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Coverless Image Steganography System Based on Maze Game Generation
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作者 Al Hussien Seddik Saad Mohammed S.Reda +4 位作者 GamalM.Behery Ahmed A.El-harby Mohammed Baz Mohamed Abouhawwash Ahmed Ismail Ebada 《Intelligent Automation & Soft Computing》 2023年第11期125-138,共14页
The trend of digital information transformation has become a topic of interest.Many data are threatening;thus,protecting such data from attackers is considered an essential process.Recently,a new methodology for data ... The trend of digital information transformation has become a topic of interest.Many data are threatening;thus,protecting such data from attackers is considered an essential process.Recently,a new methodology for data concealing has been suggested by researchers called coverless steganography.Coverless steganography can be accomplished either by building an image database to match its image subblocks with the secret message to obtain the stego image or by generating an image.This paper proposes a coverless image steganography system based on pure image generation using secret message bits with a capacity higher than the other traditional systems.The system uses the secret message to generate the stego image in the form of one of the Intelligence Quotient(IQ)games,the maze.Firstly,a full grid is generated with several specific rows and columns determined from the number of bits of the secret message.Then,these bits are fed to the full grid to form the maze game stego image.Finally,the generated maze game stego image is sent to the recipient.The experimental results,using the Bit Error Rate(BER),were conducted,and confirmed the strength of this system represented by a high capacity,perfect performance,robustness,and stronger hiding system compared with existing coverless steganography systems. 展开更多
关键词 Coverless data hiding digital image steganography intelligence quotient games maze game
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演化博弈强化学习模型在智能博弈对抗中的应用
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作者 王军 曹雷 +2 位作者 赵伟 张人文 龚洪涛 《陆军工程大学学报》 2023年第5期34-43,共10页
智能化指挥控制的核心问题是智能决策问题,智能决策的基础是作战计划的推演和行动计划的优化。演化博弈强化学习模型通过引入演化博弈,使模型能够充分考虑对手的博弈意志和指挥艺术,并且在求解过程中可以使用现有的强化学习算法进一步... 智能化指挥控制的核心问题是智能决策问题,智能决策的基础是作战计划的推演和行动计划的优化。演化博弈强化学习模型通过引入演化博弈,使模型能够充分考虑对手的博弈意志和指挥艺术,并且在求解过程中可以使用现有的强化学习算法进一步提升模型的效率。针对离散和连续两种不同场景,分别推导出对应的复因子动力学方程,并给出了非对称博弈问题的一般性求解策略,摆脱了“理性人”这一假设的演化博弈强化模型。相较于现有模型,表征精度更好,刻画博弈对抗更精确,更符合军事对抗实际,有助于智能蓝军的精准化建设,相关结论在多智能体建模平台NetLogo上进行了验证。 展开更多
关键词 智能化指挥控制 演化博弈 强化学习 纳什均衡
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七军会主媒体中心智慧场馆方案设计 被引量:1
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作者 彭一琦 容浩 +1 位作者 祁卫 郑梦笛 《建筑电气》 2020年第5期31-36,共6页
详细介绍第七届世界军人运动会主媒体中心智慧场馆方案设计,介绍其中的21个智能化子系统的功能及系统架构,包括综合布线系统、计算机网络系统、网络安全系统、视频监控系统、监控中心、分控指挥中心、入侵报警系统、赛事信息发布系统、... 详细介绍第七届世界军人运动会主媒体中心智慧场馆方案设计,介绍其中的21个智能化子系统的功能及系统架构,包括综合布线系统、计算机网络系统、网络安全系统、视频监控系统、监控中心、分控指挥中心、入侵报警系统、赛事信息发布系统、防冲撞硬隔离装置等。 展开更多
关键词 智慧场馆 智能化 七军会 媒体中心 综合布线 计算机网络 网络安全 可视化集成平台
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Asyncflow: A visual programming tool for game artificial intelligence
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作者 Zhipeng Hu Changjie Fan +2 位作者 Qiwei Zheng Wei Wu Bai Liu 《Visual Informatics》 EI 2021年第4期20-25,共6页
Visual programming tools are widely applied in the game industry to assist game designers in developing game artificial intelligence(game AI)and gameplay.However,testing multiple game engines is a time-consuming opera... Visual programming tools are widely applied in the game industry to assist game designers in developing game artificial intelligence(game AI)and gameplay.However,testing multiple game engines is a time-consuming operation,which degrades development efficiency.To provide an asynchronous platform for game designers,this paper introduces Asyncflow,an open-source visual programming solution.It consists of a flowchart maker for game logic explanation and a runtime framework integrating an asynchronous mechanism based on an event-driven architecture.Asyncflow supports multiple programming languages and can be easily embedded in various game engines to run flowcharts created by game designers.©2021 The Authors. 展开更多
关键词 Visual programming Flowchart game Artificial Intelligence
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