ISSN
3029-2220(Online)
2251-2608(Print)
Published
Table of Contents
Open AccessArticles
Attack Threat and Response Strategy of Network Security in the Background of Artificial Intelligence
by Songli Wu, Zili Wang
2023,10(5);
194 Views
Abstract
In recent years, information technology has been continuously updated, bringing brand-new technology experience to people. Artificial intelligence technology, is a relatively novel technology, has a significant role in the national economic growth and social development. The Internet is the basis of artificial intelligence technology, and the Internet has the characteristics of virtual nature. Therefore, the application of artificial intelligence in people's production and life can not only promote social progress, but also may have a greater impact on network security. Under the interference of many factors, the network security is threatened by many attacks in the background of artificial intelligence.
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Open AccessArticles
by Chong Cheng
2023,10(5);
200 Views
Abstract
Dual-redundant systems represent a widely employed fault-tolerant technology aimed at enhancing the reliability and fault tolerance performance of nuclear radiation detection robots. In this study, with a specific focus on nuclear radiation detection robots, we introduce a comprehensive fault-tolerant control scheme achieved through an analysis of the fault detection and handling methodologies inherent in dual-redundant systems. This scheme encompasses fault detection approaches spanning the processing layer, interface layer, and peripheral device layer, all accompanied by their respective fault-handling strategies. By conducting an exhaustive examination of fault detection and handling within dual-redundant systems, the reliability and fault tolerance capabilities of nuclear radiation detection robots can be significantly advanced.
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Open AccessArticles
by Cong Xu, Ravi Sankar
2023,10(5);
316 Views
Abstract
In this paper, we propose an acoustic positioning and tracking system using time difference of arrival (TDOA) for multiple sound source positions in a three-dimensional (3D) space. The microphone array uses a regular tetrahedron structure and only requires four sensors to realize the position analysis of the sound source. We develop a fast cross-correlation algorithm to obtain characteristic peaks quickly from the TDOA data, which can effectively distinguish the phases of different sound sources and locate them in a multi-source environment. The optimized TDOA algorithm uses a minimum number of 3D sound source capture sensor arrays, which can capture the 3D coordinates of every sound source while performing low-latency multiple signal classification (MUSIC) calculations. The development of this technology will have a wide range of applications in real-time sound source coordinate acquisition in the field of multi-source acoustic visualization.
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Open AccessArticles
by Xiong Jiang, Jian Li
2023,10(5);
228 Views
Abstract
In order to grasp the changing trend of customer churn and improve the prediction accuracy of customer churn, a prediction method of tourism customer churn based on Hybrid Neural Genetics is proposed. The mixed neural genetic algorithm is used to model and predict the customer turnover, estimate the tourism customer value calculation.
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Open AccessArticles
by Guofeng Jiang
2023,10(5);
301 Views
Abstract
Switching power supply technology has rapidly evolved over the last few decades, bringing substantial improvements in efficiency, power density, and cost. The aim of this paper is to provide an overview of the technical trends in switching power supply and the challenges that come with them. This paper analyzes the technical trends in switching power supply, including high-frequency switching power supply, multi-phase switching power supply, digital control of switching power supply,and wide bandgap semiconductor switching power supply. The future trends and challenges in switching power supply, including miniaturization of switching power supply, high power density switching power supply, increasing efficiency of switching power supply, and integration of switching power supply are also discussed.This paper is hoped to provide assistance to relevant staff in developing switching power supplies.
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Open AccessArticles
by Hongtingyu Li
2023,10(5);
218 Views
Abstract
Interactive smart clothing is an innovative product that blends technology and fashion, enabling clothing to interact and respond to people in real time by integrating various sensors, computing devices and communication technologies. It not only has a fashionable appearance, but also provides various functions and experiences to meet users' needs and enhance their quality of life.
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Open AccessArticles
by Xingzhi Li, Zhengyu Zhong
2023,10(5);
234 Views
Abstract
The physical simulation software and digital twin technology play a very important role in building a digital twin platform for water resources, which provides the necessary support to realize digital mapping and intelligent simulation of water resources production and operation. In order to promote the coordinated and efficient operation of different types of water modeling and the intelligence of watershed and water project governance processes, this project will carry out the research and application of process architecture and core technologies for water 3D simulation. The results of this project will provide the theoretical basis and technical support for the development of digital twin technology in the field of water resources in China and contribute to the development of water resources in China.
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Open AccessArticles
by Cong Xu@WenshengChen, Mingkuan Lin, Jianli Lu, Yunghsiao Chung, Jiahu Zou, Ciliang Yang
2023,10(5);
219 Views
Abstract
Semiconductor chips are widely used in various industries, making the classification of their quality grades and real-time evaluation crucial for ensuring optimal performance and reliability. This paper presents a semiconductor chip grade classification and real-time evaluation method based on hybrid artificial intelligence techniques, effectively improving the accuracy and efficiency of the classification process. Through extensive experiments on real-world data sets, the method demonstrated superior performance in terms of classification accuracy, real-time evaluation, and generalization capabilities compared to traditional methods.
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Open AccessArticles
by Binling Yan, Chunming Ye
2023,10(5);
201 Views
Abstract
To address the lack of resources for doctors, nurses and operating rooms when scheduling surgery, a hybrid imperial competition algorithm considering the surgery scheduling problem is proposed based on setting assumptions and using the idea of crossover operations in genetic algorithms.
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Open AccessArticles
by Xionggang Yang
2023,10(5);
208 Views
Abstract
The rational allocation of virtual machine resources in cloud computing is a critical technical issue, and the efficient utilization of virtual machine resources is a key factor influencing cloud service performance. Based on this, this paper proposes a novel ant colony optimization method that can effectively address the resource scheduling problem in cloud platforms.
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Open AccessArticles
by Yunhao Yang
2023,10(5);
272 Views
Abstract
The online learning platform of vocational education has increased new. It spans time and space restrictions, introduces collaborative learning, cultivate students' cooperation exploration ability, improves comprehensive quality, and has become an innovative engine of vocational education. We borrowed the characteristics of Web2.0 and designed an online learning platform based on this concept for vocational education. "Vocational Education Online Learning Platform" uses B/S architecture to integrate modern frameworks such as Spring, Spring MVC, Mybatis, Vue and Achieves Java and MySQL. By fully integrated Web2.0 technology, the platform destroys traditional restrictions, brings more flexible and collaborative learning models to vocational education, and expands learning resources and space. This platform is not only a technical tool, but also a key driving force for vocational education reform, which helps future workplace training talents.
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Open AccessArticles
by Kaiqing Zheng
2023,10(5);
210 Views
Abstract
In the evolution of the times, every major change has provided humanity with a new perspective to view the world, which has driven changes in structural political characteristics and ways of action. In the digital era, due to the rapid development and application of digital technologies such as Big data, artificial intelligence, new computing, blockchain and 5G communication, the ability to perceive and acquire human beings has further expanded and developed, and has generated risks with wide boundaries and clear connections. At the same time, it has also triggered a series of Social phenomenon and problems, including the increasingly acute "cyber violence against women", which has become a hot event, attracted the attention of various entities and departments throughout the country, and caused some panic and influence in the society. For example, this article takes "games" as an example to analyze the concept, theory, and causes of "online violence" against women, and proposes possible intervention strategies.
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Open AccessArticles
by Lei Zhao, Yungui Shi
2023,10(5);
181 Views
Abstract
Using the automation of the College of Mechanical and Electrical Engineering at Huangshan University as a case study, this paper elucidates the talent training mode, orientation, training objectives, and characteristics of the automation major within the context of new engineering disciplines.It explores ideas for constructing a curriculum system for talent training and reform methods for practical teaching systems while also developing innovative teaching approaches.This lays a solid foundation for cultivating applied and innovative talents in the field of automation that are adaptable to the new economic situation.
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Open AccessArticles
by Xiaoming He, Haiqiang Geng, Lei Ding, Xiangrong Wan
2023,10(5);
199 Views
Abstract
In the design process of C language programs, it is generally necessary to follow the basic syntax of C language.And in some fields, the design process of C language programs also needs to follow basic industry standards, such as the MISRA C specification in the automotive electronics field.For handwritten code, it is difficult to keep each line of program written in compliance with these specifications.This paper presents a python-based C language generator.This device is implemented by python, through which some C language programs conforming to certain specifications can be implemented, such as variable definition, macro definition, structure type definition, enumeration type definition, etc.
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Open AccessArticles
by Guanyi Bao
2023,10(5);
281 Views
Abstract
Transition metal cholochide molybdenum telluride (MoTe2) has three crystal phase structures of 2H, Td and 1T', among which 2H phase structure (2H-MoTe2) has attracted much attention due to its small band-gap width (1eV) and high carrier mobility (2500cm2·V-1·s-1). Hexagonal (2H-MoTe2) polycrystals are an indirect gap semiconductor, but refining them into several layers leads to the emergence of a direct band gap of 1.1eV. By comparing the different preparation schemes, as well as the growth preparation methods of other two-dimensional materials, we found that the reactivity of tellurium can be improved by introducing hydrogen, which has the same role in the preparation of other transition metal chalcogenides. In this paper, we successfully prepared two MoTe2 films with different morphologies by chemical vapor deposition. In addition to introducing hydrogen as carrier gas, NaCl was added as catalyst in order to increase the concentration of Mo atoms during the reaction.
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Open AccessArticles
by Jizhou Cai
2023,10(5);
262 Views
Abstract
Deep reinforcement learning (DRL) is a burgeoning sub-field in the realm of artificial intelligence that combines the benefits of deep learning (DL) and reinforcement learning (RL). By integrating these two methods, deep reinforcement learning has effectively addressed previously complex problems related to autonomous driving system (ADs) and has played a vital role in their development. Specifically, deep learning enhances reinforcement learning’s ability to handle extensive high-dimensional data, which is critical for ADs. In this review, we mainly concentrate on the application of DRL algorithms in ADs, focusing primarily on decision-making processes. The review will be- gin by introducing deep learning and reinforcement learning independently before delving into the current applications, future prospects, and challenges facing deep reinforcement learning in this field. Finally, we will conclude with a summary of this review.
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Open AccessArticles
by Xianghui Cang, Jin Wang, Shuchao Zhang
2023,10(5);
192 Views
Abstract
To meet the needs of China's green, low carbon and high quality development combined with the revision of the unit energy consumption standards for electrolytic aluminum and aluminum oxide products in the relevant industries, energy consumption levels, statistical scope and other content, in accordance with enterprise research, departmental regulations, industry needs to integrate and revise the original standards. It is conducive to guiding the aluminum smelting industry to increase energy saving and carbon reduction efforts, eliminate backward production capacity and process equipment, promote the research and development and promotion of energy-saving technology for aluminum smelting, and provide technical support for the implementation of energy-saving and carbon reduction goals for the aluminum smelting industry.
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Open AccessArticles
by Xin Cao
2023,10(5);
211 Views
Abstract
This paper makes use of the preliminary analysis of the image, through its basic image features, to find the suitable model and algorithm. Using Matlab to process the image, and then using fuzzy clustering analysis, boundary matching model and other analysis, to achieve the purpose of solving the problem. In view of the first problem, the image is prepared for processing first, and the image is segmented in batches. Since the image given by the attachment is BMP form, we first use MATLAB to process the image given by the attachment, so that it is stored in the standard data storage format of Matlab. In view of problem two, we first define the submatrix by defining the search neutralization domain and the coverage domain, and then establish the boundary matching method model, and for the first time the left and right boundary of the matrix to be obtained and the left and right boundary of the obtained submatrix are matched.
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Open AccessArticles
by Chengxiang Chen
2023,10(5);
208 Views
Abstract
The enrichment of musical materials is a very long process, and the exploration of new materials is also a traditional thing. These foundational works deepened the understanding of music and sound, and at the same time promoted the progress of music as a discipline.
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Open AccessArticles
by Rong Chen, Mingyuan Liu, Yingchao Niu, Zhuolin Yu
2023,10(5);
248 Views
Abstract
Seismic signal identification is an important part of seismology and earthquake observation, but urban engineering and unnatural seismic events interfere with seismic recording and management, requiring the use of data to build relevant and reliable models for identification and exclusion. Firstly, the seismic wave signals are mapped according to the data, the signal characteristics are observed, the seismic signals are decomposed using CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise), the sample entropy is solved for the first 7 IMFs, and the sample entropy is utilized to construct the feature vectors as the Using the sample entropy to construct feature vectors as training features, KNN (K-NearestNeighbor), and SVM (Support Vector Machine) models were constructed to solve and evaluate the model effects, Recall and F1score, with the highest score reaching 100%. It plays a crucial role in the development of earthquake early warning technology as well as earthquake prevention technology, and has great reference value for future related research.
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Open AccessArticles
by Zhihua Fang
2023,10(5);
195 Views
Abstract
In response to the current situation of electronic communication in China, analysis can be conducted from the perspectives of influencing factors and solutions. With the rapid development of society and technology in our country, we have broken through new development rates. Based on the continuous efforts of relevant technical staff, China's electronic communication technology has achieved milestone development in recent years. As the most important assistance facility, the utilization rate of electronic communication has been fully covered. Within the entire society, most areas have been covered by electronic devices, bringing great convenience to our lives. Especially nowadays, the reliance on electronic communication equipment in China is becoming increasingly strong, such as the high installation rate of WiFi, which has achieved coverage in most regions. Based on this, this article analyzes the current situation of electronic communication and common interference and control measures.
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Open AccessArticles
by Zhengtao He, Sensen Niu, Jikun Du, Shaowen Tang, Yuexin Qi
2023,10(5);
188 Views
Abstract
With the continuous advancement of digital electronic technology, the domestic emphasis on cultivating talents in the field of digital technology has been increasing. Our team designed an efficient and high-precision digital circuit experiment board that is small in size, easy to carry and store, and is not limited by the site. It can be used for experiments in dormitories, classrooms or training rooms. The designed digital signal generation board is easy to operate, low in error rate, flexible in structural design, and improves the stability, safety and reliability of the circuit.
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Open AccessArticles
by Zixuan Ji
2023,10(5);
211 Views
Abstract
This paper summarizes the practical application and development trend of artificial intelligence technology in the field of computer network. Artificial intelligence has been widely used in network communication, management and security, and other aspects, to achieve the network independent optimization, fault self-healing, threat identification and other intelligent capabilities. Artificial intelligence is a key technology to promote the evolution of the next generation network to the direction of adaptive, intelligence and security. The use of artificial intelligence also faces challenges such as algorithm deviations and regulatory constraints. Collaborative innovation algorithms and systems and the establishment of legal ethics systems are needed to promote the healthy development of AI and the progress of computer networks.
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Open AccessArticles
by Xiaofei Li
2023,10(5);
187 Views
Abstract
Skyline retrieval is a broad data processing method, especially for multi-keyword retrieval. On the basis of analyzing the deficiencies of the existing Skyline algorithm, a data retrieval method for efficient parallel Skyline computing is proposed. A database index structure Par-Tree is constructed, and signature information is added to reduce the bit collision probability in the retrieval overshoot and filter out the retrieval area irrelevant to keywords, the irrelevant information points are pruned. Based on the Par-Tree index structure, a multi-keyword mining algorithm PSkyline algorithm is proposed. The experimental results show that the method improves the execution efficiency of data mining, and can effectively solve the multi-keyword Skyline retrieval problem.
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Open AccessArticles
by Shu Liang
2023,10(5);
180 Views
Abstract
Computer virtual reality technology has developed rapidly, in the context of the "Internet +" era, has been widely used in many fields, but in the actual development process, it is also necessary to comprehensively analyse the key technologies, so as to lay a foundation for the subsequent application. Based on this, this paper analyses the key points of virtual reality technology from the computer, and on the basis of clear corresponding key technical content, combined with practical application cases to clarify the specific application methods for reference.
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Open AccessArticles
by Shuhong Liu
2023,10(5);
203 Views
Abstract
Research on the Learning and Information System Based on Blockchain[]
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Open AccessArticles
by Yan Liu, Haimin Zhang
2023,10(5);
191 Views
Abstract
Currently, in the field of computer vision, video behaviour recognition has become a hot content and has been applied in many emerging industries. This paper explores the application of deep learning method in video behaviour recognition technology by taking the multi-temporal information fusion recognition method as an example, and investigates the practical application value of this method by constructing a model of artificial neural network and taking an experimental approach, in order to have positive significance to the development of intelligent human-computer interaction technology in China.
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Open AccessArticles
by Yong Liu
2023,10(5);
281 Views
Abstract
The paper proposes a fault diagnosis method for small modular pressurized water reactors (SMPWR). Due to the compactness and complexity of SMPWR, for general fault diagnosis methods, it is difficult to extract the corresponding special complex fault characteristics, resulting in a great increase in the difficulty of diagnosis. Therefore, this paper intends to propose a more applicable diagnosis method in close combination with the characteristics of SMPWR. Traditional machine learning methods based on feature selection and feature extraction work well in other research areas, but when it comes to SMPWR, it is difficult to determine the features that should be extracted, and different feature selection can cause great interference in the diagnosis results. Therefore, this project proposes to use advanced deep learning algorithms to automatically learn fault features of complex systems, reduce human interference, and build up more reasonable and accurate intelligent diagnostic models.
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Open AccessArticles
by Haiyang Long, Jianqiang Zhang, Dong Wang, Mengze Ma, Yunzhe Li
2023,10(5);
241 Views
Abstract
In order to solve the high cost and low efficiency of different degrees of pollution control of natural water resources in China at this stage, photocatalytic water purification technology is adopted to reduce the cost of water pollution treatment and improve the treatment efficiency, and an intelligent vehicle equipped with photocatalytic materials is proposed, which is equipped with industrial cameras, communication positioning modules and sensors, and realizes dynamic planning of navigation routes by improving ant colony algorithms, computer vision recognition, ultrasonic obstacle avoidance, and realizes photocatalytic fixed-point purification. Predict advanced photoelectric catalytic performance based on density functional theory and machine learning, solve the problem of BiVO4 photo corrosion and instability, and achieve efficient water purification at low cost.
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Open AccessArticles
by Yu Peng, Meng Luo, Shuai Li
2023,10(5);
246 Views
Abstract
This paper aims to research and develop a campus map application based on augmented reality (AR) technology, aiming to provide a more intuitive and interactive campus navigation experience. Based on the analysis of existing navigation systems and related research literature, this study designs an innovative AR campus map application prototype based on Jiangxi University of Finance and Economics. This application utilizes AR technology, combines campus map data and location information to provide users with real-time navigation and positioning functions, and displays relevant campus information. The results of this paper can provide guidance for the development and optimization of campus navigation systems, and also have reference value for the application of AR technology in the field of education.
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Open AccessArticles
by Lei Shi
2023,10(5);
193 Views
Abstract
In the context of the new era, China has put forward new requirements for smart campus services.This paper firstly analyzes the current situation of the development of smart campus services, and leads to the conclusion that exploring and optimizing the construction of "one network for all" will become the main trend in the development and construction of smart campus services. Secondly, analyzing the importance of "one network for all" for the construction of smart campus services through the "one network for all" construction of "smart government". Thirdly, the construction method of "one network for all" is described from three aspects: architecture, construction path, and key technologies. Finally, the construction significance of "one network for all" in the field of smart campus service is summarized and prospected.
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Open AccessArticles
by Sicheng Wan, Yuyang Wang
2023,10(5);
269 Views
Abstract
This design is aimed at using Siemens S7-1500 series PLC as the control system, and using a single six story elevator simulation model as the controlled object. After consulting literature on PLC controlled elevator systems and studying the control technology schemes used in the literature, the control design for a single elevator was completed. A group control algorithm based on scheduling principles was adopted to minimize waiting time and receive call signals from each elevator. By calculating the time required for each elevator, the shortest elevator was selected for transportation. Compared to other group control algorithms, the implementation of this group control algorithm is simple, has a short development cycle, and has good control effects. It can well meet the design requirements of passenger capacity, average waiting time, average passenger travel time, and overall system energy consumption.
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Open AccessArticles
by Yuqi Wang
2023,10(5);
196 Views
Abstract
In order to solve the problem of low accuracy of sampling irregular tracks, a time series clustering algorithm for detecting stops is proposed. Firstly, based on the data field theory, a hybrid feature density detection method considering temporal and spatial characteristics is designed. Secondly, according to the characteristic that the center density of the stop point is greater than the inlet density, the filtering and refining strategy is used to extract the stop point. In the filtration stage, the time duration and the minimum density threshold are selected as the candidate residence points. The maximum threshold is used to identify the actual residence point in the refining stage. The experimental results show that the proposed method can effectively detect the residence points on the irregular trajectories with higher accuracy and less time consumption than the existing methods.
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Open AccessArticles
by Zhongyu Wang
2023,10(5);
220 Views
Abstract
In the current era of continuously improving technological level, various electronic products have emerged one after another, bringing great convenience to people’s lives. Electronic circuit simulation technology is also widely used in circuit design, which has an important effect on improving the overall quality of circuit design. In addition, the widespread application of electronic circuit simulation technology has further reduced the development time of similar products, ensuring circuit performance. Based on this, this article mainly explores and analyzes the application practice of electronic circuit simulation technology in integrated circuit design, for reference by relevant personnel.
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Open AccessArticles
by Ziming Wang
2023,10(5);
178 Views
Abstract
With the rapid development of China, the urban and rural space resources have been further explored and utilized. In order to improve the basic conditions of urban and rural areas and promote the development of urban and rural areas to meet the needs of people’s lives, leaders and planners are considering how to use modern information technology to improve the planning and management of urban and rural areas, so that urban and rural space resources can be better used and constructed. GIS technology is widely used in the field of urban and rural development planning, which can bring great convenience to the information processing, decision-making and implementation of urban and rural construction and spatial planning. This paper briefly discusses the significance and function of GIS technology in urban and rural planning and management, and then analyzes the application of GIS technology in urban and rural planning and management. It is expected that the research of this paper can help to improve the efficiency of urban and rural planning and management.
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Open AccessArticles
by Ke Wu, Yangliangxu Wang, Linyuan Zhou, Zutao Cui
2023,10(5);
218 Views
Abstract
Motor is a commonly used equipment in modern industrial production, vibration is an important basis to reflect the operation of the motor. The analysis of the vibration types and characteristics of the motor is of great significance to the performance, reliability and life of the motor. Through the analysis, it can effectively grasp the operation and performance status of the motor, and provide a basis for the maintenance work. Based on this, this paper analyzes the vibration types and characteristics of motors and proposes some effective prevention and treatment measures.
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Open AccessArticles
by Junjie Xiong
2023,10(5);
235 Views
Abstract
This paper focuses on the close relationship between artificial intelligence (AI) and innovation in enterprise management. It delves into how AI is transforming management practices, presenting both opportunities and challenges for businesses. By analyzing data-driven decision-making, automated processes, personalized customer experiences, and organizational structures, we can clearly see the pivotal role of AI in optimizing and revolutionizing enterprise management. Despite the significant opportunities AI brings, businesses also face challenges such as technological updates, potential job displacement, and data privacy concerns. Enterprises need to comprehensively understand and proactively address these changes.
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Open AccessArticles
by Biao Xue
2023,10(5);
205 Views
Abstract
This paper presents a detailed analysis of the causes of crack defects, porosity defects, oxidation burn defects, substrate deformation defects in the process of operation, surface flatness not up to the expected defects and effective solutions to control the method, hoping to provide relevant practitioners with certain references to reduce the incidence of defects of the surface layer of the laser melting and cladding process from the fundamental level to improve the performance of the material, and ultimately to contribute to the development of China's manufacturing industry, and the development of a better, more efficient, and more effective way to reduce defects. In the end, it will make a better and greater contribution to the development of China's manufacturing industry.
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Open AccessArticles
by Wenjiao Zai, Kai Yang
2023,10(5);
238 Views
Abstract
The elevator door system is affected by the physical structure, external factors and geographical location and other factors, and has become the most prone to failure and accident components in the eight elevator systems. Select 15 evaluation factors including speed, acceleration, operating noise, vibration frequency and response time in the transmission system; voltage, current, corrosive gas, conductive dust in the safety protection system, engagement depth, leveling accuracy, temperature, humidity, balance coefficient and load weight in the stripping system, calculate the subjective and objective weight of each evaluation factor by AHP and CRTIC evaluation method, establish the AHP-CRTIC comprehensive evaluation model. Compared with the evaluation results of AHP, C RTIC and AHP-CRITIC models in the actual elevator system, the results show that the evaluation accuracy of combined empowerment is the highest, which provides a new idea and method for the safety performance evaluation of the elevator door system.
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Open AccessArticles
by Lupeng Yang
2023,10(5);
214 Views
Abstract
This paper first introduces the basic concept of artificial neural network, introduces the development history of artificial neural network, and analyzes the application of artificial neural network in mechanical engineering based on actual cases.
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Open AccessArticles
by Yan Yang
2023,10(5);
191 Views
Abstract
In the process of computer network technology development in the new era, in order to improve the security and reliability of computer network operation, it is necessary to conform to the development trend of big data technology, start flexibly from the following aspects, and give full play to the application value of artificial intelligence technology, such as intelligent cloud computing, intelligent routing algorithm, load balancing application, network topology optimization, network anomaly detection, intelligent data caching, intelligent network management, etc. This paper analyzes and discusses the application of artificial intelligence technology in computer network technology under the background of big data.
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Open AccessArticles
by Zijun Yang
2023,10(5);
187 Views
Abstract
With the growing national economy and the development and progress of science and technology, computer networks have achieved all-round popularization and coverage. At present, the Internet has covered all aspects of people's lives, which facilitates people's life and work. However, due to the openness of the network itself, network security problems have followed. If these problems cannot be effectively solved, people's privacy security will be seriously endangered. Big data mining technology is one of the effective means to solve this kind of network security problems. We can find high-security and high-value information from a large amount of data, create a safe network environment for people, and provide great help for the subsequent development of computer networks.
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Open AccessArticles
by Jie Yao, Jie Zhu, Xinjian Zhang
2023,10(5);
195 Views
Abstract
In the past decade, structured lighting illumination technology has developed rapidly. It provides a convenient method for directly obtaining a single spectral component of an image. It is proposed in this paper that teaching image spectra through structured light lighting. Through image spectrum acquisition and image reconstruction, the relations between spatial and frequency domains are demonstrated vividly. Case teaching combined with group research is used to guide students to understand and process images in frequency domain.
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Open AccessArticles
by Jiawei Zhang
2023,10(5);
283 Views
Abstract
This article provides an in-depth analysis and exploration of strong current engineering technology in building electrical installation, in order to provide communication and discussion for relevant personnel. At the same time, it also hopes that valuable suggestions from colleagues can be put forward in a timely manner.
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Open AccessArticles
by Ke Zhang
2023,10(5);
194 Views
Abstract
At present, 5G network has fully penetrated into people's daily work and life, and this technology has a very broad development space because it not only realizes modern transmission of information data but also guarantees information transmission security to the maximum extent by virtue of high-quality information transmission mode and transmission speed. Based on this, this paper briefly analyzes the current situation of 5G network technology research based on computer technology, and discusses the future development prospects of 5G technology for reference.
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Open AccessArticles
by ManLi Zhang, Rui Chen, Jing Li
2023,10(5);
187 Views
Abstract
The normal distribution is a widely used distribution and has a very important probability distribution in the fields of mathematics, physics and engineering. In natural and social phenomena, a large number of random variables obey or approximately obey the normal distribution, so it is always customary to assume that they are in line with normality when doing data analysis, but whether the assumption is true or not depends on the normality of test. Therefore, the judgment method of normal distribution is also particularly important. This paper proposes corresponding test methods for univariate normality and multivariate normality under the premise of R language.
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Open AccessArticles
by Chih-Ming Chang
2023,10(5);
205 Views
Abstract
Today, the Internet of People in the past has evolved into the Internet of Things (IoT), forming a ubiquitous network environment. IoT enables all smart objects to communicate with each other through the Internet, achieving a network of interconnection between things. Since the foundation of IoT is still on the Internet, the main purpose of this research is to explore the feedback provided by context-aware applications and sensor information in the IoT environment. In addition, an IoT-based Mobile Commerce model (IoTMC) for the IoT is proposed in this research. The main purpose of the IoTMC is to integrate the technology of IoT and the information of related users in mobile commerce into a model. Through the IoTMC model, so as to enhance the benefits of IoT application layer.
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Open AccessArticles
by Zihan Zhang, Jikun Du, Jingwen Li
2023,10(5);
193 Views
Abstract
An innovative bandwidth tunable optical filter with controllable bandwidth, center frequency, and transmission zero is proposed in this paper. The proposed filter utilizes a quad-mode resonator to achieve a wideband filter centered at 2.42 GHz. By incorporating varactor diodes into the open branches of the resonator, the proposed filter's center frequency and bandwidth can be dynamically adjusted via the voltage applied to the diodes. This tunable filter exhibits low insertion loss of less than 2 dB, return loss exceeding 10 dB, and a relative bandwidth of up to 40%.
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Open AccessArticles
by Junhao Zhao
2023,10(5);
270 Views
Abstract
At present, The use of robotics and automation is growing at a breathtaking speed, injecting strong momentum into economic and social development. With the acceleration of the new round of technological revolution and industrial transformation, the robot industry is ushered in a window period of upgrading and changing development. The world's major industrial developed countries have taken robots as the forefront and focus of competition in the technology industry. This article mainly introduces the basic structure of industrial robots and their applications in the field of automotive assembly and pump manufacturing. It also analyzes the shortcomings of domestic robots and the current solutions.
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Open AccessArticles
by Lijia Zhao
2023,10(5);
224 Views
Abstract
With the popularization and development of the Internet, online information resources play an important role in improving digital literacy skills. Through reviewing and analyzing the related literature, this paper discusses the impact of online information resources on digital literacy skills and proposes some effective methods and strategies to improve digital literacy skills.
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Open AccessArticles
by Chuanjie Lin, Jiehua Zhong
2023,10(5);
173 Views
Abstract
With the development of the digital era, Electronic Games, as an emerging form of entertainment, have become an indispensable part of people's lives. And the museum is also an important place for people to know history and culture. In order to attract more young people to visit museums, the integration of Electronic Games and museums has become a trend. Therefore, it has become a new marketing strategy to jointly launch a "Electronic Games + museum" component brand. Based on this, this paper analyses the branding effect of a game and a museum for reference.
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Open AccessArticles
by Xiaoliang Zhou
2023,10(5);
182 Views
Abstract
The Internet of Things (IOT) is a prominent technology that enables networked connection and data transfer between physical devices. It has found applications in home automation, healthcare, environmental monitoring, and industry. However, the exponential growth of IOT devices has raised concerns about network security, data leaks, and potential threats. This paper aims to provide an overview of security risks in various IOT areas, improve IOT application architectures, and explore recent security mechanisms and technologies. The conclusion highlights the importance of security attributes and discusses four technologies, namely blockchain, fog computing, edge computing, and machine learning, to enhance IOT security.
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Open AccessArticles
by Haoyu Zhu
2023,10(5);
236 Views
Abstract
Unity is a 3D game development tool and game engine suite, which includes graphics, audio, physics, network and other engine support, and has a very powerful editor to integrate. This paper discusses the application of Unity technology in game development, including the features and functions of engine technology, interface and operation, collision technology and the overall system framework, in-depth research on game development technology, and looks forward to more excellent games.
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Open AccessArticles
by Yang Hou
2023,10(5);
215 Views
Abstract
This study aims to design and construct a passive cavitation detector(PCD), which has high sensitive to low frequency components of periodic shock waves. This device will feature a geometrically focused, curved active element surface, A finite element model in PZflex was created to simulate the detecting process of the focused shock wave passive cavitation detector (PZflex). And the performance is evaluated against the novel shock wave passive cavitation detector (swPCD), which was designed and constructed by the cavitation laboratory (Cavlab), medical and industrial ultrasonic (MIU).
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Open AccessArticles
by Honglin Wang
2023,10(5);
198 Views
Abstract
With the widespread adoption of the Internet and the growing volume of data storage, cloud computing has emerged as the predominant method for storing information. It offers users convenient and efficient storage processes, along with remarkable flexibility and scalability. By dynamically allocating computing resources and storage space according to user needs, cloud computing ensures secure storage of information data. In light of this, this paper provides a comprehensive overview of the specific application of cloud computing technology in the field of computer security storage.
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Open AccessArticles
by Runshan Zhou, Tianmin Chen, Geren Wang
2023,10(5);
209 Views
Abstract
This article firstly introduces recent dilemmas of traditional archaeological methods in archaeological studies. To solve these problems, bringing in modern scientific technologies is necessary. Then explaining working principles of photoelectric technology equipment like TEM, SEM, XRF, XPS, and their applications in field of archaeology. Finally in a case study of unearthed ceramics from Zhouqiao site in Kaifeng, listing some practical academic problems can be solved by above technologies.
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Open AccessArticles
by Xuxu Zhou
2023,10(5);
211 Views
Abstract
This study comprehensively analyzes the key technologies that support the development of the metaverse, including VR, Blockchain, AI, and 3D avatars, and their roles within the metaverse. By researching these technologies, it examines how the metaverse disrupts the field of cultural creativity.The study aims to provide future guidance for the cultural creativity field, Whether it's for creative companies or artistic creators, it's crucial to stay ahead of the trends and make preparations to transition from traditional domains to the 3D metaverse in a timely manner.
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Open AccessArticles
by Zekang Hou, Jialu Chu, Shuaihong Liu, Yongtuo Zhang, Chen Li
2023,10(5);
244 Views
Abstract
With the development of Internet technology and the intensification of population aging, whether to provide effective smart old-age service security for the elderly has become a social public issue of concern. Through convenient Internet information technology, build an Internet communication platform for smart elderly caring services, and provide comprehensive care and convenience for the elderly with the help of elderly care information dissemination and community mutual assistance in the platform, in order to improve the quality of life of the elderly and the level of social elderly care services, and promote the development of community elderly care services and the elderly silver industry chain. Therefore, aiming at the possible problems in the information communication process of the social smart elderly caring service platform, this paper explores the effective communication strategies and approaches of the social smart elderly caring service platform, which has practical social significance and value.
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Open AccessArticles
by Jiahui Huang, Chenfei Wei, Huimin Shi, Yang Lin, Haoyu Zhou
2023,10(5);
187 Views
Abstract
This paper takes Hangzhou as an example to study the current situation of the "Internet +" home care model in Hangzhou in the post-epidemic era and the satisfaction of citizens with this new pension model. We established a structural equation model of citizens' satisfaction with the "Internet +" home care model, and calculated the satisfaction index by combining the CSI satisfaction index.
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Open AccessArticles
by Linling Lai
2023,10(5);
177 Views
Abstract
In recent years, the development trend of communication industry in intelligent, broadband and mobile is obvious, the use of wireless traffic is rising rapidly, and information consumption has become a new symbol of accelerated economic growth. The continuous development of mobile communications has become an important guarantee of how to improve the level of social informatization and promote the development of the national economy. Nowadays, not only tends to the network update rate, but also tends to the emerging development of 5G network, in order to improve the level of informatization. Communication system has been updated from one generation to five generations, even though four generations of communication systems have been widely put into use, but not up to the needs of certain senior staff and the construction of various aspects of the country. In order to make the 5G system and the satellite system and the transmitter system merge and share, to avoid the interference to the satellite system in orbit and the plan to use the satellite system, the in-depth understanding and practice, go to solve the problem of self-interference, mutual interference, in order to ensure the efficiency of receiving information.
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Open AccessArticles
by Lei Liu
2023,10(5);
188 Views
Abstract
With the rapid development of network technology, a large number of information resources are heterogeneous, and the useful resources in grid space have the defects of low resource utilization rate and network load imbalance. The resource scheduling algorithm establishes the information resource model, organizes the resources reasonably, locates the useful resources quickly, improves the effective utilization of grid spatial resources, and makes the grid spatial node load balance.
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