bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal design of tong dies parameters for drill pipe clamping manipulator
Authors: Sha Yongbai , Wang Guanghui , Zhao Xiaoying , Ouyang Tiancheng
Published: August 2019

The tong dies are one of the important components of the drill pipe clamping manipulator and they contact with the drill pipe directly, which are used to increase the friction force, improve the clamping effect and ensure the reliability of the drill pipe clamping. The parameters of the tong dies determine the performance of the clamp teeth, and in this paper, the objective function for parameter optimization of the tong dies is established, and the optimal solution is carried out, and the optimal parameters of the tong dies are determined.
Implementation and Application of Video Distribution Technology Based on OpenGL
Authors: Li Jiangeng , Fan Minjie , Wang Guangsheng , Sun Rihui
Published: August 2019

The panoramic video contains a wealth of information that vividly reproduces the surrounding scene. However, the larger video information puts forward higher requirements for data transmission, interactivity and real-time. All the video information directly shows that the phenomenon of stagnation and black screen is easy to occur, and the user’s traffic is greatly consumed, so that the payment cost of the terminal is large. In a traditional live video broadcast, the information displayed by the client is information with a fixed perspective. The client has no right to select the information, but only displays the obtained information. In order to solve the above problems, this paper has improved the traditional live broadcast mode. In this new live broadcast mode, the host side synthesizes the collected surrounding scene into a super wide-angle video. Then with the OpenGL technology, the host side performs the texture mapping, projection and other steps on the panoramic video. The host then distributes the video to the client. As a result, the client not only gets undistorted video, but also interacts with the server in real time. This approach greatly enhances the visual experience of the client.
A Fast Facial Landmarks Detection and Posture Classification Algorithm
Authors: Li Shengyong , Zhang Zhihua
Published: August 2019

In the field of face recognition research, the efficiency of facial landmarks detection and posture classification algorithm is a serious problem. This paper proposes a lightweight network based on convolutional neural network to quickly detect the facial landmarks of human faces. Based on this, the posture is predicted using the relative position of the obtained feature points. The model was tested by the face images captured in various scenes in real life. The accuracy and recall rate of the proposed algorithm were 96.3% and 98.2%, respectively. The test time for a single picture is 0.9ms. The proposed algorithm has less running time and its accuracy and recall rate are similar or even better than other models.
Design and implementation of book publishing topic selection system based on collaborative filtering algorithm
Authors: Bian Yuning , Li Yeli , Zeng Qingtao , Liu Mengyang
Published: August 2019

In view of the current book publishing topic planning may appear to rely on subjective experience of the problem. As well as book topic selection cannot be very good in line with the current hot vocabulary of this potential problem. Through the book sales market investigation, in line with the purpose of serving the book publishing industry. A collaborative filtering algorithm is used to design a business Intelligence Publishing topic selection system based on data mining. Follows are the process of processing data. First, we should put the crawl of online book information into the database. Second, filter to get the complete data we want. Finally, analysis the obtained data by collaborative filtering algorithm. This can be personalized to recommend the publishing house required keywords and the direction of the topic. Doing so can greatly reduce the burden on publishing house staff. It facilitates the development of the topic selection work of publishing house. Through the prediction of book publishing topic, we can understand the market law in a timely manner, cater to the customer’s consumption concept. In this way, we can greatly improve the efficiency of publishing house selection and reduce the consumption of human financial and material resources.
Electric Equipment Image Recognition Based on Decision Fusion of Multiple Classifiers for Electric Safety
Authors: Xiaoming Lu , Weiwei Wang , Guanqun Ma , Zejiu Ren
Published: August 2019

This paper proposes an electric equipment image recognition algorithm based on decision fusion of multiple classifiers. Considering the drawbacks of a single classifier, three classifiers, i.e., K-nearest neighbor (KNN), support vector machine (SVM), and sparse representation-based classification (SRC) are jointly used in the classification stage. The decision values from the three classifiers are linearly combined using a weighting strategy. So, the merits of different classifiers can be fused to enhance the recognition performance. Finally, based on the fused decision values, the object label of the test sample can be decided. To validate the effectiveness of the proposed method, images of three electrical equipments (insulators, power transformers, and breakers) are classified and compared with some other methods.
A new moving target detection algorithm
Authors: Fan Chaonan , Li Shixin , Zhang Hai , Tian Jicai , Ren Liqiang
Published: August 2019

The traditional GMM can easily detect the background as a moving target and is sensitive to the illumination changes. So this paper put forward a moving target detection algorithm combining the improved custom GMM with the five-frame interframe difference method. After the video image sequence is preprocessed, the GMM is added with the balance coefficient and the merged useless Gaussian distribution is combined. Then the improved GMM is combined with the five-frame interframe difference method to obtain the detected target. Simulation experiments show that the improved algorithm adapt the environment better. The improved algorithm reduces the impact of illumination changes on moving target detection, and significantly reduces the false detection rate.
Design of Intelligent Vehicle Multimedia Human-Computer Interaction System
Authors: DanNuo Jiao , Xin He , JingHan Xu , Ling Wang
Published: August 2019

In the wake of the continuous progress and development of the automotive industry, the automotive era has come. The development and progress of intelligent vehicle networking makes people spend more and more time in the car. Consumers’ demand and quality for automobiles are also gradually improving. While enjoying the improvement of work efficiency, rich material life and modern convenient transportation, consumers should also pay attention to driving safety, which makes the research on the direction of human-computer interaction of automobiles and their related products become an important part. In this text, the development status, related technology analysis and future development trend of intelligent vehicle multimedia Human-Computer Interaction system are discussed from various angles. Based on the research results of automobile human-computer interaction, different design concepts in different technical fields are put forward, that is, different technical fields are rooted in to provide the most efficient and safe interactive mode, such as gesture control technology, speech recognition technology, to achieve a full and convenient control interface, minimize distraction of drivers, reduce driving fatigue, and ensure driving safety.
On-line Intelligent Detection Device of Automobile Fuel Pump Valve
Authors: Wang Zhiming , Gong Sijia , Ye Wangwei , Hua Qi
Published: August 2019

During the specific operation of automotive fuel pumps, various types of valves, such as safety relief valves and one-way valves, will be involved. In the actual application process, if these valves cannot guarantee the normal operation status, it will have an impact on the operation effect of the automobile fuel pump. Therefore, the on-line intelligent detection device of automobile fuel pump valves is analyzed, which is conducive to timely discovery of hidden problems in the valves, and can propose targeted solutions to provide effective protection for the application effect of the valves.
Influence Factors Analysis of Ultrasonic Detection Gravel Terrain Elevation Precision Based on Orthogonal Experiment
Authors: Hu Hao , Yin Fenglong , Liao Hongbo , Lv Xianghui , Sun Ye
Published: August 2019

In the depth control system of clean-up collect mechanical, the influence factors of ultrasonic detection accuracy such as sensor frequency, installation height, marching speed and earth’s surface roughness are analysed by orthogonal experiment through range and variance analysis methods. The results show that installation angle and marching speed are the most important influencing factors, the installation height and surface roughness have no significant effect. In the practical application, the installation angle and marching speed should be considered firstly, the sensor frequency and installation height can be adjusted according to the terrain.
The Combination Trajectory Planning of Serial Robot in Cartesian Space and Joint Space
Authors: Ren Jun , Zhang Qianghao
Published: August 2019

In order to improve the working efficiency of serial robot, a new trajectory planning method is proposed. Taking 6-DOF robot as an example, the 6-DOF open-chain robot is transformed into a 12-DOF closed-chain robot by creating a virtual robot at the end-effecter. Then, the virtual joint variable of the virtual robot is used to represent the end position of the robot, and the direct relationship between the joint variable and the position attitude is obtained. The B-spline Curve is used to plan the trajectory in the Cartesian space, and the joint motion trajectories of the robot are controlled indirectly to meet the requirements of the joint space speed and acceleration. Finally, the time-optimal solution of the trajectory programming is solved by the Genetic Algorithm under the condition of satisfying the joint space and the Cartesian space.
Application of K-means Algorithm in Image Compression
Authors: Wan Xing
Published: August 2019

In machine learning problems, there are two main algorithms: supervised learning and unsupervised learning. Supervised learning algorithms can be used to classify data for tagged data; non-supervised learning algorithms can be used to cluster data for unlabeled data. This paper discusses the basic principles of clustering algorithm and selection of key parameters of clustering algorithm. The application of clustering algorithm in image compression is also analyzed. This paper also emphasizes the problems that should be paid attention to when using clustering. Finally, a practical case of image compression with K-means is given.
Design and Implementation of Simulation Training System Based on MVC Architecture
Authors: Hao Liangliang , Zhang Jinsheng , Ma Xiaoyu
Published: August 2019

With the development of technology of computer, the missile force has been developing towards informatization. A new training method based on simulation training is launched. This article mainly introduced missile simulation training system and the MVC architecture, and proposed the structure of MVC architecture design simulation training system, in the last, implementing the simulation training system for a missile weapon. The usage of MVC frame design achieved a good structure, loosely coupled and high cohesive simulation training system, which effectively improves the development and late maintenance cost of the simulation training system, and realizes that one system can meet the requirements of multiple batches of missile weapons.
Static strength calculation of auxiliary converter equipment and verification of bolt VDI2230 standard
Authors: Li Yana , Geng Zhonghua
Published: August 2019

Aiming at the safety performance of metro equipment structure and bolt connection strength during running,the auxiliary converter was taken as the research object. Finite element analysis of auxiliary converter box and related bolt seat, car body crossbeam and side beam had been studied under various working conditions according to load requirements in EN12663 standard.With VDI 2230 standard, bolts strength of connecting equipment and beams had been checked. The calculation results show that the stress of each part of the auxiliary converter model and blot meet the application requirements.
Study on Aerodynamic Parameter Estimation Method Based on Wavelet Neural Network and Modified PSO Algorithm
Authors: Cui Naigang , Shao Huibing , Huang Rong , Han Yepeng
Published: August 2019

This paper puts forward an aerodynamic parameter estimation method which combines the Wavelet Neural Network(WNN) with Modified Particle Swarm Optimization(MPSO) technique. This method directly and accurately constructs the relationship among flight parameters and aircraft aerodynamic parameters. Preliminary aerodynamic parameters and derivatives are derived from wind tunnel data. With strong nonlinear mapping ability, WNN is used to construct the relationship among Mach number, angle of attack, and rudder with longitudinal aerodynamic parameters. Then, the MPSO is used to estimate aerodynamic parameters based on the test-flight data. And WNN is retrained to amend the relationship among Mach number, angle of attack, and rudder with longitudinal aerodynamic parameters. Simulation verification indicates that MPSO has better estimation accuracy than Maximum Likelihood(ML) method. Comparison results of simulation experiments and flight-test data of a tactical missile show that simulated data based on estimated parameters matches with the flight-test data, which prove the effectiveness and validity of the trained WNN.
Research on Oil Pump for Hybrid Transmission and Development of One-dimensional Simulation Model
Authors: Shi Chongshi , Yan Chenxi , Huang Mingyu , Ni Hongjun
Published: August 2019

In the context of reducing energy consumption, the theoretical research on the cycloid rotorpump for hybrid transmission is carried out, and the important design parameters of the existing pump are obtained by reverse mapping. The CAE technology is used to draw the rotor curve. Based on the AMESim platform, the oil pump simulation model is built. The development of the one-dimensional simulation model of the hybrid transmission oil pump is realized, which provides reference for subsequent design, optimization and research performance.
Design and simulation analysis of 6-DOF electric platform
Authors: Li Bin , Guo Song , Mao Xuyao , Cai Biaohua , Wang Bo
Published: August 2019

Six degrees of freedom platform is a kind of space motion simulator, which can complete the simulation of any space motion within its allowed working range. It has been widely used in aerospace, military, automobile manufacturing, entertainment and other fields. The six degrees of freedom platform can simulate the transverse, longitudinal and heave motion of the ship under the influence of ocean environment such as wind, wave and ocean current. In this paper, the composition and structure of six degree of freedom platform are briefly introduced. Then the stress analysis of the key mechanical components of the six degrees of freedom platform shows that the main mechanical components meet the design results. The results of motion interference check show that the structure design is reasonable. Finally, through engineering application and simulation analysis, the control algorithm of six degrees of freedom platform is briefly introduced.
Calibration system of six-axis force sensor based on the Stewart platform
Authors: Lin Sheng , Pan Ying
Published: August 2019

Calibration accuracy of the six-axis force sensor directly affects the measurement accuracy. In this work, we designed a calibration system of six-axis force sensor based on the Stewart platform. The device has the advantages of automation control, accuracy positioning, and large loading range. The important components of the calibration system are analyzed. The electric cylinder is utilized as the driving device to apply the force. The camera and the single-axis force sensor are employed to feedback the position and force. The six-axis force sensor is fixed with the fixture composed of the T-shaped stage and the rotation table. The calibration principle and loading process of the force/moment are proposed.
Life Cycle Cost Estimation of Large Freight Cars Based on BP Neural Network Integration
Authors: Wen Hu , Dongyang Yin , XiaoChuan Chen
Published: August 2019

With the continuous growth of China’s economy, the demand for large freight cars is increasing day by day. Therefore, it is necessary to estimate the total life cycle cost of large freight cars. Design for cost (DFC) is a method to reduce the LCC-Life Cycle Cost from the perspective of Design. From the perspective of DFC, the design features of large freight cars are mainly obtained through analysis, such as wheelbase, rated load, torque and other parameters, and LCC is estimated based on BP neural network integration.
Research on the Construction of One-stop Full-process Digital Conference Cloud Platform
Authors: Zhang Jiankang , Zhang Xuying , Zhou Yuxin
Published: August 2019

The one-stop full-process digital conference cloud platform is an important basic platform for intelligent conference.It consists of network marketing, audience pre-registration, on-site intelligent registration and entry, convenient information management, booths gathering service, multi-dimensional statistical report and other service modules.The functions of the conference cloud platform cover different stages before, during and after the conference, including designing conference and planning activity, designing websites and micro-stations, etc..Therefore, it provides better digital services for managers.In order to further promote the construction of an important platform for smart conference, the government needs to provide policy support to cultivate exhibition talents, promote the cooperation between exhibition associations, universities and the exhibition industry, and promote the combination of smart conference and smart city construction.At the same time, the government needs strengthen the one-stop whole process of digital conference cloud platform construction efforts.
Application of Vacuum Preloading in Foundation Treatment of River
Authors: Xin Shi , Shanshan Lu
Published: August 2019

Vacuum preloading method is a commonly used dewatering and drying method for soft foundation soil in China, which has the characteristics of low cost and high treatment efficiency. Vacuum preloading method has been widely used throughout the country as a simple, fast and economical foundation treatment method. It is necessary to treat foundation before river construction revetment and upper landscape structure in order to meet the requirement of slope stability by taking a river course in a reclamation area as an example. In this paper, vacuum preloading method is used to treat soft foundation after comparison and selection of various foundation treatment methods. It is feasible to apply vacuum preloading technology to soft foundation treatment engineering of river course.
Study on Reliability Modeling of NC Machine Tool Based on Self-expansion Method
Authors: Zhang Hai-bo , Nie Meng
Published: August 2019

With the improvement of the reliability of NC machine tools, it is becoming more and more difficult to obtain a large number of fault data. To deal with this problem, the improved Bootstrap sampling method is proposed. The failure data, which is gained by using seven a type of NC machine tools to monitor failure data for half year, is used respectively for the improved Bootstrap sampling method and the classic series research method. The results have been analyzed and calculated, and show that the Bootstrap sampling method’s relative error is obviously lower than the classic series research method’s. The improved Bootstrap sampling method is proved to be feasible in reliability modeling.
An Automatic Test Case Generation Method based on SysML Activity Diagram
Authors: Xu Yiqun , Wu Linbo
Published: August 2019

Model-Based Systems Engineering (MBSE) is a new method to engineer the modern large, complex systems. MBSE has a good guarantee for system reliability and it can improve the efficiency of system development. So, MBSE has received extensive attention from academia and industry. SysML is an auxiliary language for MBSE. SysML activity diagram can model the behavior of the system. In this paper, we use SysML activity diagram to generate test case. There are two main things in our work. One is that we have designed an automated SysML activity diagram test case generation method. Second, we develop a test case generation tool to support related applications in the industry.
Neutral theory based mutation operator for Differential Evolutionary algorithms to enhance population diversity
Authors: Wang C , Liu Y C , Xu M Y , Liang X L , Zhang Q J , Guo H H , Wei Y , Chen Y
Published: August 2019

As an easily used and powerful heuristic search technique based on population, Differential Evolution (DE) algorithm has been widely applied for various global optimization and real engineering problems. Nevertheless, as with other Evolutionary Algorithms (EA), DE could not avoid from premature convergence due to over concentrated population, which could be called losing population diversity. In order to enhance its performance, we propose a Neutral Mutation (NM) operator for DE algorithm. This novel operator is inspired by neutral theory of molecular evolution, which claims that most mutations at the molecular level are neutral. That is to say, most variations observed are with neither advantage nor disadvantage fitness. Thus, they would not affect an organism’s ability to survive and reproduce. The NM operator maintains slightly deleterious trial vectors, which we called neutral or nearly neutral, with a certain probability in the conventional selection operator of DE. Besides, some of these trial vectors have a chance to be neutrally mutated within the search domain randomly. As a result, the population is diversified with costing negligible Function Evaluations (FEs). Comprehensive experimental results demonstrate that the presented NM operator could improve population diversity to some extent, especially when the population is not divergent at all.
Multi-objective optimization intelligent path planning for autonomous driving
Authors: Ma T Z , Chen H , Li K , Peng M
Published: August 2019

In order to better solve the path planning problem of autonomous driving, optimize vehicle scheduling, and minimize the total distance travelled by vehicles and the total number of vehicles, this paper proposes a multi-objective optimized intelligent path planning algorithm V-MOEA. Firstly, this paper briefly introduces the relevant problem background of autonomous driving, and introduces the model to solve the path planning problem under this background. Secondly this paper puts forward intelligent path planning algorithm for multi-objective optimization of V-MOEA, the algorithm is used to insert heuristic algorithm population structure, using the variable probability of individual optimization interchange local search method, tested the algorithm of solution and the optimal solution to the existing deviation is very small, and its efficiency and effectiveness is better than there are a lot of algorithm. Finally, the adaptability, further improvement and application of the algorithm are discussed.
An enhanced path planning method for unmanned surface vehicle based on JPS+ and goalbounding algorithm
Authors: Xu Xiaoqiang , Li Xiaohan , Zhan Ao
Published: August 2019

The path planning issue in complex environments remains an challenging problem in the field of unmanned surface vehicle (USV) navigation due to its complexity and the nature of nondeterministic polynomial-time hard (NP-hard). Aiming at generating a safe path for the USV within tractable time, this paper proposes an enhanced path planning method via integrating JPS+ algorithm and the goalbounding algorithm. Firstly, principles of the JPS+ and goalbounding algorithms are respectively analysed and investigated in this study. Subsequently, the application platform of the proposed path planning approach for USV is established via combining the YimaEnc electronic chart with WinForm dialog. Finally, the performance of the proposed method is validated through some numerical simulations against some other well-known path planning methods. The simulation results confirm that the proposed method performs superior to the artificial field method and A* algorithm in terms of the computation time and the path safety. Besides, the superiority of the proposed method over the artificial field method and A* algorithm is more significant in the long-distance path planning scenarios as far as the computation time is concerned.
Numerical analysis of an information propagation model
Authors: Wang Qin , Wang Xiao-li
Published: August 2019

In recent years, information science theory has increasingly highlighted its important influence in the academia, and the numerical analysis method of information dissemination model has achieved rapid development. In this scenario, firstly, this study establishes an information dissemination model based on the classical information theory. Secondly, based on the system stability criterion in the control theory, the basic regeneration number of the model is derived. Thirdly, combined with the classical numerical analysis theory such as Runge-Kutta method, the numerical analysis of the established information propagation model is carried out. The proposed numerical analysis method shed important light on expanding the information science theory.
Phishing Website Detection Algorithm Based on Link Structure
Authors: Shu-Ying Du , Wang He
Published: August 2019

Starting from the relationship of link structure, this paper analyses the differences between phishing websites and regular websites. The fingerprints of websites in the collection of suspected target websites are compared and the maximum fingerprint difference is obtained. The threshold of maximum fingerprint difference is set to distinguish phishing websites from regular websites.
Research on Cross-version Software Defect Prediction Based on Evolutionary Information
Authors: Yao Zhexi , Song Jiawei , Liu Yushuai , Zhang Tao , Wang Jinbo
Published: August 2019

Software defect prediction is an important part of the software testing field. According to the characteristics of object-oriented software, this paper considers the evolution information separately in different packages and summarizes the evolution metrics that affect the defect prediction. Existing research on evolutionary information often ignores the impact of newly added and disappearing classes on software defects prediction. Based on these factors, evolution metrics are proposed and applied to defect prediction. Two evolution metrics, transition class ratio and static metric category number, are proposed for object-oriented cross-version defect prediction. Experiments are carried out in the commonly used software defect prediction set. The experimental results show that the proposed metrics have better defect prediction ability than the traditional static metric.
A new fast corner detection method based on template matching
Authors: Yanling Zhang , Xixi Cheng , Lu Qiao , Pengfei Cui
Published: August 2019

Corner detection is the basic link of camera calibration, and its detection accuracy will directly affect the accuracy of camera calibration. In order to improve the extraction precision of the corners of the board, this paper put forward a new checkerboard corner detection method. Two kinds of corner point prototype templates are constructed by using the characteristics of the checkerboard. The similarity between the pixel points and the corner points is calculated by convolution of the convolution kernel and the image. The degree of similarity is used to distinguish the corner points from the non-corner points. The non-maximum suppression algorithm and the gradient statistical algorithm further screen out the target corner points. The experimental results show that the method used in this paper can accurately and quickly detect the corner position and has strong anti-interference ability.
Research on Intelligent Access Control System Based on Interactive Face Liveness Detection and Machine Vision
Authors: Shi Wenfeng , Li Jun , Ding Yuanjun , Zhou Kuan
Published: August 2019

With the improvement of people’s safety awareness and the renewal of smart home technology, access control security has become a special concern of community, schools and enterprises. How to achieve efficient, convenient, safe and intelligent access control management is the main research direction in the field of smart home right now.Based on multi-task cascade convolutional neural network (MTCNN) and improved face recognition algorithm k-Nearest Neighbor (KNN), this paper proposes an interactive face liveness detection method by eye and mouth state.According to this method, an intelligent access control system based on machine vision is designed.The system solves the problem of identity forgery attacks by calling the camera to track the face in real time and issuing randomized action instructions to the user,after confirming that the object being detected is a living body and the face information matching is successful, the door lock will be opened.The experiment shows that the face recognition rate of the system can reach 98.3%, which has good practical significance.
Research on the motivation to contribution and influencing factors of university students——a semi-structured interview based on qualitative research
Authors: Li Yueyao , Deng Sanhong , Zhang Yue
Published: August 2019

Due to the lack of theoretical knowledge and practical experience, the university students have many deficiencies in contribution. We conducted semi-structured interviews with 28 undergraduate and postgraduate students of Nanjing Agricultural University. At the same time, we used descriptive statistics and cross-analysis methods to analyse the motivations of college students’ initial contribution and the influencing factor of their choice. Based on this, this paper puts forward some suggestions for the initial submission of college students, and the journals are also provided for reference in the selection of manuscripts.
Simulation and Experimental Study of Low Voltage Power Line Carrier Communication
Authors: Wang Bochuan , Wu Xixiu , Hu Yunfeng , Li Chao
Published: August 2019

This paper presents the simulation and experimental research of low-voltage power line carrier communication. The choice of communication method is an important factor in determining the communication quality of the communication system. For the communication mode of low-voltage power line as carrier, this paper prefers the direct sequence spread spectrum communication system as the communication method. In this paper, the simulation function is realized by establishing various parts of the system simulation model. The simulation reflects the stability of the direct sequence spread spectrum communication system and has strong anti-interference ability. In this paper, the spread spectrum communication method is used to simulate low-voltage power line communication in the laboratory environment, and good results are also obtained. The direct sequence spread spectrum communication system is a better choice for low voltage power line carrier communication.
Optimal reconfiguration of active distribution network considering flexible load scheduling
Authors: Xia Mingchao , Yang Shuai , Chen Qifang
Published: August 2019

At present, most of the existing optimal reconfiguration method of active distribution network (ADN) aims at the change of network topology, without considering flexible load. This situation makes a low efficiency of the existing method when facing the situation with large amount of flexible load in ADN. A bi-layer optimal reconfiguration model including an outer layer and inner layer is presented considering flexible load optimal dispatching to improve the efficiency of ADN reconfiguration. Unlike the conventional method, the two layers of the proposed bi-layer method are combined in each iteration. At each iteration the reconfiguration scheme is obtained by solving a binary optimal model in the outer layer, and the flexible loads are optimized in the inner layer. So, the optimal network topology and the optimal flexible load scheme are obtained at the same iteration. This would increase the efficiency of the reconfiguration scheme than that get by the conventional two-stage method. Finally, the importance of flexible load during ADN reconfiguration is proved, and the validity of the proposed method is verified by the comparison simulations.
Research on Cloud Computing Resource Scheduling Strategy Based on Firefly Optimized Genetic Algorithm
Authors: Han Yaning , Wang Jinbo , Yao Zhexi
Published: August 2019

In the cloud computing system environment, combined with the first-level scheduling model of task-virtual machine resource nodes, the individual coding, fitness function, selection replication and cross-variation process are redesigned, and the cloud computing resource scheduling model based on genetic algorithm is established. Corresponding to fireflies and virtual machine resource nodes, this paper redesigned the firefly decision domain update method, selected attraction probability formula and location movement strategy, and combined with genetic algorithm to establish cloud computing resource scheduling model based on firefly-genetic algorithm. Experiment with the CloudSim cloud computing simulation platform. The results show that the task completion time of the resource scheduling model is smaller than that of the single genetic algorithm. The virtual machine load is more balanced, the task completion time is short, and the overall optimization effect of the resource scheduling scheme is obvious.
Knowledge Reduction Model of Crowd Evacuation Stability Based on Rough Set Theory
Authors: Zhao Rongyong , Liu Qiong , Li Cuiling , Dong Daheng , Hu Qianshan , Ma Yunlong
Published: August 2019

To reduce the redundant knowledge discovered from the evolution of crowd evacuation in case of emergencies, this paper aims at knowledge reduction model of crowd evacuation stability evolution. First, the evolutionary mechanism of evacuation stability state is analysed from the perspective of knowledge engineering, and the characteristics of evacuation scenario elements such as physical properties of crowd, structure of evacuation scenario and psychological behaviour of evacuees are analysed and extracted by using self-organizing mapping network algorithm; Secondly, the evolutionary characteristics of evacuation scenario elements and evacuation stability state are discretized and mapped to conditional attributes and decision attributes in rough set universe respectively. Thereby a knowledge representation method of evacuation stability evolution mechanism based on rough set decision information table is constructed. Then, the improved attribute reduction algorithm based on discernibility matrix is used to reduce the knowledge of decision information table processed by self-organizing network algorithm. Finally, a knowledge reduction model of crowd evacuation stability based on rough sets is proposed. It is validated effective to achieve the decision-making of crowd stability, and which provides theoretical basis and methodological support for scientific guidance of emergency evacuation.
Discussion on the Improvement of Current Carrying Capacity of AC 500kV Submarine Cable
Authors: Liu Zongxi , Ouyang Benhong , Liu Songhua , Chu Fanwu , Li Te
Published: August 2019

A three-dimensional electro-thermal coupling physical and mathematical model of the submarine cable landing section together with the cable trench was established to analyze the effect of the current-carrying capacity improvement scheme of the 500kV submarine cable. The effects of three types of submarine cable landing section current carrying capacity improvement schemes were analyzed and compared. The research results show that the flow rate of the medium around the cable in the cable trench (fluid medium), thermal conductivity, temperature of the cooling medium and the arrangement of the submarine cable affect the current carrying capacity. The fluid medium in the cable trench that is forced to flow along the radial direction of the cable can fully exert the heat absorption effect of the cooling system in the cable trench. The greater the thermal conductivity of the medium around the submarine cable, the Joule heat generated in the submarine cable conductor dissipates more quickly, reducing the temperature rise of the cable conductor, which is beneficial to increasing the current carrying capacity of the submarine cable. The research results have guiding significance for the selection and engineering design of submarine cables.
Use of heat mirrors on field of renovation of window structures
Authors: Bizonova S
Published: August 2019

The paper presents the results of the analysis of several variants of glass systems using low emissivity heat mirror films. The subject of the paper is the determination of the thermal-optical parameters of the structure as well as the analysis of surface temperatures of the considered glass systems, which were obtained by calculation. The result is optimization of the structure which will be the subject of further research.
Analysis of an experimental tension structure
Authors: Kapolka L
Published: August 2019

This article builds on the article written last year. The paper is the comparison between the results from the first numerical pre-analysis of the construction of an adaptive hyperbolic paraboloid, the results of which were used as input data for the design of the experimental device in the laboratory at the Faculty of Civil Engineering of the Technical University in Košice with the newest results gained from the numerical model created according to documentation from the manufacturer of this device. The structural numerical model was modeled in regard to geometry, materials and cross-sections characteristics, weight distribution, existing eccentricity and it was created in Dlubal software based on finite element method.
Dynamic influence of a swinging bell on a traditional wooden structure of the Lemko orthodox church belfry
Authors: Kochański T
Published: August 2019

Paper treats about dynamic influence of a swinging bell on a traditional wooden structure of the orthodox church belfry (example calculations made for a bell and belfry of the Lemko’s orthodox church). On the basis of the conclusions of the analysed belfry, there were made modifications aimed to improve its dynamic parameters. The brief summary provides comparison between the effects of such modifications and existing wooden structure.
Assessment of the possibility of using modern diagnostic methods to determine the changes in the properties of timber elements installed in a river bed
Authors: Kotásková P. , Fialová J. , Tippner J. , Marková J
Published: August 2019

The aim of the research was to find out which non-destructive methods can be used for determining the properties of wood placed in humid area and water. The research was carried out in order to propose suitable methods for detecting state of timber during regular inspection and maintenance of timber structures and elements in the watercourse. Wooden thresholds located in the watercourse belonging to the Divoká Orlice River Basin were selected for the measurement. The measured timber elements were already 9 years in the flow and the degree of damage to the built-in wood had to be assessed. The extent of biotic damage to water-soaked wood cannot only be determined by sensory methods. Resistance stop devices, a non-destructive ultrasonic device, a micro drill and an acoustic tomograph were selected for the evaluation. However, all commonly used modern diagnostic methods used for measurements in dry environment surveys cannot be used in the above terrain.
The Effect of Openings on Stress Distribution in Glass Beams – Dependence on Diameter of Openings
Authors: Lavko M , Kvočák V , Sokol Z
Published: August 2019

Presented paper describes the behaviour of simply supported single ply glass beam with discontinuities in its geometry. Discontinuity is introduced by four openings symmetrically placed over the beam. This type of simplified structure represents cut out of real constructions where similar glass components are used as primary load bearing structures supporting glazing of roofs or decks of pedestrian bridges. The main focus of this article is in research of stress distribution around openings and how different diameter of a hole influences stresses in its close proximity. As Eurocode standards for glass structures are still not codified and most of the nowadays literature only provide suggested diameters of holes based on the thickness of the glass pane, this paper will provide the future designers of glass load bearing structures with closer look at stress distribution around mentioned area. In order to bring those informations to theirs seekers, both experimental analysis and numerical analysis together with parametric study were used.
Semi-rigid operation of connection in timber engineering
Authors: Neusch M , Sandanus J , Sógel K
Published: August 2019

Consideration the semi-rigid behaviour of connections is an essential part of the modern way of the design of timber load-bearing structures. The computational models using the finite element method allow us to easily replace the use hinge operation with the appropriate stiffnesses of connections in the design. Taking the stiffness of the joint into consideration can have a significant influence on the load distribution and on the stiffness of the object as a whole. The paper contains the calculation process of the stiffness of selected connections. The mentioned stiffnesses could be used in modelling of timber load-bearing structures.
Usage of true stress-strain curve for FE simulation and the influencing parameters
Authors: Petrík A , Ároch R
Published: August 2019

Computer simulations require appropriate input data to match the relevant calculated results with those of experiments. The true stress-strain curve suitable for finite element analysis is describing the non-linear behaviour of the steel material with a proper pre-peak as well as necking stress-strain relationship. The pre-peak part of true stress-strain curve can be easily covered by an analytical method (i.e. logarithmic equations), but the necking part of the curve cannot be described by such a relationship between the normalized and the true stress-strain curves. Simple tensile test of steel specimen was performed to establish the true stress-strain curve in ANSYS software. Different sizes of finite elements were applied for the non-linear FE analysis to find an appropriate size function while creating the necking part of true stress-strain curve using an iterative method. Stress and strain from the computer analyses were compared with the results of the tensile test. The dependence of size of finite elements and/or element type was analysed to achieve the most precise results.
The Influence of corrosion on the stresses in members of open deck railway bridges
Authors: Štecák R
Published: August 2019

Nowadays, many old riveted railway bridges, mainly their members of the open deck, are corroded. The paper demonstrates the influence of corrosion on a stringer beam and on a cross-girder beam of a particular steel truss railway bridge in Slovakia. This is an important step in the assessment of the loading capacity and the residual lifetime of this bridge. A simple beam FEM model was refined by modelling the investigated members as plate elements. In such a way the real boundary conditions of the members were modelled most realistically by keeping the model as simple as possible at the same time. The stresses in the members were first calculated with the original cross-sectional dimensions and the results were compared with the real measured corroded cross-sections. A future corrosion rate was estimated and calculation of this case was also performed. The influence of stringer to cross-beam rigidity, the size of 2D FEM elements, and the steel material model (linear, bilinear with 1% hardening) were investigated too.
Proposal of utilized to the lift for evacuation of persons
Authors: Szénay M
Published: August 2019

In 2010 Averill defined in his work five challenges for the solution of evacuation of persons in buildings to 2020. One of the challenges is to implement helpfull technologies during evacuations from buildings – lifts. The aim of the work was to find the ideals of the design of the necessary type and number of lifts. The numerical calculation method was used using simulation software. A model of a fifteen-storey building with multiple versions of the lifts was created. The results showed what type and number of lifts brought the desired shortening of the evacuation time. Conclusion is the recommendation of an ideal lift design.
The preparation method and performance analysis of coated kraft paper with wear resistanc
Authors: Zhao Yu , Liu Linlin , Qu Fang , Gao Haoyu , Chen Wenqian , Li Xin , Huizhong Zhang
Published: August 2019

The goal of the research is to improve the surface states of kraft paper and to make coated kraft paper with wear resistance suitable for packaging material. Based on wear and coating mechanism, the research analyzed and compared the characteristics and microstructure of uncoated paper and coated paper.The result shows that coating can reduce the surface resistance and friction of paper.Kraft paper was coated with the VaporCoatTM2200.s coating in the research. The research studied the influence of coating process on wear resistance of coated kraft paper.Two hundred groups of experimental datum of each sample show that the optimal coating weight is 18g/m2. As expected, coated kraft paper has better wear resistance and other performance than the uncoated kraft paper. The results show that the coating technology is an inexpensive and environmentally friendly process. The research provides the theoretical basis and data supporting for packaging enterprises to produce the coated paper-based packaging materials with wear resistance.
Calculation of Tensile Strength of Unidirectional Composites Based on Probability Theory and Monte Carlo Method
Authors: Zou Jiajun , Cao Ruizhi , Shao Minqiang
Published: August 2019

In this paper, Monte Carlo method combined with the random critical-core probability model is proposed to calculate the longitudinal tensile strength of unidirectional composites. This method considers two-dimensional distribution of fibers on the cross-section, while the theoretical analysis method only takes the linear distribution of fibers into account. Using the weakest link principle, the failure probability and average strength of the unidirectional composites are obtained. The results show that the calculated values of longitudinal tensile strength of T300/5208 composite and unidirectional C/C composites agree well with the experimental results.
Fatigue Life Calculation of Shaft System Based on Bend-Torsion Coupling
Authors: Gang Liu , Yong Shao
Published: August 2019

The increase of the propulsion power of the ship and the increase of the distance between the two adjacent bearings lead to the reduction of the fatigue life of the shaft system. The research on the fatigue life of the ship propulsion shaft system has important theoretical significance and practical engineering application value for the ship design. Based on the ANSYS Workbench platform, this paper builds the physical model of the coupling part of the bending and torsion, obtains the transient analysis result under the working speed, and introduces it into ANSYS Ncode for fatigue analysis under flexural and torsional coupling.