RESEARCH AND APPLICATION ON THE TECHNOLOGY OF MULTI-VIEW POINT DATA REGISTRATION BASED ON MULTIPLE SENSOR MEASUREMENT

2016 ◽  
Author(s):  
Chen Zhang ◽  
Yu-Jun Cai ◽  
Peng-Peng Zhang
Keyword(s):  
View Point ◽  
Data Registration ◽  
Multiple Sensor ◽  
Sensor Measurement ◽  
Point Data

scholarly journals Synergetic research response classifiers for multiple domains

2018 ◽  
Vol 7 (2.21) ◽  
pp. 358
Author(s):  
Ranjith . ◽  
P Sheela Gowr ◽  
K S. Archana ◽  
Sai Mouli
Keyword(s):  
Global Model ◽  
View Point ◽  
Short Supply ◽  
Domain Names ◽  
Unique Model ◽  
Benchmark Datasets ◽  
Point Data ◽  
Multiple Domains ◽  
Area View ◽  
Point Class

A Collaborative Multi-domain sentiment type of communicate to teach view point classifier for more than one company at a time. For this method, the view point facts in one-of-a-type domain names is given to teach more precise and strong view point classifier for both area while labelled records is short supply. Particularly, we putrefy the view point classifier of area into activities, an international one and website precise one. The global model can seize the general sentiment information and is given by using the usage of numerous companies. The vicinity unique model can seize the appropriate view point voicing in every area. Further, we extract region specific view point records for every labelled and unlabelled representative in every area and use it to intensify the mastering area-precise sentiment classifiers. Except, we comprise the opposition among companies to communicate standardise over an area precise view point classifiers to inspire the sharing of view point data among the same domain names. sorts of area standardise compute are explored, one based mostly on text and the alternative based one totally in view point voicing. Here after, we initiate green algorithms to remedy the version of same method. Probing consequences on Benchmark datasets display this method can efficiently make better the overall showing of multi area view point class and substantially overstep baseline strategies.  

Methods to Improve the Accuracy of Registration for Multimodal Inspection of Mechanical Parts

2005 ◽  
Author(s):  
Yanyan Wu ◽  
Prabhjot Singh
Keyword(s):  
A Priori ◽  
Measurement Data ◽  
Data Sets ◽  
Registration Accuracy ◽  
Registration Method ◽  
Data Registration ◽  
Point Data ◽  
Multimodal Data Fusion ◽  
Iterative Closest Point Algorithm ◽  
The One

Registration refers to the process of aligning corresponding features in images or point data sets in the same coordinate system. Multimodal inspection is a growing trend wherein an accurate measurement of the part is made by fusing data from different modalities. Registration is a key task in multimodal data fusion. The main problem with high-accuracy registration comes from noise inherent in the measurement data and the lack of the one-to-one correspondence in the data from different modalities. We present methods to deal with outliers and noise in the measurement data to improve registration accuracy. The proposed algorithms operate on point sets. Our method distinguishes between noise and accurate measurements using a new metric based on the intrinsic geometric characteristics of the point set, including distance, surface normal and curvature. Our method is unique in that it does not require a-priori knowledge of the noise in the measurement data, therefore fully automatic registration is enabled. The proposed methods can be incorporated into any point-based registration method. It was tested with the traditional ICP (Iterative Closest Point) algorithm with application to the data registration among point, image, and mesh data. The proposed method can be applied to both rigid and non-rigid registration.

Unorganized 3-D Points Data Registration with Local Geometric Feature Based on CUDA

2012 ◽  
Vol 433-440 ◽  
pp. 4725-4729
Author(s):  
Qi Ming Wei ◽  
Wei Yong Wu
Keyword(s):  
Original Data ◽  
Geometric Feature ◽  
Coordinate Space ◽  
Data Sets ◽  
Multiple Viewpoints ◽  
Data Registration ◽  
Data Matching ◽  
Feature Based ◽  
Point Data ◽  
Parallel Pattern

Automatic Automatic 3-D unorganized point data registration technique,which maps 3-D datas measured from multiple viewpoints into a common coordinate space, is a key technique for reverse engineering.In order to improve data matching speed, a parallel detecting algorithm with local geometric feature based on CUDA architechure was proposed.Firstly,local geometric feature points were extracted from original data sets,and then the correspondence between them are computed, at last this registration algorithm was implemented in parallel pattern on CUDA.The comparison experiments show that this algorithm is efficient and robust against noise.

Blockchain technologies and their application in governmentadministration

2019 ◽  
pp. 182-190
Author(s):  
Myroslav Kosіak ◽  
Inna Kosіak
Keyword(s):  
The State ◽  
Public Authorities ◽  
Property Insurance ◽  
Data Registration ◽  
State Management ◽  
Digital World ◽  
Blockchain Technology ◽  
The Government ◽  
Historical Comparative ◽  
Methods Analytical

The purpose of the article. The article considers the Blockchain technology asan innovative tool. In particular, the essence and background of the developmentof blocks, the principles and specifics of the functioning of the system, as well asthe scheme of its work, are determined. The article presents the prospects forusingdistributed registry technologies (blockchain) in various socioeconomic spheresrelated to state administration. Provided examples and forecasts of the use ofblockchain technologies in the provision of state and municipal services forindividuals and legal entities in the following areas: formation of a unified registercontaining the history of the placement of the state, municipal order, as well asprocurement of corporations with state participation and / or control; registers ofdocuments (diplomas, certificates, lost and disavowed passports, policies for movableand immovable property insurance, health, etc.); database of court decisions andexecutive proceedings; public participation portals for citizens of Ukraine district- city – country. The fact that the blockchain technology is, first of all, theprinciples, and not the only possible way of implementing them, allows us to counton maximum openness and multivariate application in a dynamically changingchanging«digital world». Methodology. The research methodology is to use a combinationof methods: analytical, historical, comparative. The scientific novelty. The priorityof state blockchain systems introduction in stationary and distant voting, distributeddocument circulation, medical data registration, land resources registration,electronic auctions (auctions) in Ukraine was grounded. Conclusions. Already today,blockchain systems can change the role and participation of citizens in the conductof the state-management process, by raising the responsibility level, from thetransparent will expression in the elections to regulating the government serviceactivity in the society’s digitization conditions. The main advantages blockchainsystems using by public authorities that will increase the level of citizens trust todigital technologies using in general, namely: reliability and reliability of datastorage, transparency of transactions and virtually absolute protection of informationfrom distortion and unauthorized removal (relocation), are determined. In furtherscientific research it is proposed to consider the promising areas of the blockchaindigital technology usage: service activities of public authorities, legal proceedings,property rights management, implementation of migration control, verification ofgoods and services, registration of data on passing qualifying tests, patenting,intellectual property, digital identification, logistics , taxation, accounting ofbudget funds movement.

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