International journal of engineering research and technology, 2018
The process of biometrics and manual attendance tracking is one of the highly regarded and resear... more The process of biometrics and manual attendance tracking is one of the highly regarded and researched for modifications and improvement. The long and tediousness of the manual attendance calls for its modification to ease the entire process. As a result, we have proposed a smart geo-location based real-time attendance tracking system which is implemented on an android platform. Any organization has its specific location, which is fixed on the GPS. The staff’s location is the key to the attendance management in our paper. For realtime tracking of the staff, RFID technology will be used. Unique ID is provided to each staff member who will be scanned by the RFID reader thus giving the actual time and location of the employee. In this paper, we have proposed a unique integration of GPS and RFID technology for a smooth and precise attendance management system. Keywords—GPS; RFID; Attendance Management System; Advanced Web Application Systems.
International journal of engineering research and technology, 2018
While data containing any type of information is getting ubiquitous, proper processing of such da... more While data containing any type of information is getting ubiquitous, proper processing of such data is very much obliged. To classify spatial data, various clustering algorithms have been invented. DBSCAN (Density Based Spatial Clustering of Application with Noise) is one of the consummate clustering algorithm with respect to discovery of arbitrarily shaped cluster in a spatial datasets. Due to its flexibility and tremendous research potential, DBSCAN algorithm is one of the most cited in scholarly literature. Considering the fact that most researchers tried to experiment and evaluate the algorithm, certain modifications of DBSCAN were made in order to have more efficient outcomes or to reduce time complexities. This paper discusses such modified algorithms and how they surpass the original DBSCAN in certain ways. Thorough analysis of each algorithm is mentioned and their critical evaluation is done accordingly. These algorithms are then comparatively evaluated with regards to various parameters.
International Journal of Engineering Trends and Technology, 2014
Sentiments are expressions of one's words in a sentence. Hence understanding the meaning of text ... more Sentiments are expressions of one's words in a sentence. Hence understanding the meaning of text in the sentence is of utmost importance to people of various fields like customer reviews in companies, movie reviews in movies, etc. It may involve huge text data to analyze and it becomes totally unviable for manually understanding the meaning of sentences. Classifier algorithms should be used to classify the various meaning of the sentences. By using pre-defined data to train our classifier and three different algorithms namely Naive Bayes, Support Vector Machines, Decision Trees, we can simplify the task of text classification. Using relevant results and examples we will prove that SVM is one of the better algorithms in providing higher accuracy over the other two algorithms i.e. Naive Bayes and Decision Tree.
International journal of engineering research and technology, 2018
The process of biometrics and manual attendance tracking is one of the highly regarded and resear... more The process of biometrics and manual attendance tracking is one of the highly regarded and researched for modifications and improvement. The long and tediousness of the manual attendance calls for its modification to ease the entire process. As a result, we have proposed a smart geo-location based real-time attendance tracking system which is implemented on an android platform. Any organization has its specific location, which is fixed on the GPS. The staff’s location is the key to the attendance management in our paper. For realtime tracking of the staff, RFID technology will be used. Unique ID is provided to each staff member who will be scanned by the RFID reader thus giving the actual time and location of the employee. In this paper, we have proposed a unique integration of GPS and RFID technology for a smooth and precise attendance management system. Keywords—GPS; RFID; Attendance Management System; Advanced Web Application Systems.
International journal of engineering research and technology, 2018
While data containing any type of information is getting ubiquitous, proper processing of such da... more While data containing any type of information is getting ubiquitous, proper processing of such data is very much obliged. To classify spatial data, various clustering algorithms have been invented. DBSCAN (Density Based Spatial Clustering of Application with Noise) is one of the consummate clustering algorithm with respect to discovery of arbitrarily shaped cluster in a spatial datasets. Due to its flexibility and tremendous research potential, DBSCAN algorithm is one of the most cited in scholarly literature. Considering the fact that most researchers tried to experiment and evaluate the algorithm, certain modifications of DBSCAN were made in order to have more efficient outcomes or to reduce time complexities. This paper discusses such modified algorithms and how they surpass the original DBSCAN in certain ways. Thorough analysis of each algorithm is mentioned and their critical evaluation is done accordingly. These algorithms are then comparatively evaluated with regards to various parameters.
International Journal of Engineering Trends and Technology, 2014
Sentiments are expressions of one's words in a sentence. Hence understanding the meaning of text ... more Sentiments are expressions of one's words in a sentence. Hence understanding the meaning of text in the sentence is of utmost importance to people of various fields like customer reviews in companies, movie reviews in movies, etc. It may involve huge text data to analyze and it becomes totally unviable for manually understanding the meaning of sentences. Classifier algorithms should be used to classify the various meaning of the sentences. By using pre-defined data to train our classifier and three different algorithms namely Naive Bayes, Support Vector Machines, Decision Trees, we can simplify the task of text classification. Using relevant results and examples we will prove that SVM is one of the better algorithms in providing higher accuracy over the other two algorithms i.e. Naive Bayes and Decision Tree.
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