Journal Information
Journal of Applied Science and Engineering Innovation
ISSN 2331-9062 (Print)
ISSN 2331-9070 (Online)
Journal of Applied Science and Engineering Innovation is an academic journal organized by the American Computational Science Society, which mainly publish the participants' papers in the annual International Conference on Applied Science, Engineering and Technology (ICASET) published a year. It usually do not accept the submission of non participants.
Current Issue
2019 Vol.6 No.4
Analysis of Factors Affecting Dust Concentration Detection Accuracy Based on the Orthogonal Experiment
Author:
Author affiliation: 1 China Coal Technology Engineering Group Chongqing Research Institute, Chongqing 400039, China
2 State Key Laboratory of the Gas Disaster Detecting Preventing and Emergency Controlling, Chongqing 400037, China
Abstract: In order to improve the detection accuracy of the charge-sensing dust concentration detection technology, a charge-sensing dust concentration detection experimental platform was built. Based on the orthogonal experiment, the temperature, humidity, coal type, wind speed and other factors were analyzed to determine the dust concentration of the charge-sensing method. The impact of detection technology detection accuracy. The research results show that the order of influence of the charge-sensing dust concentration sensor detection accuracy from primary to secondary is: coal type, humidity, wind speed, temperature, among which coal type plays a vital role. The research results provide a theoretical reference for the research on the detection accuracy of charge-induced dust concentration, which has important scientific significance.
Keywords: Dust; Orthogonal experiment; Charge induction method dust concentration detection; Detection accuracy; Influencing factors
How to Cite this Article:
. Analysis of Factors Affecting Dust Concentration Detection Accuracy Based on the Orthogonal Experiment, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 158-161.
Estimation of Manpower Cost Difference of Transmission Line Based on PSO-SVM
Author: Zhao Weibo1, Yang Zhen1, Wang Rongjing2, Li Jinchao2,3
Author affiliation: 1 China Electric Power Research Institute, Beijing, China
2 School of Economics and Management, North China Electric Power University, Beijing, China
3 Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing, China
Abstract: The rapid and large-scale development of power grid construction puts forward higher requirements for the construction and management of transmission line engineering projects. Implementing refined cost management and cost management will help improve the quality of power engineering infrastructure and avoid engineering cost risks. The pricing model currently used in China still operates around the quota model, resulting in a price difference between the labor fee quota and the market price, which poses a challenge to the cost work. Therefore, this paper establishes different prediction models and uses the transmission line engineering to conduct empirical research. The conclusion confirms that the selected key influencing factors have a strong influence on the total price difference of labor costs. By properly controlling key influencing factors, the gap between fixed labor costs and market labor costs can be reduced. In addition, through the comparative analysis of different prediction models, it is concluded that the PSO-SVM prediction model has the highest prediction accuracy for the total price difference, and the total price difference predicted by this model is the most accurate. The research provides a strong support for strengthening the construction of power grid projects, accurately measuring project cost, controlling labor costs, and achieving lean management.
Keywords: Transmission line engineering, PSO-SVM, Labor fee
How to Cite this Article:
, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 162-166.
Study on Beautiful Rural Planning in Urban and Rural Planning and Design
Author:
Author affiliation: North China Electric Power University, Department of Mechanical Engineering, Baoding, China.
Abstract: At the current stage, under the proposal of China's new rural construction policy, the beautiful rural concept usually refers to a yearning for the good rural life. Therefore, based on the development of China's special socialism, the study of beautiful rural planning and design can effectively recommend the development of the entire urban and rural areas, and strengthen the construction of beautiful villages, which can not only improve the living standards of farmers, but also contribute to the development of rural areas, and can also be integrated for China. The enhancement of national strength provides assistance. Therefore, we have studied the beautiful rural planning in urban and rural planning and design, in order to find some problems in the planning process, combined with the actual situation, design and plan for different regions and villages, and provide assistance for the development of rural areas in China. This paper analyzes in detail the beautiful rural planning in urban and rural planning, which aims to provide some reference and reference for people in the same industry.
Keywords: New rural construction, Urban and rural planning and design, Beautiful rural planning
How to Cite this Article:
Xiao-na Yu. Study on Beautiful Rural Planning in Urban and Rural Planning and Design, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 167-171.
Research on Social Benefit Evaluation of Transnational Interconnected Power Grid Project from the Perspective of Recipient Countries
Author:
Author affiliation: Department of Economic Management, North China Electric Power University,
Baoding, China
Abstract: With the implementation of the "One Belt And One Road" strategy, the cooperation between China and countries along the belt and road is getting closer, among which the interconnection of power grids is the focus of cooperation.Transnational interconnected power grid projects have an important impact on the development of national economy and the evaluation of their social benefits has become an important subject. In this paper, from the perspective of recipient countries, the social evaluation index system of transnational network project of power grid construction is established through the gray relative analysis method, and the analytic network process is used to determine the weight of evaluation index. At last, comprehensive evaluation is completed by the matter-element extension evaluation model. This paper shows that the evaluation model is scientific and feasible through an example.
Keywords: Gray relative analysis method, Analytic hierarchy process, Matter-element extension evaluation model, Transnational interconnected power grid project, Social benefit evaluation index system.
How to Cite this Article:
Jinying Li, Yan Di. Research on Social Benefit Evaluation of Transnational Interconnected Power Grid Project from the Perspective of Recipient Countries, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 172-176.
Effect of Bended Ratio and Twist Factor on the Mechanical Properties of Nano Silver Antibacterial Polyester Yarns
Author:
Author affiliation: 1 Qingdao Product Quality Supervision and Testing Research Center, Qingdao, 266071, P. R. China
2 Qingdao University, No 308 Ningxia Road, Qingdao, 266071, P. R. China
Abstract: To discuss the effect caused by twist factor of pure nano silver antibacterial polyester fiber and blending ratio of nano silver antibacterial polyester combed cotton fiber on yarn strength and elongation, nano silver antibacterial polyester was spun purely in different twist factor and in different blending ratio with combed cotton fiber, strength and elongation test and analyses were carried out on the yarns. The result shows that breaking strength and breaking elongation rate of the blended yarn are the lowest when the blending ratio of nano silver antibacterial polyester combed cotton is 41.2/58.8 or 43/57, In the process of production, the blending ratio within the scope of (41.2-43)/(58.5-57) should be avoided as far as possible. Critical twist of pure nano silver antibacterial polyester yarn is about 400.7.
Keywords: Nano silver antibacterial polyester, Blended ratio, Twist factor, Strength and elongation
How to Cite this Article:
, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 177-180.
Statistical Analysis of Medical Genetic Information Prediction
Author:
Author affiliation: Xiamen University Tan Kah Kee College, Zhangzhou, Fujian, China
Abstract: The medical genetic information system is a complex information system that needs to be deeply studied in the comprehensive application of medicine, pharmacology, biological science, chemistry, information science, mathematics and computer science. It has far-reaching research significance and application prospects. The research on prediction and decision-making of medical genetic information system has become a major topic in mathematics and medical workers in recent years. Thus based on a new idea of digital medical genetic information optimization decision-making, this paper extends non-digital medical genetic information prediction to digital medical genetic information prediction in the generalized information measure space, and makes full use of probabilistic and statistical methods to make pre-decision on early diagnosis of diseases, carcinogenicity of chemical substances, genetic counseling and paternity testing. The problems were discussed and studied in depth. It provides a new theory, new approach and new method for further improving the optimal prediction level of medical genetic information system and effectively enhancing the pre-decision benefit of medical genetic information system.
Keywords: Medical genetic information system; Probabilistic statistical method; Prediction; decision benefit; Optimization level
How to Cite this Article:
, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 181-183.
Steeply Inclined Working Face Floor Damage Depth Analysis and Research of Prevention and Cure
Author: Ma Shuyin 1,2
Author affiliation: 1 China Coal Technology and Engineering Group Chongqing Research Institute, Chongqing, 400037 ,China
2 State Key Laboratory of the Gas Disaster Detecting Preventing and Emergency Controlling, Chongqing , 400037, China
Abstract: In order to grasp the steeply inclined coal face "unbalanced" the influence of the surrounding rock stress distribution on the depth of floor damage situation, Combining with the theory of elastic-plastic mechanics related to establish the face to the mechanical characteristics of floor plastic destruction force model, And according to the empirical formula obtained under different stress concentration factor of plate damage depth formula, the mine working face a steep bottom grouting of the temporary support simulation at different positions of damage depth, it is concluded that the plastic damage area of support before and after the distribution. The results show that the steeply inclined coal face in upper, middle and the lowest floor damage depth is different, it is concluded that the depth of damage were 10.7m, 9.5m and 8.2m. Through numerical simulation analysis three locations without supporting condition floor damage depth of 11.5m, 10.2m and 7.3m, the corresponding error up to 0.9 m more reasonable. In the face three positions corresponding to a depth of floor temporary support, grouting results can effectively inhibit backplane; management of steeply inclined coal face slab has a realistic significance.
Keywords: Steeply Inclined Working Face, "Unbalanced" Surrounding Rock Stress, Numerical Simulation
How to Cite this Article:
, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 184-188.
A Review of the Research on the Peak Carbon Emission in China
Author:
Author affiliation: Department of Economic Management, North China Electric Power University, Baoding, 071000, China
Abstract: With the further study of the peak carbon emissions in China, there is a great difference between the peak carbon emissions and the peaking time of carbon emissions in China. This study found that the current scholars mainly from the scenario analysis, the consistency of national emission reduction actions, the key sectors of emission reduction, carbon emission reduction analysis model, national policy-oriented prediction. At the same time, this paper summarizes the general situation of carbon emission peak research in China, summarizes the main factors and methods of carbon emission peak research in China, and also shows the specific research results and the development situation of China in recent years. This paper summarizes some problems in the study of peak carbon emissions in China, and puts forward some suggestions for predicting the peak carbon emissions in China in the new historical development stage.
Keywords: Carbon emissions, Scenario analysis, Peak carbon emissions
How to Cite this Article:
, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 189-194.
Research on Comprehensive Evaluation of Air Quality in Beijing Based on Entropy Weight and Grey Clustering Method
Author:
Author affiliation: Department of Economic Management, North China Electric Power University, Baoding, China
Abstract: This paper introduces the theory of entropy value in information theory into the calculation of air quality assessment, and calculates the weight coefficient through the information disordered utility value reflected by the data itself, so as to effectively reduce the influence of subjective factors. By introducing the improved grey clustering model with entropy weight, the evaluation method is enriched and improved. It is found that the main influencing factor of air quality in Beijing is the concentration of O3, followed by CO concentration. The influence degree of PM2.5, PM10 and NO2 is close, and the effect of SO2 on air quality in Beijing is not obvious. The air quality in Beijing in the first quarter is generally better than that in the second and third quarter. With the implementation of air pollution prevention and control actions, Beijing's air quality has been gradually optimized.
Keywords: Comprehensive evaluation; Entropy weight method; Erey clustering; air quality
How to Cite this Article:
, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 195-202.
The Research on Energy Consumption Forecast Based on Trend Prediction Method in China
Author:
Author affiliation: College of economics, Hebei University, Baoding 071002, China
Abstract: Trend prediction method is adopted to predict the total energy consumption in China in this paper, which is compared with the linear regression method. The empirical results show that the prediction error of the trend prediction method is smaller than that of the linear regression method.
Keywords: Energy Consumption, Trend Prediction Method, Linear regression method, Forecast
How to Cite this Article:
, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 203-205.
The Research on Carbon Emission Forecast Based on GM (1, 1) Model in China
Author: 2
Author affiliation: 1College of economics, Hebei University, Baoding 071002, China
2 Department of Economic Management, North China Electric Power University, Baoding 071003, China
Abstract: The carbon emission of China has become the focus of the world, and China's future carbon emissions forecasting will help achieve the emission reduction target of 2030. The carbon emission data in China from 2000 to 2018 were selected, and the short-term prediction was made based on Grey Model GM (1, 1) model. The model test results show that the relative error is level 2, the correlation degree is level 4, and mean variance ratio and small error probability are both level 1, which shows that the predicted results has good forecasting performance. By 2025, China's carbon emission will exceed 41 tons of carbon, and the carbon dioxide emission situation during the "14th five-year plan" is still severe.
Keywords: Carbon emission, GM (1, 1), Forecast
How to Cite this Article:
, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 206-209.
Review of Electronic Information Technology Application in the Field of Artificial Intelligence
Author: Ruitao Yu 1, Bingqiang Shan 1, Hongyan Geng 2
Author affiliation: 1 College of Electronics and Information, Qingdao University, Qingdao, Shandong 266071, China.
2 China Research Institute of Radiowave Propagation, Qingdao, Shandong 266071, China.
Abstract: The field of artificial intelligence is a hot research direction in the scientific and technological circles in recent years. Artificial intelligence is a branch of computer science. Its goal is to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence. The research in this field includes robots, language recognition, image recognition, natural language processing and expert systems. However, the development of artificial intelligence is inseparable from the underlying hardware support of electronic technology. As a traditional science, electronic information technology needs to be carefully studied if it can better serve artificial intelligence. This paper summarizes the application of electronic information technology in artificial intelligence.
Keywords: Artificial intelligence, Computer science, Electronic information technology
How to Cite this Article:
, Journal of Applied Science and Engineering Innovation, 2019, 6(4), 210-213.