Aims: This study aims at designing and implementing syllabus-oriented question-bank system that is capable of producing paper-based exams with multiple forms along with answer keys. The developed software tool is nam...Aims: This study aims at designing and implementing syllabus-oriented question-bank system that is capable of producing paper-based exams with multiple forms along with answer keys. The developed software tool is named Χ(Chi)-Pro Milestone and supports four types of questions, namely: Multiple-choice, True/False, Short-Answer and Free-Response Essay questions. The study is motivated by the fact that student number in schools and universities is continuously growing at high, non-linear, and uncontrolled rates. This growth, however, is not accompanied by an equivalent growth of educational resources (mainly: instructors, classrooms, and labs). A direct result of this situation is having relatively large number of students in each classroom. It is observed that providing and using online-examining systems could be intractable and expensive. As an alternative, paper-based exams can be used. One main issue is that manually produced paper-based exams are of low quality because of some human factors such as instability and relatively narrow range of topics [1]. Further, it is observed that instructors usually need to spend a lot of time and energy in composing paper-based exams with multiple forms. Therefore, the use of computers for automatic production of paper-based exams from question banks is becoming more and more important. Methodology: The design and evaluation of X-Pro Milestone are done by considering a basic set of design principles that are based on a list of identified Functional and Non-Functional Requirements. Deriving those requirements is made possible by developing X-Pro Milestone using the Iterative and Incremental model from software engineering domain. Results: We demonstrate that X-Pro Milestone has a number of excellent characteristics compared to the exam-preparation and question banks tools available in market. Some of these characteristics are: ease of use and operation, user-friendly interface and good usability, high security and protection of the question bank-items, high stability, and reliability. Further, X-Pro Milestone makes initiating, maintaining and archiving Question-Banks and produced exams possible. Putting X-Pro Milestone into real use has showed that X-Pro Milestone is easy to be learned and effectively used. We demonstrate that X-Pro Milestone is a cost-effective alternative to online examining systems with more and richer features and with low infrastructure requirements.展开更多
打孔盗油事件不但给国家造成巨大经济损失,还可能危害国家能源安全、生态安全和公共安全,对打孔盗油须防患于未然,以避免危害结果的发生。通过深入分析打孔盗油嫌疑车辆的行为特征,引入多维度增量式DBSCAN算法(increment Density-Based ...打孔盗油事件不但给国家造成巨大经济损失,还可能危害国家能源安全、生态安全和公共安全,对打孔盗油须防患于未然,以避免危害结果的发生。通过深入分析打孔盗油嫌疑车辆的行为特征,引入多维度增量式DBSCAN算法(increment Density-Based Spatial Clustering of Applications with Noise,IncDBSCAN),挖掘公安视频监控车辆抓拍数据中的潜在规律,可有效识别在管道保护区内活动的涉嫌盗油异常车辆。在与传统的支持向量机(Support Vector Machine,SVM)、基于密度带有噪声的空间聚类算法(Density-Based Spatial Clustering of Applications with Noise,DBSCAN)、K均值聚类算法(K-Means Clustering Algorithm,K-Means)的对比试验中,多维度IncDBSCAN模型具有更好的检测效果,其精确率为85%,召回率为82%,F1值为83.4%,均优于其他模型。该方法为输油管道打孔盗油视频智能预警提供了一种新的思路和手段。展开更多
为加快监控系统的响应速度,增强系统的安全防护能力,基于软件定义网络(Software Defined Network,SDN)技术,设计油气田井口远程监控系统,集成数据平面、控制平面、应用平面,构建系统架构、流量管理与故障处理机制。系统性能测试结果表明...为加快监控系统的响应速度,增强系统的安全防护能力,基于软件定义网络(Software Defined Network,SDN)技术,设计油气田井口远程监控系统,集成数据平面、控制平面、应用平面,构建系统架构、流量管理与故障处理机制。系统性能测试结果表明,设计的监控系统在关键性能指标上均优于传统监控系统,能够满足油气田井口的监控需求,提升油气田生产的安全性和管理效率。展开更多
文摘Aims: This study aims at designing and implementing syllabus-oriented question-bank system that is capable of producing paper-based exams with multiple forms along with answer keys. The developed software tool is named Χ(Chi)-Pro Milestone and supports four types of questions, namely: Multiple-choice, True/False, Short-Answer and Free-Response Essay questions. The study is motivated by the fact that student number in schools and universities is continuously growing at high, non-linear, and uncontrolled rates. This growth, however, is not accompanied by an equivalent growth of educational resources (mainly: instructors, classrooms, and labs). A direct result of this situation is having relatively large number of students in each classroom. It is observed that providing and using online-examining systems could be intractable and expensive. As an alternative, paper-based exams can be used. One main issue is that manually produced paper-based exams are of low quality because of some human factors such as instability and relatively narrow range of topics [1]. Further, it is observed that instructors usually need to spend a lot of time and energy in composing paper-based exams with multiple forms. Therefore, the use of computers for automatic production of paper-based exams from question banks is becoming more and more important. Methodology: The design and evaluation of X-Pro Milestone are done by considering a basic set of design principles that are based on a list of identified Functional and Non-Functional Requirements. Deriving those requirements is made possible by developing X-Pro Milestone using the Iterative and Incremental model from software engineering domain. Results: We demonstrate that X-Pro Milestone has a number of excellent characteristics compared to the exam-preparation and question banks tools available in market. Some of these characteristics are: ease of use and operation, user-friendly interface and good usability, high security and protection of the question bank-items, high stability, and reliability. Further, X-Pro Milestone makes initiating, maintaining and archiving Question-Banks and produced exams possible. Putting X-Pro Milestone into real use has showed that X-Pro Milestone is easy to be learned and effectively used. We demonstrate that X-Pro Milestone is a cost-effective alternative to online examining systems with more and richer features and with low infrastructure requirements.
文摘打孔盗油事件不但给国家造成巨大经济损失,还可能危害国家能源安全、生态安全和公共安全,对打孔盗油须防患于未然,以避免危害结果的发生。通过深入分析打孔盗油嫌疑车辆的行为特征,引入多维度增量式DBSCAN算法(increment Density-Based Spatial Clustering of Applications with Noise,IncDBSCAN),挖掘公安视频监控车辆抓拍数据中的潜在规律,可有效识别在管道保护区内活动的涉嫌盗油异常车辆。在与传统的支持向量机(Support Vector Machine,SVM)、基于密度带有噪声的空间聚类算法(Density-Based Spatial Clustering of Applications with Noise,DBSCAN)、K均值聚类算法(K-Means Clustering Algorithm,K-Means)的对比试验中,多维度IncDBSCAN模型具有更好的检测效果,其精确率为85%,召回率为82%,F1值为83.4%,均优于其他模型。该方法为输油管道打孔盗油视频智能预警提供了一种新的思路和手段。
文摘为加快监控系统的响应速度,增强系统的安全防护能力,基于软件定义网络(Software Defined Network,SDN)技术,设计油气田井口远程监控系统,集成数据平面、控制平面、应用平面,构建系统架构、流量管理与故障处理机制。系统性能测试结果表明,设计的监控系统在关键性能指标上均优于传统监控系统,能够满足油气田井口的监控需求,提升油气田生产的安全性和管理效率。
