scholarly journals Research on Database Research Based on VLDB and SIGMOD

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Liu Guiming

In today's world, there are several most authoritative international academic conferences in the fi eld of databases,such as vldb, sigmod, and icde, which provide a platform for discussion and exchange of database researchers,developers and applications, Guide and promote the development of database disciplines. We can see the hotspots oftoday’s database technology and discover the future trends of related topics from the researchers at these conferences.First, we analyzed the vldb and sigmod conferences in 2008, 2009 and 2010 accepted the core database technology onthe paper. We also cite the 'Observation on Database Research Trends via Publication Statistics' for statistics on thesetwo meetings from 1997 to 2006. We classify the paper into 28 classes, of which 22 are based on traditional databasetechniques and the other six classes are new categories that we added during the analysis. Then, we predicted that sixnew categories will be popular and become a new hotspot in the future, which is a major feature of this article. Finally,we analyze the trend of database technology hotspots in recent years, and deduce the development trend of futuredatabase technology.

Author(s):  
Changlun Gao ◽  
◽  
Junliang Huo ◽  
Zhantong Li ◽  
Beihuo Yao ◽  
...  

Gearbox load spectrum is the data basis for gearbox fatigue life prediction and strength verification. As the amount of load spectrum data increases exponentially and the demand for sharing increases, it is necessary to introduce database technology to store and manage load spectrum data. In this paper, the collection and processing of load data and the compilation of load spectrum are introduced in turns firstly. Then it sums the development and research status of database technology and the technical route of combining load spectrum database up secondly. Moreover, the current status of load spectrum database and the design steps of load spectrum database are summarized. Finally, the development trend of load spectrum database research is generalized and the prospect is put forward.


Author(s):  
Hongxin Zhang ◽  
Shaowei Ma ◽  
Meng Li ◽  
Hanghang Jiang ◽  
Jiaming Li

Background: In machine vision, the 3D reconstruction is widely used in medical system, autonomous navigation, aviation and remote sensing measurement, industrial automation and other fields, and the demand for reconstruction precision is significantly highlighted. Therefore, the 3D reconstruction is of great research value and will be an important research direction in the future. Objective: By reviewing the latest development and patent of 3D reconstruction, this paper provides references to researchers in related fields. Methods: Machine vision-based 3D reconstruction patents and literatures were analyzed from the aspects of the algorithm, innovation and application. Among them, there are more than 30 patents and nearly 30 literatures in the past ten years. Results: Researches on machine vision-based 3D reconstruction in recent 10 years are reviewed, and the typical characteristics were concluded. The main problems in its development were analyzed, the development trend was foreseen, and the current and future research on the productions and patents related to machine vision-based 3D reconstruction is discussed. Conclusion: The reconstruction result of binocular vision and multi-vision is better than monocular vision in most cases. Current researches of 3D reconstruction focus on robot vision navigation, intelligent vehicle environment sensing system and virtual reality. The aspects that need to be improved in the future include: improving robustness, reducing computational complexity, and reducing operating equipment requirements, and so on. Furthermore, more patents on machine vision-based 3D reconstruction also should be invented.


2015 ◽  
Vol 744-746 ◽  
pp. 1902-1905
Author(s):  
Shou Wen Ji ◽  
Qiu Xing Feng

The article researches on the development model of the National Public Information Sharing Platform for Transportation& Logistics (LOGINK), in which the author introduces the function orientation of the LOGINK. Based on the current development status of the platform, the article predicts the development trend in the future. Then, it analyzed the necessary of the transformation of the LOGINK’s development model. In order to ensure the sustainable development of the platform, this paper proposes that the development model should be changed from “Charity” to “Charity + Appreciation”. Lastly, the article gives a plan about the service model and profit model of the platform in the future.


2011 ◽  
Vol 368-373 ◽  
pp. 3672-3675
Author(s):  
Xiao Hua Guo ◽  
Lei Zhang

This paper discusses the development trend of urban residences in the future from residential energy conservation, sustainable development, ecologicalization, intelligentalization, and the way to fit for the demands of aging society, in order to offer a reference for seeking the construction pattern of comfortable, healthy and environmental protection residences and the development of such residences, and to make the residential construction in our country better satisfy the consistently increased residential requirements of people.


2021 ◽  
Vol 15 ◽  
Author(s):  
Yanling Zhao ◽  
Jiashuo Zhang

Background: Bearing has been widely used in automotive, aerospace, electronics industry, and other fields.Its pre-tightening technology is one of the most critical technologies. It has an important influence on the accuracy, speed, stiffness, and temperature rise of the spindle. Proper pre-tightening force can eliminate bearing clearance and improve machining accuracy and efficiency of machine tools. Therefore, the development trend of bearing pre-tightening mechanism has been paid more and more attention. Objective: In order to improve the processing efficiency and processing accuracy of the bearing system, the structure and function of the bearing pre-tensioning device are continuously enhanced. Methods: This paper retraces various current representative patents relative to the mechanism of bearing pre-tightening. Results: Through the investigation of several patents of bearing pre-tightening devices, the principles and effects of different bearing pre-tightening devices are classified and reviewed. Besides, the future development trend of bearing pre-tightening devices is discussed. Conclusion: The optimization of the bearing pre-tightening device is conducive to improving processing efficiency and quality. A controllable pre-tightening force is the research direction, and more related patents will be invented in the future.


Author(s):  
Iva Mihaylova

Artificial neural Networks (ANNs) are a powerful technique for multivariate dependence analysis. Originally inspired by neuroscience, ANNs are becoming an increasingly attractive analytic tool for applications in the area of economics and finance due to the flexible solutions they offer. The purpose of this article is to present such important applications with an emphasis on recent research trends. The contributions are grouped as follows: ANNs (1) for prediction, (2) for classification and (3) for modelling. The chapter concludes with the future trends in the ANNs research in economics and finance.


2014 ◽  
Vol 687-691 ◽  
pp. 2280-2283
Author(s):  
Yi Fei Zhang ◽  
Yu Huan Ji

The development of internet of things in recent years is firstly introduced in this paper, it points out that the internet of things has been used extensively in multi-domain not only because height attention in many countries, but also because of the high-speed development of technology. After that, the emphasis of this paper is to expound and analyze the actual applications of internet of things in several specific areas of social production and life nowadays. Finally, this paper points out the strengths of internet of things development in china, and looks forward to the development trend of internet of things and the life vision in the future.


Author(s):  
Iva Mihaylova

Artificial neural networks (ANNs) are a powerful technique for multivariate dependence analysis. Originally inspired by neuroscience, ANNs are becoming an increasingly attractive analytic tool for applications in the area of economics and finance due to the flexible solutions they offer. The purpose of this chapter is to present such important applications with an emphasis on recent research trends. The contributions are grouped as follows: ANNs (1) for prediction, (2) for classification, and (3) for modelling. The chapter concludes with the future trends in the ANNs research in economics and finance.


2012 ◽  
Vol 538-541 ◽  
pp. 2834-2837
Author(s):  
Shu Cong Chen

Health and environmental protection have become the development trend of the future infant clothing. The basic attribute of infant clothing has transformed from beauty, wearableness to safety, comfortableness and health. In this paper, the green concept in the design of infant clothing has been researched, and the green design of infant clothing is performed in the aspect of environmentally friendly materials, modeling and colors.


2012 ◽  
Vol 457-458 ◽  
pp. 1066-1069
Author(s):  
Yong Ping Chen ◽  
Ning Jiang

Organization networking is the development trend of modern enterprises management models, which is the new viewpoint on value creation of modern logistics enterprises. Through analysis on the meaning of logistics organization networking, the paper expounds the background and characteristics of organization networking. The paper is based on the viewpoint of organization networking. The aim is to contribute to the core competence promotion of logistics enterprises and obtain more value creation.


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