A state-of-the-art review on performance measurement petri net models for safety critical systems of NPP
NK Jyotish, LK Singh, C Kumar - Annals of Nuclear Energy, 2022 - Elsevier
Considering the safety significance, safety critical systems (SCS) of nuclear power plant
(NPP) needs to be validated for their performance. Authors are putting their continuous …
(NPP) needs to be validated for their performance. Authors are putting their continuous …
Predicting quality of service for selection by neighborhood-based collaborative filtering
Quality-of-service-based (QoS) service selection is an important issue of service-oriented
computing. A common premise of previous research is that the QoS values of services to …
computing. A common premise of previous research is that the QoS values of services to …
Adjusting learning depth in nonnegative latent factorization of tensors for accurately modeling temporal patterns in dynamic QoS data
A nonnegative latent factorization of tensors (NLFT) model precisely represents the temporal
patterns hidden in multichannel data emerging from various applications. It often adopts a …
patterns hidden in multichannel data emerging from various applications. It often adopts a …
Energy-centered and QoS-aware services selection for Internet of Things
ME Khanouche, Y Amirat, A Chibani… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
An important challenge to be addressed in the domain of Internet of Things (IoT) is the
development of efficient services selection algorithms for an optimal management of both …
development of efficient services selection algorithms for an optimal management of both …
Resource virtualization and service selection in cloud logistics
Cloud computing and Internet of Things have promoted a new logistics service mode, ie, the
cloud logistics mode. This work studies the resource virtualization and service encapsulation …
cloud logistics mode. This work studies the resource virtualization and service encapsulation …
An adaptive particle swarm optimization method based on clustering
Particle swarm optimization (PSO) is an effective method for solving a wide range of
problems. However, the most existing PSO algorithms easily trap into local optima when …
problems. However, the most existing PSO algorithms easily trap into local optima when …
[HTML][HTML] Routing protocol for MANET based on QoS-aware service composition with dynamic secured broker selection
MANET is a mobile ad hoc network with many mobile nodes communicating without a
centralized module. Infrastructure-less networks make it desirable for many researchers to …
centralized module. Infrastructure-less networks make it desirable for many researchers to …
Stochastic modeling and quality evaluation of infrastructure-as-a-service clouds
Cloud computing is a recently developed new technology for complex systems with massive
service sharing, which is different from the resource sharing of the grid computing systems …
service sharing, which is different from the resource sharing of the grid computing systems …
[HTML][HTML] An image retrieval framework design analysis using saliency structure and color difference histogram
This paper focuses on retrieving plant leaf images based on different features that can be
useful in the plant industry. Various images and their features can be used to identify the …
useful in the plant industry. Various images and their features can be used to identify the …
A Petri net approach to analysis and composition of web services
Business process execution language for Web services (BPEL) is becoming the industrial
standard for modeling Web-service-based business processes. Behavioral compatibility for …
standard for modeling Web-service-based business processes. Behavioral compatibility for …