scholarly journals Recreational Value Assessment of Urban Productive Landscape of Baguatian in Hangzhou Based on Contingent Valuation Method (CVM) and Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jian-Guo Zhang ◽  
Jian Jiang ◽  
Rui Zhang
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Contingent Valuation Method ◽  
Rapid Development ◽  
Value Assessment ◽  
Recreational Value ◽  
Valuation Method ◽  
Educational Degree ◽  
Occupational Background ◽  
Productive Landscapes

Cloud computing has achieved rapid development in recent years, and the use of cloud platforms to carry various large-scale services has become the general trend of the development of the information industry. This study investigates WTP of Hangzhou residents for the recreational value of Baguatian productive landscapes based on CVM and cloud computing. In this study, we did the related analysis on the social and economic characteristics and WTP of interviewees and made the monetization assessment about the recreational value of its urban productive landscapes. The result shows 62.1% of interviewees have WTP and the average payment intention (WTP) is $40.74 per year. Besides, the total recreational value of Hangzhou Baguatian productive landscapes is 354 million yuan; the relatively accepted payment mode is tax-paying and cash payment; the educational degree, occupational background, and income are the main factors influencing the tourists’ WTP and the correlation between interviewees’ origin, permanent residence, and WTP is not apparent.

scholarly journals Cloud-based intelligent self-diagnosis and department recommendation service using Chinese medical BERT

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Junshu Wang ◽  
Guoming Zhang ◽  
Wei Wang ◽  
Ka Zhang ◽  
Yehua Sheng
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Medical Service ◽  
Rapid Development ◽  
Medical Knowledge ◽  
Language Models ◽  
Computing Environment ◽  
Computing Power ◽  
Cloud Computing Environment ◽  
Proposed Model

AbstractWith the rapid development of hospital informatization and Internet medical service in recent years, most hospitals have launched online hospital appointment registration systems to remove patient queues and improve the efficiency of medical services. However, most of the patients lack professional medical knowledge and have no idea of how to choose department when registering. To instruct the patients to seek medical care and register effectively, we proposed CIDRS, an intelligent self-diagnosis and department recommendation framework based on Chinese medical Bidirectional Encoder Representations from Transformers (BERT) in the cloud computing environment. We also established a Chinese BERT model (CHMBERT) trained on a large-scale Chinese medical text corpus. This model was used to optimize self-diagnosis and department recommendation tasks. To solve the limited computing power of terminals, we deployed the proposed framework in a cloud computing environment based on container and micro-service technologies. Real-world medical datasets from hospitals were used in the experiments, and results showed that the proposed model was superior to the traditional deep learning models and other pre-trained language models in terms of performance.

scholarly journals Willingness to Pay for Enhanced Water Security in a Rapidly Developing Shale Gas Region in China

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1888 ◽  
Author(s):  
Danlu Jiang ◽  
Dong Bai ◽  
Zhaowei Yin ◽  
Gongyuan Fan
Keyword(s):  
Willingness To Pay ◽  
Shale Gas ◽  
Household Income ◽  
Contingent Valuation Method ◽  
Rapid Development ◽  
Primary Source ◽  
Water Security ◽  
Gas Field ◽  
Valuation Method ◽  
Need To Evaluate

With the rapid development of shale gas exploration (SGE) in China, there is an urgent need to evaluate the public’s preferences with respect to the environmental risks that go along with the exploration, which have not yet been studied in the literature. This study aims to estimate local residents’ willingness to pay (WTP) for a water security-enhanced scenario in the Fuling shale gas field, Chongqing, China. Using the double-bounded contingent valuation method, we estimate that the annual mean WTP is 32.655 Chinese yuan per year per household, which accounts for 3.80% of the basic household gas bill. The results also show that WTP is significantly influenced by the socio-economic characteristics of the respondents, including the age of the respondent, household location, household income, and primary source of household income. Moreover, the respondents’ satisfaction with respect to the environmental impacts caused by SGE also has negative influences on the WTP. Thus, our analysis estimates the affected public’s benefits during SGE and provides insight into the relevant policymaking process.

The Application Research of Contingent Valuation Method in Urban Park

2013 ◽  
Vol 448-453 ◽  
pp. 4150-4153
Author(s):  
Ying Chun Hu
Keyword(s):  
Resource Management ◽  
Contingent Valuation ◽  
Contingent Valuation Method ◽  
Economic Value ◽  
Urban Park ◽  
Application Research ◽  
Value Analysis ◽  
Recreational Activities ◽  
Recreational Value ◽  
Valuation Method

This paper applied Contingent Valuation Method (CVM) to estimate the recreational value of Urban Park— “219 park”. The economic value analysis of recreational activities will technically enrich the connotation of part management, which can benefit the transition of recreational activities and resource management from extensive to intensive; by compared the two results, it will also provide a important references on rules and measures for government and relevant authorities.

Task Scheduling of Cloud Computing in Weapon Network System

2014 ◽  
Vol 610 ◽  
pp. 695-698
Author(s):  
Qian Tao ◽  
Bo Pan ◽  
Wen Quan Cui
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Evaluation System ◽  
Large Scale ◽  
Rapid Development ◽  
It Industry ◽  
Control Scheme ◽  
Tasks Scheduling ◽  
Constant Bandwidth

In recent years, the rapid development of cloud computing brings significant innovation in the whole IT industry. For the local tasks scheduling on each computational node of the top model of weapon network, an open task scheduling framework was introduced a task accept control scheme based on the tasks based on load balancing, quality of service (QoS) and an improved constant bandwidth server algorithm was presented. The result of simulation shows that the scheduling policies can improve the schedule speed when the number of tasks increases and can meet the demand better for the real time requirementsof the tactical training evaluation system for complexity and Large-scale.

scholarly journals A Cuckoo Search Based Heuristic for Replicating IoT Data in Cloud Edge System

2020 ◽  
Vol 8 (4S5) ◽  
pp. 227-235
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Radio Frequency Identification ◽  
Cloud Storage ◽  
Large Scale ◽  
Rapid Development ◽  
Storage System ◽  
Cuckoo Search ◽  
Data Volume ◽  
High Degree

The rapid development in information technology has rendered an increase in the data volume at a speed which is surprising. In recent times, cloud computing and the Internet of Things (IoT) have become the hottest among the topics in the industry of information technology. There are many advantages to Cloud computing such as scalability, low price, and large scale and the primary technique of the IoTs like the Radio-Frequency Identification (RFID) have been applied to a large scale. In the recent times, the users of cloud storage have been increasing to a great extent and the reason behind this was the cloud storage system bringing down the issues in maintenance and also has a low amount of storage when compared to other methods. This system provides a high degree of reliability and availability where redundancy is introduced to the systems. In the replicated systems, objects get to be copied many times and every copy resides in a different location found in distributed computing. So, replication of data has been posing some threat to the cloud storage for users and also for the providers since it has been a major challenge providing efficient storage of data. So, the work has been analysing different strategies of replication of data and have pointed out several issues that are affected by this. For the purpose of this work, replication of data has been presented by employing the Cuckoo Search (CS) and the Greedy Search. The research is proceeding in a direction to reduce the replications without any adverse effect on the reliability and the availability of data.

scholarly journals MS-PyCloud: An open-source, cloud computing-based pipeline for LC-MS/MS data analysis

2018 ◽  
Author(s):  
Li Chen ◽  
Bai Zhang ◽  
Michael Schnaubelt ◽  
Punit Shah ◽  
Paul Aiyetan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Analysis ◽  
Open Source ◽  
High Performance ◽  
Large Scale ◽  
Rapid Development ◽  
Data File ◽  
Data Sets ◽  
Proteomics Data ◽  
Amazon Web Services

ABSTRACTRapid development and wide adoption of mass spectrometry-based proteomics technologies have empowered scientists to study proteins and their modifications in complex samples on a large scale. This progress has also created unprecedented challenges for individual labs to store, manage and analyze proteomics data, both in the cost for proprietary software and high-performance computing, and the long processing time that discourages on-the-fly changes of data processing settings required in explorative and discovery analysis. We developed an open-source, cloud computing-based pipeline, MS-PyCloud, with graphical user interface (GUI) support, for LC-MS/MS data analysis. The major components of this pipeline include data file integrity validation, MS/MS database search for spectral assignment, false discovery rate estimation, protein inference, determination of protein post-translation modifications, and quantitation of specific (modified) peptides and proteins. To ensure the transparency and reproducibility of data analysis, MS-PyCloud includes open source software tools with comprehensive testing and versioning for spectrum assignments. Leveraging public cloud computing infrastructure via Amazon Web Services (AWS), MS-PyCloud scales seamlessly based on analysis demand to achieve fast and efficient performance. Application of the pipeline to the analysis of large-scale iTRAQ/TMT LC-MS/MS data sets demonstrated the effectiveness and high performance of MS-PyCloud. The software can be downloaded at: https://bitbucket.org/mschnau/ms-pycloud/downloads/

scholarly journals Mapping the Recreational Value of Coppices’ Management Systems in Tuscany

2020 ◽  
Vol 12 (19) ◽  
pp. 8039
Author(s):  
Francesco Riccioli ◽  
Roberto Fratini ◽  
Claudio Fagarazzi ◽  
Mario Cozzi ◽  
Mauro Viccaro ◽  
...  
Keyword(s):  
Sustainable Forest Management ◽  
Contingent Valuation Method ◽  
Economic Value ◽  
Management Systems ◽  
Management Approach ◽  
Natural Evolution ◽  
Recreational Value ◽  
Valuation Method ◽  
Forested Areas ◽  
Forest Users

In recent decades the growing interest in forested areas has led to a higher level of appreciation and consideration regarding the various benefits and services provided by forests. Despite this, when it comes to acknowledging their economic value and their capacity to produce income, the production of timber seems to be the main or even the only function that is considered. However, by adopting a sustainable forest management approach, the value related to non-market forest functions could also be considered. The present paper aims to quantify the potential income related to the recreational value of coppice forest by considering three different management systems: traditional coppice, active conversion to high forest and the natural evolution of forest. In order to do so, a contingent valuation method was used, and 248 forest users were surveyed in the region of Tuscany, Italy. The surveys included a revised price-list method, and the results obtained showed the existence of willingness to pay (WTP) for the maintenance of forests. Users showed a strong preference for conversion to high forest, while natural evolution was the least preferred management option. People’s perception on this matter was also assessed based on their specific location, by georeferencing all of the respondents’ answers: considering this, it was observed that belonging to a municipality located in or close to the mountains (i.e., mountain and natural municipalities) influenced the users’ WTP to maintain natural evolution.

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