abstract
Now a days cloud computing is a very popular method. Cloud storage means the storage of data online in the cloud. Cloud computing is a model of cloud storage in which data is put in storage on remote servers which is retrieved from the internet. Cloud storage services are very popular. In this survey, two algorithm are studied Ramp Secret Share Algorithm and Chunking Algorithm. Ramp Secret Share Scheme follow the Sharmir polynomial function. In secret share scheme there is distribution to no of server and reconstruction again. Chunking algorithm splits the big data into small part or chunks. Chunking algorithm are very important to Deduplication technique. Chunking algorithm is used to increase efficiency of data deduplication ratio and data deduplication throughput.
Keywords
Data Deduplication, Storage System, Fixed-Size Chunking, Variable-Size Chunking.- Survey On E-Voting using Block Chain Technology
Authors
1 Computer Science Department, Dr DY Patil School of Engineering and Technology, IN
Source
Software Engineering, Vol 11, No 1 (2019), Pagination: 6-11Abstract
The inflaming use of current digital technology has transformed the life of people. Unlike the current electoral system, there are various applications as such. Security is an outmost priority which is predominant in the election with the offline system. The existing electoral system still uses a Centralized system in which an organization has full access grant. The problems encountered are mostly due to outdated electoral systems with the organization that has total control over the system as well as the database. Database tampering is a major reason which causes huge problems in the system. Our answer to this problem is Block Chain Technology. Block chain Technology is an ideal solution as it holds a decentralized system and the database is owned by various users. Examples like Bit coin can be taken as a good example of Block Chain Technology application as it uses a decentralized bank system. By applying the concept of block chain in the existing electoral system, it can reduce the deceitful sources of database action. Our project aims to apply voting results using block chain algorithms from all place of election. Unlike Bitcoin, this process based on a pre-set turn on the system for each node in the built of block chain.
Keywords
Block Chain, Crypto Currency, E-Voting, Decentralized, Consensus, Marklee Tree.References
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- 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.
Keywords
Attendance, Attentiveness, Face Detection, Face Recognition.- IoT Based Smart Home Automation System
Authors
1 Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, IN
Source
Automation and Autonomous Systems, Vol 12, No 3 (2020), Pagination: 49-55Abstract
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. Various types of technologies are used to improve the life of humans. Hence, this paper has used one of the technologies to ease the life of humans i.e. IoT. This paper represents IoT (Internet of Things) for the smart home automation system. There are many proposed systems which make the home easy to live in. But this paper tells about the newer advanced system. This paper tells the usage of motion detection technique to perform light on/off, MQ2 sensor for gas detection, machine learning for facial expression detection, and motor for facade opening/closing, motor for room rotation and last the website “ThingsBoard” to collect the whole data at one place. The main goal of this paper is to provide full security with innovation at home.
Keywords
Raspberry Pi, Relays, Sensor, Motor, MCP3208 IC, Face Detection, Face Recognition, ThingsBoard, Android.- Stock Price Prediction Using DCF and Machine Learning
Authors
1 Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, IN
Source
Data Mining and Knowledge Engineering, Vol 12, No 5 (2020), Pagination: 85-90Abstract
Understanding the long-term outlook on a particular stock is very important for investors to see the growth of their investment. This paper will give the idea about how to predict the fair price of the shares using DCF method and understanding short term outlook of that investment. The various technologies used in the paper are free cash flow, the terminal value, net present value, ARIMA, Linear Regression. Traditional techniques lack in covering long term stock price movements and so new approaches have been developed for analysis of stock price variations.