Browsing Data Science Institute by Author "Yadav, Piyush"
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Knowledge graph driven approach to represent video streams for spatiotemporal event pattern matching in complex event processing
Yadav, Piyush; Salwala, Dhaval; Das, Dibya Prakash; Curry, Edward (World Scientific Publishing, 2020)Complex Event Processing (CEP) is an event processing paradigm to perform real-time analytics over streaming data and match high-level event patterns. Presently, CEP is limited to process structured data stream. Video ... -
Query-driven video event processing for the internet of multimedia things
Yadav, Piyush; Salwala, Dhaval; Arruda Pontes, Felipe; Dhingra, Praneet; Curry, Edward (VLDB Endowment, 2021-08)Advances in Deep Neural Network (DNN) techniques have revolutionized video analytics and unlocked the potential for querying and mining video event patterns. This paper details GNOSIS, an event processing platform to ... -
The role of open data in driving sustainable mobility in nine smart cities
Yadav, Piyush; Hasan, Souleiman; Ojo, Adegboyega; Curry, Edward (Association for Information Systems, 2017-06-05)In today’s era of globalization, sustainable mobility is considered as a key factor in the economic growth of any country. With the emergence of open data initiatives, there is tremendous potential to improve mobility. ... -
An SRAM optimized approach for constant memory consumption and ultra-fast execution of ML classifiers on TinyML hardware
Sudharsan, Bharath; Yadav, Piyush; Breslin, John G.; Ali, Muhammad Intizar (Institute of Electrical and Electronics Engineers, 2021-11-15)With the introduction of ultra-low-power machine learning (TinyML), IoT devices are becoming smarter as they are driven by Machine Learning (ML) models. However, any increase in the training data results in a linear ... -
TinyML benchmark: Executing fully connected neural networks on commodity microcontrollers
Sudharsan, Bharath; Salerno, Simone; Nguyen, Duc-Duy; Yahya, Muhammad; Wahid, Abdul; Yadav, Piyush; Breslin, John G. (National University of Ireland Galway, 2021-06-20)Recent advancements in the field of ultra-low-power machine learning (TinyML) promises to unlock an entirely new class of edge applications. However, continued progress is restrained by the lack of benchmarking Machine ... -
Traffic prediction framework for OpenStreetMap using deep learning based complex event processing and open traffic cameras
Yadav, Piyush; Sarkar, Dipto; Salwala, Dhaval; Curry, Edward (Dagstuhl Research Online Publication Server (DROPS), 2020-09-25)Displaying near-real-time traffic information is a useful feature of digital navigation maps. However, most commercial providers rely on privacy-compromising measures such as deriving location information from cellphones ... -
VID-WIN: Fast video event matching with query-aware windowing at the edge for the internet of multimedia things
Yadav, Piyush; Salwala, Dhaval; Curry, Edward (Institute of Electrical and Electronics Engineers (IEEE), 2021-04-23)Efficient video processing is a critical component in many IoMT applications to detect events of interest. Presently, many window optimization techniques have been proposed in event processing with an underlying assumption ...