scholarly journals Sustainable Development Based on Green GDP Accounting and Cloud Computing: A Case Study of Zhejiang Province

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Shanzhong Qi ◽  
Zhilei Huang ◽  
Lina Ji
Keyword(s):  
Sustainable Development ◽  
Cloud Computing ◽  
Natural Resources ◽  
Large Scale ◽  
Rapid Development ◽  
Zhejiang Province ◽  
Accounting System ◽  
Upward Trend ◽  
Green Gdp ◽  
Secondary Industry

Cloud computing is a supercomputing that integrates large-scale and scalable computing, storage, data, applications, and other distributed computing resources for collaborative work in the form of virtualization technology as the basis and the network as the carrier to provide infrastructure, platform, software, and other service’s model. Green GDP (GGDP) is an assessment indicator for regional sustainable development. Hence, the evaluation index on GGDP and greening of the national economic accounting system (SNA) are the hotspots of current ecological and economic studies. In the recent years, Zhejiang’s economy has achieved rapid development, and there are also problems of high input and high consumption of natural resources, thereby restricting its sustainable development. Based on the statistical data of Zhejiang Province during 2000–2017, the GGDP within the sustainable development context is calculated using the system of integrated environmental and economic accounting (SEEA). The results indicated the following: (1) The GGDP accounted for 79.29%–96.78% of Zhejiang's GDP during the study period, which showed volatility upward trend, resulting from the significant environmental protection and conservation of natural resources in the study area. But economic development was heavily dependent on resources, and the local government still strengthened the work of improving resources and environment. (2) The proportion of secondary industry in Zhejiang Province fluctuated downwards during the period of 2000–2017, and the tertiary industry showed a volatility upward trend, which exceeded the proportion of the secondary industry, indicating that Zhejiang Province is from an industry-led economy to a service-oriented economy change. (3) The GGDP of Zhejiang Province accounted for the highest proportion of GDP in 2008, resulting from the result of a combination of relevant national policies and international competitions.

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.

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 Green GDP and Sustainable Development in Malaysia

2015 ◽  
Vol 10 (1) ◽  
pp. 01-08 ◽  
Author(s):  
Negin Vaghefi ◽  
Chamhuri Siwar ◽  
Sarah Aziz
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Natural Resources ◽  
Sustainable Growth ◽  
Growth Path ◽  
Policy Makers ◽  
Economic Growth And Development ◽  
Green Gdp ◽  
The World

Sustainability has become an important concept in economic growth and development in the world. Malaysia, as a rapidly developing economy in Asia, has been able to achieve a positive economic growth; however, there is a big question: is it on a sustainable growth path? Due to weaknesses of traditional GDP in reflecting sustainability path, Green GDP as an indicator of sustainability could be implemented with adjustments in calculations. This paper aims to calculate the Green GDP for Malaysia. This measure will almost give policy makers a more arguable estimate for the area of environmental challenges. This paper highlights the role of natural resources depletion and environmental damages in sustainable development of the country. Green GDP is associated with some uncertainties such as lack of comprehensive calculations in estimating data and difficulties in setting the price of natural resources. These uncertainties and how Malaysia would be able to implement more accurate Green GDP in future were also discussed.

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 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/

Information Technology Resources Virtualization for Sustainable Development

2013 ◽  
pp. 248-262
Author(s):  
Malgorzata Pankowska
Keyword(s):  
Information Technology ◽  
Sustainable Development ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Natural Resources ◽  
Sustainable Use ◽  
Environmental Responsibility ◽  
Business Organizations ◽  
Renewable Natural Resources ◽  
Technology Resources

Today, business organizations seem to be involved in the processes of sustainable development. Therefore, not only economic indicators of performance are considered but also the environmental responsibility is equally important. The environmental responsibility covers social responsibility and natural environment responsibility. The latter demands taking into account promotion of sustainable use of renewable natural resources, reducing the emissions and wastages, decrease of energy consumption. The first part of the paper includes presentation of benefits resulting from IT (Information Technology) resources virtualization, grid computing and cloud computing development. The second part contains a model of IT governance for sustainability.

scholarly journals Assure deletion supporting dynamic insertion for outsourced data in cloud computing

2020 ◽  
Vol 16 (9) ◽  
pp. 155014772095829
Author(s):  
Changsong Yang ◽  
Yueling Liu ◽  
Xiaoling Tao
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Large Scale ◽  
High Efficiency ◽  
Rapid Development ◽  
Data Set ◽  
Outsourced Data ◽  
Data Owner ◽  
Cloud Storage Service ◽  
Cloud Server

With the rapid development of cloud computing, an increasing number of data owners are willing to employ cloud storage service. In cloud storage, the resource-constraint data owners can outsource their large-scale data to the remote cloud server, by which they can greatly reduce local storage overhead and computation cost. Despite plenty of attractive advantages, cloud storage inevitably suffers from some new security challenges due to the separation of outsourced data ownership and its management, such as secure data insertion and deletion. The cloud server may maliciously reserve some data copies and return a wrong deletion result to cheat the data owner. Moreover, it is very difficult for the data owner to securely insert some new data blocks into the outsourced data set. To solve the above two problems, we adopt the primitive of Merkle sum hash tree to design a novel publicly verifiable cloud data deletion scheme, which can also simultaneously achieve provable data storage and dynamic data insertion. Moreover, an interesting property of our proposed scheme is that it can satisfy private and public verifiability without requiring any trusted third party. Furthermore, we formally prove that our proposed scheme not only can achieve the desired security properties, but also can realize the high efficiency and practicality.

scholarly journals Challanges of sustainable food technology

2020 ◽  
Vol 14 (1) ◽  
pp. 118-129 ◽  
Author(s):  
Anita Tolnay ◽  
Arijit Nath ◽  
Andras Koris
Keyword(s):  
Sustainable Development ◽  
Natural Resources ◽  
Food Waste ◽  
Food Production ◽  
Rapid Development ◽  
Human Beings ◽  
Scientific Publications ◽  
Sustainable Food ◽  
Sustainable Food Production ◽  
The World

Over the last decades due to rapid development of human civilization along with revolution in technology, some burning issues about generation of environmental contaminant, management of by-products from technologies, high consumption of natural resources and conservation of natural resources have been dramatically raised. Without any contradiction, impacts in overall ecosystem as well as human civilization have negative effects. These evoked lots of scientific and industrial researches, and implemented several stricter environmental legislations on the development of sustainable ecosystem. Thus, sustainability has become an emerging topic all over the world, as evidenced by the growing body of scientific publications in the last 20 years with one order of magnitude increase since the start of the new century. The study attempts to perform a review ty is an emerging topic all over the world of the sustainable development from the food industry’s perspective. At present, the agro-food sector produces high amount of carbon dioxide, food waste, packaging waste, wastewater, etc. and it is still consuming a lot of water, land, oxygen and energy. Furthermore, taken into consideration the increasing number of the world’s population, there has been an enhancing interest experienced towards sustainable development among food manufacturers in the last decades. The article highlights the paramount areas of sustainable production, which offers new directions towards the increasing number of human beings for the future survival. The paper also gives an overview of the main perspectives contra constraints of sustainable food production, offers innovative food products from sustainable food waste and by-product, and focuses on the growing importance of sustainable food production in life cycle assessment methodology as well.

scholarly journals SPECIAL FEATURES OF MANAGEMENT OF THE COASTAL AREA DEVELOPMENT: FOREIGN EXPERIENCE

2017 ◽  
Vol 21 (6) ◽  
pp. 103-111
Author(s):  
E. S. Arumova ◽  
M. A. Bitarova
Keyword(s):  
Sustainable Development ◽  
Natural Resources ◽  
Environmental Protection ◽  
Coastal Area ◽  
Rapid Development ◽  
Integrated Approach ◽  
Coastal Areas ◽  
Economic Activities ◽  
Foreign Experience ◽  
Economic Nature

Due to their natural resources the coastal areas are one of the most populated and exploited places on earth. Economic activities are carried out in such areas most actively, as they have a special appeal for humans. The advantages of coastal areas provide an opportunity to implement a variety of economic activities, and also determine their potential for development. However, active economic activities in coastal areas, in most cases, contribute to environmental degradation and leads to depletion of natural resources, and as a result, may cause a loss of the capacity for sustainable development of coastal areas. In this regard, it is these territories that have the most acute environmental protection issues, as a result of man-induced impact on coastal areas. The given paper considers foreign experience of management of coastal areas development through an integrated approach which is the main vector of the territory development. The studied foreign experience revealed that an integrated approach to coastal area management as a tool for sustainable development can change the attitude of people to the environmental problem, as the balance between tourism and environmental protection promotes the conservation of natural resources. At present, problems arising from the rapid development of economic activities in coastal areas, faced by management structures at all levels require timely decisions based on the concept of sustainable development. In this study, the authors found out that one of the factors of sustainable development of coastal areas is an ecological and social development, which is seen as closely interrelated aspects, not as separate directions of sustainable development. Currently, you need to create a management system for coastal territories, based on continuous planning and monitoring with regard to the specific features and problems of natural, human and socio-economic nature of such areas.

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