Algorithm Research of Two-Dimensional Size Measurement on Parts Based on Machine Vision

2013 ◽  
Vol 694-697 ◽  
pp. 1945-1948 ◽  
Author(s):  
Cai Hua Li ◽  
Jin Bo Zhang ◽  
Xiao Ping Hu ◽  
Guo Fu Zhao

With the rapid development of computer science, image processing, and pattern recognition, people are paying more and more attention on research and application of machine vision, which has resulted in excellent results in many fields. Depending on the features of untouched, fast-speed, real-time, proper precision, anti-interference, the inspection technology based on machine vision has been researched deeply and comprehensive applied aboard. Recently, the size measurement technology based on machine vision has been applied in the size measurement of the machine processing parts. A case study of typical regular mechanical parts, algorithm of position and size measurement of line, circle center and radius are researched, and good results are got, which established an academic foundation for further measurement of complex parts.

Author(s):  
Christian Quesada-López ◽  
Alexandra Martínez ◽  
Marcelo Jenkins ◽  
Luis Carlos Salas ◽  
Juan Carlos Gómez

2021 ◽  
Vol 251 ◽  
pp. 01008
Author(s):  
Yuyan Wang

As the living standard increased, more and more people join this sport. The rapid development of skiing equipment and ski resorts stimulates multiple people to experience skiing. This paper analyzes the current situation and development of the ski industry in China. Based on the case study, the author analyzes the prospect and provides suggestions in the end for ski companies.


2020 ◽  
pp. 277-292
Author(s):  
Ekaterina I. Nosova ◽  

Interest in the history of book collections is not a recent phenomenon. However, rapid development of computers and the Internet over the past twenty years has provided researchers with new tools for network analysis, such as UCI6 и NetDraw 2.160. Continuing to identify the provenance of the documents kept in the Western European Section of the Scientific Historical Archive of the St. Petersburg Institute of History of the Russian Academy of Sciences, the author had to face the fact that abundance of information and complexity of the links between various sources make it difficult to make out the complete picture. The Western European section of the Scientific Historical Archive of the St. Petersburg Institute of History of the Russian Academy of Sciences is mostly based on the collection of the academician N P. Likhachev (1862—1936). N.P. Likhachev contacted hundreds of antiquarian firms around the world, and thus his collection fits into the complex and interwoven system of the European antiquarian market of the late 19th–early 20th century. To overcome the problem of branching data, the author decided to call on the experience of sociologists and to use computer programs for network analysis that enable to reflect and comprehend the links between objects. The article is to present the process and results of this work, as well as to underscore problems and specificity of the programs in relation to the archival material. The main source is data from the personal provenance archive of the academician N. P. Likhachev, collection of documents on the history of the Western European Section, and artifacts from the Likhachev collection. The second layer of sources is antiquarian catalogs. The program can visualize these two layers of information in different ways by using different colors and lines. Overlaying of the schemes allows completing of missing elements in the chain of provenance. It should be noted that due to the richness of the sources, the network, originally compiled for the collection of N.P. Likhachev, grows into a pan-European system of “collector-antiquarian” relationships. It opens wide perspectives for research.


2019 ◽  
Vol 20 (5) ◽  
pp. 897-919
Author(s):  
Hung-Lung Lin ◽  
Cheng-Chung Cho ◽  
Yu-Yu Ma ◽  
Ying-Qing Hu ◽  
Ze-Hui Yang

The rapid development of e-commerce in China has played a critical role in the development of the national economy and ongoing modernization. The plant industry is unique among industries that employ e-commerce sales models because its products exhibit special characteristics such as high death and damage rates. Therefore, its e-commerce and logistical requirements are stricter than in other industries and, as a result, excess warehouse storage can be extremely difficult for e-commerce–based plant shops to manage. Numerous studies have indicated the need to identify a product’s most up-to-date market conditions, as well as the type, function, and size of warehouses. Therefore, based on a case study, this study proposes an optimization plan for solving excess warehouse storage in e-commerce–based plant shops. First, sales volume data of the case company, Enterprise A, were analyzed to predict future sales. Then, entropy and the technique for order preference by similarity to an ideal solution were used to construct the decision-making model. Finally, a cloud warehouse–based optimization plan was proposed to solve excess warehouse storage in e-commerce–based plant shops. This plan can serve as a reference for decision-makers or executives in e-commerce–based plant shops when handling excess warehouse storage.


2021 ◽  
Vol 11 (23) ◽  
pp. 11132
Author(s):  
Xiaomin Wang ◽  
Jingyu Liu ◽  
Wenxin Zhang

The rapid development of high-speed rail (HSR) and station areas has shortened the spatial and temporal distances among cities, improved the accessibility of cities, and affected the spatial agglomeration and diffusion of populations and of social and economic activities. This has led to spatial reconfiguration of production factors within cities, which has the potential to drive the reconstruction of urban spatial structures. Based on POI and land-use data, this paper defines the spatial scope of the HSR station area and explores the characteristics and influencing factors of its spatial structure from the perspective of industry. The study area i is set at 2000 m. Since the opening of the HSR, the industrial distribution has exhibited a significant circular, multi-core, and axial belt spatial structure. The spatial structure of each sub-industry is different. On the whole, internal and external transport and agglomeration economies have significant impacts on the industrial spatial distribution, and land rent has gradually decreased in importance with the development of HSR station areas. The intensity of the effects of different factors varies among different industries. The mechanisms by which the spatial structure of the station area is formed are discussed and include location accessibility, micro-market factors, node station attributes, the availability of a sufficient amount of undeveloped land, the characteristics and needs of HSR passengers, and policies and systems.


2019 ◽  
Vol 1 (1) ◽  
pp. 10
Author(s):  
Hendrie Ardhiansyah ◽  
Nurhidayati Nurhidayati

Over the years, the rise of digital economy has confused countries in their efforts to tax foreign companies without physically presence within their jurisdiction. One of the potential tax revenues that have not been optimally digging comes from the digital sector. The digital economy sector has enormous potential along with the rapid development of information and communication technology, especially the internet. This digital economy market is dominated by internet-based services commonly called Over The Top (OTT) services and is filled with global content owned by foreign companies. This article argues the provisions of taxation for foreign OTT lending providers in England, Australia, India, and Japan. This research used a qualitative non-case study approach. This study outlines the strengths and weaknesses of each alternative.


2020 ◽  
Vol 6 (2) ◽  
pp. 367
Author(s):  
Kadek Ari Styawati ◽  
A.A.N. Eddy Supriyadinata Gorda

The rapid development of information and communication technology offers solutions in effective and efficient organizational management. The implementation of information technology becomes an important aspect in the competition in the digital arena. This study aims to examine in-depth about how the application of HRIS in STPBI. The research results showed that the implementation of HRIS at STPBI is used as a strategic activity in optimizing HR functions. The transformation and implementation of HRIS has several supporting and inhibiting factors. These supporting and inhibiting factors are combined in the development of HR in line with the theoretical and literary concepts used in this study. Through integrated work synergies in the field of staffing, transparency and availability of information is very helpful in decision making. The implementation of HRIS at STPBI is based on the paradigm of a balance between supporting factors and inhibiting factors.


Rapid development in information and communication technology (ICT) is changing the instructional strategies in Higher Education. This study aimed to identify the level of self-efficacy of B.Ed. (IT) undergraduates of a local University in a flipped classroom. Further it also investigated gender difference among the undergraduates self-efficacy in the classroom. A group of 35 student selected using convenience sampling method. This group divided into Group 1 as control group and Group 2 as intervention. Group one consists of 17 students and two consist of 18 students. Initially the two classes answered pre-survey questionnaire of self-efficacy. Then control group was exposed to conventional teaching whereas intervention group intervened with Padlet. Data were analyzed with SPSS and revealed the intervention group has high Cohen effect (d) = .53, which is considered moderate size compared Cohen effect (d) = .17, considered small. This study clearly exhibits intervention group has better self-efficacy than control group. Further, the effect size of control group revealed decline in self-efficacy. In study exhibits there is no difference by gender in terms of self-efficacy. It is expected further study should be conducted by taking in to account sample size, duration of intervention, and method.


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