scholarly journals Performance of Sustainable Development and Technological Innovation Based on Green Manufacturing Technology of Artificial Intelligence and Block Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiangyu Jiang ◽  
Gu-Hong Lin ◽  
Jui-Chan Huang ◽  
I-Hsiang Hu ◽  
Yen-Chun Chiu
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Manufacturing Industry ◽  
Technology Innovation ◽  
Green Manufacturing ◽  
Green Technology ◽  
Manufacturing Technology ◽  
The Sustainable Development ◽  
Blockchain Technology ◽  
Green Manufacturing Technology

The powerful advanced manufacturing industry is the most powerful driving force for economic development and growth, and it is also the main source of environmental pollution. Artificial intelligence and blockchain technology are recognized as a breakthrough technology that can be widely used, changing the way the entire society and economy operate. The main constraints affecting the sustainable development of the manufacturing industry are ecological deterioration and resource shortage, but the development of artificial intelligence and blockchain technology provides new ideas for solving manufacturing problems. Based on this, this paper proposes a research on the sustainable development performance of green manufacturing technology innovation based on artificial intelligence and blockchain technology. This paper deeply grasps the essence and connotation of artificial intelligence and blockchain technology, analyzes its specific application form and research background, searches for the effective effect of manufacturing technology innovation and green manufacturing performance path, and clarifies the mechanism between the two. All measurement items in the questionnaire used in this article use Likert5 scale and use 1–5 options to indicate the degree of conformity with the actual situation of the enterprise. The results show that the average green manufacturing capacity of each measurement item is between 3.18∼3.97, indicating that the company's green manufacturing capacity is relatively high. Among them, the ability of green technology innovation is relatively high, indicating that most companies have noticed that the improvement of the ability of green technology innovation plays a vital role in the future sustainable development of enterprises. Moreover, more and more companies are paying attention to the latest applications of blockchain technology, which can effectively promote the development of enterprises.

Green Manufacturing is the only Way to the Sustainable Development

2011 ◽  
Vol 230-232 ◽  
pp. 1332-1334
Author(s):  
Bao Jun Zhi
Keyword(s):  
Sustainable Development ◽  
Environmental Impact ◽  
Green Manufacturing ◽  
Manufacturing Technology ◽  
The Sustainable Development ◽  
Green Manufacturing Technology ◽  
Technology Trends

This paper presents the environmental impact of manufacturing in several important aspects. Resume green manufacturing is the only way to sustainable development and green manufacturing technology trends and prospects.

Green Manufacturing Technology of Manufacturing Industry Sustainable Development

2013 ◽  
Vol 753-755 ◽  
pp. 1343-1346
Author(s):  
An Wang ◽  
Xiang Qing Zhang
Keyword(s):  
Sustainable Development ◽  
Manufacturing Industry ◽  
Green Manufacturing ◽  
Manufacturing Technology ◽  
Key Technologies ◽  
Green Manufacturing Technology

Green manufacturing is the only way to realize manufacturing industry sustainable development. This paper discusses the definition and the key technologies of green manufacturing, analyzes the relation of green manufacturing and manufacturing industry sustainable development, and puts forwards strategies of developing green manufacturing.

scholarly journals Mechanisms of Environmental Regulation’s Impact on Green Technological Progress—Evidence from China’s Manufacturing Sector

2021 ◽  
Vol 13 (4) ◽  
pp. 1600
Author(s):  
Weijiang Liu ◽  
Mingze Du ◽  
Yuxin Bai
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Technological Change ◽  
Environmental Protection ◽  
Technological Progress ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
The Sustainable Development ◽  
Biased Technological Change ◽  
Chinese Manufacturing Industry

As the world’s largest developing country, and as the home to many of the world’s factories, China plays a crucial role in the sustainable development of the world economy regarding environmental protection, energy conservation, and emission reduction issues. Based on the data from 2003–2015, this paper examined the green total factor productivity and the technological progress in the Chinese manufacturing industry. A slack-based measure (SBM) Malmquist productivity index was used to measure the bias of technological change (BTC), input-biased technological change (IBTC), and output-biased technological change (OBTC) by decomposing the technological progress. It also investigated the mechanism of environmental regulation, property right structure, enterprise-scale, energy consumption structure, and other factors on China’s technological progress bias. The empirical results showed the following: (1) there was a bias of technological progress in the Chinese manufacturing industry during the research period; (2) although China’s manufacturing industry’s output tended to become greener, it was still characterized by a preference for overall CO2 output; and (3) the impact of environmental regulations on the Chinese manufacturing industry’s technological progress had a significant threshold effect. The flexible control of environmental regulatory strength will benefit the Chinese manufacturing industry’s technological development. (4) R&D investment, export delivery value, and structure of energy consumption significantly contributed to promoting technological progress. This study provides further insight into the sustainable development of China’s manufacturing sector to promote green-biased technological progress and to achieve the dual goal of environmental protection and healthy economic growth.

scholarly journals Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2882
Author(s):  
Thi Thu Em Vo ◽  
Hyeyoung Ko ◽  
Jun-Ho Huh ◽  
Yonghoon Kim
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Sustainable Development ◽  
Species Classification ◽  
The Sustainable Development ◽  
Aquaculture System ◽  
Aquaculture Industry ◽  
Intelligent Technology ◽  
Applications Of Machine Learning ◽  
Aquaculture Production

Smart aquaculture is nowadays one of the sustainable development trends for the aquaculture industry in intelligence and automation. Modern intelligent technologies have brought huge benefits to many fields including aquaculture to reduce labor, enhance aquaculture production, and be friendly to the environment. Machine learning is a subdivision of artificial intelligence (AI) by using trained algorithm models to recognize and learn traits from the data it watches. To date, there are several studies about applications of machine learning for smart aquaculture including measuring size, weight, grading, disease detection, and species classification. This review provides and overview of the development of smart aquaculture and intelligent technology. We summarized and collected 100 articles about machine learning in smart aquaculture from nearly 10 years about the methodology, results as well as the recent technology that should be used for development of smart aquaculture. We hope that this review will give readers interested in this field useful information.

scholarly journals Education of Future Green Engineers for Achieving Sustainable Development in Green Manufacturing Industry

2021 ◽  
Vol 11 (5) ◽  
pp. 138
Author(s):  
Vladimir Alexandrovich Kirik ◽  
Shanyi Cheng ◽  
Natalia Ivanovna Vyunova ◽  
Olga Vladimirovna Galustyan ◽  
Saida Sosoevna Gamisonija ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Manufacturing Industry ◽  
Teaching Practice ◽  
Green Manufacturing ◽  
Teaching Staff ◽  
Practical Training ◽  
Green Engineering ◽  
Teaching Mode ◽  
Teaching Goals ◽  
Teaching Content

The article is devoted to education of future green engineers for achieving sustainable development in green manufacturing industry. It outlines that green engineering is an important industry which aim is to reduce consumption, to save resources, and to achieve sustainable development in manufacturing. Green manufacturing puts forward new requirements for the training future green engineers. The article reveals the concepts of educating future green engineers. Specifical attention is paid to the improvement of the teaching system training of future green engineers, strengthening the teaching staff, changing the teaching mode, strengthening teaching practice and practical training for achieving teaching goals. The authors conclude that it is necessary to clarify the goals of training of future green engineers, and to establish reform the teaching content of green engineering course.

scholarly journals Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation

2020 ◽  
Vol 17 (9) ◽  
pp. 3211 ◽  
Author(s):  
Shi Yin ◽  
Nan Zhang ◽  
Baizhou Li
Keyword(s):  
Manufacturing System ◽  
Technology Innovation ◽  
Green Manufacturing ◽  
Green Technology ◽  
Innovation Performance ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Manufacturing Enterprises ◽  
Multi Agent ◽  
Agent Cooperation

A green manufacturing system is an important tool to realize green transformation of the manufacturing industry. The systematicness of green technology innovation as the key foundation of green manufacturing supports the entire huge green manufacturing system. In order to improve the effectiveness of multi-agent cooperation, it is necessary to analyze a series of green technology innovation achievements of manufacturing enterprises under multi-agent cooperation. First of all, inter-indicator correlation analysis and exploratory factor analysis were used to construct the evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation. Then, a secondary combined evaluation model was constructed based on the evaluation conclusions. Finally, a theoretical framework was constructed to measure the performance of the green technology innovation of manufacturing enterprises under multi-agent cooperation. The results of this study are as follows: The evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation is composed of the technology output, economic output, and social effect of green technology innovation. The key factors that influence the green technology innovation performance of manufacturing enterprises under multi-agent cooperation are the proportion of green technology transformation in traditional technology, the number of papers published jointly by multi-agent cooperation, the user acceptance of green technology products, and the degree of improvement of public environmental preference and consciousness. A fusion of technology of subjective and objective methods is an effective evaluation technique and can be applied to evaluate the performance of green technology innovation. The secondary combined evaluation combines the evaluation conclusions obtained by each single evaluation method in a certain form.

scholarly journals Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligence and Regression Analysis

2020 ◽  
Vol 12 (6) ◽  
pp. 2427 ◽  
Author(s):  
Behrouz Pirouz ◽  
Sina Shaffiee Haghshenas ◽  
Sami Shaffiee Haghshenas ◽  
Patrizia Piro
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Relative Humidity ◽  
Development Process ◽  
Binary Classification ◽  
Daily Temperature ◽  
Maximum Daily Temperature ◽  
The Sustainable Development ◽  
Epidemic Diseases

Nowadays, sustainable development is considered a key concept and solution in creating a promising and prosperous future for human societies. Nevertheless, there are some predicted and unpredicted problems that epidemic diseases are real and complex problems. Hence, in this research work, a serious challenge in the sustainable development process was investigated using the classification of confirmed cases of COVID-19 (new version of Coronavirus) as one of the epidemic diseases. Hence, binary classification modeling was used by the group method of data handling (GMDH) type of neural network as one of the artificial intelligence methods. For this purpose, the Hubei province in China was selected as a case study to construct the proposed model, and some important factors, namely maximum, minimum, and average daily temperature, the density of a city, relative humidity, and wind speed, were considered as the input dataset, and the number of confirmed cases was selected as the output dataset for 30 days. The proposed binary classification model provides higher performance capacity in predicting the confirmed cases. In addition, regression analysis has been done and the trend of confirmed cases compared with the fluctuations of daily weather parameters (wind, humidity, and average temperature). The results demonstrated that the relative humidity and maximum daily temperature had the highest impact on the confirmed cases. The relative humidity in the main case study, with an average of 77.9%, affected positively, and maximum daily temperature, with an average of 15.4 °C, affected negatively, the confirmed cases.

scholarly journals Sustainable Development of New Urbanization from the Perspective of Coordination: A New Complex System of Urbanization‒Technology Innovation and the Atmospheric Environment

Atmosphere ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 652 ◽  
Author(s):  
Bin Jiang ◽  
Lei Ding ◽  
Xuejuan Fang
Keyword(s):  
Sustainable Development ◽  
Technology Innovation ◽  
Strategic Decision ◽  
Atmospheric Environment ◽  
Entropy Weight ◽  
Coordinated Development ◽  
The Sustainable Development ◽  
New Type ◽  
Urbanization In China ◽  
Coordination Degree

Exploring the coordinated development of urbanization (U), technology innovation (T), and the atmospheric environment (A) is an important way to realize the sustainable development of new-type urbanization in China. Compared with existing research, we developed an integrated index system that accurately represents the overall effect of the three subsystems of UTA, and a new weight determination method, the structure entropy weight (SEW), was introduced. Then, we constructed a coordinated development index (CDI) of UTA to measure the level of sustainability of new-type urbanization. This study also analyzed trends observed in UTA for 11 cities in Zhejiang Province of China, using statistical panel data collected from 2006 to 2017. The results showed that: (1) urbanization efficiency, the benefits of technological innovation, and air quality weigh the most in the indicator systems, which indicates that they are key factors in the behavior of UTA. The subsystem scores of the 11 cities show regional differences to some extent. (2) Comparing the coordination level of UTA subsystems, we found that the order is: coordination degree of UT > coordination degree of UA > coordination degree of TA. This suggests that the atmospheric environment system improvement is an important strategic decision for sustainable urbanization in Zhejiang. (3) The UTACDI values of the 11 cities are not high enough, as the coordination is mainly low, basic, or good, while none of the cities reached the stage of excellent coordination. (4) Gray Model (1,1) revealed that the time taking to achieve excellent coordination varies for different cities. Hangzhou and Ningbo were predicted to reach the excellent coordination level in 2018. Other cities are predicted to take 2–4 years to adjust their urbanization strategies enough to be considered to have excellent coordination of their UTA system.

scholarly journals A Study on the Sustainable Development of NPOs with Blockchain Technology

2020 ◽  
Vol 12 (15) ◽  
pp. 6158 ◽  
Author(s):  
Eun-Jung Shin ◽  
Hyoung-Goo Kang ◽  
Kyounghun Bae
Keyword(s):  
Sustainable Development ◽  
Case Studies ◽  
Lower Cost ◽  
Good Governance ◽  
Governance Structure ◽  
Development Strategies ◽  
The Sustainable Development ◽  
Non Profit ◽  
Building Trust ◽  
Blockchain Technology

This study investigated the application of a blockchain for promoting the sustainable development of non-profit organizations (NPOs). Transparency and good governance are important for operating NPOs in addition to building trust with relevant stakeholders. NPOs consume a large amount of resources (including funds) to monitor their operations and present their transparency and soundness of governance to interested stakeholders. Blockchain technology can fulfill an NPO’s requirements at a lower cost and with a higher efficiency. We reviewed the existing research on NPO governance and blockchain applications. In addition, through case studies, we identified sustainable development strategies for NPOs involving blockchain technologies to increase donation, reduce cost, enhance transparency, and improve governance structure.

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