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Topic Review
Biography
Topic Review
Text Line Segmentation from Malayalam Documents
After the pandemic situation created by the novel coronavirus, it has become a necessity to encode the local language, conventionally written in pen and paper, in an electronic format. Optical character recognition (OCR) systems convert handwritten documents to a computer-editable digital form. Optical character recognition (OCR) converts pdf files, scanned documents, images containing text and printed and handwritten documents into editable electronic documents. OCR can be implemented for printed character recognition and handwritten character recognition. The latter is further categorized into online and offline recognition systems. Optical Character Recognition system for Malayalam handwritten documents has become an open research area. A major hindrance for this research is the unavailability of a benchmark database. Therefore, a new database of 402 Malayalam handwritten document images and ground truth images of 7535 text lines is developed for the implementation of the proposed technique. This paper proposes a technique for extracting text lines from handwritten documents in Malayalam language, specifically based on the handwriting of the writer. Text lines are extracted based on horizontal and vertical projection values, size of the handwritten characters, height of the text lines and the curved nature of Malayalam alphabets.
296
22 Sep 2023
Topic Review
Thermal Simultaneous Localization and Mapping
Thermal Simultaneous Localization and Mapping (SLAM) is a rather new research topic, with most results being published in the last decade. Research is mainly focusing on thermal odometry rather than thermal SLAM, with several research groups that succeeded in utilizing thermal cameras to compute the odometry of a vehicle. For thermal 3D-mapping, i.e., the visualization of thermal data in 3D, the most common method is to superimpose the thermal images onto a pointcloud obtained from data generated from another depth source.
155
22 Sep 2023
Topic Review
Care of the Elderly and Robots in Healthcare
The use of robots in elderly care represents a dynamic field of study aimed at meeting the growing demand for home-based health care services. The application of robots in elderly home care is examined and contributes to the literature by introducing a comprehensive and functional architecture within the realm of the Internet of Robotic Things (IoRT). This architecture amalgamates robots, sensors, and Artificial Intelligence (AI) to monitor the health status of the elderly.
222
22 Sep 2023
Topic Review
Warning Systems in Cloud Computing Early Warning Systems
An early warning system (EWS) is an integrated system that facilitates preparedness and response mechanisms through the dissemination of early warning to reduce the impact of a natural disaster. An early warning system is an indispensable tool that helps save lives and reduce the impact of disasters on any infrastructure, such as roads, buildings, farmlands, etc. It has been estimated that USD 800 million is spent annually to develop and operationalize EWSs in developing countries that lack the requisite resources to mitigate the impact of any natural disaster.
226
22 Sep 2023
Topic Review
BGP Dataset-Based Malicious User Activity Detection
Recent advances in the Internet and digital technology have brought a wide variety of activities into cyberspace, but they have also brought a surge in cyberattacks, making it more important than ever to detect and prevent cyberattacks.
190
22 Sep 2023
Topic Review
Multi-Access Edge Computing
Multi-access edge computing (MEC), based on hierarchical cloud computing, offers abundant resources to support the next-generation Internet of Things network.
221
22 Sep 2023
Topic Review
Quantum Computer Hardware
Quantum computers are not only faster than conventional classical computers, but they also have a different framework for solving problems due to the laws of quantum mechanics such as superposition and entanglement.
122
22 Sep 2023
Topic Review
Depth Estimation in Structured Driving Scenes
Depth estimation is an important part of the perception system in autonomous driving. Studies often reconstruct dense depth maps from RGB images and sparse depth maps obtained from other sensors. However, existing methods often pay insufficient attention to latent semantic information. Considering the highly structured characteristics of driving scenes, the researchers propose a dual-branch network to predict dense depth maps by fusing radar and RGB images. The driving scene is divided into three parts in the proposed architecture, each predicting a depth map, which is finally merged into one by implementing the fusion strategy in order to make full use of the potential semantic information in the driving scene.
229
22 Sep 2023
Topic Review
Metaverse and AI for Internet of City Things
The Metaverse represents an always-on 3D network of virtual spaces, designed to facilitate social interaction, learning, collaboration, and a wide range of activities. This emerging computing platform originates from the dynamic convergence of Extended Reality (XR), Artificial Intelligence of Things (AIoT), and platform-mediated everyday life experiences in smart cities. However, the research community faces a pressing challenge in addressing the limitations posed by the resource constraints associated with XR-enabled IoT applications within the Internet of City Things (IoCT). Additionally, there is a limited understanding of the synergies between XR and AIoT technologies in the Metaverse and their implications for IoT applications within this framework.
185
22 Sep 2023
Topic Review
IoMT Based Big Data Framework for COVID-19
The Internet of Medical Things (IoMT) is transforming modern healthcare systems by merging technological, economical, and social opportunities and has recently gained traction in the healthcare domain. The severely contagious respiratory syndrome coronavirus called COVID-19 has emerged as a severe threat to public health. COVID-19 is a highly infectious virus that is spread by person-to-person contact.
243
22 Sep 2023
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