Swarnava Dey

Swarnava Dey
Tata Consultancy Services Limited | TCS · TCS Innovation Labs

M. Tech

About

25
Publications
2,539
Reads
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289
Citations

Publications

Publications (25)
Article
Fire-related incidents continue to be reported as a leading cause of life and property destruction. Automated fire detection and localization (AFDL) systems have grown in importance with the evolution of applied robotics, especially because use of robots in disaster situations can lead to avoidance of human fatality. The importance of AFDL on resou...
Chapter
Advances in mobile technologies have made mobile devices more powerful and have also increased their penetration in the market. This trend has stimulated the prospect of making these devices participate in collaborative computing. Mobile devices are personal devices and any collaborative computing framework, which utilizes such devices, needs to en...
Conference Paper
With increased focus on in situ analytics, artificial intelligence (AI) algorithms are getting deployed on embedded devices at the network edge. Growing popularity of Deep Learning (DL) and inference largely due to minimization of feature engineering, availability of pre-trained models and fine-tunable datasets especially in image and video analyti...
Conference Paper
Running deep learning algorithms at the edge is a necessity in many industrial use-cases, especially in applications that use robots and drones in disaster recovery, surveillance, oil & gas operations etc. Current state of the art deep learning algorithms are extremely efficient in analysing image, audio, video and other time-series signals. Howeve...
Conference Paper
Fog Computing has in recent times captured the imagination of industrial and research organizations working on various aspects of connected livelihood and governance of smart cities. Improvements in deep neural networks imply extensive use of such models for analytics and inferencing on large volume of data, including sensor observations, images, s...
Chapter
With availability of large volume of collected data from healthcare centers and significant improvement in computation power, evidence based learning is helping in building robust disease diagnostic models. In this work MIMIC-II database, consisting of physiologic waveforms and clinical Information about ICU patients, is used for patient classifica...
Conference Paper
Of late, Cloud Robotics paradigm is being used to augment low-end robots with enhanced sensor data processing, storage and communication capabilities. In an era, where costly specialized hardware are being replaced by commodity hardware, software reliability within Cloud Robotic middleware will allow distributed execution on lightweight, low-cost r...
Conference Paper
Offloading computationally expensive Simultaneous Localization and Mapping (SLAM) task for mobile robots have attracted significant attention during the last few years. Lack of powerful on-board compute capability in these energy constrained mobile robots and rapid advancement in compute cloud access technologies laid the foundation for development...
Chapter
Connected Wellness/Healthcare is all about retrieving people’s physiological parameters through sensors and performing analysis. Individually, such analytics can help a patient to maintain a wellness regime, or to decide when to see a doctor, and can assist doctors in diagnosis. Collectively, such analytics, if performed over a long time over large...
Chapter
Smart mobile phones are vital to the Mobile Cloud Computing (MCC) paradigm where compute jobs can be offloaded to the devices from the Cloud and vice-versa, or the devices can act as peers to collaboratively perform a task. Recent research in IoT context also points to the use of smartphones as sensor gateways highlighting the importance of data pr...
Conference Paper
Full-text available
In recent times, many human-centric applications are being developed to leverage the diverse range of sensors present in Android smartphones. Smartphones are also being used as edge network gateways for fusing data from multiple sensors. These applications often run as background services and usually obtain and process sensor data. However, smartph...
Conference Paper
Smartphones are currently being used to develop diverse range of applications (apps) involving sensors. These apps generally acquire and analyze sensor data and are usually implemented as background services. The importance values of Android processes are in a hierarchy of foreground, visible, background etc. in decreasing order of importance. When...
Conference Paper
In this paper, we study the problem of opportunistic task scheduling and workload management in a mobile cloud setting considering computation power variation. We gathered mobile usage data for a number of persons and applied supervised clustering to show that a pattern of usage exists and that follows a state-based model. Based on this model, we p...
Conference Paper
The current global emphasis on “Internet of Things (IoT)” have highlighted the extreme importance of sensor-based intelligent and ubiquitous systems which are more commonly known as “cyber-physical systems.” The technology has the potential to create a network of smart devices and things to an extent that has never been envisaged before, far outnum...
Conference Paper
The current emphasis on Internet of Things (IoT) across the globe highlights the extreme importance of sensor-based intelligent and ubiquitous systems which are collectively known as cyber-physical systems. It is envisaged that the technology will create a network of smart devices and things to an unprecedented extent, far outnumbering the number o...
Conference Paper
In the context of Internet of Things (IoT), data acquisition, management, and analysis for knowledge extraction has given rise to a new generation of services. The heterogeneity of services being offered today on the enormous expanse of data as available from sensors and smart devices, needs a distributed infrastructure for analysis and computation...
Conference Paper
Internet of Things (IoT) has the potential to become a technology revolution with a vision of creating very large scale network, comprising of unprecedented number of connected devices. These devices, often referred to as smart items or intelligent things can be home appliances, healthcare devices, vehicles, buildings, factories and almost anything...
Conference Paper
The current emphasis on sensor-based intelligent and ubiquitous systems, more commonly known as “cyber-physical systems”, has the potential to give rise to a new generation of systems and services encompassing several domains such as e-Governance, healthcare, transportation, waste management, energy & utilities, insurance, etc., resulting in the me...
Conference Paper
There is an ever increasing need of storage capacity for storage of digital archives and historical data-digital preservation, because of regulatory and compliance requirements. There is an increasing interest in disk based archival system. Major technical challenges in creating large disk based storage archive are - providing large capacity at low...
Conference Paper
The smart cities of future need to have a robust and scalable video surveillance infrastructure. In addition it may also make use of citizen contributed video feeds, images and sound clips for surveillance purposes. Multimedia data from various sources need to be stored in large scalable data stores for compulsory retention period, on-line, off-lin...
Article
The paper attempts to identify the deterrents thedeterrents for fast boot experience in embedded Linux-basedsystems and proposes a new idea with new results for betteruser experience during system boot up. The novel softwarepartitioning scheme in combination with an adaptive mountingorder is proposed in this paper is a self adaptive mechanismapplic...

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Projects

Projects (3)
Project
Neuromorphic and Edge Computing
Project
Screening and Monitoring for non-communicable diseases like cardiac, neurological, musculoskeletal and geriatric
Archived project
We work on application mutation, communication and computation aware schedulers for cloud-based IoT architectures. We are also looking into cloud-less IoT architecture where computations will be carried out by peer low-capacity systems (eg. fog-computing) making the system truly distributed.