Advances in Intelligent Systems and Computing, 2020
As the rate of data generation is growing rapidly which can be from a number of sources. Informat... more As the rate of data generation is growing rapidly which can be from a number of sources. Information collected can be used for and processed for its commercial or business value. Here, one of the characteristics is the significance of data in terms of time. In time-dependent applications, the need for analysis and quick processing is a necessity. Using YOLO (you look only once) method, we have performed recognition of vehicle type in which for each of the objects the model is trained. Here, the dataset used is from cityscapes where 2659 input set images are taken for training purpose and the performance is calculated in terms of accuracy which is 87%. Using the approach detection for different vehicle categories, i.e., car, bus, truck, motorbike is performed. YOLO model works well and does not require any intrusive approach for detection also due to less to no dependency on any other system optimization and reliability is attained.
High Availability is an important component to provide Zero downtime , zero outage coverage for O... more High Availability is an important component to provide Zero downtime , zero outage coverage for Openstack components . it also provides automated failover and switchover . Openstack is a private cloud platform has lack of inbuilt high availability functions this can be implemented by opensource solution by Pacemaker and Corosync software. This paper provided clear concepts of High availability requirements, solution approach , Openstack components , detailed implementation approach using PCS shell and LCMC. It also summarizes various tools to manage pacemaker and Corosync clusters
2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021
Brain tumor detection is a challenging task in medical image processing, and a huge amount of res... more Brain tumor detection is a challenging task in medical image processing, and a huge amount of research is happening in this context. Radiologist sets aside a lengthy timespan for identifying and classify brain disorders. Denoising techniques will lessen the noise present in the image. The precise denoising method can valuable in distinguish brain disorder location, grade, size etc. the feature extraction techniques used to extract the features of the image. These features of the image used efficiently identify the issues.
In today's world, every reader or social media user has different choices/hobbies in terms of... more In today's world, every reader or social media user has different choices/hobbies in terms of reading. For example, if any social media user is searching for a book to read without any specific idea of what s/he wants, s/he wastes a lot of time browsing around on the internet and crawling/trawling through various sites hoping that s/he might get good book. To avoid confusion, the authors are building a recommendation system for every reader/user that helps to recommend a book based on his choices, hobbies, or what s/he had read previously that will be massive help for users instead wasting time on various sites. Data from social media is the powerful fuel that can be used to helps in decision making and building a recommendation engine. Social media data in the different format is biggest challenge for the business to ingest data at the reasonable speed and further process. In social media data, it is difficult to detect and capture data. Real-time recommendation engine for user...
Forensics is an important topic for civil, academics, and software professionals who deal with ve... more Forensics is an important topic for civil, academics, and software professionals who deal with very complex investigations. Today there is increases usage of big data technologies such as hadoop in all sectors like BFSI, oil energy, etc. for analytics. Forensic investigators have required new approaches to how analysis conducted also need to understand how to work with big data solutions/technologies. The number of organizations who implemented big data solutions had spent lots of time for forensic investigation by using of traditional forensic approach. These big data clusters contain critical information that provides information about organization’s strategies and operations. Since hadoop has distributed architecture, in-memory data storage and huge volume of data, forensic on hadoop offers new challenges to investigators. Big data forensic is a new area within forensic which focuses on the forensics of big data systems. Since big data are scalable, high volume of data, which provides practical limitation for forensic investigation by using traditional approaches. Big data Forensic analytics provides new approaches to collect data, for analyzing collected data.
Cloud Computing and Virtualization Technologies in Libraries
Libraries invest millions of dollars in developing and maintaining library applications that are ... more Libraries invest millions of dollars in developing and maintaining library applications that are core to their libraries and help them to improve their competitive advantage through operational excellence of libraries. Continuous changes in the library environment forces the library to innovate and optimize their library process, resulting in continuous changes in the software applications that support the library processes. As a consequence, delivering applications rapidly that are defect free, scalable, and reliable becomes challenging. Testing becomes a critical and vital step in the process – not only in terms of coverage but also in terms of performance, security, and usability. Setting up test environments that closely mirror the production environment can be expensive – in terms of hardware, licenses, people to manage library infrastructure and its application. “Testing as a Service” – a new paradigm of Cloud-based “On Demand” testing service can help libraries to address thi...
Multidisciplinary Approach to Modern Digital Steganography, 2021
This work's primary goal is to secure the transmission of text hidden within the cover image ... more This work's primary goal is to secure the transmission of text hidden within the cover image using steganography over a public network of computers. Steganography is a powerful tool for concealing information within a cover image so that the concealed message remains undetectable. As a result, steganography refers to concealed writing. The secure transmission of information over a public network communication channel using steganography occurs in two stages, the first on the sender side and the second on the receiver side. In the first phase, steganography is normally applied to conceal the encrypted information within the image as a cover. The encrypted data is implanted inside the cover image using an improved least significant bit steganography method. The secret key obtained by the embedding algorithm is shared with the message retrieval algorithm on the receiver side to retrieve the message. Finally, the embedded text message is identified using a hybrid convolution regress...
Advances in Intelligent Systems and Computing, 2020
As the rate of data generation is growing rapidly which can be from a number of sources. Informat... more As the rate of data generation is growing rapidly which can be from a number of sources. Information collected can be used for and processed for its commercial or business value. Here, one of the characteristics is the significance of data in terms of time. In time-dependent applications, the need for analysis and quick processing is a necessity. Using YOLO (you look only once) method, we have performed recognition of vehicle type in which for each of the objects the model is trained. Here, the dataset used is from cityscapes where 2659 input set images are taken for training purpose and the performance is calculated in terms of accuracy which is 87%. Using the approach detection for different vehicle categories, i.e., car, bus, truck, motorbike is performed. YOLO model works well and does not require any intrusive approach for detection also due to less to no dependency on any other system optimization and reliability is attained.
High Availability is an important component to provide Zero downtime , zero outage coverage for O... more High Availability is an important component to provide Zero downtime , zero outage coverage for Openstack components . it also provides automated failover and switchover . Openstack is a private cloud platform has lack of inbuilt high availability functions this can be implemented by opensource solution by Pacemaker and Corosync software. This paper provided clear concepts of High availability requirements, solution approach , Openstack components , detailed implementation approach using PCS shell and LCMC. It also summarizes various tools to manage pacemaker and Corosync clusters
2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021
Brain tumor detection is a challenging task in medical image processing, and a huge amount of res... more Brain tumor detection is a challenging task in medical image processing, and a huge amount of research is happening in this context. Radiologist sets aside a lengthy timespan for identifying and classify brain disorders. Denoising techniques will lessen the noise present in the image. The precise denoising method can valuable in distinguish brain disorder location, grade, size etc. the feature extraction techniques used to extract the features of the image. These features of the image used efficiently identify the issues.
In today's world, every reader or social media user has different choices/hobbies in terms of... more In today's world, every reader or social media user has different choices/hobbies in terms of reading. For example, if any social media user is searching for a book to read without any specific idea of what s/he wants, s/he wastes a lot of time browsing around on the internet and crawling/trawling through various sites hoping that s/he might get good book. To avoid confusion, the authors are building a recommendation system for every reader/user that helps to recommend a book based on his choices, hobbies, or what s/he had read previously that will be massive help for users instead wasting time on various sites. Data from social media is the powerful fuel that can be used to helps in decision making and building a recommendation engine. Social media data in the different format is biggest challenge for the business to ingest data at the reasonable speed and further process. In social media data, it is difficult to detect and capture data. Real-time recommendation engine for user...
Forensics is an important topic for civil, academics, and software professionals who deal with ve... more Forensics is an important topic for civil, academics, and software professionals who deal with very complex investigations. Today there is increases usage of big data technologies such as hadoop in all sectors like BFSI, oil energy, etc. for analytics. Forensic investigators have required new approaches to how analysis conducted also need to understand how to work with big data solutions/technologies. The number of organizations who implemented big data solutions had spent lots of time for forensic investigation by using of traditional forensic approach. These big data clusters contain critical information that provides information about organization’s strategies and operations. Since hadoop has distributed architecture, in-memory data storage and huge volume of data, forensic on hadoop offers new challenges to investigators. Big data forensic is a new area within forensic which focuses on the forensics of big data systems. Since big data are scalable, high volume of data, which provides practical limitation for forensic investigation by using traditional approaches. Big data Forensic analytics provides new approaches to collect data, for analyzing collected data.
Cloud Computing and Virtualization Technologies in Libraries
Libraries invest millions of dollars in developing and maintaining library applications that are ... more Libraries invest millions of dollars in developing and maintaining library applications that are core to their libraries and help them to improve their competitive advantage through operational excellence of libraries. Continuous changes in the library environment forces the library to innovate and optimize their library process, resulting in continuous changes in the software applications that support the library processes. As a consequence, delivering applications rapidly that are defect free, scalable, and reliable becomes challenging. Testing becomes a critical and vital step in the process – not only in terms of coverage but also in terms of performance, security, and usability. Setting up test environments that closely mirror the production environment can be expensive – in terms of hardware, licenses, people to manage library infrastructure and its application. “Testing as a Service” – a new paradigm of Cloud-based “On Demand” testing service can help libraries to address thi...
Multidisciplinary Approach to Modern Digital Steganography, 2021
This work's primary goal is to secure the transmission of text hidden within the cover image ... more This work's primary goal is to secure the transmission of text hidden within the cover image using steganography over a public network of computers. Steganography is a powerful tool for concealing information within a cover image so that the concealed message remains undetectable. As a result, steganography refers to concealed writing. The secure transmission of information over a public network communication channel using steganography occurs in two stages, the first on the sender side and the second on the receiver side. In the first phase, steganography is normally applied to conceal the encrypted information within the image as a cover. The encrypted data is implanted inside the cover image using an improved least significant bit steganography method. The secret key obtained by the embedding algorithm is shared with the message retrieval algorithm on the receiver side to retrieve the message. Finally, the embedded text message is identified using a hybrid convolution regress...
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