bluuebunny/crossref_metadata_2025 huggingface dataset:
The effectuality of animated media for teaching biotechnology materials in indonesian rural primary schools
Authors: Fitriyah S M , Imamyartha D , Bilqis M , Finali Z , Latifah A A , Harfiyani A I
Published: June 2020

Learning technology has been an intriguing medium which may escalate class engagement and students’ interests into learning. However, not every student is entitled to equal opportunity to be able to benefit from this often considered luxury for some, for instance for those living in the rural areas of Indonesia. This study aims to measure the effectiveness of animated media developed for teaching biotechnology materials in rural primary schools in Indonesia. Four teachers from two rural primary schools in the east of Java, Indonesia participated in this study. The teachers and research team collaborated in a lesson study style activities and take turn to use the media to teach materials regarding biotechnology for their students. This mixed method study utilised data gathered from students’ pre-test and post test and the results of interviews with the four teachers, and participatory observation reports of the activities. The results of this study indicated that the media were significantly effective to improve students’ mastery of biotechnology materials, which was facilitated by the affordance of the media to alleviate students’ excitement, autonomy, and focus on learning.
The analysis of learning materials implementation based on research-based learning to improve the elementary school student’s creative thinking skills in solving “polamatika” problems
Authors: Wahyuni S I , Dafik  , Farisi M I
Published: June 2020

The student's creative thinking skills are very important, but in fact, it has not met an expectation. In this study, researchers tried to apply learning materials base on research-based learning to improve their creative thinking skills. This research is using a mixed method, namely a combination of quantitative and qualitative methods. Quantitative method will be used to analyze the type of interval data of student learning outcomes, while the qualitative method will be used to analyze an ordinal data of creative thinking skills. The research respondents consist of two classes, namely a control class as many as 31 students and an experimental class as many as 30 students. The score of the independent sample t-test from post-test shows that between the control class and the experimental class has a significant difference with the sig (2-tailed) value is 0.000 (p = <0.05). It can be concluded that the implementation of learning materials based on research-based learning can improve the elementary school students creative thinking skills in solving “polamatika” problems.
The development of Islamic-based PISA question models on the topics concerning quantity and its enhancement to improve student problem solving skills
Authors: Indahwati T , Dafik  , Irvan M
Published: June 2020

Problem Solving skills are very important to facilitate students in understanding and solving mathematical problems and in everyday life. But what is often found is low student problem solving skills, and even Indonesian students' PISA math results are ranked low. This study aims to: (1) describe the process of developing Islamic-based PISA model questions on content quantity and enrichment to improve students' problem solving skills; (2) describe the results of the development of Islamic-based PISA model problems on topics concerning Quantity and enrichment in a valid and practical manner; and (3) reveal the improvement of students' problem solving skills after applying the Islamic-based PISA model questions on the content quantity and enrichment. The research subjects were students of class VIII-A MTs Plus Baitussalam Toyamas, Banyuwangi regency in the even semester of the 2018/2019 academic year. The research design used two stages, namely the preliminary stage and formative evaluation. The stages of formative evaluation include the stages of self evaluation, prototyping (expert review, one-to-one, and small groups), and field tests. The research instrument used was a validation sheet; Observation sheet and student response questionnaire, and student learning outcomes test. Data analysis techniques include data analysis process development questions, validity, reliability, and problem solving skills of students. The question development design consists of two stages, namely preliminary and formative evaluation. The formative evaluation stage includes self evaluation, prototyping (expert review, one-to-one, and small groups), and field tests. The results showed that the development of a prototype device produced 10 items of Islamic-based PISA mathematical problems that were valid and practical. The results of the prototype validation test have validity values above 0.361 and the results from the table show r-count> r-table so that the questions have high reliability, implying that they can be used to determine the level of problem solving skills of students. The average results of the problem solving skills in field test are 9 students (28.13%) very good category; there are 13 students (40.63%) in the good category; there are 7 students (21.88%) in the sufficient category; and there are 3 students (9.40%) included in the less category. Overall, the average problem solving skills of students reached 35.43% with a good category. An increase in students' problem solving skills after students have been trained to solve PISA model problems, so students are able to understand and solve material on quantity problems; they have applied the correct problem-solving strategy.
The analysis of the implementation of discovery-based learning to improve students’ creative thinking skills in solving the number multiplication problems
Authors: Sumartiningsih  , Dafik  , Suparti
Published: June 2020

This study aims to investigate the analysis of the implementation of discovery-based learning to improve students’ creative thinking skills in solving the number multiplication problems. Students' creative thinking skills are very important, even though the current condition is not as well as the expectation. This type of research used is a mixed method, which is a combination of quantitative and qualitative methods. Quantitative methods are used to analyze interval data types for student learning outcomes, while qualitative methods will be used to analyze ordinal data of creative thinking skills. The research respondents consisting of two classes, namely 30 students for control class and 30 students for experimental class. The results showedthat implementation of discovery-based learning to improve students’ creative thinking skills in solving the number multiplication problemsin the experimental class is more effective than control class used conventional learning. The independent sample t-test from the post-test showed that there was a significant difference between the control class and the experimental class with the sig (2-tailed) value is 0.000 (p = <0.05). It can be concluded that implementation of discovery-based learning can improve students’ creative thinking skills in solving the number multiplication problems.
The analysis of application of learning materials based on inquiry based learning and its effect on critical thinking skills of students in solving fractions problems
Authors: Chususiyah S , Dafik  , Prastiti T D
Published: June 2020

Critical thinking skills are needed to improve mathematical abilities in 21st century. However, with the current learning model, showing students' critical thinking skills did not increase significantly. This study aims to analyze usage inquiry-based learning and find out their effects on students' critical thinking skills in solving fractions problems. Research design using research a mixed methods that is a combination of quantitative research and qualitative research. Research respondents from class 3 were divided into a control class of 22 students and an experimental class of 20 students. Data collection is done through observation sheets, tests, documentation and interviews. The results showed that after the implementation of inquiry-based learning, the percentage of students' critical thinking for the control class was a very critical of 0%, critical 9%, 45% for quite critical, and 46% for less critical and not critical. Starting while for the experimental class the results were very critical 25%, critical 50%, quite critical 15%, less critical 10%, not critical 0%.. The t-test score of the independent samples from the post-test showed that there was a significant difference between the control class and the experimental class with a sig (2-tailed) value of 0.001 (p = <0.05). It can be concluded that the application of inquiry-based learning can influences students' critical thinking skills in solving fractions problems.
The implementation of project-based learning in STEM activity (water filtration system) in improving creative thinking skill
Authors: Ridlo Z R , Nuha U , Terra I W A , Afafa L
Published: June 2020

This research is concerned with STEM activity making water purifier filter. The experiment class applies project-based learning, while the traditional class is taught using conventional teacher talk or explanation. This research used triangulation methods. The quantitative methods were applied to analyze student achievement tests according to creative thinking skills in making water filtration design. The qualitative method was applied using observation of student activity, presentations, and interviews for selected students. The student achievement test was analyzed and coupled with pretest and post-test quasi-experimental research. The collected data were analyzed using inferential statistics in the form of an independent sample t-test to express creative thinking skills. The result of the pre-test indicated the sig (2-tailed) of 0.965, with a significant value of 5% (p>0.05). This result indicated two classes were homogenous. The data analysis of the post-test indicated value of sig (2-tailed) 0.00 where p≤0.05, which implied the student achievement test on creative thinking skills criteria in the experimental class was better than that in the control class.
Cloud Platform Task Scheduling Strategy for Power Dispatching Automation System Based on Artificial Intelligence Algorithm
Authors: Li Shiming , Li Bo , Wang Ke , Guo Wenxin , Liu Yang , Zhao Ruifeng , Zeng Jianyong , Li Haobin , Lin Yueting
Published: June 2020

As the command and control center of the whole power grid operation, the power dispatching system has huge and complex data information, which makes the traditional power grid dispatching information platform difficult to meet the needs of power grid operation monitoring in information integration, analysis, calculation and storage. Therefore, cloud platform is introduced into the construction of power dispatching automation system. This paper takes the power dispatching automation cloud platform as the research object, studies its architecture, and proposes a cloud platform task scheduling model based on improved particle swarm optimization, aiming to improve the efficiency of cloud computing resource allocation, improve the quality of cloud services, and solve the task scheduling problem of the power dispatching automation system.
Research on Tibetan Speech Recognition Speech Dictionary and Acoustic Model Algorithm
Authors: Gong Chunwei , Li Guanyu , Luo Lisai
Published: June 2020

This paper mainly conducts related research on the algorithm of the Tibetan acoustic model. Firstly, a Tibetan Lhasa pronunciation dictionary is constructed based on words and monossssyllables, and then compared. The experimental results show that the phonetic dictionary constructed by words is superior to the phonetic dictionary constructed by monosyllables. At the same time, taking phonemes and single syllables as the modeling unit of the acoustic model, the modeling unit of the acoustic model was studied and a comparative experiment was carried out. Experimental results show that phonemes are better than single syllables as acoustic model modeling units.
Automatic retrieval of network hotspot information based on improved DBSCAN clustering algorithm
Authors: Deng Dingsheng
Published: June 2020

With the continuous development of the Internet in the world today, the proliferation of network information makes it difficult for people to effectively screen out current hotspot information. In order to solve the problem of how to retrieve the current hot information quickly and accurately under the massive network information, an automatic network information retrieval method based on the improved DBSCAN clustering algorithm is proposed. The retrieved related keywords are combined to reduce the feature terms, which effectively solves the problem of repeated acquisition of public resource object neighbourhoods, greatly improves the accuracy and efficiency of the clustering algorithm, and realizes automatic retrieval of network information hot spots. The results show that the automatic network information retrieval method based on the improved DBSCAN clustering algorithm proposed in this paper can quickly and accurately find the current information hotspots on the Internet, help users to obtain the hotspot information of their own most interest, and promote the progress and development of the Internet.
The Application of BP Neural Network Algorithm in Rapid Design of the Vertical Boom of Bridge Inspection Vehicle
Authors: Zhao Jian , Li XueLing , Ma HongFeng
Published: June 2020

During the analysis of the vertical boom of bridge inspection vehicle, it is not easy for the designer to provide a good design scheme quickly. In order to find a professional CAD software which can quickly obtain the ideal design scheme, the BP neural network algorithm is adopted to obtain the design solution by means of mapping. The better schemes of vertical boom are selected for different types of bridge inspection vehicles. These schemes are used as sample data to train the BP neural network for obtaining weights and thresholds. The trained neural network is used for the rapid design of the vertical boom of bridge inspection vehicle. As long as the design parameters are input, the design scheme of the vertical boom can be output directly.
Data association rules mining method based on genetic optimization algorithm
Authors: Xu Binghui , Ding Sizhe , Li You
Published: June 2020

Traditional data mining methods usually need to visit the database repeatedly to determine the frequent item set, which makes the data server burden heavier and reduces the efficiency of data mining. To solve this problem, this paper combines the immune mechanism and genetic algorithm dynamically to improve the traditional genetic algorithm (GA), and proposes a data association rule mining method based on improved immune genetic algorithm (IIGA), which realize the effective analysis of big data. The experimental results show that the algorithm we proposed is better than immune genetic algorithm and Apriori algorithm in data mining time and association rules mining accuracy, which can be better applied to data analysis. The research results have positive reference significance for the field of data mining.
Research and Application of Path Planning Algorithm in Complex Terrain
Authors: Liu Yunxiang , Xu Wei
Published: June 2020

Aiming at the failure of path planning in complex three-dimensional terrain, a path planning algorithm based on Hopfield neural network is proposed. According to the three-dimensional terrain, the undulating terrain and obstacles are transformed into a calculable regular figure, and the terrain function model is established according to the flow field control equation; the terrain function model is effectively integrated with Hopfield neural network algorithm. The algorithm is applied to complex three-dimensional terrain environment, can avoid undulating terrain and obstacles, and find an optimal path, which lays an important foundation for the navigation vehicle path planning.
A multicast routing restoration algorithm based on the n-person non-cooperative game in multi-domain optical networks
Authors: Wu Qiwu , Cheng Hao , Zhou Yang , Long Zhang , Jiang Lingzhi
Published: June 2020

Aiming at the restoration problems for multicast service in multi-domain optical networks, a multicast routing restoration algorithm in multi-domain optical networks based on the n-person non-cooperative game is proposed by adopting the Breadth First Search (BFS) strategy and n-person non-cooperative game theory. This algorithm optimizes the searching sequence of BFS algorithm and reduces the searching scope by the competitive selection relation of the game theory. The algorithm analysis and experimental results show that the algorithm has low time complexity, reduces the computational time of the restoration path, and reduces the blocking rate of the multicast restoration service.
AGA-LSTM: An Optimized LSTM Neural Network Model Based on Adaptive Genetic Algorithm
Authors: Bai Chenyao
Published: June 2020

With the increase of the hidden layer, the weight update of the LSTM neural network model depends heavily on the gradient descent algorithm, and the convergence speed is slow, resulting in the local extremum of the weight adjustment, which affects the prediction performance of the model. Based on this, this paper proposes an optimized LSTM neural network model based on adaptive genetic algorithm (AGA-LSTM). In this model, the mean squared error is designed as the fitness function, and the adaptive genetic algorithm (AGA) is used to globally optimize the weights between neuron nodes of the LSTM model to improve the generalization ability. The experimental results show that, on the UCI dataset, the prediction accuracy of the AGA-LSTM model is greatly improved compared to the standard LSTM model, which verifies the rationality of the model.
A class of numerical methods for determining the inclusion relation of positive invariant sets in linear dynamic systems
Authors: Li Xiaoqian
Published: June 2020

Positive invariant sets play an important role in the system theory and a:lication of dynamic systems. Firstly, in order to judge the inclusion relation between positive invariant sets of systems, the equivalent conditions for judging the inclusion relation of special positive invariant sets are derived for two special positive invariant sets. Three specific positive invariant subsets are discussed, and the verification of the inclusion relation of positive invariant sets can be transformed into a class of numerical problem in the form of optimization, which simplify the conditions of readily implemented. Finally, numerical examples are given to illustrate our conclusion.
Research on user behavior recommendation algorithm for business process
Authors: Li Kunying , Ding Yu , Li Xiaolian , Shi Ying , Zhang Wenting
Published: June 2020

In this paper, ProcessLink is a user behavior judgment and recommendation algorithm based on the information system business process. The purpose is to provide users with reliable unknown process selection. The algorithm idea is as follows: firstly, collect and analyze historical data, establish the relevance feedback set of “Time-Role -Process”, establish the interest relationship decision table of each role according to the process flow link behavior between users. Starting from each process node, the Apriori algorithm completes a round of initial filtering on these relationships, and obtains the similarity association degree of each role node in the process link; finally, the recommendation sorting is carried out through the recommendation algorithm model matching and scenario similarity calculation. This research realizes the accurate prediction of the user’s next link and gives the corresponding opinions. The experimental results show that the algorithm is effective and accurate in the business process.
Target detection algorithm based on improved multi-scale SSD
Authors: Cao Jianying , Kong Yan , Zhang Xinlu , Li Yongjia , Xie Xiaofeng
Published: June 2020

The traditional SSD algorithm has a serious abstraction of feature extraction content, which makes it difficult to achieve effective detection of small targets. At the same time, the problem of feature layer fusion is difficult due to different scales. In this paper, an improved SSD based target detection algorithm is proposed. By introducing feature enhancement method, the adjustment steps of high-level feature size are omitted, Which makes it unnecessary to reduce the dimension of features, and at the same time, it uses the multi-scale candidate area which accords with the proportion of pedestrians in the detection network to enhance the feature extraction ability of small targets, effectively improves the accuracy and operation speed of SSD algorithm, and saves the loss of the network.
Research on Cooperative Encirclement Strategy of Multiple Underwater Robots based on Wolf Swarm Algorithm
Authors: Luan Xiaolin , Sun Yuting
Published: June 2020

The problem of multi underwater vehicle cooperative seizing is an important part of the research of multi-underwater-vehicle cooperative task self-organization, which is widely used in military, rescue and other fields. In this paper, the problem of multiple underwater vehicles (AUVs) encircling is a group of AUVs, which can encircle a target body through cooperative cooperation. The stability of the system can be improved by applying the wolf swarm algorithm to the multi underwater robot system. In this paper, we mainly study the problem of multiple underwater vehicles in two-dimensional space. Wolf swarm algorithm abstracts three kinds of swarm intelligence behaviors, calling wandering behavior, summoning behavior and preying behavior, puts forward a new swarm intelligence algorithm by simulating Wolf-swarm predation. The effectiveness of the algorithm is verified by numerical simulation.
Application of K-means clustering algorithm in the analysis of college students’ online entertainment consumption
Authors: Li Huanqin
Published: June 2020

It is benefit for college students to explore the characteristics of online entertainment consumption and give them appropriate guidance. The Online entertainment consumption of some undergraduate students is investigated in this paper, and the K-means algorithm is used in the survey to carry out clustering analysis. The results show that in terms of online entertainment consumer behaviour, the consumption amount is polarized, consumption is gender-differentiated, consumer contents are diversified, consumer has more copyrighted-awareness., etc. From the clustering results, the K-means algorithm is more effective for analyzing the characteristics of online entertainment consumption behavior.
Research on the location of waste battery recycling center for new energy vehicles based on a heuristic algorithm of greedy take-off
Authors: Wei Qian , Zhang Mengya , Zhang Yao , Xiong Xinyi , Qin Jiarui
Published: June 2020

The peak period for the decommissioning of new energy vehicle power batteries in China is approaching, and it is imminent to establish a complete and efficient waste battery recycling system. In order to improve the recovery efficiency of waste batteries in China, this paper constructs a new type of waste battery recovery system, and proposes a new method to solve the location problem of the waste battery recovery center by using a method of goal ranking and a heuristic algorithm of greedy take-off. The grey prediction method of amplitude compression is used to simulate and predict the total battery recycling amount of each recycling station in a city, and then establishing a dual-target location model with the goal of maximizing total revenue and optimizing brand serviceability. Finally, the model is solved by the heuristic algorithm of greedy take-off to obtain the optimal location scheme of recycling center, which proves the feasibility of the model.
Network Topology Monitoring Method of Large Scale Autonomous System Based on OSPF Protocol
Authors: Dong Yue , Zhong Lei
Published: June 2020

In order to monitor the OSPF (Open Shortest Path First) large-scale autonomous system in real time, for the shortcomings of current topology discovery methods based on OSPF protocol, firstly a hierarchical modelling method of OSPF large-scale autonomous system is proposed, which describes the autonomous system quantitatively. Secondly, a topology generation algorithm based on the link state database and an autonomous system model comparison algorithm are put forward in this paper. Finally, the experiment of monitoring the autonomous system in the actual network is carried out. The link state database is collected on any router in each OSPF area. The experiments show that the model and algorithm can be used to obtain the network topology map completely and accurately without the extra network burden, and to monitor the changes of network topology in real time. The model and algorithm proposed in this paper are helpful to realize the topology generation and monitoring of the large-scale autonomous system.
Design of Control System for Pressure Vessel Inspection Robot Based on PLC
Authors: Tian Weiwen , Zhang Wenzhi , Zhao Xu
Published: June 2020

In order to improve the detection efficiency and quality of pressure vessels, a pressure vessel inspection robot control system based on programmable logic controller PLC is designed. First, the basic structure of the inspection robot is briefly introduced, and then the software and hardware of the control system of the inspection robot are designed in detail. Hardware design includes overall hardware design, hardware selection, hardware electrical circuit design, actual layout of hardware, etc. Software design includes software design process and program design, among which Mitsubishi FX5U series PLC and FX5-40SSC-S motion control module are the core of the control system. Finally, it is experimentally verified that the control system can control the detection robot well and has high engineering value.
Tactical preference based objectives for solving an evasion problem of fighter in air combat
Authors: Yang Zhen , Zhou Deyun , Zhao Yiyang , Kong Weiren , Zhang Kai , Zeng Lina
Published: June 2020

Evasive maneuvers of fighter only consider the objective of miss distance in traditional air combat decision problems. The amalgamative tactical demands of achieving self-conflicting evasive objectives in actual air combat are taken into account in this paper. A method to generate a strategy of evasive maneuvers based on tactical preference is proposed. Tactical preference is given to higher miss distance, less energy consumption, and higher terminal superiority. The evasion problem in air combat is defined and reformulated into a multi-objective optimization problem, which is solved by a multi-objective evolutionary algorithm. Simulation results show the feasibility and effectiveness of the proposed method, and a set of approximate Pareto-optimal solutions are obtained to satisfy the tactical preference.
Study on Fault Diagnosis of Optical Measurement Equipment Based on Fault Tree Analysis
Authors: Hu Changde , Wang Zhaohui , Zheng Xiaotian , Cao Xiaojun , Ding Meng
Published: June 2020

A kind of method about fault diagnosis of optical measurement equipment based on fault tree analysis(FTA) is proposed. Firstly the system is decomposed into several subsystems by control loop, and then generated the fault tree for each control loop. The whole fault tree of the system is obtained by the event status with fault tree of all control loops deduced. Moreover, a set of system platform was developed with the Visual Basic software. Finally, a photoelectric encoder fault case of optical measurement equipment is analysed with the platform and method. It shows that the proposed method in this paper improves the automation of fault tree construction and has certain utility and better future for application.
A study of personalized training strategies for vocational education based on big data systems
Authors: Shi Yang , Xie Jingwei
Published: June 2020

The investigation and analysis of personalized training of vocational education based on big data system has the characteristics of simplicity, operation and persuasiveness. This article comprehensively elaborates on the characteristics and meaning of personalized education, combines the big data analysis method and selects five colleges and universities in Guangzhou to conduct a questionnaire survey, to find out the problems in the personalized training of vocational education, and to propose measures.
Design and Implement of Automatic Test Environment for ETCS On-board Equipment
Authors: Renpu Xue , Hongliang Geng , Changbo Ke , Kai Yang
Published: June 2020

ETCS on-board equipment is a typical safety-critical system, its reliability plays a vital role in the safe driving of trains. ETCS on-board equipment has huge functions, complicated structure, a large number of test cases and difficult implementation. Introducing automated testing into on-board equipment testing is a problem that needs to be solved urgently. Based on the interface and functional characteristics of ETCS on-board equipment, this paper adds the design of test management unit, the division of test engine and the separation of test scripts based on the existing test environment, and develops a set of simple and efficient ETCS on-board equipment dedicated automation test environment. The application shows that this set of test environment realizes the automatic test of all test sequences of ETCS on-board equipment, which can significantly improve the test efficiency, reduce the tester’s work intensity, and improve the test accuracy.
Structural design and motion simulation of walking aid
Authors: Ma Ke , Li Mengyuan , Yuan Minghai , Lin Junjie , Pei Ziqing
Published: June 2020

The advantages and disadvantages of existing walking aids on the market are analyzed and improved. The overall structure is designed and analyzed, and the length of each segment is considered comprehensively from the perspective of adapting to human body. The 3D model was established in SOLIDWORKS, and the motion simulation analysis was conducted in ADAMS to obtain the speed, step distance and other parameters during the movement. The results were compared and analyzed with the applicable human motion parameters to verify its feasibility.
Wearable respiratory strain monitoring system based on textile-based capacitive strain sensor
Authors: Jun ZHONG , Chun-na LI , Wen-liang ZHU , Hong ZHOU , Yong-feng LIU , Xue-feng HAN
Published: June 2020

Respiratory state analysis based on respiratory strain monitoring plays an increasingly important role in the assessment of the continuous dynamic physiological state of the human body. The proposed respiratory strain monitoring system uses the STM32F411 single-chip microcomputer as the main control chip, combined with the FDC2214 capacitor-to-digital converter, collects the capacitance value of the flexible cloth-based capacitive strain sensor through the IIC method, and sends the collected result to the upper computer for processing and analysis through Bluetooth. The device collects the respiratory strain signal of the chest in three motion states: stationary, walking, and running. Through data acquisition and algorithm processing, it can clearly display the waveform of respiratory strain, and the extraction accuracy of the respiratory rate is ±1rpm. The experimental results show that the system has good stability and accuracy, strong anti-interference ability, and can meet the requirements of continuous dynamic high-precision respiratory rate monitoring.
Analysis on Thermal-Force Coupling Performance of a Vehicle IGBT Packaging Module
Authors: Chen Yajuan , You Fei
Published: June 2020

Based on the basic theory of thermodynamics and finite element, the thermal characteristics and structural mechanics simulation are carried out taking an automobile IGBT packaging module as the research object. Then the distribution of temperature, thermal stress and deformation of IGBT are obtained. The thermal force coupling performance of the structure is judged according to the analysis results, so as to provide theoretical reference for the design and selection of subsequent radiators.
Research on Public Facilities Design Based on Human-Computer Interaction Emotional Concept
Authors: Wang Zhenyu , Guo Xiaofang , Luo Jianwen , Feng Linhao , Lyu Jianhua
Published: June 2020

In the current era, human-computer interaction design has penetrated into environmental design and it has played a huge role. At The application of planning in environmental design has become the focus of people’s research. Public facilities are an important carrier of In addition to being practical, it also undertakes the task of beautifying the city. When new social phenomena and residents’ needs change, under the restrictions, functional compounding of public facilities is the inevitable way. This article analyzes the status of public facilities an The reasons for the introduction of functional composites in the design of public facilities are discussed, and the integration of emotional c The article comprehensively analyzes and summarizes the research on the human-computer interaction design of public facilities in the env The integration of technology and technology is to provide users with a convenient and practical service experience on the basis of aestheti The product of a higher level of human needs, its application in design meets the emotional communication of people, people and product The design must be planned according to the characteristics of the overall environment, combining the colors and forms of the surrounding One consideration, so that it cannot only meet the emotional concept and interaction design of environmental design, but also give full pla Function and utility.
Design and Implementation of UAV Self Stabilizing PTZ
Authors: Zhou Wei , Ning Chao , Lu Dace , Wei Suyuan
Published: June 2020

In this paper, a simple and practical two axis UAV self-stabilizing PTZ is designed and implemented. By connecting UAV and camera, UAV can stably track and shoot specific targets.
The Distribution of Pressure and Vorticity of Impellers with Single-Rotary and Multi-Rotary
Authors: Wang Yue , Liu Jin , Xu Juan , Ren Wanlong
Published: June 2020

The screw-type centrifugal pumps with different impellers are studied. The structure of single-rotary and multi-rotary impellers are designed by the CAD method. The governing equation of fluid flow and SST k-ω model are applied to simulate the internal flow field by computational fluid dynamics method. The pressure distribution and vorticity distribution are calculated and analyzed. It is found that the pressure distribution and vorticity distribution of the two types of impellers are significantly different. The pressure distribution of single-rotary impeller is relatively uniform. The vorticity of single-rotary impeller is larger than multi-rotary impeller.
Effect of pre-swirl stator on wake flow of an ducted propeller
Authors: Xu Juan , Hao Zongrui , Wang Yue , Ren Wanlong , Liu Gang
Published: June 2020

Numerical simulations of wake flow field of ducted propellers with and without pre-swirl stator are carried out by means of k-ω model. Then the velocities and the pressure fluctuations of the wake flow at different positions from the propeller are analyzed. The result shows that both the near-propeller blade velocity and the overall averaged velocity are obviously increased by the pre-swirl stator. Moreover, the pre-swirl stator can improve the surface pressure distribution near the blade but at the same time can enhance the pressure pulsation in the wake flow, especially at the downstream region.
3δ principle and boxplot method are used to estimate the cost interval of tower replacement technology
Authors: Li Jianqing , Zhu Xiaohu , Zhao Chen , Kang Jian
Published: June 2020

The replacement of tower is an important part of the technical reform of power grid lines. To analyze the rationality of the cost of the technical reform of tower, it is necessary to deal with the abnormal engineering data based on the cost data of previous projects. In this paper, the unit cost of tower replacement is sorted out by using 3δ principle and boxplot method, and the reasonable cost range is obtained to provide a basis for project investment.
Application of Ejection theory in Civil Aircraft and CFD simulation of an ejector
Authors: Bao Guangyu , Zhu Hongyu
Published: June 2020

The ejection theory is widely used in industrial fields such as drainage, cooling, vacuum. Many ejection devices are applied in civil aircraft due to their simple design and easy layout. This article introduces several types of ejection applications in multiple systems of civil aircrafts. Then a CFD simulation of the APU (Auxiliary Power Unit) compartment drainage ejector is conducted to analyse the influence on the drainage function by different arrangements.
Effect of Micro-arc Oxidation Time on Corrosion Resistance of Magnesium Alloys
Authors: Li Shihao , Liu Xin , Liu Shengjun
Published: June 2020

This experiment investigates the effect of time on the quality of the film during the micro-arc oxidation of magnesium alloys. The micro-arc oxidation surface morphology, the thickness of the film layer, and the influence on the corrosion resistance of the magnesium alloy were studied at different times. The experiment found that when the micro-arc oxidation time is controlled at 9 minutes, the surface quality of the film layer is the best, and the improvement of the corrosion resistance is more obvious.
The study of multi-parameter optimization design of ducted propeller
Authors: Hao Zongrui , Ren Wanlong , Xu Juan , Liu Gang , Wang Yue
Published: June 2020

Using the prediction method of surface element method and particle swarm optimization algorithm to study the multi-parameter optimization design of ducted propeller. Hicks-Henne function and Bezier function are used to fit the parameter curve of the ducted propeller. Taking the open water efficiency of the ducted propeller as the optimization target, the numerical simulation was performed. By analyzing the result, the multi-parameter coupling optimization design of the ducted propeller can be achieved. After optimization, the open water efficiency and thrust coefficient at the design points have been improved. Among the two fitting methods, the Bezier function gives a better result, which is consistent with the actual engineering. Within the range of the common speed coefficient of each ducted propeller, the efficiency and thrust are improved and meet the requirements. The feasibility and effectiveness of the multi-parameter coupling design of the ducted propeller are verified.
Standardization Construction of Fire Information Communication Operation and Management Based on Remote Communication
Authors: Yu Muzhi
Published: June 2020

With the continuous development of modern information and communication engineering, the management of the whole process of the standardization construction of fire information and communication operation management pays more attention to the intensification, standardization and standardization of project management. This is because fire fighting communication is an important part of fire fighting work and is the nervous system of fire fighting dispatch and organization and command. Therefore, the whole-process management can be sorted out, standardize the management process, establish a centralized management platform, and cover various aspects such as reserve project initiation, plan issuance, construction implementation, acceptance and payment, etc. However, in the standardization construction of individual fire information communication operation and management, the standardization construction of communication management system has not received high attention from relevant staff. This paper analyzes the current situation of standardization and disorder of fire fighting information communication operation management based on remote communication, and puts forward suggestions and solutions, which are conducive to the sustainable development of fire fighting industry in the future.
Construction of intelligent weapon system effectiveness evaluation index system based on Delphi method
Authors: Han Yueming , Liu Tie lin , Li Yuan , Zhang Zhi jie
Published: June 2020

In view of the lack of efficiency evaluation index system of intelligent weapon system and insufficient quantification and refinement of technical indexes, the research on the index system will be carried out from the perspective of completing the task of intelligent weapon system, and the verification index system will be established to realize the evaluation of weapon system efficiency, clarify the use background of intelligent weapon system, and analyze the strength composition of intelligent weapon system, Finally, Delphi method is used to build the effectiveness evaluation index system of the intelligent weapon system, which can be used as a reference for the comprehensive evaluation of the capability of the weapon system.

CLC number: TJ02 Document identification code: A
A crosstalk attack detection and location method based on distributed PCE in multi-domain optical networks
Authors: Wu Qiwu , Li Fang , Jiang Lingzhi , Liu Xueyue , Zhang Long
Published: June 2020

Aiming at the uncertainty problem of crosstalk attack detection and attack source localization in multi-domain optical networks, a new crosstalk attack detection and location method in multi-domain optical networks is proposed by using distributed PCE architecture and monitoring point placement strategy based on grey theory. Meanwhile, an example is given. The experimental results show that the proposed method is effective.
Comparison of Detection Technology for Runway Incursion Prevention in Airport Hot Spot
Authors: Jiang Li , Yang Ping , Ma Xiaodan , Yang Hao , Li Tuo , Yang JianHong
Published: June 2020

The prevention of runway incursion in hot spot of airports has always been one of the research hot spots in the field of international civil aviation. The detection of aircraft and vehicles in hot spots of airports has important significance in preventing runway incursion. This paper briefly introduces and analyzes several major technical systems used in the detection of active targets in hot spots of airports, and points out that microwave phased-array radar can provide parameters such as the distance, angle, speed, and direction of detection of targets. Compared with the traditional detection technology system, microwave phased-array radar has the advantages of high detection accuracy, low comprehensive cost, and easier acceptance.
Fault identification in T-connection transmission lines based on general regression neural network and traveling wave power angle
Authors: Fan Songhai , Gong Yiyu , Yang Jie , Liu Yiqin , Wu Tianbao , Ma Xiaomin , Luo Lei
Published: June 2020

In order to improve the accuracy of internal and external fault identification of T-connected transmission lines, a new method for identifying internal and external faults of T-connected transmission lines based on general regression neural network and traveling wave power angle was studied. The initial voltage and current traveling wave measured by each traveling wave protection unit of T-connected transmission line are transformed by S-transform, and the single frequency power angle after fault is calculated to form the sample set of fault eigenvector of T-connected transmission line. The established general regression neural network intelligent fault recognition model is used to train and test the sample data to identify internal and external faults. The simulation results show that the algorithm can accurately identify the internal and external faults of the T-connected transmission line under various operating conditions.
Research on Function Block Programmable Technology of Machine Vision
Authors: Zhong Chongquan , Dong Xianglong , Sun Hongtao , Xing Zhipeng
Published: June 2020

Aiming at the problems of low efficiency, difficult debugging and poor reusability of program in developing vision program by using text editing, a graphical program development technology is developed for vision program development. In this paper, the image processing algorithms and functions in the OpenCV vision library are studied and encapsulated according to the IEC61131-3 Function block specification. The interface model and program model of vision Function block are established. According to these two models, the vision Function block interface and the vision Function block program are described by using XML language, and the programming specification and instruction set of the vision Function block are established. The editing and compiling algorithm of the Function block program is researched to realize the configuration development environment and operate environment of the vision Function block program by using C plus plus language. Finally, the function of the software is tested and verified.
HDCDS-CDG: A Hierarchically Diffused Connected Dominating Sets based Compressed Data Gathering Scheme
Authors: Yu Xiaohan , Xu Wenlei , Chen Chao
Published: June 2020

How to reduce the energy consumption and prolong the network lifetime is one of the most important issues in Wireless Sensor Networks (WSNs). This paper proposed a Compressed Data Gathering (CDG) scheme based on Hierarchically Diffused Connected Dominating Sets (HDCDS). In the proposed scheme, a connected dominating set was constructed as the backbone of the network. All of the other nodes, i.e., non-backbone nodes, are connected to the backbone. Nodes in the backbone collect data from non-backbone nodes using the traditional data collection scheme. Data within the backbone are transmitted to the base station in CDG manner. Theoretical analysis and simulations showed that, when compared to the LEACH methods and traditional compressive sensing-based data collection methods, HDCDS-CDG not only reduces the consumption of network resources but also increases the lifetime of the network.
A New MAC Protocol for Intra-flight Data Link Based on Directional Antenna
Authors: Duan Rong , Li Yuan , Lv Na , Zhang Chong , Luo Zhou
Published: June 2020

Based on directional antenna, the capability of the intra-flight data link such as anti-jamming and low interception can be greatly improved. However, it also brings some problems: obtaining the destination node location information, meeting the real-time requirement of the burst traffic and sharing situation information with directional antenna, etc. To solve the problems, DP-CLMA (Dynamic Priority-Chain Link Multiple Access) protocol based on directional antenna is proposed, and some corresponding mechanisms are described in detail. By analyzing time delay performance of DP-CLMA protocol, the results show that DP-CLMA protocol adapts to intra-flight tactical data transmission.
Analysis of the ratio expansion watermarking scheme and its improvement
Authors: Dong Keming , Yu Xiaohan
Published: June 2020

Ratio expansion is a recently proposed, remarkable method for reversible data hiding in 3D meshes. The capacity and distortion are the two most common performance measures for data hiding. This paper analyses the ratio expansion method, and a novel mathematical framework is introduced and described, which proves that the magnitude of the distortion depends on three parameters. By appropriately selecting two of these parameters and a factor called “reference value”, the proposed method achieves reduction of the distortion. Another novel coding and decoding phrase is also proposed to get higher capacity. The experimental results show that this method improves the embedding capacity significantly without affecting the visual quality of 3D mesh model.