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Linearly-Homomorphic Signatures and Scalable Mix-Nets
Anonymity random shuffling linearly-homomorphic signatures
2019/5/23
Anonymity is a primary ingredient for our digital life. Several tools have been designed to address it such as, for authentication, blind signatures, group signatures or anonymous credentials and, for...
机器人的CP-nets优化类人轨迹规划
机器人控制 人机系统 条件偏好网 轨迹
2019/3/15
机器人移动轨迹按照人的手臂来模拟是提高机器人安全性和人机交互能力的有效方法,特别是针对机器人抓取路径不唯一的场合,类人行为对于人机系统表现更加自然。此前,通常利用Kinect等设备,基于人工神经网络和K近邻算法等智能算法对类人轨迹进行规划,但无法获得未采样过的最优轨迹。本文基于CP-nets采用偏好模型研究类人运动轨迹,然后将该模型应用于机器人控制,在没有采样的情况下,也可得到最优的类人轨迹。实验...
MODELLING OF BIOMETRIC IDENTIFICATION SYSTEM WITH GIVEN PARAMETERS USING COLORED PETRI NETS
Photogrammetry Colored Petri Nets Automation Feature Detection Biometry Odontology Tooth Structure
2017/6/19
Biometric identification systems use given parameters and function on the basis of Colored Petri Nets as a modelling language developed for systems in which communication, synchronization and distribu...
TARGETED SOCIAL SAFETY‐NETS TO ALLEVIATE POVERTY: PRINCIPLES AND NEPALESE PRACTICES
Principles Nepalese Practices
2016/1/28
In recent days the term social protection emerged as synonym to wider poverty
alleviation framework for the third world, poor and transition economies. It covers non‐
compensatory targeted cash tran...
Formal Analysis of Chaumian Mix Nets with Randomized Partial Checking
Chaumian Mix Nets Privacy Verifiability
2016/1/9
Mix nets with randomized partial checking (RPC mix nets) have been introduced by
Jakobsson, Juels, and Rivest as particularly simple and efficient verifiable mix nets. These
mix nets have been used ...
Re-Encryption randomized partial checking (RPC) mix nets were introduced
by Jakobsson, Juels, and Rivest in 2002 and since then have been employed
in prominent modern e-voting systems and in politic...
NSF-supported engineer and vision scientist nets Emmy for tool to predict perceived video quality
NSF engineer vision scientist nets Emmy for tool predict perceived video quality
2015/10/13
Sometimes it's not so much what you see as what youdon't see that matters.Alan Bovik led a team of researchers that, in the early 2000s, invented a tool to predict how the average person will per...
Animal communication systems and human languages can be characterised by the type of cognitive
abilities that are required. If we consider the main semiotic distinction between communication
using...
High-bandwidth wireless communication links could provide major improvements to integrated ocean observatory systems. The potential of broadband wireless networks opens up numerous application scenari...
Estimating Zooplankton Biomass Distribution in the Water Column Near the Endeavour Segment of Juan de Fuca Ridge Using Acoustic Backscatter and Concurrently Towed Nets
Estimating Zooplankton Biomass Water Column Near Endeavour Segment Juan de Fuca Ridge Acoustic Backscatter Concurrently Towed Nets
2015/7/14
Logistical challenges, time, and the cost of towed net surveys make it difficult to obtain estimates of secondary biomass and production in the open ocean outside the summer sampling season. Alternate...
基于CP-nets 的偏好感知交互式遗传算法及其个性化搜索
交互式遗传算法 偏好感知 条件偏好网络 个性化搜索
2015/7/16
针对用户显式评价导致用户疲劳, 进而限制交互式遗传算法搜索性能的问题, 研究基于用户交互行为和条件偏好网络(CP-nets) 的隐式评价模式的交互式遗传算法, 并将其应用于图书商品个性化搜索. 首先, 给出用户交互行为的数学描述, 建立基于用户少量交互行为的条件偏好网络模型以拟合用户偏好; 然后, 利用CP-nets 模型估计用户对进化个体的评价值, 实施进化操作以帮助用户尽快找到满意解. 在个性...
The Basis of Hyperspecificity in Autism:A Preliminary Suggestion Based on Properties of Neural Nets
Hyperspecificity in Autism Preliminary Suggestion Neural Nets
2015/6/19
This article reviews a few key ideas about the representation of information of information in neural networks, and uses these ideas to address one aspect of autism, namely the apparent hyperspecifici...
Resource Requirements of Standard and Programmable Nets
Resource Requirements Standard Programmable Nets
2015/6/19
In several places in this book we have examined the capabilities of various models of parallel distributed processing. We have considered models that are guaranteed to do one thing or another-to learn...
This paper deals with a methodology to derive object models for automatic object extraction in low resolution images from models
created manually for high resolution images. The object models are re...