基于Web的行政审批系统的设计

网络行政审批系统结合实际需求,构建了面向窗口工作人员的内网服务平台,面向系统服务用户的外网平台,面向系统管理员的业务管理、系统管理和数据交换平台,内网办理,内外关联。系统通过应用结构模型、工作流定义和分析、分层结构的设计和确定,来揭示网上审批业务过程的新特征。     

妇产科疾病诊断专家系统的设计与实现

专家系统的设计以面向对象的理论寿基础,详细地分析并设计其静态架构的对象层、结构层和属性层之后给出主题层。最后,给出由静态架构反射出来的用例视图,用于表示系统功能的高层逻辑模型。专家系统在知识库的构造方面以产生或规则描述事件的前项和后项;在推理机的构造上采用混合式推理并应用加权不确定性推理算法对疾病的症状进行推理分析得出结论。     

Longitudinal changes in submaximal oxygen uptake in 11- to 13-year-olds

The aim of this study was to monitor longitudinal changes in young people's submaximal oxygen uptake (VO 2 ) responses during horizontal treadmill running at 8 km h -1 . The 236 participants (118 boys, 118 girls) were aged 11.2 +/- 0.4 years (mean +/- s) at the onset of the study. Submaximal VO 2 , peak VO 2 and anthropometry were recorded annually for three consecutive years. The data were analysed using multi-level regression modelling within a multiplicative, allometric framework. The initial model examined sex, age and maturity-related changes in submaximal VO 2 relative to body mass as the sole anthropometric covariate. Our results demonstrate that the conventional ratio standard ml kg -1 min -1 does not adequately describe the true relationship between body mass and submaximal VO 2 during this period of growth. The effects of maturity and age were non-significant, but girls consumed significantly less VO 2 than boys running at 8 km h -1 . In subsequent models, stature was shown to be a significant explanatory variable, but this effect became non-significant when the sum of two skinfolds was added. Thus, within this population, submaximal VO 2 responses were explained predominantly by changes in body mass and skinfold thicknesses, with no additional maturity-related increments. When differences in body mass and skinfolds were controlled for, there was still a difference between the sexes in submaximal VO 2 , with girls becoming increasingly more economical with age.     

UML在高校教材管理系统建模中的应用

UML是一种定义良好、易于表达、功能强大的统一建模语言,是面向对象建模领域的工业标准。以高校教材管理系统为研究对象,在分析了该系统需求的基础上,以Rose为建模工具构建了系统的用例模型、静态模型、动态模型和部署模型,对面向对象系统的分析和设计有一定的指导作用。     

基于因特网的个性化信息服务研究

个性化信息服务 ,是针对不同用户采用不同服务策略和方式提供不同信息内容的服务。它具有以用户为中心、对用户需求进行挖掘、灵活多样和主动将信息推送给用户的特点。其类型有 :个性化内容定制服务 ;个性化信息检索定制服务 ;个性化界面定制服务。用户个性化需求可通过用户访问记录挖掘、Bookmark和Agent获取。个性化信息服务模型 ,可采用信息A gent自主学习法、信息过滤法、基于多Multi AgentSystem的合作法等方法构建。参考文献 14。     

Smart city model based on systems theory

While there are several partial solutions to model some aspects of cities (e.g. transportation or energy), there is no framework allowing modelling of a complex system such as a city. This paper aims on providing a solution that can be used by practitioners to model impact of different scenarios and smart city projects encapsulating different subsystems, such as transportation, energetics or, for example, eGovernment. The term “smart cities” is classified into Systems Theory, particularly focusing on Cyber-Physical Systems. This classification is further elaborated to define a new term, so-called Smart City Agent (SCA). The SCA is considered as the main building block for modelling smart cities. The approach within this paper however stresses the interconnection of different systems within a city. Its’ strength is in better exchange of data and among heterogeneous agents. This information management approach is the missing key in the growing market of partial smart city solutions as it will allow simulation of solutions in complex systems such as a city. The suitability of usefulness of the proposed approach is demonstrated on a use case dealing with charging of electrical vehicles. The results show that the approach is suitable for modelling of dynamic behaviour.     

Leveraging Deep Learning and SNA approaches for Smart City Policing in the Developing World

Is it possible to identify crime suspects by their mobile phone call records? Can the spatial-temporal movements of individuals linked to convicted criminals help to identify those who facilitate crime? Might we leverage the usage of mobile phones, such as incoming and outgoing call numbers, coordinates, call duration and frequency of calls, in a specific time window on either side of a crime to provide a focus for the location and period under investigation? Might the call data records of convicted criminals' social networks serve to distinguish criminals from non-criminals? To address these questions, we used heterogeneous call data records dataset by tapping into the power of social network analysis and the advancements in graph convolutional networks. In collaboration with the Punjab Police and Punjab Information Technology Board, these techniques were useful in identifying convicted individuals. The approaches employed are useful in identifying crime suspects and facilitators to support smart policing in the fight against the country's increasing crime rates. Last but not least, the applied methods are highly desirable to complement high-cost video-based smart city surveillance platforms in developing countries.     

Ontology-driven approach for KPI meta-modelling,selection and reasoning

A key challenge in current Business Analytics (BA) is the selection of suitable indicators for business objectives. This requires the exploration of business data through data-driven approaches, while modelling business strategies together with domain experts in order to represent domain knowledge. In particular, Key Performance Indicators (KPIs) allow human experts to properly model ambiguous enterprise goals by means of quantitative variables with numeric ranges and clear thresholds. Besides business-related domains, the usefulness of KPIs has been shown in multiple domains, such as: Education, Healthcare and Agriculture. However, finding accurate KPIs for a given strategic goal still remains a complex task, specially due to the discrepancy between domain assumptions and data facts. In this regard, the semantic web emerges as a powerful technology for knowledge representation and data modeling through explicit representation formats and standards such as RDF(S) and OWL. By using this technology, the semantic annotation of indicators of business objectives would enrich the strategic model obtained. With this motivation, an ontology-driven approach is proposed to formally conceptualize essential elements of indicators, covering: performance, results, measures, goals and relationships of a given business strategy. In this way, all the data involved in the selection and analysis of KPIs are then integrated and stored in common repositories, hence enabling sophisticated querying and reasoning for semantic validation. The proposed semantic model is evaluated on a real-world case study on water management. A series of data analysis and reasoning tasks are conducted to show how the ontological model is able to detect semantic conflicts in actual correlations of selected indicators.     

基于UML的高校排课系统的分析与设计

运用基于UML的面向对象分析方法,借助于统一建模语言,使用Rational Rose为建模工具,对高校排课系统进行建模设计,利用表示系统静态特征的UML类图、用例图和描述系统动态行为特征的时序图对其进行了详细描述。     

Should students design or interact with models? Using the Bifocal Modelling Framework to investigate model construction in high school science

The Bifocal Modelling Framework (BMF) is an approach for science learning which links students’ physical experimentation with computer modelling in real time, focusing on the comparison of the two media. In this paper, we explore how a Bifocal Modelling implementation supported learning outcomes related to both content and metamodeling knowledge, focusing on the role of designing models. Our study consisted of three conditions implemented with a total of 69 9th grade high-school students. The first and second classes were assigned two implementation modes of BMF: with and without a model design module. The third condition, employed as a control, consisted of a class that received instruction in the school’s traditional approach. Our results indicate that students participating in both BMF implementations demonstrated improved content knowledge and a better understanding of metamodeling. However, only the ‘BMF-with-design’ group improved significantly in both content and metamodeling knowledge. Our qualitative analyses indicate that both BMF groups designed detailed models that included scientific explanations. However only students who engaged in the model design component: (1) completed a detailed model displaying molecular interaction; and (2) developed a critical perspective about models. We discuss the implications of those results for teaching scientific science concepts and metamodeling knowledge.