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基于下一代网络架构的大学网络课程案例教学探索 基于下一代网络架构的大学网络课程案例教学探索
计算机科学 Pub Date : 2023-10-24 DOI: 10.55375/cps.2023.3.5
思彬 刘, 雯 陈, 雯静 胡, 昱潇 杨
{"title":"基于下一代网络架构的大学网络课程案例教学探索","authors":"思彬 刘, 雯 陈, 雯静 胡, 昱潇 杨","doi":"10.55375/cps.2023.3.5","DOIUrl":"https://doi.org/10.55375/cps.2023.3.5","url":null,"abstract":"针对网络通信相关专业的学生，本文提出了开设软件定义网络(Software Defined Networking，SDN)大学生课程，旨在提高他们的创新研究和实践动手能力，以支持其未来的职业发展。课程内容不仅包括理论教学，还提供了一套全新的实验教学方案，其中包括基础实验、进阶实验和综合实验，以帮助学生更好地掌握SDN领域的知识和技能。同时，为了激发学生的积极探索、实践和创新精神，在课程中采用了多种考核方法。通过这些方法，学生将被鼓励主动参与并应用所学知识，同时提高在SDN领域的综合素质。我们认为，通过本课程，学生不仅可以提升其理论知识水平，还能够通过实验教学的方式培养解决问题的能力，而这将为他们在SDN领域的职业发展奠定坚实的基础。","PeriodicalId":69833,"journal":{"name":"计算机科学","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135219388","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: 2
无人机辅助通信系统的安全能效研究 无人机辅助通信系统的安全能效研究
计算机科学 Pub Date : 2023-08-18 DOI: 10.55375/cps.2023.3.4
茂林 杨, 静 高, 俊驰 马, 浩楠 孙, 冰雁 陈
{"title":"无人机辅助通信系统的安全能效研究","authors":"茂林 杨, 静 高, 俊驰 马, 浩楠 孙, 冰雁 陈","doi":"10.55375/cps.2023.3.4","DOIUrl":"https://doi.org/10.55375/cps.2023.3.4","url":null,"abstract":"无人机(Unmanned aerial vehicle, UAV)辅助通信技术凭借其灵活的部署和配置、高度的机动性以及强大的自适应能力而备受关注。如何提高无人机信息传输的安全性和能量效率一直是研究重点。本文考虑无人机辅助通信中的窃听场景，通过交替优化无人机的飞行轨迹和发射功率来实现无人机与地面终端的安全节能通信，定义安全能效为性能指标，即服务时长内无人机推进能量消耗下的总保密率。由于目标函数非凸，首先将其分解为固定功率下的轨迹设计问题和固定轨迹下的功率分配问题两个子问题，然后使用凹凸过程(concave-convex process, CCCP)将子问题近似为凸优化问题，提出了一种基于顺序凸规划(sequential convex programming, SCP)的迭代算法。最后，通过交替优化子问题来得到原问题的解。仿真结果表明，本文提出的方法可以有效地提高系统的安全容量和安全能效。","PeriodicalId":69833,"journal":{"name":"计算机科学","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46891083","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
大学生资源共享“万里邻”APP 功能可用性研究及发展展望 Research and Development Prospects on the Functional Availability of the "Wanli Lin" APP for Resource Sharing among College Students
计算机科学 Pub Date : 2023-05-24 DOI: 10.55375/cps.2023.3.3
静欣 胡, 慧燕 余, 梦莹 邓, 艺鑫 王, 杨硕 赵, 会超 王
{"title":"大学生资源共享“万里邻”APP 功能可用性研究及发展展望","authors":"静欣 胡, 慧燕 余, 梦莹 邓, 艺鑫 王, 杨硕 赵, 会超 王","doi":"10.55375/cps.2023.3.3","DOIUrl":"https://doi.org/10.55375/cps.2023.3.3","url":null,"abstract":"“万里邻”APP 作为专门针对大学生的资源共享平台，其功能便捷实用，能够便捷大学生的生活。为了深入了解大学生对校园 APP 的需求，我们通过调查问卷的形式，随机采访了 260 名在校大学生，研究他们对大学生资源共享类 APP 的喜好程度和他们关注的功能。调查结果显示，绝大多数大学生认为，他们需要一款能够通过资源共享实现大学生之间交流和交友的 APP，同时 APP 最好可以兼具生活分享，生活便利等功能。","PeriodicalId":69833,"journal":{"name":"计算机科学","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46866518","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
基于跨模块融合的多模态情感分析 基于跨模块融合的多模态情感分析
计算机科学 Pub Date : 2023-02-20 DOI: 10.55375/cps.2023.3.2
敬伟 张, 彦松 李
{"title":"基于跨模块融合的多模态情感分析","authors":"敬伟 张, 彦松 李","doi":"10.55375/cps.2023.3.2","DOIUrl":"https://doi.org/10.55375/cps.2023.3.2","url":null,"abstract":"理解表达的情感和情绪是多模态情感分析的两个关键因素。人类语言通常是多模态的，包括视觉觉，语音以及文本三个模态，而每个模态又包含众多不同信息，比如文本模态包括基本的语言符号、句法和语言动作等， 语音模态包括：语音、语调以及声音表达等。视觉模态包括姿态特征、身体语言、眼神以及面部表达等信息。因此如何高效融合模态间信息便成为当下多模态情感分析领域的一个热点问题。为此，文章提出一种基于跨模块融合网络模型。该模型利用LSTM网络作为语言、视觉模态的表示子网络，同时利用改进升级的Transformer模型的跨模块融合对两种模态信息进行有效融合；为了验证文章中提出的模型的效果，在IEMOCAP和MOSEI数据集上进行了仔细评估，结果表明，该模型针对情感分类的准确度有所提高。","PeriodicalId":69833,"journal":{"name":"计算机科学","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48970809","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
公有区块链共识协议现状及未来发展 Current Status and Future Development of Public Blockchain Consensus Protocol
计算机科学 Pub Date : 2023-01-03 DOI: 10.55375/cps.2023.3.1
超华 李
{"title":"公有区块链共识协议现状及未来发展","authors":"超华 李","doi":"10.55375/cps.2023.3.1","DOIUrl":"https://doi.org/10.55375/cps.2023.3.1","url":null,"abstract":"共识协议(算法)是区块链技术的核心关键，从根本上决定了区块链网络的性能、安全性和可用性。本文简要阐述了目前最主流的两种公有区块链共识协议——PoW(Proof-of-work,工作量证明)和PoS (Proof-of-stake,权益证明)的起源、设计理念、优势、劣势以及一些知名的改进方案。最后，本文以目前世界上最著名的公有区块链智能合约平台——以太坊为例，总结了以太坊 PoS方案未来的发展前景和重大战略意义。","PeriodicalId":69833,"journal":{"name":"计算机科学","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43758772","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
基于Multi-Path RefineNet的多特征高分辨率SAR图像道路提取算法 基于Multi-Path RefineNet的多特征高分辨率SAR图像道路提取算法
计算机科学 Pub Date : 2020-03-15 DOI: 10.11896/JSJKX.190100124
陈立福, 刘燕芝, 张鹏, 袁志辉, 邢学敏
{"title":"基于Multi-Path RefineNet的多特征高分辨率SAR图像道路提取算法","authors":"陈立福, 刘燕芝, 张鹏, 袁志辉, 邢学敏","doi":"10.11896/JSJKX.190100124","DOIUrl":"https://doi.org/10.11896/JSJKX.190100124","url":null,"abstract":"","PeriodicalId":69833,"journal":{"name":"计算机科学","volume":"47 1","pages":"156-161"},"PeriodicalIF":0.0,"publicationDate":"2020-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65826431","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
基于“奖励制度”的DPoS共识机制改进 基于“奖励制度”的DPoS共识机制改进
计算机科学 Pub Date : 2020-02-15 DOI: 10.11896/JSJKX.190400013
陈梦蓉, 林英, 兰微, 单今朝
{"title":"基于“奖励制度”的DPoS共识机制改进","authors":"陈梦蓉, 林英, 兰微, 单今朝","doi":"10.11896/JSJKX.190400013","DOIUrl":"https://doi.org/10.11896/JSJKX.190400013","url":null,"abstract":"","PeriodicalId":69833,"journal":{"name":"计算机科学","volume":"47 1","pages":"269-275"},"PeriodicalIF":0.0,"publicationDate":"2020-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65826902","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: 1
有限值终态递归神经网络计算 (Time-variant Neurocomputing with Finite-value Terminal Recurrent Neural Networks) 有限值终态递归神经网络计算 (Time-variant Neurocomputing with Finite-value Terminal Recurrent Neural Networks)
计算机科学 Pub Date : 2020-01-01 DOI: 10.11896/jsjkx.181001898
Mingxuan Sun, Dingen Weng, Yu Zhang
{"title":"有限值终态递归神经网络计算 (Time-variant Neurocomputing with Finite-value Terminal Recurrent Neural Networks)","authors":"Mingxuan Sun, Dingen Weng, Yu Zhang","doi":"10.11896/jsjkx.181001898","DOIUrl":"https://doi.org/10.11896/jsjkx.181001898","url":null,"abstract":"","PeriodicalId":69833,"journal":{"name":"计算机科学","volume":"47 1","pages":"212-218"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65824598","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
自适应匹配追踪图像去噪算法 (Image Denoising Algorithm Based on Adaptive Matching Pursuit) 自适应匹配追踪图像去噪算法 (Image Denoising Algorithm Based on Adaptive Matching Pursuit)
计算机科学 Pub Date : 2020-01-01 DOI: 10.11896/jsjkx.181202280
Guihui Li, Jinjiang Li, H. Fan
{"title":"自适应匹配追踪图像去噪算法 (Image Denoising Algorithm Based on Adaptive Matching Pursuit)","authors":"Guihui Li, Jinjiang Li, H. Fan","doi":"10.11896/jsjkx.181202280","DOIUrl":"https://doi.org/10.11896/jsjkx.181202280","url":null,"abstract":"","PeriodicalId":69833,"journal":{"name":"计算机科学","volume":"29 1","pages":"176-185"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65825227","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
基于粗糙集和改进鲸鱼优化算法的特征选择方法 (Feature Selection Method Based on Rough Sets and Improved Whale Optimization Algorithm) 基于粗糙集和改进鲸鱼优化算法的特征选择方法 (Feature Selection Method Based on Rough Sets and Improved Whale Optimization Algorithm)
计算机科学 Pub Date : 2020-01-01 DOI: 10.11896/jsjkx.181202285
Shengwu Wang, Hongmei Chen
{"title":"基于粗糙集和改进鲸鱼优化算法的特征选择方法 (Feature Selection Method Based on Rough Sets and Improved Whale Optimization Algorithm)","authors":"Shengwu Wang, Hongmei Chen","doi":"10.11896/jsjkx.181202285","DOIUrl":"https://doi.org/10.11896/jsjkx.181202285","url":null,"abstract":"","PeriodicalId":69833,"journal":{"name":"计算机科学","volume":"47 1","pages":"44-50"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65825258","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: 6
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