The proceedings contain 51 papers. The topics discussed include: design of distributed substation high voltage electrical equipment online monitoring system based on image segmentation technology;design and analysis o...
The proceedings contain 51 papers. The topics discussed include: design of distributed substation high voltage electrical equipment online monitoring system based on image segmentation technology;design and analysis of road load detection machine based on computer technology;mechanical design and improvement of computer automatic production line;MATLAB simulation of current-carrying friction between catenary and bow net of high-speed train under fluctuating load;application of artificial intelligence technology in decision-making of mechanical manufacturing process;and helicopter training simulator measurement and control system based on computersimulation technology.
With the progress of the research on MEMS, the traditional industry and fluid mechanics research of flow sensor reach to the high level of integration, miniaturization, high precision, high reliability direction. At t...
With the progress of the research on MEMS, the traditional industry and fluid mechanics research of flow sensor reach to the high level of integration, miniaturization, high precision, high reliability direction. At the same time, the development of life science greatly promoted for microfluidics, study subjects such as biology, medicine, health have also improved the development of new type micro flow sensor. Micro flow sensor has become an important research direction. In this paper, based on the MEMS manufacturing process, a flow sensor with a titanium layer of 300 nm is designed and simulated by using FEM software in the environment of machining thickness of 100 nm grade and flow rate of microliter grade. simulation result shows that when applying a flow rate of $10\ \mu\mathrm{L}/\min$ , temperature difference $\Delta\mathrm{T}$ between the two temperature sensors is about 12°C to 14°C.
In the flight test data, there usually are abnormal values due to uncertainties in acquisition, storage and transmission. processing the abnormal values is essential to ensure the accuracy of subsequent test data anal...
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In the flight test data, there usually are abnormal values due to uncertainties in acquisition, storage and transmission. processing the abnormal values is essential to ensure the accuracy of subsequent test data analysis. In this paper, we propose an abnormal value processing method based on wavelet transform for flight test data. We use the summation of high- frequency wavelet details as the characteristic quantity for abnormal value detection. Moreover, the detection threshold is constructed based on the idea of constant false alarm detection to locate andprocess the abnormal values. simulation results show that the method can detect andprocess the abnormal values in the time-series flight test data fast and accurately.
With the continuous development of computer technology, simulation technology has been more widely used. Through the ANSYS-Workbench software to simulate the solder ball shear experiment, the strain stress and the ove...
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Currently, the number of motor vehicles in the city continues to increase, and large parking lots have become the main space for parking. One of the challenges of parking space navigation planning is to efficiently an...
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This paper proposes an intelligent tourism recommendation system based on artificial intelligence (AI) tools, aiming to provide tourists with more accurate personalized recommendation services. The system adopts the W...
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ISBN:
(数字)9798350368208
ISBN:
(纸本)9798350368215
This paper proposes an intelligent tourism recommendation system based on artificial intelligence (AI) tools, aiming to provide tourists with more accurate personalized recommendation services. The system adopts the Wide Deep model architecture and combines natural language processing (NLP) technology to achieve multi-dimensional user behavior analysis and recommendation optimization. In the Wide part, the system captures the basic preference characteristics of tourists, such as historical browsing records, geographic location, and basic user information, which helps to quickly match tourist resources related to tourists' preferences. The Deep part uses deep learning technology to deeply explore tourists' potential needs and behavior patterns. Through the analysis of complex interactive behaviors, the system can better understand users' personalized preferences. In addition, the system also integrates natural language processing technology to further enrich the input data of the system by analyzing tourists' feedback, comments, and public information on social media, thereby improving the comprehensiveness and accuracy of recommendations. This paper designs an efficient algorithm process to ensure high computational efficiency when processing large-scale data. simulation tests show that the system improves the recommendation accuracy by 12% compared with traditional recommendation methods, and shortens the response time by 20%, which fully verifies the advantages of the system in practical applications.
Proportional integral derivative (PID) algorithm control is the most common control method in robot control, and agricultural harvesting robots have been a very popular robot application in recent years. This algorith...
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ISBN:
(数字)9798350360240
ISBN:
(纸本)9798350384161
Proportional integral derivative (PID) algorithm control is the most common control method in robot control, and agricultural harvesting robots have been a very popular robot application in recent years. This algorithm can achieve precise movement of the car, thereby promoting the implementation of robot automation for picking. This article utilizes the simulation function in Simulink in Matlab software to explore the impact of different parameter choices in the PID process on control effectiveness. Based on the analysis of the results, appropriate parameters for the proportional, integral, and differential links were ultimately obtained, and ideal control effects were achieved. In the discussion section, this article gradually analyzed the role of each link in PID control and the different values of parameters that can lead to different control results. Based on the research results obtained, there are still many challenges and opportunities surrounding of intelligent agricultural robot. This article provides some suggestions for the future development and improvement of PID algorithm control, so that it can be applied to more complex situations and continue to explore new research directions and application scenarios. Through such efforts, it's believed that the intelligence of agricultural robot will become an important development direction in the future agricultural production field.
The evolution of wireless communication technology is inextricably linked to the growing demand from consumers to connect multiple devices to the network. Massive multiple input multiple output (MIMO) is a new advance...
The evolution of wireless communication technology is inextricably linked to the growing demand from consumers to connect multiple devices to the network. Massive multiple input multiple output (MIMO) is a new advancement compared to conventional communication systems, which use tens to hundreds of interconnected antennas that serve multiple user terminals at the same time and frequency. 5G’s massive MIMO system performance degrades as a result of its extensive use of antennas; consequently, it is characterized by high complexity and wasteful energy consumption. The sum rate is an essential system performance parameter in 5G massive MIMO. Deep learning (DL) is utilized to advance and enable the maximum potential of 5G massive MIMO in order to increase the sum rate. DL can process, generate, and provide sophisticated analysis on virtually any given task, with concise and verifiable outcomes. Consequently, this paper analyzes the 5G massive MIMO sum rate using a deep neural network (DNN). The proposed DNN technique employs seven hidden layers per node (512, 256, 128, 128, 32, 5, and 6) and Relu activation. The aggregate rate was obtained by simulating the 5G massive MIMO system model with the DNN. The simulation results demonstrated that the DNN algorithm was able to produce a high sum rate value and is superior to conventional 5G massive MIMO.
With the widespread application of satellite communication systems and the explosive growth of mobile terminals, various demands have brought considerable pressure to the satellite communication system. There are many...
ISBN:
(纸本)9798400716430
With the widespread application of satellite communication systems and the explosive growth of mobile terminals, various demands have brought considerable pressure to the satellite communication system. There are many network stability and security issues in the satellite communication process, leading to the proposal of a non-cooperative game-based satellite network communication method. Both sides engage in non-cooperative games: during the attack and defense process of the satellite communication network, the attacking side exploits vulnerabilities in the satellite communication network system to maximize the attack effect, taking a series of attack actions to achieve a certain goal of disrupting the communication network system. The defense side, in response to the performance requirements of the satellite communication network system and the attacks it faces, takes a series of defense actions [3]. The antagonism, non-cooperation, and high degree of strategic dependence in communication network attacks and defenses are closely related to game theory. After the attack and defense process begins, the attacking side continuously adjusts the next round of attack strategy based on the attacks launched and the gains obtained, while the defense side, to maximize its own gains, will maintain smooth satellite network communication as much as possible based on the contract routing algorithm.
Hepatic diseases are serious condition worldwide, and several times doctors analyse the situation and elaborates a preoperative planning based exclusively on the medical images, which are a drawback since they only pr...
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ISBN:
(纸本)9783030912345;9783030912338
Hepatic diseases are serious condition worldwide, and several times doctors analyse the situation and elaborates a preoperative planning based exclusively on the medical images, which are a drawback since they only provide a 2D vision and the location of the damaged tissues in the three-dimensional space cannot be easily determined by surgeons. Nowadays, with the advancement of computer Aided Design (CAD) technologies and image segmentation, a digital liver model can be obtained to help understand the particular medical case;even with the geometric model, a virtual simulation can be elaborated. This work is divided into two phases;the first phase involves a workflow to create a liver geometrical model from medical images. Whereas the second phase provides a methodology to achieve liver prototype, using the technique of fused deposition modelling (FDM). The two stages determine and evaluate the most influencing parameters to make this design repeatable in different hepatic diseases. The reported case study provides a valuable method for optimizing preoperative plans for liver disease. In addition, the prototype built with additive manufacturing will allow the new doctors to speed up their learning curve, since they can manipulate the real geometry of the patient's liver with their hands.
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