Automatic Data Cleaning System for Large-Scale Location Image Databases using a Multilevel Extractor and Multiresolution Dissimilarity Calculation

2020 ◽  
pp. 1-1
Author(s):  
Hsu-Yung Cheng ◽  
Chih-Chang Yu
2016 ◽  
Vol 23 (6) ◽  
pp. 595-604 ◽  
Author(s):  
Jae Hyoung Cho ◽  
Hun-Sung Kim ◽  
Seung Hyun Yoo ◽  
Chang Hee Jung ◽  
Woo Je Lee ◽  
...  

Introduction The aim of this study was to improve the quality of diabetes control and evaluate the efficacy of an Internet-based integrated healthcare system for diabetes management and safety. Methods We conducted a large-scale, multi-centre, randomized clinical trial involving 484 patients. Patients in the intervention group ( n = 244) were treated with the Internet-based system for six months, while the control group ( n = 240) received the usual outpatient management over the same period. HbA1c, blood chemistries, anthropometric parameters, and adverse events were assessed at the beginning of the study, after three months, and the end of the study. Results There were no initial significant differences between the groups with respect to demographics and clinical parameters. Upon six-month follow-up, HbA1c levels were significantly decreased from 7.86 ± 0.69% to 7.55 ± 0.86% within the intervention group ( p < 0.001) compared to 7.81 ± 0.66% to 7.70 ± 0.88% within the control group. Postprandial glucose reduction was predominant. A subgroup with baseline HbA1c higher than 8% and good compliance achieved a reduction of HbA1c by 0.8 ± 1.05%. Glucose control and waist circumference reduction were more effective in females and subjects older than 40 years of age. There were no adverse events associated with the intervention. Discussion This e-healthcare system was effective for glucose control and body composition improvement without associated adverse events in a multi-centre trial. This system may be effective in improving diabetes control in the general population.


Author(s):  
Hongzhi Wang ◽  
Jianzhong Li ◽  
Ran Huo ◽  
Li Jia ◽  
Lian Jin ◽  
...  

2019 ◽  
Vol 13 (1) ◽  
pp. 215-217 ◽  
Author(s):  
Weibang Li ◽  
Ling Li ◽  
Zhanhuai Li ◽  
Mengtian Cui

1987 ◽  
Vol 33 (S1) ◽  
pp. 66-77 ◽  
Author(s):  
H. Jay Zwally

AbstractMany of the major advances in glaciology during the past 50 years have followed the development and application of new technology for viewing and measuring various characteristics of ice. Microscopes to study ice crystals, radars to probe the internal structure of large ice masses, mass spectrometers to analyze the atomic composition of ice cores, and satellite sensors to measure the global distribution of ice are some of the tools readily adapted by glaciologists. Today, new tools include microcomputers for automatic data logging, large-memory computers for data processing and numerical modeling, sensitive instruments for ice analysis, and satellite sensors for large-scale ice observations. In the future, continued advances in key technologies will help guide the evolution of science questions considered by glaciologists, expanding our view of ice, its fundamental properties, its interactions within the ice–ocean–land–atmosphere system, and its role in the evolution of our global environment.


2014 ◽  
Vol 556-562 ◽  
pp. 4959-4962
Author(s):  
Sai Qiao

The traditional database information retrieval method is achieved by retrieving simple corresponding association of the attributes, which has the necessary requirement that image only have a single characteristic, with increasing complexity of image, it is difficult to process further feature extraction for the image, resulting in great increase of time consumed by large-scale image database retrieval. A fast retrieval method for large-scale image databases is proposed. Texture features are extracted in the database to support retrieval in database. Constraints matching method is introduced, in large-scale image database, referring to the texture features of image in the database to complete the target retrieval. The experimental results show that the proposed algorithm applied in the large-scale image database retrieval, augments retrieval speed, thereby improves the performance of large-scale image database.


Author(s):  
John T. Rowell ◽  
Eugene R. Streich

This article describes the development and implementation of a program to train a large-scale, semi-automatic data processing system known as SAGE (Semi-Automatic Ground Environment). Particular attention is given to describing the the air defense system, the methodology used to satisfy the training requirements, the conduct of the training program in operational settings, and results of various studies of training effectiveness. Of significance was the emergence of a unique conceptual formulation of system training principles and of associated simulation techniques.


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