Browsing Articles - Software Research Institute by Title
Now showing items 13-32 of 76
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Collaboration of drone and Internet of public safety things in smart cities: an overview of Qos and network performance optimization.
(MDPI, 2019-01-27)This paper studies the network performance of collaboration between the Internet of public safety things (IoPST) and drones. Drones play a vital role in delivering timely and essential wireless communication services for ... -
Convergence of machine learning and robotics communication in collaborative assembly: mobility, connectivity and future perpectives.
(Springer, 2019-10-16)Collaborative assemblies of robots are promising the next generation of robot applications by ensuring that safe and reliable robots work collectively toward a common goal. To maintain this collaboration and harmony, ... -
CS-Man: computation service management for IoT in-network processing.
(2016)The Internet of Things (IoT) expects to link billions of devices to the Internet, which will produce massive amounts of data. Current approaches move the IoT data out of the network for processing. It results in long delays ... -
Data driven approach for eye disease classification with machine learning.
(MDPI, 2019-07-11)Medical health systems have been concentrating on artificial intelligence techniques for speedy diagnosis. However, the recording of health data in a standard form still requires attention so that machine learning can ... -
Delay-based network utility maximization modelling for congestion control in name data networking
(IEEE, 2021-10-05)Content replication and name-based routing lead to a natural multi-source and multipath transmission paradigm in NDN. Due to the unique connectionless characteristic of NDN, current end-to-end multipath congestion control ... -
Denoising of Nifti (MRI) images with a regularized neighborhood pixel similarity wavelet algorithm
(MDPI, 2023-09-10)The recovery of semantics from corrupted images is a significant challenge in image processing. Noise can obscure features, interfere with accurate analysis, and bias results. To address this issue, the Regularized ... -
Depth-map generation using pixel matching in stereoscopic pair of images
(arXiv, 2019-02)Modern day multimedia content generation and dissemination is moving towards the presentation of more and more ‘realistic’ scenarios. The switch from 2-dimensional (2D) to 3-dimensional (3D) has been a major driving ... -
Digital twin: origin to future
(MDPI, 2021-05-24)Digital Twin (DT) refers to the virtual copy or model of any physical entity (physical twin) both of which are interconnected via exchange of data in real time. Conceptually, a DT mimics the state of its physical twin ... -
Digital twins collaboration for automatic erratic operational data detection in industry 4.0
(MDPI, 2021-04-02)Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and ... -
ECE: Exactly-Once-Computation for Collaborative Edge in IoT using Information Centric Networking
(IEEE, 2023-05-11)—Exactly-once data processing/delivery can be guaranteed in traditional big data processing systems, e.g. Apache Flink. Checkpoint is commonly used as the solution. Each operator in these systems can restart from the ... -
Effectiveness of cleaning and disinfection procedures on the removal of enterotoxigenic Bacillus cereus from infant feeding bottles.
(International Association for Food Protection, 1998)Reconstituted infant milk formulas are considered a food class of high risk because of the susceptibility of the infant population to enteric bacterial pathogens, severe response to enterotoxins, and increased mortality. ... -
Effectiveness of crypto-transcoding for H.264/AVC and HEVC video bit-streams.
(Springer, 2019-03-22)To avoid delays arising from a need to decrypt a video prior to transcoding and then re-encrypt it afterwards, this paper assesses a selective encryption (SE) content protection scheme. The scheme is suited to both recent ... -
An ensemble machine learning method for microplastics identification with FTIR spectrum
(Elsevier, 2022-06-20)Microplastics (MPs) (size < 5 mm) marine pollution have been investigated and monitored by many researchers and found in many coasts around the world. These toxic chemicals make their way into human diet through food ... -
An evaluation of a 3D multimodal marker-less motion analysis system.
(ACM, 2019-06)Motion analysis is a technique used by clinicians (among many others) that quantifies human movement by using camera-based systems. Marker-based motion analysis systems have been used across a variety of application ... -
FireNet: a specialized lightweight fire & smoke detection model for real-time IoT applications.
(arXiv, 2018-05-28)Fire disasters typically result in lot of loss to life and property. It is therefore imperative that precise, fast, and possibly portable solutions to detect fire be made readily available to the masses at reasonable ... -
Four quadrant analog multiplier based memristor emulator using single active element
(Elsevier, 2020-02)This paper presents a novel Four Quadrant Analog Multiplier (FQAM) circuit and its applications using a single active element Current Differencing Transconductance Amplifier (CDTA) and two NMOS. This circuit has a cascadability ... -
A framework for distributed cleaning of data streams.
(Elsevier, 2015)Vast and ever increasing quantities of data are produced by sensors in the Internet of Things (IoT). The quality of this data can be very variable due to problems with sensors, incorrect calibration etc. Data quality can ... -
Fuzzy‑logic threat classification for multi‑level selective encryption over real‑time video streams.
(Springer, 2020-04-22)This paper proposes a Fuzzy-logic Threat Classification (FTC) model as the basis of a method to auto-detect three different confidentiality levels for videos streamed from heterogeneous, mobile devices via web edge servers, ... -
Green internet of things using UAVs in B5G networks: a review of applications and strategies
(Elsevier, 2021-04-03)Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a ... -
GRU-based deep learning approach for network intrusion alert prediction
(Elsevier, 2021-11)The exponential growth in the number of cyber attacks in the recent past has necessitated active research on network intrusion detection, prediction and mitigation systems. While there are numerous solutions available for ...