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Application of AIGC in the design of film and television props AIGC 在影视道具设计中的应用
Transactions on Computer Science and Intelligent Systems Research Pub Date : 2024-04-10 DOI: 10.62051/d2g25p37
Manyu Zhao, Bing Li, Xiru Zhang
{"title":"Application of AIGC in the design of film and television props","authors":"Manyu Zhao, Bing Li, Xiru Zhang","doi":"10.62051/d2g25p37","DOIUrl":"https://doi.org/10.62051/d2g25p37","url":null,"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 designers, and create more diverse design styles. In addition, AIGC technology can intelligently recommend and optimize the design scheme according to the audience 's preferences and needs, enhance the audience 's viewing experience, and enhance the attractiveness of film and television works. All in all, AIGC has important application value in the design of film and television props, and has injected new impetus into the innovation and development of the film and television industry. With the continuous progress of technology and the continuous improvement of application mode, it is believed that the application of AIGC in the design of film and television props will play a more important role and promote the innovation and development of the industry.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140720337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Complex overlapping pedestrian target detection network based on the yolov3 model 基于 yolov3 模型的复杂重叠行人目标检测网络
Transactions on Computer Science and Intelligent Systems Research Pub Date : 2024-04-10 DOI: 10.62051/rpbbxx55
Yuchi Zhang
{"title":"Complex overlapping pedestrian target detection network based on the yolov3 model","authors":"Yuchi Zhang","doi":"10.62051/rpbbxx55","DOIUrl":"https://doi.org/10.62051/rpbbxx55","url":null,"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 the newly proposed model is slightly improved, the detection accuracy is the same as that of Faster R-CNN, and the detection accuracy of the newly proposed model is slightly worse than that of RetinaNet. However, the detection speed of Yolov3 is more than twice that of Single Shot Multibox Detector, RetinaNet and Faster R-CNN. The input size of Yolov3 is 320*320, and the processing of a single image only needs 22ms, so the detection speed of the simplified Yolov3 tiny is faster.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140718074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI Pricing: Adoption of Artificial Intelligences and Collusive Price 人工智能定价：人工智能的采用与合谋定价
Transactions on Computer Science and Intelligent Systems Research Pub Date : 2024-04-10 DOI: 10.62051/ed63gf48
Jiaqi Liu
{"title":"AI Pricing: Adoption of Artificial Intelligences and Collusive Price","authors":"Jiaqi Liu","doi":"10.62051/ed63gf48","DOIUrl":"https://doi.org/10.62051/ed63gf48","url":null,"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 collusive price surges linked to the adoption of pricing algorithms among German gas stations. Drawing from game theory—specifically the repeated game paradigm—this paper crafts a foundational mathematical model to analyze competition versus collusion dynamics. It also evaluates the resultant welfare implications of both scenarios. The paper further delves into the broader challenges posed by AI-powered pricing and advocates for potential policy countermeasures, including algorithmic regulation and collusion detection mechanisms.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140718167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring the intersection of network security and database communication: a PostgreSQL Socket Connection case study 探索网络安全与数据库通信的交叉点：PostgreSQL Socket 连接案例研究
Transactions on Computer Science and Intelligent Systems Research Pub Date : 2024-04-10 DOI: 10.62051/pzqebt34
Shengke Ye, Kaiye Dai, Guoli Fan, Ling Zhang, Zhihao Liang
{"title":"Exploring the intersection of network security and database communication: a PostgreSQL Socket Connection case study","authors":"Shengke Ye, Kaiye Dai, Guoli Fan, Ling Zhang, Zhihao Liang","doi":"10.62051/pzqebt34","DOIUrl":"https://doi.org/10.62051/pzqebt34","url":null,"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 Webshell, to reveal the vulnerability of PostgreSQL to such network threats. Especially in defending against complex and changeable cyber threats such as Webshell attacks, this research also uses machine learning and artificial intelligence techniques to improve the automation level of security threat detection and response. These technologies can help identify complex attack patterns and improve resilience to emerging threats, thereby enhancing the overall security of PostgreSQL databases.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140717525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Genetic Algorithm Based Path Planning for Seawater Depth Data Measurement in Real Scenarios 基于遗传算法的真实场景下海水深度数据测量路径规划
Transactions on Computer Science and Intelligent Systems Research Pub Date : 2024-04-10 DOI: 10.62051/jngyc112
Lincheng Ni
{"title":"Genetic Algorithm Based Path Planning for Seawater Depth Data Measurement in Real Scenarios","authors":"Lincheng Ni","doi":"10.62051/jngyc112","DOIUrl":"https://doi.org/10.62051/jngyc112","url":null,"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 lines. Using genetic algorithm to examine the real scene of seawater depth data measurement path planning, the length of the measurement line and coverage as an assessment index of the algorithm's subsequent optimization of the object of choice. Through the simulation of genetic mutation, crossover and selection operations, the total length of the shortest survey line is 21.5261 nautical miles, the percentage of missed sea area is 1.6%, and the overlap rate is 13.12% after the iterative solution of the genetic algorithm.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140717687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of sea surface temperature remote sensing data in environmental assessment of fishing grounds 海面温度遥感数据在渔场环境评估中的应用
Transactions on Computer Science and Intelligent Systems Research Pub Date : 2024-04-10 DOI: 10.62051/fpa2dm58
Xinkai Zhang, Jie Yin
{"title":"Application of sea surface temperature remote sensing data in environmental assessment of fishing grounds","authors":"Xinkai Zhang, Jie Yin","doi":"10.62051/fpa2dm58","DOIUrl":"https://doi.org/10.62051/fpa2dm58","url":null,"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 article begins by describing the importance of the marine environment to fishery resources and explains the development of SST remote sensing technology and its application to fishery location and environmental monitoring. The article then discusses in detail the application of SST data in practical fisheries management, in particular how it can help predict fish migration, optimise fishing activities, and assess the impacts of climate change on marine ecosystems. In addition, the article explores the main challenges faced when applying SST data, such as technical limitations, complexity of data interpretation, and unequal access on a global scale. Overall, this article highlights the indispensable role of SST remote sensing data in modern fisheries management, while also pointing out the limitations of its application and future directions. With the continuous advancement of remote sensing technology and the ongoing impact of global climate change, SST data are expected to play an increasingly important role in future fisheries environmental assessment and resource management.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140720202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimization and Performance Evaluation of Artificial Intelligence Algorithms in Game Design 游戏设计中人工智能算法的优化和性能评估
Transactions on Computer Science and Intelligent Systems Research Pub Date : 2024-04-10 DOI: 10.62051/djvg3176
Zixuan Jiang
{"title":"Optimization and Performance Evaluation of Artificial Intelligence Algorithms in Game Design","authors":"Zixuan Jiang","doi":"10.62051/djvg3176","DOIUrl":"https://doi.org/10.62051/djvg3176","url":null,"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 results show that the DGAFOA algorithm exhibits significant advantages in key indicators such as game task completion rate and player satisfaction. Specifically, game AI using the DGAFOA algorithm can respond more quickly and accurately to player behavior, improving the overall smoothness and fun of the game. In addition, the DGAFOA algorithm also introduces ε- The greedy strategy balances exploration and utilization, effectively avoiding the problem of AI getting stuck in local optima. This enables game AI to maintain stable performance while still possessing the ability to explore new strategies, bringing players more surprises and challenges.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140718637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The prospect exploration of artificial intelligence technology and its application 人工智能技术及其应用的前景探索
Transactions on Computer Science and Intelligent Systems Research Pub Date : 2024-04-10 DOI: 10.62051/sn7t0x23
Fangyu Gu
{"title":"The prospect exploration of artificial intelligence technology and its application","authors":"Fangyu Gu","doi":"10.62051/sn7t0x23","DOIUrl":"https://doi.org/10.62051/sn7t0x23","url":null,"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 briefly introduces the development process of artificial intelligence technology, including its origin, development status and key technologies. Then, it focuses on the application cases of AI technology in healthcare, finance, education, industry and other fields, and evaluates its impact and potential value. It discusses the challenges of artificial intelligence technology, such as data security and privacy protection, algorithm fairness and moral considerations. In view of these problems, the corresponding solution strategies and development suggestions are put forward. The future development trend of artificial intelligence technology is discussed, including the research and application of cutting-edge technologies such as deep learning, natural language processing and emotional computing. The conclusion pointed out that artificial intelligence technology will continue to change human life in the future and bring more innovation and breakthrough to various industries.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140719327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application and progress of water colour remote sensing technology in monitoring chlorophyll concentration changes in seawater 水色遥感技术在监测海水叶绿素浓度变化中的应用及进展情况
Transactions on Computer Science and Intelligent Systems Research Pub Date : 2024-04-10 DOI: 10.62051/vag1mq54
Hengpan Zhang, Jiahua Li
{"title":"Application and progress of water colour remote sensing technology in monitoring chlorophyll concentration changes in seawater","authors":"Hengpan Zhang, Jiahua Li","doi":"10.62051/vag1mq54","DOIUrl":"https://doi.org/10.62051/vag1mq54","url":null,"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 and development history of this technology, and then discusses in detail its applications in global ocean monitoring, including resource management, environmental assessment, and ecological protection. In the discussion, we highlight the advantages of water colour remote sensing technology in providing large-scale and efficient ocean monitoring, while also pointing out the challenges it faces in terms of data accuracy, atmospheric disturbance handling and algorithm development. In particular, these challenges are gradually being overcome with the application of advanced computational techniques, such as machine learning and artificial intelligence, resulting in significant improvements in monitoring accuracy and efficiency. Finally, this paper looks at the future direction of water colour remote sensing technology, including technological innovation, data integration and interdisciplinary collaboration, highlighting the potential value of this technology in addressing global climate change and marine environmental protection. Through this comprehensive analysis, we have gained a deeper understanding and appreciation of the important role of water colour remote sensing technology in global ocean monitoring and management.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140719927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study on Flow and Heat Transfer in Supercritical CO2 in Micro-channel Heat Exchanger 超临界二氧化碳在微通道热交换器中的流动和传热研究
Transactions on Computer Science and Intelligent Systems Research Pub Date : 2024-04-10 DOI: 10.62051/rf6hpt08
Zhenwen Wei, Yanchao Jin, Jianbo Cui, Yazhou Han, Liangzhao Sun, Yan He, Gongpeng Wu
{"title":"Study on Flow and Heat Transfer in Supercritical CO2 in Micro-channel Heat Exchanger","authors":"Zhenwen Wei, Yanchao Jin, Jianbo Cui, Yazhou Han, Liangzhao Sun, Yan He, Gongpeng Wu","doi":"10.62051/rf6hpt08","DOIUrl":"https://doi.org/10.62051/rf6hpt08","url":null,"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 of supercritical CO2 flow in the microchannel reduces with an increase in abeam and vertical spacing distances.","PeriodicalId":509968,"journal":{"name":"Transactions on Computer Science and Intelligent Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140720347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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