scholarly journals Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Hui Li
Keyword(s):  
Monitoring System ◽  
Similarity Judgment ◽  
Experimental Results ◽  
Web Pages ◽  
Resource Monitoring ◽  
Network Resource ◽  
Learning Stage ◽  
Starting Point ◽  
Tourism Resource ◽  
Tourism Resources

At present, there is a wide variety of tourism resources on the Internet. Tourism management departments must monitor these resources. At the same time, tourists must also retrieve personalized information that they are interested in. This requires a lot of time and energy. This essay studies and implements the tourism network resource monitoring system. The main work completed in the thesis proposes and constructs a topic collection algorithm and establishes a starting point, topic keywords, and a prediction mechanism. The algorithm includes three stages: the first climbing stage, the learning stage, and the continuous climbing stage. Open category directory search is used for similarity judgment and result evaluation. The experimental results show that with the continuous execution of the crawling process, the collection speed of related pages is getting faster and faster. We propose an algorithm for the extraction of wood based on the density of Internet tourism resources. The algorithm calculates the ratio of Internet tourism resource labels by row and uses a threshold extraction algorithm to distinguish area from private non-Internet tourism resource area. Experimental results show that the algorithm can successfully extract the main content of the article from a wide variety of web pages. This thesis takes the monitoring of tourism network resources as the research object and establishes a tourism network resource monitoring system, which can provide users with customizable, all-round, and real-time tourism network resource collection, extraction, and retrieval services so as to monitor tourism resources. The research results of this article can promote the construction of tourism informatization and can help users grasp the latest tourism information, thereby bringing great convenience to tourism. The system only downloads travel-related information through the use of topic collection technology, reducing the interference of irrelevant redundant web pages.

Study on the Truck Scale Cheating Automatic Monitoring System Based on the GPRS

2013 ◽  
Vol 703 ◽  
pp. 240-243 ◽  
Author(s):  
Yan Jun Zhao ◽  
Shou Guang Cheng ◽  
Bin Qu
Keyword(s):  
Monitoring System ◽  
Measurement Data ◽  
Experimental System ◽  
Automatic Monitoring ◽  
Experimental Results ◽  
Pneumatic Conveying ◽  
Automatic Monitoring System ◽  
On Line ◽  
Conveying System

The truck scale is more and more applied on the weighing system. To seek illegal profits, many kinds of truck scale cheating method is found in the weighing system. To monitoring the truck scale cheating method, the truck scale cheating automatic monitoring system based on the GPRS is brought out in this paper. The truck scale cheating automatic monitoring system is designed. The monitoring system includes three parts: the monitoring terminal, the GPRS transmission module and the upper monitoring system. The truck scale measurement data of the sensors are collected by the monitoring terminal and sent to the upper monitoring system through the GPRS module. The experimental system is established on the pneumatic conveying system and the experiment is carried out. The experimental results show that the automatic monitoring system can on-line monitor the truck scale cheating method and improves the security of the truck scale weighing system.

Company Acquisition Relations Extraction From Web Pages

2019 ◽  
pp. 1-17
Author(s):  
Jie Zhao ◽  
Jianfei Wang ◽  
Jia Yang ◽  
Peiquan Jin
Keyword(s):  
Relation Extraction ◽  
Experimental Results ◽  
Web Pages ◽  
Web Content ◽  
A Company ◽  
Novel Algorithm

In this chapter, we study the problem of extracting company acquisition relation from huge amounts of webpages, and propose a novel algorithm for a company acquisition relation extraction. Our algorithm considers the tense feature of Web content and classification technology of semantic strength when extracting company acquisition relation from webpages. It first determines the tense of each sentence in a webpage, where a CRF model is employed. Then, the tense of sentences is applied to sentences classification so as to evaluate the semantic strength of the candidate sentences in describing company acquisition relation. After that, we rank the candidate acquisition relations and return the top-k company acquisition relation. We run experiments on 6144 pages crawled through Google, and measure the performance of our algorithm under different metrics. The experimental results show that our algorithm is effective in determining the tense of sentences as well as the company acquisition relation.

The Management of Archeological Sites as Tourism Resources

2020 ◽  
pp. 821-838
Author(s):  
Nuria Huete-Alcocer ◽  
María Pilar Martínez-Ruiz ◽  
Víctor Raúl López-Ruiz ◽  
Alicia Izquierdo-Yusta
Keyword(s):  
Economic Development ◽  
Information Sources ◽  
Cultural Tourism ◽  
Tourism Management ◽  
Socio Economic Development ◽  
Tourism Resource ◽  
Tourism Resources ◽  
Management Recommendations ◽  
Role Of Information

This article aims to study the potential of archeology as a tourism resource in the field of cultural tourism, given that good tourism management of archeological sites can attract a larger number of visitors and contribute to the socio-economic development of the areas involved. Specifically, it will examine the role of information sources in the management of such sites, focusing on the case of Segóbriga Archeological Park, Cuenca, Spain. Based on the analysis of the results obtained from surveys of tourists to this destination, this article makes a series of management recommendations concerning the importance of disseminating and promoting this type of tourism resource through various information sources.

scholarly journals The Event Book System: A Community-based Natural Resource Monitoring System from Namibia

2005 ◽  
Vol 14 (11) ◽  
pp. 2611-2631 ◽  
Author(s):  
Greg Stuart-Hill ◽  
Richard Diggle ◽  
Bevan Munali ◽  
Jo Tagg ◽  
David Ward
Keyword(s):  
Monitoring System ◽  
Natural Resource ◽  
Resource Monitoring ◽  
Community Based ◽  
System A ◽  
Natural Resource Monitoring

Analytical Model for the Deformation of Viscoelastic Non-Newtonian Drops Undergoing Secondary Atomization

2016 ◽  
Author(s):  
Sharon E. Snyder ◽  
Varun Kulkarni ◽  
Paul E. Sojka
Keyword(s):  
Analytical Model ◽  
Xanthan Gum ◽  
Experimental Results ◽  
Analytical Models ◽  
Drop Diameter ◽  
Droplet Deformation ◽  
Secondary Atomization ◽  
Starting Point ◽  
Breakup Model ◽  
Xanthan Gum Solution

While there is no single analytical model that accurately predicts all stages and modes of secondary atomization, many groups have developed models that predict deformation and oscillation of a single, isolated drop. The TAB (Taylor Analogy Breakup) model was chosen for this investigation, mainly due to its widespread use by Liu and Reitz [1], Hwang et al. [2], Tanner [3], and Lee and Reitz [4], among others. Since the TAB model is also the foundation for many other analytical models, it will also be used here as a starting point for the development of a viscoelastic non-Newtonian model to predict droplet deformed radii, droplet deformation time, and velocity at deformation time for viscoelastic xanthan gum - DI water solutions. Three additional improvements are made to this viscoelastic TAB model: the first is a change to a TAB coefficient; the second to the equation for the drag coefficient, and the third modification is to the breakup criterion. This model uses Carreau rheology and Zimm relaxation time. Non-dimensional drop diameter and initiation times are plotted against We; model results are compared to experimental results for a range of xanthan gum solution concentrations. Results show fair agreement between experimental results and model results for non-dimensional drop diameter, with the best match at low XG concentration and low-to-medium We (10–30). It was also noted that increased viscoelasticity seems to increase this drop diameter. Good agreement between experimental data and model results has been seen for initiation time, with increased viscoelasticity increasing this parameter as well.

Linear Two-Port Model of an Active Thermoplastic Composite Structure

2013 ◽  
Author(s):  
Anja Winkler ◽  
Uwe Marschner ◽  
Eric Starke ◽  
Niels Modler ◽  
Wolf-Joachim Fischer ◽  
...  
Keyword(s):  
Composite Structure ◽  
Manufacturing Process ◽  
Composite Structures ◽  
Matrix Material ◽  
Manufacturing Technology ◽  
Experimental Results ◽  
Thermoplastic Composite ◽  
Starting Point ◽  
Modal Behavior ◽  
Active Composite

This paper describes new active composite structures based on thermoplastic matrices which contain material homogeneous embedded piezoceramic modules. Starting point is the development of novel thermoplastic compatible piezoceramic modules, so called TPMs. By the utilization of the same matrix material for the composite structure and for the TPM carrier films, these modules afford an opportunity to become directly embedded into the component during its manufacturing process. In this context, the manufacturing technology of the TPMs and of the active composite structure is presented. Furthermore, selected test samples are investigated concerning their modal behavior. Based on the determined characteristics a linear two-port model is used for the reproduction of the experimental results.

Extracting Top-k Company Acquisition Relations From the Web

2017 ◽  
Vol 13 (4) ◽  
pp. 27-41 ◽  
Author(s):  
Jie Zhao ◽  
Jianfei Wang ◽  
Jia Yang ◽  
Peiquan Jin
Keyword(s):  
Rapid Development ◽  
Relation Extraction ◽  
Experimental Results ◽  
Competitive Intelligence ◽  
Web Pages ◽  
Web Content ◽  
Web Page ◽  
Competitive Strategies ◽  
The Web ◽  
Novel Algorithm

Company acquisition relation reflects a company's development intent and competitive strategies, which is an important type of enterprise competitive intelligence. In the traditional environment, the acquisition of competitive intelligence mainly relies on newspapers, internal reports, and so on, but the rapid development of the Web introduces a new way to extract company acquisition relation. In this paper, the authors study the problem of extracting company acquisition relation from huge amounts of Web pages, and propose a novel algorithm for company acquisition relation extraction. The authors' algorithm considers the tense feature of Web content and classification technology of semantic strength when extracting company acquisition relation from Web pages. It first determines the tense of each sentence in a Web page, which is then applied in sentences classification so as to evaluate the semantic strength of the candidate sentences in describing company acquisition relation. After that, the authors rank the candidate acquisition relations and return the top-k company acquisition relation. They run experiments on 6144 pages crawled through Google, and measure the performance of their algorithm under different metrics. The experimental results show that the algorithm is effective in determining the tense of sentences as well as the company acquisition relation.

How is Intangible Cultural Heritage Valued in the Eyes of Inheritors? Scale Development and Validation

2020 ◽  
Vol 44 (5) ◽  
pp. 806-834 ◽  
Author(s):  
Xinwei Su ◽  
Xi Li ◽  
Yanbin Wu ◽  
Limei Yao
Keyword(s):  
Cultural Heritage ◽  
Reliability And Validity ◽  
Intangible Cultural Heritage ◽  
The Sustainable Development ◽  
Scale Development And Validation ◽  
Starting Point ◽  
Tourism Resource ◽  
Potential Applications ◽  
Resource Type ◽  
Development And Validation

Intangible cultural heritage (ICH) is an important part of human civilization and a major tourism resource type. In the ICH tourism development process, many stakeholders are involved. Although inheritors have a core position in this group, there is not enough research investigating the sustainable development of ICH tourism from the perspective of inheritors. Since value cognition is the basis that guides people’s behaviors, the value cognition of the ICH inheritors might be the starting point to understanding their behaviors. Considering this context, the main aim of this research is to describe the development and validation of a scale to assess the cognition values by ICH inheritors. By generating items, purifying, examining the scale’s dimensionality, and evaluating reliability and validity, a 25-item instrument is developed. The article concludes with a discussion of potential applications of the scale.

Web Form Entrance Detection and Automatic Form Filling

2013 ◽  
Vol 380-384 ◽  
pp. 2712-2715
Author(s):  
Wen Qian Shang
Keyword(s):  
Research Area ◽  
Deep Web ◽  
Experimental Results ◽  
Web Pages ◽  
Information Mining ◽  
Form Analysis ◽  
Entire Process ◽  
Web Information

At present, deep web information mining is a considerably potential research area. How to get this massive and valuable information hidden after the database is need to be studied further. So this paper presents an approach that includes web pages analysis, getting forms, form analysis, automatic form filling, automatic form submission and acquiring returning pages. The aim is to let the computer automatically complete this process. The experimental results show the feasibility of this method. It can automatically complete the entire process.

Sign in / Sign up

Export Citation Format

Share Document