Design and development of dynamic Agri-ontology for IoT interoperability

In recent years, the usage and applications of Internet of Things (IoT) have increased exponentially. IoT connects multiple heterogeneous devices like sensors, micro controllers, actuators, smart devices like mobiles, watches, etc. IoT contributes the data produced in the context of data collection, including the domains like military, agriculture, healthcare, etc. The diversity of possible applications at the intersection of the IoT and the web semantics has prompted many research teams to work at the interface between these two disciplines. This makes it possible to collect data and control various objects in transparent way. The challenge lies in the use of this data. Ontologies address this challenge to meet specific data needs in the IoT field. This paper presents the implementation of a dynamic agriculture ontology-building tool that parses the ontology files to extract full data and update it based on the user needs. The technology is used to create the angular library for parsing the OWL files. The proposed ontology framework would accept user-defined ontologies and provide an interface for an online updating of the owl files to ensure the interoperability in the agriculture IoT.     

Personalized Cancer Immunotherapy via Transporting Endogenous Tumor Antigens to Lymph Nodes Mediated by Nano Fe3O4

While immunotherapy has a tremendous clinical potential to combat cancer, immune responses generated by conventional cancer immunotherapy remain not enough to completely eliminate tumors, mainly due to the tumor's immunosuppressive microenvironment and heterogeneity of tumor immunogenicity. To improve antitumor immune responses and realize personalized immunotherapy, in this report, endogenous tumor antigens (ETAs) that dynamically present on tumor cells are transported to lymph nodes (LNs). Based on the hypothesis that nano Fe₃O₄ (≈10 nm) could serve as the nanocarrier for transporting ETAs from the tumor to LNs, we wondrously find that Fe₃O₄ has a tremendous potential to improve cancer immunotherapy, because of its excellent protein‐captured efficiency and LNs‐targeted ability. To ensure the optimal ETAs‐bound efficiency of Fe₃O₄, a core–shell formulation (denoted as Ce6/Fe₃O₄‐L) is developed and specific release of Fe₃O₄ in tumor is enabled. These findings provide a simple and general strategy for boosting cytotoxic T‐cell response and realizing personalized cancer immunotherapy simultaneously.     

基于本体的组合预测预警系统模型

在分析现有预测预警系统不足的基础上,提出一种基于本体的组合预测预警模型(OCFWSM),解决组合预测预警系统内各单一预测模型和指标体系间的语义异构问题,通过建立本体知识库,实现系统内数据、模型、知识的一致化表示,实现各模型和指标体系间的知识共享和重用.具体分析了本体知识库的组成及其实现原理和方法,根据本体建模理论,建立...     

作业评价系统的研究与设计

作业评价作为课程评价的一个重要方面,反映了学生在学习过程中的发展情况.本文在分析过程性评价、多元化评价以及个性化反馈理念的基础上,设计了基于Web的作业评价与反馈系统.将作业展示在学习平台中,通过自评、互评、教评层层递进的形式对学习过程进行多元化的全面评价,针对互动评价过程进行个性化反馈和指导,引导学生自我反思,调动学生积极性,促进学生全面发展.     

基于反射的语义构件描述模型

针对构件语义描述不丰富、构件的扩展性和适应性较差的问题,提出一种基于反射的语义构件模型。该模型在传统构件模型的基础上,引入本体及反射技术,使得构件语义描述丰富,并能根据系统要求及运行环境的变化,对构件进行动态修改。同时,该模型支持自动组装和推理。通过移动应用场景对该模型进行验证,结果表明,该模型的自适应性得到较高提升。     

改进的领域本体概念相似度计算方法

在领域本体中,概念间往往存在多条路径,现有的基于语义距离的方法只考虑最短距离的路径,不能完全体现出概念间的相似度。基于此,提出一种基于加权语义距离的概念相似度计算方法。该方法搜索出两概念间的所有路径,以所有路径的加权平均距离代替最短距离来计算相似度,并综合考虑节点深度、公共父节点对相似度的影响。实验表明,该方法计算出的概念相似度能够更准确地体现出概念间的相似程度。     

基于数据场的大规模本体映射

针对已有的本体映射方法在处理大规模本体映射任务时效率和有效性较低的问题,文中提出了一个基于数据场的本体映射算法.该算法首先使用高效的相似度算法,建立本体中元素对另一本体的初始相关度;然后,利用数据场势函数引入周围本体元素对当前元素的影响,修正初始相关度,并最终确定本体间的相关子本体;最后,利用针对性的方法对上述相关子本体进行更有效的映射.实验结果表明,该算法可以在提高映射结果质量的同时保证较高的映射效率.     

Guiding students to the right questions: adaptive navigation support in an E‐Learning system for Java programming

Rapid growth of the volume of interactive questions available to the students of modern E‐Learning courses placed the problem of personalized guidance on the agenda of E‐Learning researchers. Without proper guidance, students frequently select too simple or too complicated problems and ended either bored or discouraged. This paper explores a specific personalized guidance technology known as adaptive navigation support. We developed JavaGuide, a system, which guides students to appropriate questions in a Java programming course, and investigated the effect of personalized guidance a three‐semester long classroom study. The results of this study confirm the educational and motivational effects of adaptive navigation support.     

基于本体的Web挖掘在个性化E-learning系统中的应用

针对当前e-learning系统中存在着资源利用效率低和学习内容单一、个性化不足等问题,设计一个基于本体的web挖掘的个性化e-learning系统,通过应用web挖掘和本体技术,使得该系统能根据学习者的知识结构、学习目标、学习风格、偏好等特征信息提供适应学习者的教学方法和学习资源,营造个性化的网络学习环境。实验表明本体技术能明显改善挖掘效果,提高学习资源库的管理效率,有效促进学生的网络学习,满足学生个性化学习的需求,为系统的决策分析提供了智能的辅助手段。