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关键词： 计算机   应用型人才   就业能力   市场需求  

摘要： 近年来,市场需求与高校毕业生就业能力之间始终存在严重的“技能差距”,毕业生的能力素质与市场需求之间存在显著的不匹配性。文章以计算机专业应用型人才为研究范本,从毕业生就业能力评估与供需匹配、人才需求与培养目标两方面进行论述,提出我院计算机专业应用型人才就业能力提升的有效路径。

关键词： Trajectory   Internet of Vehicles   Quality of experience   Predictive models   Costs   Computer science   Vehicle dynamics   Edge caching   Internet of Vehicles (IoV)   mobility-aware scheme   multimedia services   proactive caching  

摘要： By shifting the requested content to the edge in the Internet of Vehicles (IoV), edge caching is expected to be an effective solution to satisfy the low latency and high-reliability requirements of IoV users for multimedia services. However, the edge node's coverage area and storage space are limited. Moreover, since vehicles have high mobility and in-vehicle multimedia applications require sequential delivery for contents, we need to address two main issues: 1) how to optimize the proactive content caching decision (i.e., the placement of cached content chunks) among edge nodes (ENs) to provide better Quality of Services (QoS) for IoV users and 2) how to ensure that vehicles can download the required contents sequentially to improve Quality of Experience (QoE). In this article, we propose a mobility-aware proactive edge caching scheme (MSTPS), where the spatial and temporal prediction of vehicles are taken into account for content deployment and scheduling. Specifically, we optimize the caching decision based on predicting the vehicle's driving trajectory and travel preference. The scheme learns the vehicle's travel preferences to cope with mobility uncertainty by combining users with similar travel patterns. Meanwhile, the proposed scheme can support the sequential downloading of content chunks. Furthermore, in order to deal with the dynamic characteristics and unpredictable challenges of the IoV, we design a system recovery strategy, which can avoid the degradation of the proposed scheme due to the failure of prediction. Finally, by using real mobility data sets and scenarios, we explore the impact of the number of ENs deployed in advance for each vehicle's request when the cache needs to be updated on system performance. In addition, we evaluate the effectiveness of the proposed scheme. Our proposed scheme can achieve the best cache hit ratio and decrease caching costs compared to the existing mobility-aware in-order caching schemes.

关键词： Legged locomotion   Task analysis   Computer science   Tracking   Visualization   Head-mounted displays   User experience   Rotation gains   amplified head rotation   head-mounted displays  

摘要： Head tracking in head-mounted displays (HMDs) enables users to explore a 360-degree virtual scene with free head movements. However, for seated use of HMDs such as users sitting on a chair or a couch, physically turning around 360-degree is not possible. Redirection techniques decouple tracked physical motion and virtual motion, allowing users to explore virtual environments with more flexibility. In seated situations with only head movements available, the difference of stimulus might cause the detection thresholds of rotation gains to differ from that of redirected walking. Therefore we present an experiment with a two-alternative forced-choice (2AFC) design to compare the thresholds for seated and standing situations. Results indicate that users are unable to discriminate rotation gains between 0.89 and 1.28, a smaller range compared to the standing condition. We further treated head amplification as an interaction technique and found that a gain of 2.5, though not a hard threshold, was near the largest gain that users consider applicable. Overall, our work aims to better understand human perception of rotation gains in seated VR and the results provide guidance for future design choices of its applications.

关键词： 方法知识元   知识元库   知识元抽取   知识交流  

摘要： [研究目的]为细粒度发现相近学科间的知识关联,推动学科间知识交流,通过抽取方法知识元,探析不同学科领域研究方法的交流态势。[研究方法]以情报学和计算机科学学为例,首先,编写方法知识元抽取规则,基于规则抽取两学科领域大样本文献的方法知识元,构建学科领域方法知识元库;再利用LDA模型抽取两学科领域代表性期刊的方法知识元;以此为基础,对比分析两学科领域的高频研究方法、已交流的研究方法、存在交流潜力的研究方法。[研究结论]研究发现,两学科已交流的研究方法有:聚类分析、LDA模型、BP神经网络、支持向量机、主成分分析、协同过滤、文献计量等;具有交流潜力的研究方法有:提高准确率的分类算法(AdaBoost算法、XGBoost算法、SMOTE算法)、图卷积神经网络、自然语言处理模型GloVe模型等。该研究不仅能为情报学研究者选择计算机科学学领域的研究方法提供参考,而且也为学科交叉研究提供了一种新思路。

关键词： 计算机科学与技术   师范生   混合式教学能力标准  

摘要： 为迎接新时代背景下基础教育的核心素养导向新阶段和后疫情时代带来的新挑战,提高师范类专业人才培养质量,要从源头上持续提升师范生教书育人的能力水平。文章采用文献研究、问卷调查及专家访谈等科学方法,对计科师范生混合式教学能力进行了深入地探究和分析,并最终形成了一套涵盖混合式教学技能构成、混合式教学理念、多元化考评能力、教育信息化能力和混合式教学设计能力5个方面的计科师范生混合式教学能力标准。

关键词： Representation learning   Task analysis   Matrix decomposition   Decoding   Computer science   Complexity theory   Unsupervised learning   Multi-view clustering   deep clustering   unsupervised learning   self-supervised learning  

摘要： Multi-view clustering is an important research topic due to its capability to utilize complementary information from multiple views. However, there are few methods to consider the negative impact caused by certain views with unclear clustering structures, resulting in poor multi-view clustering performance. To address this drawback, we propose self-supervised discriminative feature learning for deep multi-view clustering (SDMVC). Concretely, deep autoencoders are applied to learn embedded features for each view independently. To leverage the multi-view complementary information, we concatenate all views' embedded features to form the global features, which can overcome the negative impact of some views' unclear clustering structures. In a self-supervised manner, pseudo-labels are obtained to build a unified target distribution to perform multi-view discriminative feature learning. During this process, global discriminative information can be mined to supervise all views to learn more discriminative features, which in turn are used to update the target distribution. Besides, this unified target distribution can make SDMVC learn consistent cluster assignments, which accomplishes the clustering consistency of multiple views while preserving their features' diversity. Experiments on various types of multi-view datasets show that SDMVC outperforms 14 competitors including classic and state-of-the-art methods. The code is available at https://***/SubmissionsIn/SDMVC.

关键词： 来华留学生   课程思政设计   程序设计类   一带一路”倡议  

摘要： 近年来,随着我国“一带一路”倡议的逐步推进,来华留学生数量不断增加,给我国高校留学生教育管理带来了新的挑战。为使留学生在专业课程学习过程中了解社会主义核心价值观,针对留学生群体特点,设计符合授课对象的专业课程思政建设显得尤为重要。以程序设计类课程为例,通过深挖具有中华优秀传统文化和现代文化及航空航天特色的思政元素,与课程知识要点有机融合,并应用到教学过程当中,以期为实现留学生培养的既定目标提供助力。

关键词： 计科师范生   混合式教学   混合式教学能力评价体系  

摘要： 为给计算机科学教育的发展提供有效的人才保障,以及推进该领域的不断创新与发展,文章通过文献综述、实践评估和专家访谈等方法,从混合式教学设计评价、信息化教学资源建设能力评价、混合式教学调控能力评价、混合式教学效果追踪评价、混合式教学成果的应用评价等方面入手,着力分析各因素下所蕴含的具体指标,最终形成了一套针对计科师范生的混合式教学能力评价体系。该评价体系的建立评估了计科师范生在混合式教学环境下所表现的各项能力,以便对计算机科学与技术师范专业开展更加有针对性的教育指导。

关键词： 高职   计算机专业课   课程思政   教学模式  

摘要： 高校专业课教学实施课程思政是当前教育改革的一条重要途径。计算机专业课的课程思政工作对促进计算机专业行业发展而言,具有重要的作用。高职计算机专业课开展课程思政建设,能够进一步提升计算机行业人才的专业素养、思想道德素养及思想政治水平,满足社会发展对人才质量的要求。文章首先对高职专业课课程思政的内涵进行分析,然后探究高职计算机专业课开展课程思政的必要性,最后以“关系数据库基础”为例,对高职计算机专业课课程思政教学模式的构建及实施进行探讨。

关键词： 计算机科学与技术   关键词   研究频次   高被引论文   SCIE   论文  

摘要： 文章以南昌大学、江西师范大学等江西30所高校为研究对象,以中国学术期刊全文数据库收录的计算机科学与技术学科领域的高被引论文(排名前10%)及科学引文索引(SCIE)收录的计算机科学与技术学科领域的论文为数据基础,对作者关键词词频及年度分布进行了统计分析。研究发现:国内外该领域持续研究30次以上的热点集中在特征提取、深度学习、卷积神经网络、粒子群优化、支持向量机、图像分割、图像处理、云计算等关键词上;近期研究前沿集中在任务分析、许可证、人工智能、能源效率等关键词上;具有发展潜力的研究方向有可能在计算建模、隐马尔科夫模型、混合有源滤波器、智能系统、分析模型、跌倒检测等关键词中产生。