Design and Implementation of Interactive Streaming Media Education Platform Based on ASP.NET Technology

为满足当前学校对各类教学多媒体信息资源的数字化需求，设计并实现了面向互联网的交互式流媒体教育平台。交互式流媒体教育平台为教育教学工作在现代互联网上提供了较为丰富的多媒体信息表示手段，扩大了室内集中授课教学的信息量，充分利用了多种教学资源，提高了学生的学习效率。 论文包含了交互式流媒体教育平台的需求分析、交互式流媒体教育平台的设计及系统的实现等内容。对交互式流媒体教育平台需求分析从功能的需求方面展开，而交互式流媒体教育平台设计阐明了系统的总体架构、功能等模块。在交互式流媒体教育平台数据库设计当中，介绍交互式流媒体教育平台的数据库设计原则，并给出了交互式流媒体教育平台的基本表结构。在该系统分析和...A interactive an Internet-oriented streaming media education system is designed and implemented to meet the requirement of current school teaching with all kinds of multimedia information resources. IPES, which used in the modern Internet, provides a more wealth of multimedia information, expanding the teaching of the indoor concentration of the amount of information, being full advantage of a var...学位：工程硕士院系专业：软件学院_工程硕士(软件工程)学号：X201323029

室内植物表型平台及性状鉴定研究进展和展望

Plant phenomics is under rapid development in recent years, a research field that is progressing towards integration, scalability, multi-perceptivity and high-throughput analysis. Through combining remote sensing, Internet of Things (IoT), robotics, computer vision, and artificial intelligence techniques such as machine learning and deep learning, relevant research methodologies, biological applications and theoretical foundation of this research domain have been advancing speedily in recent years. This article first introduces the current trends of plant phenomics and its related progress in China and worldwide. Then, it focuses on discussing the characteristics of indoor phenotyping and phenotypic traits that are suitable for indoor experiments, including yield, quality, and stress related traits such as drought, cold and heat resistance, salt stress, heavy metals, and pests. By connecting key phenotypic traits with important biological questions in yield production, crop quality and Stress-related tolerance, we associated indoor phenotyping hardware with relevant biological applications and their plant model systems, for which a range of indoor phenotyping devices and platforms are listed and categorised according to their throughput, sensor integration, platform size, and applications. Additionally, this article introduces existing data management solutions and analysis software packages that are representative for phenotypic analysis. For example, ISA-Tab and MIAPPE ontology standards for capturing metadata in plant phenotyping experiments, PHIS and CropSight for managing complicated datasets, and Python or MATLAB programming languages for automated image analysis based on libraries such as OpenCV, Scikit-Image, MATLAB Image Processing Toolbox. Finally, due to the importance of extracting meaningful information from big phenotyping datasets, this article pays extra attention to the future development of plant phenomics in China, with suggestions and recommendations for the integration of multi-scale phenotyping data to increase confidence in research outcomes, the cultivation of cross-disciplinary researchers to lead the next-generation plant research, as well as the collaboration between academia and industry to enable world-leading research activities in the near future

平台式网络商务模式运营及定价策略分析

平台式网络商务模式在当前网络经济时代普遍存在并不断延伸到各行各业,平台由于多方参与者的介入其价值流的把握以及总体利益的获取更具复杂性特征,因此本文的目的在于通过相关文献研究的梳理与回顾探讨平台式网络商务模式的运营及定价策略,本文首先分析平台式商务模式的价值内涵及其参与主体,其次阐释平台的各种类型以及其所具有的网络效应,同时深入的分析了平台式网络商务模式的经济特性,以此入手最终总结出平台式网络商务模式各阶段的定价策略,最后对影响定价成功与否的重要因素进行梳理与剖析,以期为平台式商务模式的实业界和理论界提供一定的借鉴与参考

Promotion Strategy of O2O Platform for Retail Industry——A case based on Feifan APP

摘要 我国的实体百货行业在经历了快速发展和电子商务浪潮的冲击后，进入了低谷期，传统百货的商业模式亟待创新。大量传统零售百货企业引入了O2O模式，搭建了网络平台用于辅助或加强传统销售。对比线上、线下零售产业的现状和困境，引入实体零售百货O2O的商业模式，及实体零售百货O2O平台。平台针对整个零售行业，力求整合商业生态圈资源，为用户提供更多的资讯，为线下商业带来更多的客流，让线上线下互动起来。 以系统性的创新思维方式，运用文献分析法和归纳演绎法法分析实体零售百货O2O平台及平台的需求分析和平台的商务模式分析。再通过案例分析法对腾讯、百度、万达联合开发的飞凡电商平台进行案例研究。采用数据分析的方...Abstract After a period of rapid development and great challenges from e-commerce, retail industry in our country has fallen into the trough. The traditional business mode in this industry should be innovated immedately. A large number of traditional retail enterprises introduced the O2O model and built network platform to assist or strengthen their traditional sales. Comparison of online and off...学位：管理学硕士院系专业：管理学院_工商管理硕士(工商管理硕士)学号：1792015115174

Analysis on Regulation of P2P Online Lending Industry(HONGLING CATITAL as an example

近年来，P2P网络借贷行业进入了快速发展的阶段，每年的平台数量以及成交量均呈现数倍的增长，行业内出现了红岭创投、人人贷、陆金所等知名平台，而平台的运营模式也有所区别，不同的平台利用各自模式的特点进行大力推广，同时也出现了分化。部分平台由于有国有企业、上市公司的背景，更能够获取投资者的信任，规模越做越大，但更多的平台由于没有很好的“靠山”，在营销和推广上遭遇瓶颈，仅仅维持在一个相对低的规模水平，发展艰难，最终有一批P2P平台选择退出。 由于缺乏监管，市场上的P2P平台参差不齐，截止2015年12月，问题平台数量达到了1289家，占总平台数量近1/3，诈骗、跑路的事件时有发生，而更多的平台由于风...P2P online lending industry has developed rapidly in recent years. Platform number and transition volume has increased by several times in each year. Well-known platforms such as HONGLING CAPITAL, LUFAX, RENRENDAI has been well developed in the industry. The operational mode of the platforms is also different. Different platforms expand vigorously with their own characteristic models and split up ...学位：工商管理硕士院系专业：管理学院_工商管理硕士(工商管理硕士)学号：1792011115065

日商簿記検定の合否判別に関する予備的研究 ― 生活習慣および学修習慣のアンケートを用いて ―

The purpose of this pilot study is to investigate the relationship between the lifestyle of the students at International Pacific University and success in the form of passing scores. Data were collected using a questionnaire from the students who took an examination for“ Bookkeeping” held by the Japan Chamber of Commerce and Industry. Sleep duration, having breakfast, learning times and concentration times were used as predictors of performance for passing the test. This study was designed using discriminant analysis to determine if these variables were a good predictor of successfully passing the test. Findings from this study demonstrated that there is a significant positive correlation between sleep duration and concentration times in relation to the student scores on the“ Bookkeeping” test. Discriminant function analysis revealed that the sleep duration, having breakfast, learning times and concentration times can successfully classify those who pass or fail the “Bookkeeping” test with a hit-rate of 84.6%