K
Kazi Masudul Alam
Researcher at Khulna University
Publications - 29
Citations - 1097
Kazi Masudul Alam is an academic researcher from Khulna University. The author has contributed to research in topics: Cloud computing & Haptic technology. The author has an hindex of 12, co-authored 27 publications receiving 849 citations. Previous affiliations of Kazi Masudul Alam include University of Ottawa.
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Journal ArticleDOI
C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems
TL;DR: This paper presents a digital twin architecture reference model for the cloud-based CPS, C2PS, where the model helps in identifying various degrees of basic and hybrid computation-interaction modes in this paradigm.
Journal ArticleDOI
Toward Social Internet of Vehicles: Concept, Architecture, and Applications
TL;DR: SIoV is a vehicular instance of the Social IoT (SIoT), where vehicles are the key social entities in the machine-to-machine vehicular social networks and the social structures of SIoV components, their relationships, and the interaction types are identified.
Proceedings ArticleDOI
EmoJacket: Consumer centric wearable affective jacket to enhance emotional immersion
TL;DR: The results of a survey that was conducted to involve consumers in the design of a haptic jacket as a HCI device show an improvement in purpose by conducting a QoE experiment and the system may be used in different applications with the proper interfacing software.
Proceedings ArticleDOI
Bengali VADER: A Sentiment Analysis Approach Using Modified VADER
TL;DR: The functionalities of English VADER are modified, so that it can directly classify Bengali text sentiments without the requirement of Bengali to English translation using tools such as Google Translator, MyMemory Trans translator, etc.
Journal ArticleDOI
Workload Model Based Dynamic Adaptation of Social Internet of Vehicles
TL;DR: An analytical model is proposed to measure the workloads of various subsystems involved in the SIoV process and the findings of the analyses are used to design example adaptation strategies for theSIoV subsystems which would foster deployment of intelligent transport systems.