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A random vibration fatigue test system developed by the company was used to conduct a random vibration fatigue test at a temperature of 25? /450? for a typical plate element of GH188 alloy, and the random vibration fatigue median life of S-N curve of GH188 superalloy at a temperature of 25?/450? was...

This paper aims to analyze the effect of open community system on road traffic. Based on the evaluation index system of the impact of community opening on road traffic, a space-time dynamic analysis model of vehicle traffic capacity is established to describe the urban road traffic situation. Firstly,...

In this paper, a method for the design and implementation of the Internet of Things (IoT) gateway is proposed. First, the gateway platform is built on BeagleBone Black. In the software design of the gateway, wireless sensor network mapping into a virtual device through the Lua scripting language, and...

In order to obtain the image information of go, we use the traditional method to process the image, but the traditional method has great limitation. The accuracy is low, and the external factors can easily affect the processing result. In order to solve the limitation of traditional image processing...

As an important means of communication, Morse has a wide range of applications in life such as medical treatment, radio broadcasts and so on. However, there has been no systematic method for automatic recognition of Morse codes. This paper designs a Morse code automatic recognition system that combines...

China Camellia fruit shell to mechanical machine has not been popular, especially in rural areas, this paper designs a kind of advanced and applicable Camellia fruit shell device, used to make more efficient fruit tea, Camellia fruit hulling machine, which comprises a shell, a cutting mechanism, tie...

The motor is considered as the carrier and driving the precision control of rotation speed of the fuze, which is an effectiveway to simulate the centrifugal environment of the realistic simulation fuze. In order to precisely control the rotation speed of fuze, motor is used as the research object, a...

High speed rotating control machine of fuze can use high speed motor produce effect of rotating centrifugal force under the laboratory environment to simulate the centrifugal force that the fuze received in the flight. The equipment can give a rotating test for the fuze to check its security and dependability.

Target detection and tracking of fire-control radar is the primary task of air defend combat and a key of fire-control system. First, wording process of fire-control radar system is analyzed. Then signal simulation modeling and mathematical modules are proposed. Finally, signal simulation of dynamic...

In this paper, a sliding mode observer (SMO) based on PLL and rotary coordinate is designed for sensorless control of permanent magnet synchronous motors (PMSM). By the proposed SMO algorithm, the control system has a better dynamic performance?And the rotor speed error, the estimated speed, the rotor...

In order to perfectly integrate the Internet of Things (IOT) and big data, the way how big data influences the construction of an open IOT ecosystem was discussed and the significance of big data for the Internet of Things was set forth. Also, the system framework of an open IOT ecosystem with advanced...

This paper mainly studies the effects of monthly production of iron and steel in eight cities in Hebei on the air quality of Beijing and Tianjin. First, this paper uses 10 cities to study whether iron and steel production has an impact on air quality, and the conclusion is that iron and steel production...

This article takes the non-bearing wall cast-in-place process as the research object, making comprehensive use of CFD analysis methods, CAE technology, ANSYS Gambit and Fluent software. the flow field simulation was carried out in the mixing section and the grouting process in the pouring wall process....

To explore the application of virtual experiment in physics teaching, the virtual reality constructivism, hybrid learning theory, interaction theory and the used techniques were analyzed. Then, the whole process of virtual experiment system from the design to the realization was explained in detail,...

Temperature and humidity automatic control system is widely applied in various fields more and more gets the welcome of people, because it can greatly reduce the human resources, and it has the characteristics of highly efficient and accurate. the temperature and humidity automatic control system based...

Under the background of the less connection between teachers and students in universities and the rapid development of the Internet, and according to the needs of students and teachers, the topic was to design and develop university research and academic platform prototype based on Android. First of...

Traffic lights play a significant role in regulating traffic flow. Due to the use of stationary phase and fixed cycle in traditional systems, it is not feasible to adjust the phase time to meet real-time traffic demand, resulting in delays, inefficiencies and other losses for traffic participants. This...

Customized bus, a new-type traveling mode in China, now has become the first choice for part of city residents due to its quality services. However, customized bus in China is still at the initial stage of exploration. Its route design and vehicle scheduling have not yet formed a unified methodology....

Since the lack of traffic control measures, it is necessary to provide the sufficient intersection sight distance to ensure the safety of driving at uncontrolled intersections. At present, the domestic and foreign design standards and specifications concentrate more on the dimensions of square edges...

To investigate the effect of collision parameters (impact area of hood, vehicle velocity, walking speed of pedestrian, pedestrian gait and pedestrian orientation) on the dynamics response and injury of pedestrian thorax by combining the merits of Finite Element (FE) method and analytical method of Multi-body...

The train schedule is the basis of operation organization in urban rail transit. According to the properties of the full- length & short- turn routing mode in urban railway transit, a multi- objective nonlinear mixed integer programming optimization model of train shedule for a single transit line is...

This paper analyzes the risk factors of developing logistics finance business in railway enterprises, identifies the risks from two aspects of external risk and internal risk, and constructs the evaluation index system of railway logistics financial risk. Based on the analysis of BP neural network structure,...

In order to improve the operation safety of road tunnels, a new evaluation method of safety evaluation was proposed. Firstly, the index system was established by comprehensive considering all kinds of traffic safety attribute, including road engineering, traffic safety facility, traffic flow condition...

The Salar nationality believes in Islam, and the clansmen mainly live in Xunhua Salar Autonomous County of Qinghai Province and Dahejia, Baoan nationality and Dongxiang Salar Autonomous County, Jishishan, Gansu Province. The construction of many traditional settlements of the Salar nationality is ingenious...

Indoor positioning is becoming a very popular research direction in recent years. In this paper, we realize real-time trajectory calculation through the fusion of inertial and vision. We have two experiments in different environments and we find that the algorithm's error is below 50% of pure inertial...

On the basis of introducing the development of electrical automation, this paper detailedly analyzes the application of computer technology and PLC technology, which are specific technologies of electrical automation used in the power system. The purpose of this paper is to make people have a deeper...

Study on train over-taking organization of urban rail transit and propose calculation methods of local train's waiting time as well as the length of the cross section. Combining with actual operation of urban rail transit, the effects of departure interval, tracking interval and the maximum operating...

The docking technology of the subsea production system control module (SCM) is a key part of installation. If the docking accuracy is not reached, or poor stability when docking, the butt joint between the hydraulic joint and the electrical joint cannot be accomplished, may also make the subsea control...

With the advent of the age of big dat, the application of big data to predict is a powerful way to solve various problems. However, for the increasingly tense spectrum resources, the prediction of cognitive radio based on big data is an inevitable trend. In this paper, the advantages of big data prediction...

In order to study the influence of the tail of the fitted sample distribution curve of vehicle load effect on the maximum value distribution in the reference period of vehicle load effect, multi-model normal distribution curve, straight line, parabola, exponential curve and POT model based on Pareto...

As millimeter wave (MMW) electronic technologies have matured, MMW receiver research is also in the rapid development which includes front-end and frequency synthesizer. They all needed isolation between RF and DC bias. The good design bias T which can realize high isolation between DC bias source port...

The dynamic pressure lubrication theoretical model of worm gear ZC1 is established, the formula of hydrodynamic lubrication discretization for the calculation of the mixed friction efficiency of circular cylindrical worm and worm pair is achieved and the formula and process for solving the hybrid friction...

It described a control system of 100kV high voltage power supply. It used PC control and monitor the power modules via fiber optic. By testing, proved the control system is a good isolation and provides stability control system. By this way, we can remote control the power modules.

In the modern education platform, there are many problems, such as insufficient retrieval accuracy and single retrieval process, this paper conducts an in-depth investigation and analysis of the features of educational videos, combined with the cutting-edge audio transcription technology and text processing...

This paper introduces fault diagnosis method and its mathematical descriptionthe of fuzzy Petri nets, including the basic concept and rule representation. On the basis of the original fuzzy Petri net reasoning decision, the transition threshold judgment is proposed. This paper presents a fault diagnosis...

For fermentation process large time delay, nonlinear and distributed parameter and disturbance, to combine neural networks and fuzzy control, neural network has the ability to learn, to modify control rules, the proposed neural network controller, realize online monitoring of biomass in the fermentation...

The emergence of Electronic Chart Display and Information System (ECDIS) is a revolution in the field of navigation. With the improvement of ECDIS's standardization and its further promotion, the research of ECDIS in the world is also deepening. On the basis of the understanding of the standard of electronic...

SAR image change detection technology is the two picture in the same area, the different time periods for SAR image detection, quantitative and qualitative analysis of the change area, thereby gaining interest area change a technology of information. SAR image change detection technology is of great...

In this work, a novel controller dynamic linearization based model free adaptive predictive control algorithm (CFDLc-MFAPC) for a class of discrete nonlinear system is proposed. This method introduces dynamic linearization parameters of ideal controller based on dynamic linearization technology, and...

This paper analyzes the influencing factors of earthquake emergency rescue of general aviation in mountain area, the relevant knowledge of operational research is applied, the influencing factors of emergency rescue are analyzed and evaluated by analytic hierarchy process; according to the analysis results,...

Relevance vector machine (RVM), a sparse Bayesian kernel method in machine learning, has been well-known for its sparsity and probabilistic predictions. Like other kernel methods, it use the kernel functions to map the input instances into higher dimensional space for problem simplicity. At present,...

About the issue of Internet banking adoption, based on technology acceptance model (TAM), past researches mainly focused on the customers, but seldom researches looked at the Internet banking adoption from banks and their personnel. The bank personnel have financial professionals and are crucial users...

This paper examines the effect of the amendment of an education-related law on university efficiency using the 1994 University Law amendment in Taiwan as a case study. The results indicate that prior to the 1994 amendment; private universities operate in a more efficient manner than public universities....

Traditional evaluation of firm’s market value in credit risk analysis could be contaminated by market noises. The purpose of this article is to price the credit risk in the distance to default with particle filter approach. Compared to the traditional methods, the estimate of the distance to default...

Last year, a Tokyo-based internet venture firm, Hatena Co., ran a political prediction market that was designed to predict the result of the General Election of the Lower House of the Diet, held on September 11, 2005. The market showed reasonable predictive ability that was comparable with the predictions...

Bank runs are usually happened as such that depositors panic and following the consequence of interaction between depositors withdraw their deposits. It is an issue of debt obligation between bank and depositors and an issue of bank capitals distribution among depositors. We consider the role of information...

This work develops a fuzzy linear programming (FLP) method for solving the transportation planning decision (TPD) problems with fuzzy goals, available supply and forecast demand. The proposed method attempts to minimize the total production and transportation costs and the total delivery time with reference...

In this paper we analyse insurance data using Artificial Neural Networks (ANN)[1]. In particular, we use ANN for the problem of Loss Reserving. Loss reserving is the practice of estimating the future payments for the claims which have occurred on an insurance portfolio. A difficulty in forecasting future...