Results 1 to 10 of about 2,076,991 (192)

Internet-of-Video Things Based Real-Time Traffic Flow Characterization [PDF]

EAI Endorsed Transactions on Scalable Information Systems, 2021
Real-world traffic flow parameters are fundamental for devising smart mobility solutions. Though numerous solutions (intrusive and non-intrusive sensors) have been proposed, however, these have serious limitations under heterogeneous and ...
Ali Khan, Khurram Khattak, Zawar Khan, T. Gulliver, Waheed Imran, Nasru Minallah   +5 more
doaj   +1 more source

HetroTraffSim: A Macroscopic Heterogeneous Traffic Flow Simulator for Road Bottlenecks

Future Transportation, 2023
Smart mobility is crucial for future smart cities. Traffic simulation software (TSS) is an important tool for efficient planning and management of road networks to achieve this goal. Many TSS tools have been developed for both microscopic and macroscopic
Ali Zeb, Khurram S. Khattak, Muhammad Rehmat Ullah, Zawar H. Khan, Thomas Aaron Gulliver   +4 more
doaj   +1 more source

Novel approach based on topological simplification algorithm optimized with Particle Swarm Optimization

Machine Graphics & Vision, 2014
The movement of people can be considered as the flow of liquid, so we can use the methods employed for the flow of liquid to understand the motion of a crowd.
ZuKan Wei, HongYeon Kim, JaeHong Kim, YoungKyun Kim, ZhaoXin Wang   +4 more
doaj   +1 more source

An extended intelligent water drop approach for efficient VM allocation in secure cloud computing framework

Journal of King Saud University: Computer and Information Sciences, 2022
Cloud computing provides many advantages services to its users like online resources accessibility, better cost management, dynamic resource pooling, and efficient Virtual Machine (VM) allocation.
Kalka Dubey, S.C. Sharma
doaj   +1 more source

BlockPres: A Novel Blockchain-Based Incentive Mechanism to Mitigate Inequalities for Prescription Management System

Sensors, 2021
The study presents a blockchain-based incentive mechanism intended to encourage those in underserved communities to engage with healthcare services.
Alan Litchfield, Arshad Khan
doaj   +1 more source

Optimal Design of High-Channel-Count Fiber Bragg Grating Filters With Low Index Modulation Using an Improved Differential Evolution Algorithm

IEEE Photonics Journal, 2013
An effective optimization method based on a self-adaptive differential evolution (DE) algorithm is proposed to design high-channel-count fiber Bragg grating (FBG) filters.
Jing Chen, Hao Jiang, Zengruan Ye, Xiaoli Fu, Jianjie Zhu, Tundong Liu   +5 more
doaj   +1 more source

Energy and carbon-aware distributed machine learning tasks scheduling scheme for the multi-renewable energy-based edge-cloud continuum

Science and Technology for Energy Transition
As an increasing number of Distributed Machine Learning (DML) tasks are hosted on cloud platforms in the edge-cloud continuum, Data Centers (DCs) with massive data and computational requirements have become one of the world’s largest energy consumers ...
Miao Zicong, Liu Lei, Nan Haijing, Li Weize, Pan Xiaodong, Yang Xin, Yu Mi, Chen Hui, Zhao Yiming   +8 more
doaj   +1 more source

Secure Data Storage and Sharing Techniques for Data Protection in Cloud Environments: A Systematic Review, Analysis, and Future Directions

IEEE Access, 2022
A large number of researchers, academia, government sectors, and business enterprises are adopting the cloud environment due to the least upfront capital investment, maximum scalability, and several other features of it.
Ishu Gupta, Ashutosh Kumar Singh, Chung-Nan Lee, Rajkumar Buyya   +3 more
doaj   +1 more source

Graph database-based network security situation awareness data storage method

EURASIP Journal on Wireless Communications and Networking, 2018
With the rapid development of the Internet, network security situation awareness has attracted tremendous attention. In large-scale complex networks, network security situation awareness data presents the characteristics of large-scale, multi-source, and
Xiaoling Tao, Yang Liu, Feng Zhao, Changsong Yang, Yong Wang   +4 more
doaj   +1 more source

Blockchain Secured Dynamic Machine Learning Pipeline for Manufacturing

Applied Sciences, 2023
ML-based applications already play an important role in factories in areas such as visual quality inspection, process optimization, and maintenance prediction and will become even more important in the future.
Fatemeh Stodt, Jan Stodt, Christoph Reich   +2 more
doaj   +1 more source