bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the realization of air intake device based on zero energy consumption complementary to wind energy and solar energy
Authors: Liu Kaijie , Qiu Yukun , Li Ruipeng
Published: March 2020

The device studied in this paper is to solve the problem of water shortage in islands and mountainous areas. The area is developed by using traditional water abstraction technologies, such as seawater desalination and direct air condensation, which have the advantages of large investment, high energy consumption and low efficiency. With new technology, the project has developed a device that uses wind and solar energy to draw water directly from the air. The content of this product is mainly reflected in: 1) The device can synergistically utilize wind power to realize wind power generation and automatic inhalation of humid air, and then utilize high-efficiency water-absorbing material, and can collect moisture in the air, and then use the energy generated by wind energy and solar power generation device, and finally The water-absorbing material is heated to evaporate water vapor, and finally the semiconductor refrigeration technology is used to condense the water vapor to collect and obtain liquid water. 2) The device adopts aerodynamic simulation analysis and experimental verification, and this paper proposes a spiral vertical fan and an induced draft flow path. The structural design realizes the integration of wind power generation and humid air collection functions; 3) The design of the circulating suction mechanism of the suction and dewatering module of the device enables the device to realize the process of regeneration and recycling of the water absorbing material.
The Construction of the Integrated Energy Planning Mathematical Model of Dynamic Natural Gas-Electricity Coupling
Authors: Yang Jiahang
Published: March 2020

To rationally utilize the energy and reduce the energy consumption and environmental pollution as much as possible while meeting the power demands, the mathematical planning method is used to construct an integrated energy planning mathematical (EPM) model of natural gas-electricity coupling, thereby achieving the optimal planning of energy. The research results show that the integrated energy planning model constructed by mathematical planning method has excellent adaptability, which can meet the needs of energy conservation and environmental protection. Therefore, the construction of an integrated EPM of dynamic natural gas-electricity coupling is of practical significance for the rational utilization of energy resources and the protection of the environment.
Power Load Forecasting Using BiLSTM-Attention
Authors: Du Jie , Cheng Yingying , Zhou Quan , Zhang Jiaming , Zhang Xiaoyong , Li Gang
Published: March 2020

With the development of big data and artificial intelligence, the applications of smart grid have received extensive attention. Specifically, accurate power system load forecasting plays an important role in the safety and stability of the power system production scheduling process. Due to the limitations of traditional load forecasting methods in dealing with large scale nonlinear time series data, in this paper, we proposed an Attention-BiLSTM (Attention based Bidirectional Long Short-Term Memory, Attention-BiLSTM) network to do the accurate short-term power load forecasting. This model is based on BiLSTM recurrent neural network which has high robustness on time series data modeling, and the Attention mechanism which can highlight the key features playing key roles in load forecasting in input data. The verification experiments with real data in a certain area show that the proposed model outperforms other models in terms of prediction accuracy and algorithm robustness.
Study on coordinated control strategy of microgrid based on power electronic transformer
Authors: Huo Yingzhe , Wang Qun , Li Feng , Song Yanli , Zheng Chuanwu , Yang Zhixiong , Zeng Bangze , Su Yulu , Zhang Jiqing , Zhao Deli , Qin Gang , Xiang Linhui
Published: March 2020

Microgrid can effectively improve the ability of power grid to absorb distributed energy. The new structure with power electronic transformer (PET) as the core of energy management is the new development direction of microgrid. A micro grid control strategy for coordinated operation of PET and energy storage is proposed. The interface converter of energy storage adopts constant voltage and constant frequency control to maintain the stability of voltage and frequency of micro grid. The low-voltage AC interface of PET connected to micro grid integrates the control of virtual synchronous generator to adjust the mechanical reference power according to the state of energy storage. Energy storage responds to the power fluctuation in microgrid rapidly, while PET maintains the stability of energy storage capacity through two-way power regulation and ensures the “flexible” exchange of power between microgrid and grid. Because energy storage and PET are controlled as voltage source interface at the same time, when one of them fails, the microgrid can still operate smoothly. Under this control strategy, microgrid operation can ensure the maximum efficiency of intermittent distributed energy utilization, and improve the stability, reliability and user friendliness of microgrid operation. Simulation and hardware in the loop hardware in the loop experiment results verify the correctness and effectiveness of the proposed control strategy.
Vertical Lane Line Detection Technology Based on Hough Transform
Authors: Li Xingxing , Yin Panpan , Zhi Yan , Duan Chao
Published: March 2020

Lane detection technology is widely used in the field of automatic driving. In this paper, Hough transform is used to detect the vertical straight lanes of interest. Firstly, the edge features of the image are extracted by image preprocessing. Then, the region of interest in the image is delineated. Then, the region contour image is transformed by Hough transform to find the straight line segment in the image. Finally, the straight line end is filtered and simulated by least square method. Combine the linear equation and mark the lane line.
Energy-saving Analysis of Energy Consumption in Public Buildingsand Case Application
Authors: Zhao Yuming , Qin Yuanjian
Published: March 2020

This paper introduces the basic principles and characteristics of the energy consumption monitoring system, design situation, equipment parameters, system form and application examples of energy consumption monitoring system in public buildings, explains the role of public building energy monitoring system. Starting from the artificial collection and data transmission, this paper analyzes the application status of public building energy consumption monitoring technologies, and based on this, proposes application countermeasures based on energy conservation management under public building energy consumption monitoring system, which can provide some references for energy-saving application technology in public buildings.
Weight Calculation Method for Consumer Goods Risk Assessment Indexes Based on Analytic Hierarchy Process
Authors: Song Heliang , Lu Xiaowei , Wu Qian , Xu Yingcheng , Peng Bin
Published: March 2020

This Paper, by comprehensively analyzing the factors influencing consumer goods safety risk assessment and following the principles of completeness, maneuverability, rationality and comparability, constructs a consumer goods safety risk assessment index system covering human-product-environment, and proposes the weight calculation method for consumer goods safety risk assessment index system based on Analytic Hierarchy Process (AHP), laying the foundation for the related work of consumer goods safety risk assessment.
Research on Landfill Site Evaluation Index Based on Cloud Model
Authors: Sun Ping , Zhang Xuan
Published: March 2020

In order to solve the uncertainty, ambiguity and randomness in the closure evaluation of the municipal solid waste landfill in Dagang District of Tianjin, combined with the actual situation of saline-alkali land in the arid area, the cloud model was introduced to evaluate the landfill site closure and determine the filling. The site level of the burial field. The weight of each level of the evaluation index of the landfill and the score of each level of the index are obtained by the reverse cloud generator to obtain the corresponding cloud model, and each level of the index is qualitatively and quantitatively analyzed, and the cloud model is evaluated for the landfill. The evaluation results are presented and an improvement plan is proposed. The cloud model provides a new method for the closure of saline-alkali landfills in arid regions.
Interaction of Beijing-Tianjin-Hebei’s energy consumption on environment
Authors: Liu Yifei
Published: March 2020

Optimization and upgrade of energy consumption and friendly-developing eco-environment play a core part in Beijing-Tianjin-Hebei’s coordinated development strategy. Energy consumption structure interacts with environment. This paper selects coal,oil and gas consumption in Beijing-Tianjin-Hebei as energy structure variable waste gas, gas and solids discharge as environment variable to establish a Vector Auto-Regression (VAR) model, which is used to study their Johansen Cointegration test, and their interaction via impulse response function and variance decomposition. The result shows an outstanding cointegration between the both, with a lagging effect on three wastes discharge, and coal, oil and gas consumption contributing variably to three wastes discharge. A balanced development between Beijing-Tianjin-Hebei’s energy consumption and environment may be achieved by making full use of such lagging effect and contribution extent and real-time evaluation & adjustment of exterior conditions.
Discussion on the Evaluation Index System of Rural Water Environment
Authors: Chen Gai
Published: March 2020

To construct rural water environment index evaluation system in a reasonable way is not only of great significance to the correct understanding of rural water environment, but also plays an important role in predicting the future development trend of rural water resources. Based on the current situation of rural water environment, This paper attempts to explore the principles of setting up the evaluation system of rural water resources and environment, and to build the evaluation system of rural water resources and environment. Finally, this paper constructs a multilevel evaluation system of water resources and environment, which aims to protect the water resources and environment, including three kinds of elements and eight indexes of water supply safety, drainage safety and objective factors, which can be used for rural water resources and environment.
Decomposition Analysis of Energy Carbon Emission Factors in Beijing-Tianjin-Hebei
Authors: Fan Zhiguo , Zhang Shaolin
Published: March 2020

With the rapid economic development of Beijing-Tianjin-Hebei region, the problem of environmental pollution cannot be ignored. Especially in recent years, the haze weather, the increase of carbon dioxide emissions, the development of Beijing, Tianjin and Hebei has brought a negative impact. Now, the primary energy consumption of the three regions of Beijing, Tianjin and Hebei is decomposed into five factors including population, economy, industrial structure, energy intensity and energy consumption structure by using LMDI decomposition method. The results show that: overall population and per capita GDP promote the growth of carbon emissions, and overall industrial structure effect, energy intensity effect and energy consumption structure factors inhibit the growth of carbon emissions. The energy intensity of the secondary industry and the tertiary industry has a very significant inhibiting effect on the growth of carbon emissions.
Study on Coordinated Governance and Evaluation of Air Pollution in Beijing-Tianjin-Hebei Region
Authors: Pei Xiaobing , Shang Fangjian
Published: March 2020

Due to the spatial spillover of air pollution and the regional mobility of polluting enterprises, the territorial governance model is inefficient, and only a regional joint approach can achieve efficient treatment of air pollution. This paper analyzes the current situation of air pollution in Beijing-Tianjin-Hebei, and the problems encountered in the air pollution control in the Beijing-Tianjin-Hebei region. After using the entropy method to measure the annual average of air pollutants, it can more accurately represent the effect of controlling air pollution. Finally, some suggestions for regional air pollution control are provided. Only by working together in the region can air pollution control be more effective.
Research on the Functionality of University Library Construction Based on Energy Saving and Environmental Protection
Authors: Yu Dongmei , Lv Xing , Han Yu
Published: March 2020

In recent years, the energy conservation and environmental protection construction of university libraries and the coordinated development of ecological environment are important topics in the construction of socialist culture in China. In-depth study of energy conservation and environmental protection measures for library construction, through the use of excellent and ingenious design and the use of emerging technologies, do our best. Reduce the operating costs of libraries and realize the construction of green energy-saving and environmentally-friendly libraries. The university is building or expanding libraries to meet the needs of school expansion. The library plays an important role in the university and is one of the university’s landmark buildings. According to the actual design of library construction design, this paper expounds that energy conservation and environmental protection are the inevitable trend of university library architectural design development.
Research on Safety Management of Ventilation System Based on Regional Evaluation System
Authors: Zhao Wenbin , Liu Qing , Song Lei , Lu Jiyu , Zhao Juan , Liu Bo
Published: March 2020

Large metal mines have many features of returning to the wind shaft and multi-level mining. The ventilation system is complex, and the ventilation conditions and external environment of each area are different. The general mine ventilation evaluation is for the entire mine system. It is not possible to accurately and specifically make specific evaluations and management recommendations for each part of the ventilation system. Taking the safety management research of the ventilation system of Huibaoling Iron Mine as an example, a regional evaluation method is proposed. An evaluation index system was established and evaluated for four different levels of regional ventilation systems in Huibaoling Iron Mine. The overall scores of each region and the scores of each indicator were used to provide a basis for specific safety management work. Field practice shows that regional ventilation management can solve ventilation management problems efficiently and in a targeted manner, and has good promotion and utilization value.
Research on the Impact of Road Landscape Color on the Driving Fatigue of Drivers
Authors: Yao Xueping , Ji Bingkui , Li Mingda , Men Yuzhuo , Jin Xin
Published: March 2020

In the closed-loop system of human-vehicle-road-environment, the environment has a very important impact on drivers. The long-term monotonous environment will lead to the visual fatigue of drivers, thus affecting the driving safety; while a good road landscape environment will give drivers a comfortable visual experience, which can relieve the visual fatigue of drivers to some extent. This paper takes the Impact of landscape color on the driving fatigue of drivers as the view of research and reflects the impact of landscape color on driving safety. This paper analyzes the basic attributes of color and analyzes the color fatigue characteristics of drivers using the spectral sensitivity (spectral luminous efficiency) function. Due to the uncertainty of the color attribute value of roadside landscape environment, the eye tracker is used to record the characteristics of the eye movement of drivers in the experiment. Also, based on the example of the landscape color of Qinghai-Tibet Highway, this paper selects the blinking frequency of drivers as the analysis index to quantitatively measure the driving fatigue of drivers, which can indirectly reflect the relationship between landscape color and driving safety.
Mathematical Statistical Method for Environmental Performance Evaluation of Low Carbon Energy
Authors: Guan Yonglin
Published: March 2020

China’s development shows that its industrial development level has a great correlation with the establishment of mathematical economic models. China’s industrial trade has become more and more mathematical and quantitative, and the creation of mathematical economic models will run through all aspects of China’s industrial trade. This paper is a simple research and analysis of the role of industrial economic modeling in mathematics in China’s trade environment.
Research on Nox Formation and SCR Denitration System Control by Smoke Mixing Under Low Load
Authors: Wang Guilin , Zhang Li , Ai Dengxin , Zhao Yue , Zhou Yigang
Published: March 2020

With 2 × 330MW subcritical coal-fired boiler as the research object, the influence of two kinds of primary air flue gas recirculation schemes on the combustion of pulverized coal and the formation of NOx were studied by numerical simulation software. The variation law of SCR inlet fume temperature was studied with boiler thermodynamic calculation. The calculation results show that the reasonable smoke mixing method can effectively improve the SCR inlet flue gas temperature and reduce the furnace outlet NOx concentration. The optimal proportion was 20% with the primary air mixing smoke while maintaining constant air mass. The results of numerical simulation and thermodynamic calculation show that SCR inlet flue temperature can be increased by 15°C, the concentration of NOx emission can reduce by 18.29mg/Nm3.
Temporal-Spatial Evolution of Industrial Wastewater Discharge Efficiency in the Yangtze River Delta, China: A Nonparametric Analysis
Authors: Sun Yongping , Wang Jigan , Li Yingqiu , Xing Zhencheng
Published: March 2020

Urban agglomeration has been the core of coordinated development of regional economy in China, since urban agglomeration is deemed as the main form of new urbanization by central government. The rapid industrialization in the Yangtze River Delta (YRD) brings about large consumption of water resources as well as massive industrial wastewater discharge. In this case, we incorporate industrial water consumption and wastewater discharges into the directional distance function to construct and analyze the industrial wastewater discharge efficiency (IWDE) of cities in the YRD. The results indicate that the overall IWDE in YRD proceeded in a fluctuation way during our study period. Also, IWDE varied among the cities in the YRD due to their spatial differences in economic development, water resource endowment and environmental regulation. In addition, there was an observed spatial cluster of IWDE among different clusters of cities in the YRD.
Application of Big Data Visualization in Urban Planning
Authors: Cao Xinhui , Wang Mei , Liu Xin
Published: March 2020

During the past ten years, with the process of urbanization accelerates, urban population has increased sharply. Traffic congestion, noise pollution, garbage treatment and other problems, which make the traditional urban planning methods difficult to shoulder this heavy responsibility. At the same time, intelligent city and the construction of informationize is also developing rapidly, the practice and research of big data in urban planning industry are widely used. Large scale data visualization is one of the most important steps in big data. Not only can the data be expressed in visible form to improve the efficiency of data analysis, but also human-computer interaction can be carried out. To overcome these problems, this paper studies the problem of urban planning based on large scale data visualization. Firstly, it extends the concept and model of big data visualization to the significance and framework of applying big data visualization to urban planning. Then through the case of visualization of traffic data and environmental sound data, we can see that both quality and efficiency have been significantly improved. Furthermore in order to stimulate future research in this field, we also highlight the major opportunities and challenges, as well as potential important research directions for urban planning.
Discussion on Smart Car Routing Method Based on Gray Image
Authors: Tian Qingyao
Published: March 2020

As the carrier of visual information, image is an important source of information for human beings, and camera has always been one of the most important sensors for smart car line patrol. By using the camera to patrol the line, the smart car can obtain the optimal path and the furthest prospect, so as to achieve the high speed which is difficult to be achieved by using other sensors. However, the camera’s acquisition of information is very affected by light. In the case of solar interference, traditional image processing methods can not achieve good results. In this paper, we will discuss the method of dealing with the gray-scale image which is disturbed by sunlight.
Louvre Efficient Evacuation Plan Based on LSFFM
Authors: Wang Zhaoyang
Published: March 2020

For large tourist attraction Louvre, it is essential to establish an emergency evacuation plan for personnel in critical situations. We propose an effective graph-based path planning model, which is suitable for limited space with dense visitors flow. This paper analyze individual’s movement pattern with CA model, regional crowd flow, and overall suboptimal path planning. We establish a limited space fast flow model (LSFFM). Then we apply this evacuation model to the Louvre compared with other out of order evacuation condition. It shows a great performance for evacuation efficiency and visitors’ safety.
Construction of Low Carbon Environment Evaluation Index System Based on AHP
Authors: Xie Libin , Yuan Heyan
Published: March 2020

Low-carbon auditing plays an important role in the development of low-carbon economy as an important means of monitoring energy conservation and emission reduction. Constructing a low-carbon audit evaluation index system will help achieve the goal of low-carbon audit and promote the development of low-carbon audit. This paper uses AHP (Analytic Hierarchy Process) to determine key impact indicators and build a low carbon audit evaluation model.
Effect of Flue Gas Recirculation on Nitrogen Oxide Emission of Coal-Fired Unit Boiler
Authors: Zhang Limeng , Dong Xinguang , Liu Ke , Zhang Xuhui , Hou Fanjun , Hu Zhihong
Published: March 2020

Taking the flue gas recirculation system of 220MW coal-fired unit as the test object, effects of the operation mode of the flue gas recirculation system on the operating characteristics of the boiler under different working conditions was studied.The results show: the operation of flue gas recirculation system will suppress the amount of NOx generated in the furnace, and the best way to restrain the formation of NOx is to send the recycled flue gas into the furnace through primary and secondary air simultaneously. The flue gas recirculation system can effectively improve the inlet flue gas temperature of SCR, especially when the secondary flue gas recirculation system is put into operation, and the effect of increasing the inlet flue gas temperature of SCR is obviously better than that of the other two operation modes. The operation of flue gas recirculation system can effectively save net coal consumption.
Ocean Simulation Based on Particle System
Authors: Li Gen , Zhang Jing , Yang Jing
Published: March 2020

With the continuous development of computer simulation technology, marine environment simulation has been widely used in many fields, and how to produce a realistic marine environment is a key issue. Aiming at the problem that the ocean surface has poor realism and complicated calculation in the traditional ocean wave modeling method, this paper analyzes the marine environment in detail, conducts research on the departure modeling method based on particle system, establishes the ocean model, and uses Unity3D. The engine eventually built the real ocean environment. Finally, through comparative experiments, it is proved that the method has higher operating efficiency under the condition of ensuring high simulation degree, which confirms the timeliness and feasibility of the model, and provides a reference for the marine three-dimensional simulation problem.
Variation Characteristics of Organic Carbon Content and Distribution in Compound Soils with Different Ages
Authors: Lu Yangjie , Guo Zhen , Ge Lei
Published: March 2020

This study explores the development of compound soil. In this study, different planting years and different proportions of sandstone and sand compound soil were studied, and the total organic carbon content and distribution in different planting ages were studied. The results showed that when the planting period was low, the content of readily oxidized organic carbon and the proportion of total organic carbon in sandy soil was the lowest, and the stability of organic carbon was the highest. The easy-oxidation organic matter of compound soil in the ratio of sandstone to sand 1:2 the content of carbon and total organic carbon is the highest, and the stability of organic carbon is the lowest. When the planting period is high, the content of readily oxidized organic carbon in sand is slightly increased, and the content of readily oxidized organic carbon in other proportions of compounded soil is significantly decreased, the stability of organic carbon increased.
Preliminary Study on the Characteristics of Ductile Shear Zone Type Gold Deposit
Authors: Zhang YaBo
Published: March 2020

The ductile shear zone type gold deposit is a very important type of gold deposit. For the study of metallogenic characteristics of ductile shear zone, the development is extremely rapid, and there are already quite mature research methods and relatively complete research contents. This paper mainly focuses on the structural characteristics, fabric characteristics of the shear zone, the relationship between the deformation of the shear zone and mineralization, the relationship between gold deposits and shear zones, the geochemical characteristics of the shear zone gold deposits, the metallogenic model and the future. The research direction has been made a simple narrative.
Omparison of the morphology of Pseudoregma bambucicola in Southwest of China
Authors: Nong Xiang , Zhang Yu , Yu Hua , Yang Yao Jun , Liang Zi , Hu Qiang
Published: March 2020

The bamboo aphid, Pseudoregma bambucicola, is one of the most common insect pests of bamboo. It not only affects normal bamboo growth but also induces sooty molds, causing bamboo dead and hugely impacting the growth of bamboo. This study uses the LY-WN high-quality microscopic system to research and record the size of individual form of the Pseudoregma bambucicola from Leshan, Chengdu, Chongqing and Mianyang. The results show that the body length of adults are from 3.21 mm to 4.23 mm in Leshan, between 3.16mm to 4.47mm in Chengdu, from 3.05mm to 4.18mm in Mianyang and from 2.66mm to 3.87mm in Chongqing. What’s more, the egg length from 1.14mm to 1.62mm and body wide from 0.60 mm to 0.77mm in Leshan. Larvas from Leshan grow faster at 2-3 days and 6-7 days than in other days. Above all, this study aims to distinguish the individual morphological character of the Pseudoregma bambucicola from different areas through comparative analysis, and to provide theoretical support for relevant studies.
Application of Seismic Waveform Inversion in Prediction of Tight Sandstone Conglomerate Reservoir in Surenuoer Oilfield
Authors: Liu Li
Published: March 2020

The reservoir of Tongluomiao Temple in Surenuoer Oilfield is dominated by glutenite. The sand body is dense, the buried depth is shallow, the heterogeneity is strong, and the oil-water relationship is complex. The favorable reservoir sand body prediction has always plagued the block exploration and development. Therefore, based on the seismic waveform indication inversion principle, process and key parameter settings, based on the petrophysical analysis in the study area, the reservoir inversion technique is studied, and the well interpolation model and the waveform indication inversion model are proposed. The method generates the inversion prediction model of the study area. On this basis, the threshold value of the layer is used to extract the thickness distribution of the sand body plane, and then the favorable target area is predicted. The actual drilling results show that the thickness of the sand body predicted by the method and the actual drilling The results are in good agreement and the oil and gas shows good, providing a reliable technical method for reservoir prediction.
Investigation on Collapse Risk of Subsea Tunnel Based on Data Mining: A Collapse Risk Recognition Model
Authors: Li Xin , Xue Yiguo , Gong Huimin , Zhou Binghua , Li Guangkun
Published: March 2020

Due to the special geological conditions, the collapse of the subsea tunnel occurs frequently. To control the collapse risk of the subsea tunnel, this paper selected seven indicators including over-span ratio, buried depth, groundwater condition, rock mass integrity, rock mass grade, support method and construction level. The weight of the seven indicators is calculated by entropy method, among the results, the support method has the highest weight, and the construction level has the lowest weight. Finally, the evaluation model is established to evaluate the collapse risk of the subsea tunnel engineering in China, and the results obtained via the evaluation model are basically consistent with the excavation situation. The proposed evaluation model is demonstrated as an innovative method for the collapse risk evaluation of the subsea tunnel engineerings.
Research on Detection of Large Coal Blockage at the Transfer Point of Belt Conveyor Based on Improved Mask R-CNN
Authors: Shao Xiaoqiang , Zhu Hua , Guo Defeng , Zheng Runyang , Wei Jinyang
Published: March 2020

Aiming at the problem of coal accumulation and blockage at the transfer point at the transfer point due to the presence of large coal in the coal belt conveyor, a method based on the improved Mask R-CNN for the detection of the jam at the transfer point of the belt conveyor is proposed. The method firstly adds the SENET and SKNet models to the Mask R-CNN feature extraction part ResNet50, enhances the function of extracting features, and cancels the segmentation part of Mask R-CNN. In order to make the network better converge, the loss function in the RPN network is optimized, and the original IOU is replaced with GIOU, which solves the problem that the IOU cannot be optimized when it is 0 and the IOU cannot distinguish the anchor from the ground truth.
Discussion on Land Consolidation Model in Urban Fringe Area -- Taking Shichuan River in Fuping as an Example
Authors: Wei Yulu , Peng Biao , Liu Hongying
Published: March 2020

Aiming at the problems of comprehensive development and reuse of land resources and water resources in urban fringe areas, this paper puts forward that land is the basis of construction and sustainable development of urban fringe areas, and the cleanness, health and safety of land resources and water resources are the premise of urban fringe development. Taking shichuan river comprehensive regulation and development project of fuping as an example, this paper summarizes the key technologies of land comprehensive development and management in urban fringe areas, and discusses the new mode of land regulation and development in urban fringe areas. It is expected to provide scientific basis for soil and water resources optimization allocation and ecological environment quality improvement in the process of urban fringe area governance, and open up new ways.
Application and Development of New Drones in Agriculture
Authors: Ren Qiang , Zhang Rongde , Cai Wanlin , Sun Xinfeng , Cao Limeng
Published: March 2020

With the advancement of technology and advances in technology, the research on drones has become more and more in-depth, and the practical application fields have become more extensive. Its unparalleled advantages also play an important role. At present, drone technology has also gradually Mature. Drones are creating a new agricultural revolution. It is estimated that the size of drones in the agricultural market will reach billions of dollars in the next few years. As editor of the UN Food and Agriculture Organization and the International Telecommunication Union’s research report on “UAVs and agriculture”, information expert Gerard Sylvester said that as farmers work to adapt to climate change and meet other challenges, drones are expected to help the entire Agricultural enterprises improve efficiency.
Variation Trends of Precipitation and Runoff in the Jinsha River Basin, China: 1961-2015
Authors: Xiong Yi , Zhou Jianzhong , Sun Na , Jia Benjun , Hu Guohua
Published: March 2020

Data analysis and mathematical statistics are used to analyze the Interannual variation of runoff and precipitation in the Jinsha River basin from 1961 to 2015. The area average annual precipitation showed no significant upward trend, and the annual runoff showed no significant downward trend. The results of cumulative anomaly test, MK mutation test and sliding t test are consistent, there were three mutation years of 1984, 1997 and 2005 in the time series of annual precipitation and runoff in the Jinsha River basin. This study also provides necessary hydrometeorological basic information for quantitative assessment of the contribution rate of climate change and human activities to runoff change.
Study on the Learning Algorithms of Artificial Intelligence
Authors: Sun Qinghua , Yin Fengxiang
Published: March 2020

This article delves into artificial intelligence algorithms. From a functional and formal point of view, the artificial intelligence algorithms are divided into four categories which named: statistical based algorithms, tree-based algorithms, neural network-based algorithms, and comprehensive algorithms. On this basis, the common algorithm model and its principle in the field of artificial intelligence are analyzed in this paper. In order to further study the semantic logic in artificial intelligence field, based on the tools of semantic vector space model, this paper abstract and analyze the process of understanding “Knowledge Set” on the empirical level and “Control Knowledge Set” on the thinking level. This paper lays a theoretical foundation for the research of artificial intelligence and robots.
UAV Formation Control Method Based on Consistency Strategy
Authors: Xue Yinghui , Luo Yongjian , Zhu Min
Published: March 2020

Based on a Four-rotor UAV model, a distributed UAV cooperative formation control algorithm based on consistency strategy in three-dimensional space is proposed. The convergence and validity of the proposed algorithm are proved by simulation experiments under the condition that the model and simulation assumptions are satisfied.
Research on Generalization of Baseband Equipment and Satellite Simulator
Authors: Kou Mingxin , Su Yonghe , Ai Tengfei
Published: March 2020

The contradiction between the shortage of satellite simulator resources and the diversification of model missions is becoming more and more obvious. The demand for multi-institutional satellite simulators is particularly urgent for each ship, and the satellite simulator and baseband equipment can be fully designed. In this paper, the basic concepts of baseband and satellite simulator are introduced. The key technologies for the generalization of baseband and satellite simulator include hardware platform analysis, functional requirements analysis, generalized modulation and demodulation technology, etc., and the basic baseband and satellite simulator are proposed. Feasibility study.
Study on the Wildfires Occurring Risk Based on Fuzzy FTA
Authors: Chen Changkun , Xu Tong , Zhao Dongyue , Lei Peng
Published: March 2020

The serious consequences of wildfire urges scholars to pay more attention to control the occurrence of wildfire. Wildfire occurring is considered to be the result of satisfying comprehensive conditions including sufficient forest fuel, high forest fire-danger weather ratings and ignition source in this paper. In order to further study the causes and potential risks of wildfires. An assessment algorithm used for wildfires occurring risk is proposed by combining trapezoidal fuzzy theory and FTA. Furthermore, Xiangxi was chosen as application example, and the result shows that the top five dangerous BEs are ‘High average temperatures (X1)’, ‘illegal sacrifices (burning) (X23)’, ‘large underground humics (X7)’, ‘large weeds and dwarf shrubs (X11)’, ‘luxuriant tree branches (X14)’ exist highly risk. Finally, based on the evaluation results, suggestions are provided for the above basic events with greater risks.
In Vitro Bioactivity Study of Thermoplastic Starch/Bentonite/Hydroxyapatite Composites for Biomedical Applications
Authors: Husna Zakaria Nurul , Muhammad Noorhafiza , Bakri Abdullah Mohd Mustafa Al , Noor S N F M
Published: March 2020

Potato starch composites film incorporating hybrid bentonite and hydroxyapatite (HA) were investigated as novel biomaterial for potential biomedical applications. The selected potato starch/bentonite composites were prepared using different ratios of HA (1, 5 and 10 wt%) through solution casting technique. The in vitro bioactivity of potato starch composites film and neat potato starch film to be used as a control were evaluated through immersion in simulated body fluid (SBF) at 37°C for 14 days. The composites films were also subjected to characterization such as morphology, pH evaluation and biodegradability analyses following immersion in SBF. The obtained results showed that the incorporation of HA into starch/bentonite composites improves the bioactivity of the starch hybrid composites by formation of apatite layer on the surface. Increasing HA content in the composite is directly proportional to the quantity of the apatite formed on the scaffolds indicating active surface interactions between the composites and SBF. Furthermore, increasing HA content contributes also to lowering biodegradability of the composite decreases.
Simulation-Based Optimization of Plastic Injection Molding Parameter for Automotive Car Wheel Fabrication Using Response Surface Methodology (RSM)
Authors: Rosli M. U. , Khor C. Y. , Nawi M. A. M. , Ismail Haris , Ishak Muhammad Ikman
Published: March 2020

In the era of revolution industry 4.0, most companies can expect metal-to-plastic conversion to result in cost savings. The objectives of this study are to find the most appropriate material composition and the injection molding process parameter to produce a plastic car wheel as a substitute for metal and aluminum alloy. The Polyetherimide (PEI) with different compositions are simulated using MoldFlow software and optimized the quality of injection molding process parameter by using Central Composite Design (CCD) in Response Surface Methodology (RSM) as to get an optimal response and meets the car wheel requirement specification. The crucial factors are melting temperature, injection time and cooling time. The quadratic model fits the model response. As the results, the optimum values suggested by the software were melt temperature of 370.27°C, 1.8s of injection time and 2599.89s of cooling time for 0% of filler (pure PEI). With small differences error value between solution and simulation, 0.1% of shrinkage and 0.9% for warpage, the results were acceptable.
Spectrophotometric Analysis Assay for the Measurement of Arsenic Using Nanocomposite of Silica and Graphene
Authors: Uda M. N. A. , Hashim Uda , Subash Gopinath C. B. , Afnan Uda M. N. , Parmin N. A. , Adam Hussain , Ibrahim Nur Hulwani
Published: March 2020

According to media reports in today’s world, millions of people across the globe are suffering from arsenic (As) toxicity. Arsenic heavy metal occurs in different oxidative states in the environment and enters in the food chain through soil and water. In the agricultural field, irrigation with arsenic contaminated water has a higher level of arsenic contamination on the top soil, which may eventually affects the quality of crop production. The major crop like rice requires a considerable amount of water to complete its lifecycle. In Asian countries like Malaysia, Brunei, Indonesia, and Thailand, arsenic intake from rice diet is significantly higher, as rice plants have a special ability to take up arsenic from the soil and water used in irrigation. The transfer of arsenic from soil to plant systems is a serious issue that leads to considerable human exposure in a dangerous way. The applications of nanotechnology play a vital role in many research fields. And therefore, this research, employs the implementation of nanotechnology approach such as silica-grapheme nanocomposite that could be able to minimize the Arsenic heavy metal contamination issues.
Development of Internet of Things (IOT) Based Electronic Reader for Medical Diagnostic System
Authors: Afnan Uda M. N. , Jambek Asral Bahari , Hashim U , Uda M. N. A. , Bahrin M. A. F.
Published: March 2020

This paper is about an experiment for performing foodborne pathogens electronic reader using wireless sensing Internet of Thing (IoT). There are limited number of electronic readers for biosensors application with wireless internet connection. This research is to overcome the problem of commercial available electronic reader based on biosensor application method that only can be perform in offline or standalone device. This paper shows a complete system on how the data from electronic reader can be collected, easily understand by user and transfer data through the wireless internet connection via platform of IoT. There are three stages that is coding modification, android application development and transmit data to cloud storage. The NodeMCU microcontroller was used as a transfer medium for transfer data to internet. The Android Studio software was used for mobile application development. While, Arduino software was used to create a programming code to upload in NodeMCU microcontroller.
New High Strength Water Retaining Interlocking Pavers Block for High Mechanical Performing Pavement and Reducing Runoff
Authors: Abdullah M A H , Rashid N A , Abdul Rani A L , Omar M F
Published: March 2020

Interlocking paver blocks are used widely at low speed traffics road especially surrounding building complexes. Interlocking paver blocks are easy to install and provide aesthetic finishing to the landscape. However, usage of interlocking blocks in large areas reduce ground permeability that lead to higher runoff. New interlocking paver blocks were investigated to reduce runoff and the effect on its mechanical performance. Two types of paver block produced which is paver block with permeable concrete and paver block with void in the center. The results show that the compressive strength for paver block with permeable concrete is averagely higher than paver block with void by 31.5% while the flexural strength of all samples were between 1.0 to 1.7 MPa. Paver block with void recorded highest reduction of runoff compared to paver block with permeable concrete which is 25.5%. This is in line with water infiltration test result. It was concluded that the water retaining performance of paver block increase with increment of void volume and increase in void volume caused reduction on compressive strength of interlocking blocks.
Manufacturing of cast in situ ultra high performance fibre reinforced concrete (uhpfrc) - Workability, Tensile and Compressive Strength
Authors: Mohd Zahid M. Z. A. , Abu Bakar B. H. , Mohamed Nazri F. , Ayob A. , Abdul Razak R.
Published: March 2020

The aim of this article is to share on the manufacturing process of Ultra High Performance Fibre Reinforced Concrete (UHPFRC) without heat curing or steam curing, hence, it makes UHPFRC possible to be used for in situ application. The common materials used in numerous previous studies were used in this work to produce UHPFRC: Cement type CEM I, fine sand, silica fume, water and third generation high range water reducer. Three tests were conducted, i.e. Compression test and slump flow test and tensile test. The targeted slump flow is in the range of 600 mm to 750 mm, minimum targeted compressive strength and tensile strength test is 115 MPa and 10 MPa, respectively. In addition, the UHPFRC must exhibit strain hardening properties. As a result, this study proposes the mix proportion of the above mentioned material used to produce UHPFRC which is suitable to be utilized for in situ application.
Mechanical and physical properties of bottom ash/fly ash geopolymer for pavement brick application
Authors: Wan Ibrahim Wan Mastura , Bakri Abdullah Mohd Mustafa Al , Ahmad Romisuhani , Mohd Tahir Muhammad Faheem , Mohd Mortar Nurul Aida , Noor Azli Muhammad Amirul Aziem
Published: March 2020

Geopolymers are amorphous to semi-crystalline with excellent physical and and mechanical properties. It has been used to become a potential binder to Ordinary Portland Cement (OPC) in certain applications due to its lower emission of carbon dioxide gases and low energy consumption sustainability criteria. Bottom Ash (BA) is one of the main industrial by-products and it is produced at the bottom of the furnace during the coal combustion process in electricity generation. The application of BA as a sustainable construction material in the building industry plays an important role in order to decrease the volume of residual waste and conserving existing natural fine aggregates. The objectives for this study is to study the effect of fly ash to bottom ash ratio and to determine the optimum ratio of fly ash to bottom ash geopolymer for pavement brick application. The chemical composition and morphology of geopolymer reinforcement was analysed by using X-ray Fluorescence and Scanning Electron Microscope. The molarity of the Sodium Hydroxide solution is fixed at 12M. The parameter used in this study are different weight percentage of fly ash geopolymer 0 wt%, 10 wt%, 20 wt%, 30 wt% and 40 wt%. The solid to liquid ratios for this study is 2.0. The curing temperature of this study is 80°C and the curing time is 24 hours. 100% of bottom ash geopolymer is used as a control variable for this study.
Production of Iron Oxide Nanoparticles by Co-Precipitation method with Optimization Studies of Processing Temperature, pH and Stirring Rate
Authors: Hui Beh Hui , Salimi Midhat Nabil
Published: March 2020

Iron Oxide Nanoparticle, maghemite (γ-Fe2O3) has received great interest and extensively used in biomedical field. Optimization studies were carried out in the production of γ-Fe2O3 nanoparticles by using co-precipitation method. Iron (II) chloride and iron (III) chloride were used as precursors which are dissolved in distilled water followed by centrifugation, drying and grinding process in order to obtain dried dark brown precipitated γ-Fe2O3 powder. The effect of different processing temperature (30 to 70°C), pH (10 to 12) and stirring rate (300 to 700rpm) towards crystallite size of γ-Fe2O3 were investigated by using Response Surface Methodology (RSM) and Central Composite Design (CCD). Based on analysis of variance (ANOVA), the determination coefficient, R2 obtained was 0.9890 where stirring rate was the parameter that affected the most on the crystallite size. Optimization processing condition that produce smallest crystallite size of 7.3657 nm was 50 °C, pH 11.40 and 550 rpm by using Design of Expert software (DOE). Characterization of γ-Fe2O3 powder samples were evaluated by using different analytical tools such as Fourier Transform Infrared (FTIR), X-Ray Diffractometer (XRD) and Scanning Electron Microscope (SEM). Iron oxide group (Fe-O), hydroxyl (OH-) group and carbon dioxide (CO2) were identified in FTIR spectrum. The characteristic peak occurring at 2θ = 35.4° indicated presence of γ-Fe2O3 in the samples. The γ-Fe2O3 particles appeared generally in spherical shape in SEM analysis.