信息技术在企业业务流程再造中的应用研究

信息技术的采用是BPR获得巨大效果的一个关键，信息技术在BPR中最重要和最有价值的应用是作为BPR实施过程中的管理和决策工具，来改变现有的企业业务流程，战少整个功能的环节或活动，以求实现效率、成本、服务等方面的质的飞跃，达到企业业务流程再造的目的。     

我国城镇居民边际消费倾向与利率的关系研究

随着我国经济体制改革的不断深入，央行逐渐加大货币政策调节经济的次数与力度.而利率是最重要的货币政策手段与工具.利率变动会影响居民的收入和消费，从而影响边际消费倾向.探究利息率与我国城镇居民边际消费倾向的关系，发现我国城镇居民的边际消费倾向存在二阶自相关，而利率存在一阶自相关，利率对边际消费倾向的作用存在二期时滞，边际消费倾向对利率几乎没有影响.说明我国的利率政策比较主动，并得出一些政策性建议.     

A fuzzy system for evaluating the risk of change in construction projects

A major source of risk in construction is the potential changes occurring during the project lifetime. Changes in construction projects often result from the uncertainty associated with the imprecise and vague knowledge of much project information at the early stages of projects. IT systems for change management largely focus on managing reactive changes, in which changes are recorded and then propagated to the concerned project members. However, proactive change management is hardly dealt with. Proactive change management requires estimating the likelihood of occurrence of a change event as well as estimating the degree of change impacts on project parameters. A fuzzy system is proposed in this paper to maintain these requirements. The system simulates the relationships between change causes and effects, and is intended to facilitate proactive change management on projects.     

非洲猪瘟疫情下中国猪肉价格波动性研究——基于 ARCH 族和 BVAR 模型

2018 年 8 月开始传入我国的非洲猪瘟疫情对我国的猪肉市场产生了持续性冲击,使得猪肉价格大幅度上涨,突破了历史最高值。选取2000 年 1 月至 2020 年 3 月的月度数据,采用 ARCH 族模型研究了猪肉价格波动的集簇性、高风险高回报性和非对称性;使用贝叶斯VAR 模型、脉冲响应和方差分解研究了玉米价格、城镇居民人均可支配收入、人民币兑美元汇率和猪疫情指数对猪肉价格的影响。得到的结论是猪肉价格条件方差存在波动“成群”现象;猪肉价格存在高风险高回报的特点;“利好消息”比“利空消息”能够带来更大的波动。玉米价格和汇率水平对猪肉价格有较强的正向影响,可支配收入对猪肉价格的正向影响作用较弱,而猪疫情对猪肉价格存在较强的负向影响。对于猪肉价格的波动贡献率从大到小依次是自身、汇率水平、城镇居民可支配收入、玉米价格和猪疫情指数。最后,提出了相应的解决对策。     

小班型研究性教学在数字逻辑课程中的应用

小班型教学是指班级规模较小的教学方式,提倡以人为本、交际互动、自主发展。研究性教学以来自实践的问题为基础,让学生通过发现问题、研究问题和解决问题的学习方法,培养学生的研究意识、研究能力和创新能力。将案例教学法、基于问题解决的学习、基于问题的学习等几种典型的小班型研究性教学方法应用于数字逻辑课程的教学与实验环节中,可以激发学生的学习兴趣,提高学生的研究和创新能力。     

基于分层次教学的财经类院校计算机基础教学改革研究

针对目前高等院校在计算机基础教学中存在的问题,在进行问卷调查的基础上,结合本校学生的实际情况,提出了在财经类院校中对学生进行分层次教学,并结合快慢班模式的教学改革方案。该方案可以根据学生计算机水平的个体差异而进行有针对性的教学,有助于提高高等院校计算机基础教学的质量和学生的计算机应用能力。     

AntP2PR: An ant intelligence inspired routing scheme for Peer-to-Peer networks

Unstructured Peer-to-Peer networks consist of an infrastructure-less overlay on top of another network. Most of them use distributed algorithms for all operations, such as resource discovery or connectivity control. Research has shown that a considerable amount of the generated traffic is due to signaling messages. Furthermore, another challenge when implementing a Peer-to-Peer network is avoiding free riders, i.e. users trying to profit from the network without sharing their resources. In this paper a new approach to routing packets in such networks is presented using ant intelligence. Success messages are used as agents and the biological procedure of pheromone trails is used for forwarding new packets used in resource discovery. These agents carry an amount of pheromone which will be added to a pheromone table representing routes to other peers. This approach enables the network to adjust to the dynamic nature of Peer-to-Peer networks where new nodes connect and disconnect continuously. Peers that are free riding will be ultimately isolated from the rest of the network by limiting the number of messages directed to them. The authors have simulated an unstructured Peer-to-Peer network, such as Gnutella, that uses this method and the results are very promising. The amount of traffic used solely for resource discovery is greatly reduced enabling the users to use more bandwidth for transferring content.     

Appointment scheduling algorithm considering routine and urgent patients

This paper derives a solution approach to solve the outpatient appointment schedule problem for given numbers of routine and urgent patients considering a no-show probability to minimize the weighted sum of average patient wait time, physician idle time and overtime. An exact deterministic service time method is proposed to find the optimal schedule. An exponentially distributed service time property is presented to show that the objective function for routine and urgent patients is not multimodular, and consequently a local search algorithm based on multimodulary does not guarantee global optimality. Thus, a heuristic algorithm based on two kinds of shifting policies (HE-TKS) is developed to solve the appointment schedule, which gives a local optimal solution as an upper bound for the optimal schedule. Numerical experiments are conducted to illustrate how the critical factors affect service efficiency of the clinic in practice. It reveals that lower no-show probability, smaller interval lengths, shorter service times, and more urgent patients will benefit both patients and clinics.     

Stable grasp planning based on minimum force for dexterous hands

Intelligent Service Robotics - The paper investigates a grasp planning method for dexterous hands grasping different objects. It aims at planning the robotic hands’ grasping position and...     

改进的双水平集医学图像分割方法

由于基于简化M_S模型的多相水平集图像分割模型仅仅利用了图像的区域信息,对图像的另一个重要信息(边缘信息)没有有效的利用,同时在分割的过程中需要对水平集函数不断进行重新初始化.为了解决上述模型的不足,本文提出改进的双水平集医学图像分割方法.该方法主要是在基于简化M_S模型的多相水平集图像分割模型的基础上将图像的边界信息项和为避免重新初始化水平集函数的惩罚项加入模型中.实验结果表明,添加了边界信息后的模型能够在边界位置定位更容易,同时改进后的双水平集模型在实现多目标分割时,无需重新初始化水平集函数,减少了计算量,简化了算法实现的复杂度.