International Journal of Innovative Technology and Exploring Engineering, 2019
Chatbot is a program which provides human conversation using Artificial Intelligence (AI). Chatbo... more Chatbot is a program which provides human conversation using Artificial Intelligence (AI). Chatbots are designed to work as VIRTUAL ASSISTANTS (VA). They themselves provide a platform for the promotions of the Products and Services online. All Higher Educational Institutes provide the complete information through their internet sites for students, which admits the use of social nets such as Facebook, WhatsApp, and College websites. Total-in-All, in any website, searching functionality is required to search for any information and it includes Social Media Applications like Facebook and WhatsApp regular response are utilized. Therefore, Chatbot is an effective auto-response system, and also an instant messaging platform. In this paper, AICMS an AI-Based CollegeBot management system for professional Engineering college system provide the auto-response to student queries about the college basic information, class timetables, examination schedules related to academics. Many Queries about...
In today’s digital world, data protection is extremely important. Every company’s data is a valua... more In today’s digital world, data protection is extremely important. Every company’s data is a valuable asset, so it’s important to ensure that it's secured from outside threats. Information security is not only an effective but also a necessary element to protect data from unauthorized access. The confidentiality of any communication system is strengthening with the help of random number generators along with some analog circuitry. This type of analog models demands more power and area. So analog circuit-based hardware Random Number Generators (RNG) are least preferred over digital RNGs. To improve the security every industry depends on the one-time password (OTP). Which gives the security but generation of the OTP is very easy. Random number generator is used for the generation of OTP. Similarly, hacking such OTP is easier than creating them. This paper introduces the Anti-Aging controller TRNG, a highly stable high-performance random number generator Anti-Aging Cryptographically Secured True Random Number Generator (AACTRNG). Implementation of this work can be done by using TANNER EDA Tools and ModelSim-Altera 6.4a (Quartus-II 9.0) used for the simulation to retrieve random numbers.
image searching is a necessity. Content-Based Image Retrieval (CBIR) is an approach for image ret... more image searching is a necessity. Content-Based Image Retrieval (CBIR) is an approach for image retrieval. With User interaction included in CBIR with Relevance Feedback (RF) techniques, the results are obtained by giving more number of iterative feedbacks for large databases is not an efficient method for realtime applications. So, we propose a new approach which converges rapidly and can aptly be called as Navigation Pattern-Based Relevance Feedback (NPRF) with User-based interaction mode. We combined NPRF with RF techniques with three concepts viz., query Re-weighting (QR), Query Expansion (QEX) and Query Point Movement (QPM). By using, these three techniques efficient results are obtained by giving a small number of feedbacks. The efficiency of the proposed method with results is proved by calculating Precision, Recall and Evaluation measures.
Semantic based Image retrieval is an emerging research area and is currently the mainstay in vari... more Semantic based Image retrieval is an emerging research area and is currently the mainstay in variety of applications or domains. In recent times, there exists a lot of gap between the high level semantics and low level features. The process of Features extraction is Application-specific or options are limited. In this paper, we propose a new Modified Shape Descriptor (MSD) feature extraction technique which is used as descriptive feature to discriminate Objects in an image database. In Object recognition after initial Pre-processing, feature extraction is the next crucial step which determines the efficiency of the technique or method. In our approach, a test image is taken from the database, which is then divided into 8x8 Blocks each; shape structure is detected using edge detection technique with Threshold method to generate the shape feature vector. Then, texton-based texture, color features are extracted using the existing Multi-texton Histogram (MTH) method. To form the final d...
A new method using a highly efficient filter algorithm for the restoration of images that are ver... more A new method using a highly efficient filter algorithm for the restoration of images that are very highly corrupted by high density salt and pepper noise is proposed in this paper. The proposed method restores the image by processing the values of the pixels having 0 or 255 and copying the processed result in new image’s corresponding pixel. Initially the new resulting image is to be assigned with noisy image. When all the pixel values in the selected window are 0’s and 255’s, the pixel value of the new image is replaced by the median of the pixel values that are processed before the present pixel gets processed. The proposed algorithm provides much better results than the Median Filter (MF), Modified Decision Based Unsymmetric Trimmed Median Filter (MDBUTMF) which shows better results than Decision Based Algorithm (DBA), Modified Decision Based Algorithm (MDBA) and Progressive Switched Median Filter (PSMF).The Proposed method of noise removal is tested against color and gray images...
Received Aug 2, 2019 Revised May 2, 2020 Accepted May 17, 2020 Twitter Sentiment Analysis is one ... more Received Aug 2, 2019 Revised May 2, 2020 Accepted May 17, 2020 Twitter Sentiment Analysis is one of the leading research fields nowadays. Most of the researchers have contributed to the research in twitter sentiment analysis in English tweets, but few researchers have focused on the multilingual twitter sentiment analysis. Still, some more challenges are present and not yet addressed in the domain of multilingual twitter sentiment analysis (MLTSA). Research is highly warranted in these unexplored areas. This study presents the implementation of sentiment analysis in multilingual twitter data and improves the data classification up to the adequate level of accuracy. Twitter is the sixth leading social networking site in the world. Active users for twitter in a month are 330 million. People can tweet or retweet in their languages and allow users to use emoji’s, abbreviations, contraction words, misspellings, and shortcut words. The best platform for sentiment analysis is twitter. Mult...
International Journal of Electrical and Computer Engineering (IJECE)
Twitter sentiment analysis is one of the leading research fields. Most of the researchers were co... more Twitter sentiment analysis is one of the leading research fields. Most of the researchers were contributed to twitter sentiment analysis in English tweets, but few researchers focus on the multilingual twitter sentiment analysis. Some challenges are hoping for the research solutions in multilingual twitter sentiment analysis. This study presents the implementation of sentiment analysis in multilingual twitter data and improves the data classification up to the adequate level of accuracy. Twitter is the sixth leading social networking site in the world. Active users for twitter in a month are 330 million. People can tweet or re-tweet in their languages and allow users to use emoji’s, abbreviations, contraction words, miss spellings, and shortcut words. The best platform for sentiment analysis is twitter. Multilingual tweets and data sparsity are the two main challenges. In this paper, the MLTSA algorithm gives the solution for these two challenges. MLTSA algorithm divides into two pa...
International Journal of Advanced Computer Science and Applications, 2013
In Internet, Multimedia and Image Databases image searching is a necessity. Content-Based Image R... more In Internet, Multimedia and Image Databases image searching is a necessity. Content-Based Image Retrieval (CBIR) is an approach for image retrieval. With User interaction included in CBIR with Relevance Feedback (RF) techniques, the results are obtained by giving more number of iterative feedbacks for large databases is not an efficient method for real- time applications. So, we propose a new
International Journal of Innovative Technology and Exploring Engineering, 2019
Chatbot is a program which provides human conversation using Artificial Intelligence (AI). Chatbo... more Chatbot is a program which provides human conversation using Artificial Intelligence (AI). Chatbots are designed to work as VIRTUAL ASSISTANTS (VA). They themselves provide a platform for the promotions of the Products and Services online. All Higher Educational Institutes provide the complete information through their internet sites for students, which admits the use of social nets such as Facebook, WhatsApp, and College websites. Total-in-All, in any website, searching functionality is required to search for any information and it includes Social Media Applications like Facebook and WhatsApp regular response are utilized. Therefore, Chatbot is an effective auto-response system, and also an instant messaging platform. In this paper, AICMS an AI-Based CollegeBot management system for professional Engineering college system provide the auto-response to student queries about the college basic information, class timetables, examination schedules related to academics. Many Queries about...
In today’s digital world, data protection is extremely important. Every company’s data is a valua... more In today’s digital world, data protection is extremely important. Every company’s data is a valuable asset, so it’s important to ensure that it's secured from outside threats. Information security is not only an effective but also a necessary element to protect data from unauthorized access. The confidentiality of any communication system is strengthening with the help of random number generators along with some analog circuitry. This type of analog models demands more power and area. So analog circuit-based hardware Random Number Generators (RNG) are least preferred over digital RNGs. To improve the security every industry depends on the one-time password (OTP). Which gives the security but generation of the OTP is very easy. Random number generator is used for the generation of OTP. Similarly, hacking such OTP is easier than creating them. This paper introduces the Anti-Aging controller TRNG, a highly stable high-performance random number generator Anti-Aging Cryptographically Secured True Random Number Generator (AACTRNG). Implementation of this work can be done by using TANNER EDA Tools and ModelSim-Altera 6.4a (Quartus-II 9.0) used for the simulation to retrieve random numbers.
image searching is a necessity. Content-Based Image Retrieval (CBIR) is an approach for image ret... more image searching is a necessity. Content-Based Image Retrieval (CBIR) is an approach for image retrieval. With User interaction included in CBIR with Relevance Feedback (RF) techniques, the results are obtained by giving more number of iterative feedbacks for large databases is not an efficient method for realtime applications. So, we propose a new approach which converges rapidly and can aptly be called as Navigation Pattern-Based Relevance Feedback (NPRF) with User-based interaction mode. We combined NPRF with RF techniques with three concepts viz., query Re-weighting (QR), Query Expansion (QEX) and Query Point Movement (QPM). By using, these three techniques efficient results are obtained by giving a small number of feedbacks. The efficiency of the proposed method with results is proved by calculating Precision, Recall and Evaluation measures.
Semantic based Image retrieval is an emerging research area and is currently the mainstay in vari... more Semantic based Image retrieval is an emerging research area and is currently the mainstay in variety of applications or domains. In recent times, there exists a lot of gap between the high level semantics and low level features. The process of Features extraction is Application-specific or options are limited. In this paper, we propose a new Modified Shape Descriptor (MSD) feature extraction technique which is used as descriptive feature to discriminate Objects in an image database. In Object recognition after initial Pre-processing, feature extraction is the next crucial step which determines the efficiency of the technique or method. In our approach, a test image is taken from the database, which is then divided into 8x8 Blocks each; shape structure is detected using edge detection technique with Threshold method to generate the shape feature vector. Then, texton-based texture, color features are extracted using the existing Multi-texton Histogram (MTH) method. To form the final d...
A new method using a highly efficient filter algorithm for the restoration of images that are ver... more A new method using a highly efficient filter algorithm for the restoration of images that are very highly corrupted by high density salt and pepper noise is proposed in this paper. The proposed method restores the image by processing the values of the pixels having 0 or 255 and copying the processed result in new image’s corresponding pixel. Initially the new resulting image is to be assigned with noisy image. When all the pixel values in the selected window are 0’s and 255’s, the pixel value of the new image is replaced by the median of the pixel values that are processed before the present pixel gets processed. The proposed algorithm provides much better results than the Median Filter (MF), Modified Decision Based Unsymmetric Trimmed Median Filter (MDBUTMF) which shows better results than Decision Based Algorithm (DBA), Modified Decision Based Algorithm (MDBA) and Progressive Switched Median Filter (PSMF).The Proposed method of noise removal is tested against color and gray images...
Received Aug 2, 2019 Revised May 2, 2020 Accepted May 17, 2020 Twitter Sentiment Analysis is one ... more Received Aug 2, 2019 Revised May 2, 2020 Accepted May 17, 2020 Twitter Sentiment Analysis is one of the leading research fields nowadays. Most of the researchers have contributed to the research in twitter sentiment analysis in English tweets, but few researchers have focused on the multilingual twitter sentiment analysis. Still, some more challenges are present and not yet addressed in the domain of multilingual twitter sentiment analysis (MLTSA). Research is highly warranted in these unexplored areas. This study presents the implementation of sentiment analysis in multilingual twitter data and improves the data classification up to the adequate level of accuracy. Twitter is the sixth leading social networking site in the world. Active users for twitter in a month are 330 million. People can tweet or retweet in their languages and allow users to use emoji’s, abbreviations, contraction words, misspellings, and shortcut words. The best platform for sentiment analysis is twitter. Mult...
International Journal of Electrical and Computer Engineering (IJECE)
Twitter sentiment analysis is one of the leading research fields. Most of the researchers were co... more Twitter sentiment analysis is one of the leading research fields. Most of the researchers were contributed to twitter sentiment analysis in English tweets, but few researchers focus on the multilingual twitter sentiment analysis. Some challenges are hoping for the research solutions in multilingual twitter sentiment analysis. This study presents the implementation of sentiment analysis in multilingual twitter data and improves the data classification up to the adequate level of accuracy. Twitter is the sixth leading social networking site in the world. Active users for twitter in a month are 330 million. People can tweet or re-tweet in their languages and allow users to use emoji’s, abbreviations, contraction words, miss spellings, and shortcut words. The best platform for sentiment analysis is twitter. Multilingual tweets and data sparsity are the two main challenges. In this paper, the MLTSA algorithm gives the solution for these two challenges. MLTSA algorithm divides into two pa...
International Journal of Advanced Computer Science and Applications, 2013
In Internet, Multimedia and Image Databases image searching is a necessity. Content-Based Image R... more In Internet, Multimedia and Image Databases image searching is a necessity. Content-Based Image Retrieval (CBIR) is an approach for image retrieval. With User interaction included in CBIR with Relevance Feedback (RF) techniques, the results are obtained by giving more number of iterative feedbacks for large databases is not an efficient method for real- time applications. So, we propose a new
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