scholarly journals Regional Manufacturing Industry Demand Forecasting: A Deep Learning Approach

2021 ◽  
Vol 11 (13) ◽  
pp. 6199
Author(s):  
Zixin Dou ◽  
Yanming Sun ◽  
Yuan Zhang ◽  
Tao Wang ◽  
Chuliang Wu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Development Strategy ◽  
Manufacturing Industry ◽  
Rapid Development ◽  
Demand Forecasting ◽  
Accurate Method ◽  
Environmental Complexity ◽  
The Sustainable Development ◽  
The Development Strategy ◽  
Deep Learning Model

With the rapid development of the manufacturing industry, demand forecasting has been important. In view of this, considering the influence of environmental complexity and diversity, this study aims to find a more accurate method to forecast manufacturing industry demand. On this basis, this paper utilizes a deep learning model for training and makes a comparative study through other models. The results show that: (1) the performance of deep learning is better than other methods; by comparing the results, the reliability of this study is verified. (2) Although the prediction based on the historical data of manufacturing demand alone is successful, the accuracy of the prediction results is significantly lower than when taking into account multiple factors. According to these results, we put forward the development strategy of the manufacturing industry in Guangdong. This will help promote the sustainable development of the manufacturing industry.

scholarly journals Research on Construction and Application of Virtual Simulation Experimental Teaching Platform for Economic and Management Majors

2020 ◽  
Vol 9 (6) ◽  
pp. 142
Author(s):  
Dawei Zhang ◽  
Yong Wan
Keyword(s):  
Development Strategy ◽  
Simulation Experiment ◽  
Rapid Development ◽  
Virtual Simulation ◽  
Education Management ◽  
Teaching Platform ◽  
Experimental Teaching ◽  
The Development Strategy ◽  
Theoretical Significance ◽  
Individual Professional

With the rapid development of information technology, the country puts forward the development strategy of informatization, which requires the education field to be able to carry out the informatization construction of education management. As an important part of the information management of universities, the virtual simulation experiment teaching platform has practical and theoretical significance in the construction and application of individual professional virtual simulation experiment teaching. Based on the background, this paper takes the Economic and Management majors as the example to analyze the necessity of the construction and application of virtual simulation experiment teaching platform, and proposes the construction method and specific application status of virtual simulation experiment teaching platform, to carry out effective research on virtual simulation experiment teaching of economic and management.

Medical Image Classification based on an Adaptive Size Deep Learning Model

2021 ◽  
Vol 17 (3s) ◽  
pp. 1-18
Author(s):  
Xiangbin Liu ◽  
Jiesheng He ◽  
Liping Song ◽  
Shuai Liu ◽  
Gautam Srivastava
Keyword(s):  
Deep Learning ◽  
Image Classification ◽  
Medical Image ◽  
Rapid Development ◽  
Learning Model ◽  
Fine Tuning ◽  
Optimal Size ◽  
Image Dataset ◽  
Medical Image Classification ◽  
Deep Learning Model

With the rapid development of Artificial Intelligence (AI), deep learning has increasingly become a research hotspot in various fields, such as medical image classification. Traditional deep learning models use Bilinear Interpolation when processing classification tasks of multi-size medical image dataset, which will cause the loss of information of the image, and then affect the classification effect. In response to this problem, this work proposes a solution for an adaptive size deep learning model. First, according to the characteristics of the multi-size medical image dataset, the optimal size set module is proposed in combination with the unpooling process. Next, an adaptive deep learning model module is proposed based on the existing deep learning model. Then, the model is fused with the size fine-tuning module used to process multi-size medical images to obtain a solution of the adaptive size deep learning model. Finally, the proposed solution model is applied to the pneumonia CT medical image dataset. Through experiments, it can be seen that the model has strong robustness, and the classification effect is improved by about 4% compared with traditional algorithms.

scholarly journals Economic Principles of Mining Region Sustainable Development

2018 ◽  
Vol 41 ◽  
pp. 04010 ◽  
Author(s):  
Sergey Zhironkin ◽  
Dmitriy Khloptsov ◽  
Natalya Skrylnikova ◽  
Irina Petinenko ◽  
Olga Zhironkina
Keyword(s):  
Sustainable Development ◽  
Development Strategy ◽  
Quantitative Measurement ◽  
Raw Materials ◽  
Point Of View ◽  
Green Economy ◽  
Necessary Condition ◽  
The Sustainable Development ◽  
The Development Strategy

The concept of sustainable development in comparison with other paradigms was the most acceptable, from the point of view of determining the development strategy of society, in the medium and long term. Due to that, such important trends in science and practice as the restructuring and modernization of the economy, energy efficiency, environmental security, "green economy", etc. have been developed. One of the most important areas of research, important both for science and practice, is the measurement sustainability of development using the system of indicators. The quantitative measurement of sustainability makes it possible to shape strategies for the development of countries and regions, taking into account the ecological, social factors that previously could not even compete with economic factors. For Russia, this is important from different perspectives. Among the main reasons there is a significant differentiation of regions in terms of development level and the predominance of "raw materials" in the structure of the economy of many regions. Rational use of natural resources is a necessary condition for the sustainable development of any state or region.

scholarly journals The Evolutionary Game for Collaborative Innovation of the IoT Industry under Government Leadership in China: An IoT Infrastructure Perspective

2020 ◽  
Vol 12 (9) ◽  
pp. 3648
Author(s):  
Jie Hou ◽  
Baizhou Li
Keyword(s):  
Development Strategy ◽  
Smart Cities ◽  
Evolutionary Game ◽  
The United States ◽  
Game Model ◽  
The European Union ◽  
The Sustainable Development ◽  
Collaborative Innovation ◽  
The Development Strategy ◽  
Government Leadership

Since the United States, the European Union, China, and other countries put forward the development strategy of Internet of Things (IoT), it has been growing rapidly, leading to industrial restructuring and the sustainable development of various industries. Not only can collaborative innovation of the IoT industry accelerate R&D efficiency and product substitution frequency of IoT infrastructure, but also it can promote the construction of smart cities, the application of Big Data and Cloud Computing, and the development of 5G. In China, government is a leader and initiator of IoT infrastructure deployment. Therefore, in this paper, we construct an evolutionary game model of the IoT industry under government leadership represented by government, telecom equipment manufacturers, and telecom operators. Then, we analyze the asymptotic stability, equilibrium stability, and evolutionary stability strategy of the model. Finally, we carry out numerical simulation to investigate the effect of eight factors and four mechanisms on evolutionary behaviors of the three parties. The results show each factor has a different influence on them. Evolutionary game model offers ideas for government and industry subjects before the collaborative innovation of IoT infrastructure deployment in practice.

The Innovation of Knowledge Service for Network-Based Engineering Consulting Industry in China

2011 ◽  
Vol 71-78 ◽  
pp. 4035-4038
Author(s):  
Yu Xiang Zhao ◽  
Sheng Yue Hao
Keyword(s):  
Sustainable Development ◽  
Development Strategy ◽  
Construction Projects ◽  
The Sustainable Development ◽  
Knowledge Service ◽  
Engineering Consulting ◽  
The Development Strategy ◽  
Consulting Industry ◽  
China’S Economy

With the sustainable development of China's economy, the engineering consulting industry plays an important role in various types of construction, in particularly in the huge construction projects. The purpose of the paper is to research the innovation of knowledge service for network-based engineering consulting industry. With the method of combining theory with practice and the application of connecting advance with feasibility, the situations and challenges of the network-based engineering consulting industry are introduced in this paper. What is more, the development strategy in the innovation of knowledge service for network-based engineering consulting industry is summed up, which can provide supports to adapt to the new situations for the engineering consulting industry.

A novel hybrid deep learning model for taxi demand forecasting based on decomposition of time series and fusion of text data

2021 ◽  
pp. 1-17
Author(s):  
Kun Zhu ◽  
Shuai Zhang ◽  
Wenyu Zhang ◽  
Zhiqiang Zhang
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Demand Forecasting ◽  
Learning Model ◽  
Seasonal Trend ◽  
Text Data ◽  
Optimal Weights ◽  
Frequent Event ◽  
The Impact ◽  
Deep Learning Model

Accurate taxi demand forecasting is significant to estimate the change of demand to further make informed decisions. Although deep learning methods have been widely applied for taxi demand forecasting, they neglect the complexity of taxi demand data and the impact of event occurrences, making it hard to effectively model the taxi demand in highly dynamic areas (e.g., areas with frequent event occurrences). Therefore, to achieve accurate and stable taxi demand forecasting in highly dynamic areas, a novel hybrid deep learning model is proposed in this study. First, to reduce the complexity of taxi demand time series, the seasonal-trend decomposition procedures based on loess is employed to decompose the time series into three simpler components (i.e., seasonal, trend, and remainder components). Then, different forecasting methods are adopted to handle different components to obtain robust forecasting results. Moreover, considering the instability and nonlinearity of the remainder component, this study proposed to fuse the event features (in particular, text data) to capture the unusual fluctuation patterns of remainder component and solve its extreme value problem. Finally, genetic algorithm is applied to determine the optimal weights for integrating the forecasting results of three components to obtain the final taxi demand. The experimental results demonstrate the better accuracy and reliability of the proposed model compared with other baseline forecasting models.

scholarly journals Development Strategy of Surowiti Hill Religious Tourism in Panceng Subdistrict, Gresik

2018 ◽  
pp. 223
Author(s):  
Tisa Angelia ◽  
Eddy Imam Santoso
Keyword(s):  
Development Strategy ◽  
Swot Analysis ◽  
Rapid Development ◽  
Religious Leaders ◽  
Local Revenue ◽  
Analysis Technique ◽  
The Development Strategy ◽  
Religious Tourism ◽  
Religious Objects ◽  
Sanitary Conditions

Religious tourism has spread to several areas in Gresik, East Java, and has potentially increased local revenue. Religious tourist objects include wali tourism and some other religious objects. Sunan Giri and Maulana Malik Ibrahim tourist sites are two religious objects frequently visited by many tourists and make the city of Gresik known as Wali Tourist City. Surowiti Hill site is one of the attractions in Gresik which consists of religious sites in the form of tombs and stopover Islamic religious leaders, as well as natural attraction in the form of caves. This research aims to determine the potential of Surowiti Hill Tourism and further formulate the development strategy as religious tourism. This research used exploratory method with SWOT analysis technique. The analysis reveals that the strengths and opportunities of the site lies on its natural destinations, such as Jamur Hill and Dalegan Beach, and the existence of religious sites already well known as Sunan Giri and Maulana Malik Ibrahim. The site’s weakness includes sanitary conditions, provision of clean water, and access to the destination. Threat factor includes the lack of support from community and government and the rapid development of other industries that might contaminate the nature. In sum, the development of Surowiti Hill site has not been optimal in terms of management and promotion.

scholarly journals Research on the Strategy of Smart Classroom Construction Based on Teachers’ Data Literacy

2021 ◽  
Vol 123 ◽  
pp. 01017
Author(s):  
Yan Li ◽  
Yuhua Guo
Keyword(s):  
Development Strategy ◽  
Teaching Practice ◽  
Rapid Development ◽  
Quality Education ◽  
Practical Significance ◽  
Data Literacy ◽  
Smart Classroom ◽  
The Development Strategy ◽  
Hybrid Teaching ◽  
Intelligent Classroom

The rapid development of quality education and the proposal of the theme of reducing educational burden under the new situation have further promoted the pace of curriculum teaching reform. Exploring the development strategy ofa hybrid teaching model based on knowledge graphs with quality education as the core has important educational practical significance. In the digital age, smart classroom is the inevitable trend of the development of digital technology. Teachers’ data literacy reflects the requirements of intelligent classroom for teachers. This paper discusses the connotation of smart classroom and the construction strategy of smart classroom based on Teachers’ data literacy, which helps to improve teachers’ data literacy, build smart classroom, promote the in-depth integration of teachers’ data literacy and smart classroom construction, and provide reference for the development of teachers’ data literacy and the teaching practice of smart classroom.

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