Shengke Ye, Kaiye Dai, Guoli Fan, Ling Zhang, Zhihao Liang
Abstract: In this study, the network security of PostgreSQL database using Socket connection is deeply analyzed. By exploring Socket connections established by PostgreSQL over TCP, we find potential security threats and vulnerabilities during data transmission, which may expose database systems to network attacks such as unauthorized access and data leakage. In order to assess these security risks, this study simulated a variety of network attack scenarios, especially the implantation and detection of …
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Wenwen Zhang, Jianting Ye, Haodi Zhang
Abstract: Cardiovascular and cerebrovascular diseases (CVDs), diabetes mellitus, malignant tumours and chronic obstructive pulmonary disease (COPD), as typical chronic non-communicable diseases (NCDs), have increasingly become the major factors threatening the health of Chinese residents. In view of this, this study aimed to deeply analyse the key indicators and their interrelationships affecting the health status of the population, using the eight dietary balance criteria proposed in the newly revised …
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Jiahao Ji
Abstract: With the continuous development of the domestic stock market and the continuous improvement of the financial system system, and at the same time, the domestic stock market gradually rises in the financial system, based on the prediction research of the domestic stock market will become more and more important. In order to solve the problems of low precision and poor accuracy of short-term stock price prediction, this paper selects the bi-directional long- and short-term memory network of …
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Jiaqi Liu
Abstract: With the growing integration of artificial intelligence (AI) in determining pricing strategies, there is an increasing concern about its potential to foster collusive behavior. Harrington (2012, 2018) underscores the challenge: if AI proves more adept at tacit collusion than humans or if AI-driven collusion is inherently tacit, then it presents a significant hurdle for prosecution under the prevailing interpretation of US antitrust laws. Validating these concerns, Assad et al. (2020) observed …
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Shuangbo Zhang
Abstract: With the rapid progress of machine learning (ML) technology, more and more ML algorithms have emerged, and the complexity of models is also constantly increasing. This development trend brings two significant challenges in practice: how to choose appropriate algorithm models and how to optimize hyperparameters for these models. In this context, the concept of Automatic Machine Learning (AutoML) has emerged. Due to the applicability of different algorithm models to different data types and …
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Lincheng Ni
Abstract: In this paper, firstly, the movement direction of the measuring ship is clarified, and according to the requirements of factors such as the range of overlap rate is controlled at 10% to 20% and the sea area is completely covered, the optimization equation system is derived, and the objective function is derived through the requirements, and the optimal solution can be derived from the two associations as the 34 measuring lines and the total length of 68 nautical miles of the shortest measuring …
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Fangyu Gu
Abstract: With the rapid development of science and technology, artificial intelligence technology has become one of the most popular research fields in today's society. From intelligent voice assistants to self-driving cars, to medical diagnostics and financial risk control, AI technology has shown huge potential and value in all fields. This paper deeply explores the current situation, development trend and its application prospect of artificial intelligence technology in various industries. This paper …
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Yuxi Zeng, Siwei Zhong
Abstract: This paper uses linear regression to quantitatively analyse the performance of players in the men's singles competition at Wimbledon 2023. Firstly, the data is processed by observationally analysing the match data to ensure compliance with the tournament standards and regulations. Next, key metrics were extracted, including short-term and long-term metrics, as well as the introduction of Serve Indicator to consider the impact of serve advantage on player performance. Then, the most important …
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Ran Yu, Dan Li, Hongyun Gao, Shuang Chen
Abstract: On the ground of time series analyses, this paper excavates the trend in preliminary and carries out some short-term forecasts about future birthrate variation in wish to shed light on its solutions. This paper attempts to excavate the influence that several dominant factors exert on birthrates via regression analyses. The cluster analyses are utilized to filter out representative provinces as samples for subsequent research in order to tackle the problem that the correlations between dependant …
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Zhenwen Wei, Yanchao Jin, Jianbo Cui, Yazhou Han, Liangzhao Sun, Yan He, Gongpeng Wu
Abstract: In order to investigate the flow and heat transfer performances of supercritical CO2 in the PCHE, a two-dimensional micro-channel heat transfer model was established. The impacts of the airfoil fin arrangement on flow and heat transfer of supercritical CO2 in a PCHE were studied using Computational Fluid Dynamics software. The results show that the transfer efficiency of PCHE can be effectively improved by reducing the abeam and vertical distances between airfoil fins. However, the pressure drop …
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Manyu Zhao, Bing Li, Xiru Zhang
Abstract: This paper discusses the application, influence and long-term value of AIGC in film and television props design. Through deep learning and intelligent algorithms, AIGC technology can quickly generate high-quality film and television prop design schemes, improve design efficiency and accuracy, and save time and labor costs for film and television production. At the same time, AIGC technology can also promote the innovation of film and television props design, stimulate the creative inspiration of …
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Yuchi Zhang
Abstract: This paper proposes a complex overlapping pedestrian target detection model based on yolov3 model by multi-scale feature fusion and context-aware mechanism. The SONY A7R3a camera shot the model on campus, and the data set was obtained after editing and collating. There were 358 high-definition videos with a resolution of 1920*1080, and the frame rate was 50HZ, about 179,000 frames. Through testing, this paper finds that compared with Single Shot Multibox Detector (SSD), the detection accuracy of …
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Zhichun Wei
Abstract: Based on the commodity information of the supermarket in the annex, the detailed data of historical sales flow, the wholesale price of vegetable commodities and the recent loss rate of vegetable commodities, and through the data analysis of each category and each single product, the automatic pricing and replenishment decision-making model of commodities is established. Use the optimization evaluation algorithm to formulate the total daily replenishment and pricing strategy of each category and …
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Hengpan Zhang, Jiahua Li
Abstract: This paper provides an in-depth discussion on the application and progress of water colour remote sensing technology in monitoring changes in chlorophyll concentration in seawater. The hydrochromatic remote sensing technique uses spectral data acquired by remote sensing satellites and airborne platforms to monitor and analyse the distribution of marine chlorophyll, which is of great significance for understanding and protecting marine ecosystems. The article first introduces the basic principles …
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Xinkai Zhang, Jie Yin
Abstract: This article provides a comprehensive discussion of the application and importance of sea surface temperature (SST) remote sensing data in environmental assessment of fisheries. By analysing the collection, processing and practical application of SST data, the article demonstrates how this technology can help scientists and fisheries managers to better understand the impacts of ocean temperature changes on fisheries resources and its role in ensuring the sustainability of global fisheries. The …
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Chenhao Gao
Abstract: With the rapid growth of artificial intelligence (AI) technology, traditional obstacle detection equipment faces multiple challenges such as high cost, low real-time performance, non normalization, dependence on manual operation, and time-consuming and labor-intensive. To address these shortcomings, this article proposes a deep learning (DL) based obstacle detection technology for autonomous driving on the road surface. As a complex system that integrates multiple key components such as …
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Zixuan Jiang
Abstract: This article aims to optimize artificial intelligence algorithms in game design to enhance game performance and player experience. Therefore, an innovative method called Dynamic Game AI Fitness Optimization Algorithm (DGAFOA) was proposed in the article, and its effectiveness was verified through experiments. In the experimental section, this article applies the DGAFOA algorithm to a typical role-playing game and compares it with traditional fixed parameter AI algorithms. The experimental …
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