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Chapter and Conference Paper
O-Flocking: Optimized Flocking Model on Autonomous Navigation for Robotic Swarm
Flocking model has been widely used in robotic swarm control. However, the traditional model still has some problems such as manually adjusted parameters, poor stability and low adaptability when dealing with ...
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Chapter and Conference Paper
Construction of Human-Robot Cooperation Assembly Simulation System Based on Augmented Reality
Human-Robot cooperation (HRC) is the develo** trend in the field of industrial assembly. Design and evaluation of the HRC assembly workstation considering the human factor is very important. In order to eval...
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Chapter and Conference Paper
Threat or Opportunity – Analysis of the Impact of Artificial Intelligence on Future Employment
As the main force of the future development of science and technology, artificial intelligence technology has become the direction of many countries, enterprises and researchers. However, the technological pro...
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Chapter and Conference Paper
Scenario-Based User Experience Differences of Human-Device Interaction at Different Levels of Proactivity
In this paper, it mainly studied the satisfaction and mental comfort of people interacting with intelligent devices at different levels of proactivity. Three models were proposed corresponding to 3 levels of p...
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Chapter and Conference Paper
Composable and Finite Computational Security of Quantum Message Transmission
Recent research in quantum cryptography has led to the development of schemes that encrypt and authenticate quantum messages with computational security. The security definitions used so far in the literature ...
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Chapter and Conference Paper
Nasal Mesh Unfolding – An Approach to Obtaining 2-D Skin Templates from 3-D Nose Models
Nasal reconstruction requires a 2-D template representing the skin area to be taken from the donor site of the patient. We propose a new framework for template design, called nasal mesh unfolding, to obtain 2-D s...
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Chapter and Conference Paper
Simau: A Dynamic Privilege Management Mechanism for Host in Cloud Datacenters
Nowadays, a majority of cyber-attacks are associated with the insider threats owing to improper privileges management. Though a number of access control mechanisms have been carried out, the insider threats ar...
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Chapter and Conference Paper
PCA: Page Correlation Aggregation for Memory Deduplication in Virtualized Environments
To intelligently share limited memory across VMs in IaaS cloud, content-based page sharing (CBPS), like KSM, is utilized to greatly reduce the memory footprint of VMs. CBPS merges same-content pages into a sin...
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Chapter and Conference Paper
SCMKV: A Lightweight Log-Structured Key-Value Store on SCM
Storage Class Memories (SCMs) are promising technologies that would change the future of storage, with many attractive capabilities such as byte addressability, low latency and persistence. Existing key-value ...
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Chapter and Conference Paper
Access Path Based Source Address Validation in Mobile IPv6
Mobile IPv6 runs high risk of being attacked by IP spoofing due to the introduction of mobility and route optimization. In this paper, an authentic IP address validation scheme is proposed to protect mobile no...
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Chapter and Conference Paper
A Real-Virtual Map** Method for Mechanical Product Assembly Process Planning in Virtual Assembly Environment
In order to realize assembly process planning in virtual reality environment, an assembly process planning generation method based on real-virtual map** of basic motion sequence is proposed. Based on the ana...
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Chapter and Conference Paper
Multi-resolution LOD Volume Rendering in Medicine
This paper presents a level of detail (LOD) selection algorithm for multi-resolution volume rendering using 3D texture map**. It uses an adaptive scheme that renders the volume in a region-of-interest at a h...
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Chapter and Conference Paper
Unsupervised and Adaptive Segmentation of Multispectral 3D Magnetic Resonance Images of Human Brain: A Generic Approach
A generic algorithm is presented for the segmentation of threedimensional multispectral magnetic resonance images. The algorithm is unsupervised and adaptive, does not require initialization, classifies the da...
