Nearest neighbor search algorithm based on multiple background grids for fluid simulation

The core of smoothed particle hydrodynamics (SPH) is the nearest neighbor search subroutine. In this paper, a nearest neighbor search algorithm which is based on multiple background grids and support variable smooth length is introduced. Through tested on lid driven cavity flow, it is clear that this method can provide high accuracy. Analysis and experiments have been made on its parallelism, and the results show that this method has better parallelism and with adding processors its accuracy become higher, thus it achieves that efficiency grows in pace with accuracy.     

Extraction of novel features for emotion recognition

Hilbert-Huang transform method has been widely utilized from its inception because of the superiority in varieties of areas. The Hilbert spectrum thus obtained is able to reflect the distribution of the signal energy in a number of scales accurately. In this paper, a novel feature called ECC is proposed via feature extraction of the Hilbert energy spectrum which describes the distribution of the instantaneous energy. The experimental results conspicuously demonstrate that ECC outperforms the traditional short-term average energy. Combination of the ECC with mel frequency cepstral coefficients (MFCC) delineates the distribution of energy in the time domain and frequency domain, and the features of this group achieve a better recognition effect compared with the feature combination of the short-term average energy, pitch and MFCC. Afterwards, further improvements of ECC are developed. TECC is gained by combining ECC with the teager energy operator, and EFCC is obtained by introducing the instantaneous frequency to the energy. In the experiments, seven status of emotion are selected to be recognized and the highest recognition rate 83.57% is achieved within the classification accuracy of boredom reaching 100%. The numerical results indicate that the proposed features ECC, TECC and EFCC can improve the performance of speech emotion recognition substantially.     

融贯中西的艺术孤行者——庄华岳与赵无极

庄华岳1935年考进国立艺术专科学校,与赵无极同班,感情甚笃,同是班里最为出类拔萃的.庄华岳在校学习时就显露出过人的天份和才能,成为老师眼中的奇才,作品受到业师吴大羽及同学赵无极的激赏.吴师拟荐庄出国留学,因抗战爆发终成泡影.后庄华岳几十年从事教育工作.赵无极毕业后赴法深造,成就为一代大师.1957年赵无极曾误信传言,...     

教学学术：高校教师专业发展的新维度

教学学术作为一种新的学术理念,淡化了教学与科研的矛盾,丰富了教师专业发展的内涵,对教师专业发展具有重要意义。学校应加强制度建设,营造良好的教学学术氛围;教师要正确认识教学学术与专业发展的关系,理顺教学与科研的关系,加强对教学的交流、反思和实践,以提升高校教师教学学术水平。     

环境监测实验教学模式改革与实践

针对目前环境监测实验教学与实际工作相脱节的不足,提出了将验证性教学改为以校园周边真实环境为监测对象,同时与创新性开放实验相结合的新教学模式,并进行实践探索。结果表明：学生参与实验的积极性普遍提高,其操作技能、独立思考解决问题的能力也得到了明显提高,同时为综合素质较高的学生提供了参与科研活动的平台。     

跨校联盟互信统一身份认证系统的实现

通过对跨校统一身份认证的技术平台Shibboleth 3种技术和标准规范SAML深入分析研究,设计了福州大学城身份认证,架构,并实现福州大学城等校间联盟互信跨校认证资源共享.     

基于API触发的软实时调度的设计与实现

针对开放软实时系统的需求,提出一种基于API触发的软实时系统调度架构.该设计可以灵活的适应企业的频繁变更需求,如新增调度终端,新增作业中心,新增执行作业等;该设计提供调度安全验证,优先级调度,并行执行,负载均衡等功能.文章给出了基于API触发的软实时系统调度的设计方案,实现方案与API调度接口.     

基于区域增长的连通域标记算法的优化

与以往基于区域增长的连通域标记算法用目标点作为种子不同,优化算法将游程作为种子,结合游程和种子算法的优点,减少种子的数量和目标点邻域的搜索次数.实验表明,本算法能有效地减少算法冗余操作,明显提高效率,且性能优于其它算法.     

数据处理在计算机辅助测试系统中的应用

计算机辅助测试系统通常采用数字滤波与整体曲线拟合的数据处理方法.以一组泵类试验中的实测数据为例,说明数据处理的原理、计算和实现的过程,以及通过曲线拟合得到的产品性能曲线.     

高校就业信息系统的开源平台解决方案

文章分析了基于开源平台建设高校就业信息系统的优势。通过比较各种开源软件,提出了一套开源平台解决方案,并以某高校就业信息系统为例,阐述了基于开源平台构建高校就业信息系统的设计和实现过程,对构建其他类似的中小型信息系统具有一定的借鉴作用。