独立学院物联网专业课程体系研究与实践

越来越多的高校开设了物联网专业。根据物联网专业人才市场需求及岗位能力分析,构建物联网专业的课程体系,该体系由三部分组成,即公共必修模块、学科基础模块和专业必修模块,以培养大量的生产、制造、维护和应用物联网产品的技能型人才为目标,确保学生的各项能力得到全面发展。     

论财务管理目标与核心能力的协同发展

企业财务管理目标是企业发展的重要组成部分,财务管理目标的规范化决定着企业财务核心能力的高端化。以企业财务管理目标不足为切入点,对企业财务核心能力进行分析,重点对财务管理目标与企业财务核心能力的协同发展进行深入研究。     

Some hidden "regularities" in a school mental health program and their relation to intended outcomes.

Investigated contact frequency and duration "regularities" as they relate to program objectives of educational and personal development. Children seen 1, 2, or 3 times/wk by nonprofessional child aides in a school mental health project did not differ significantly either on initial referral status or on outcome measures. Directionally, the 3 times/wk group had more serious initial problems; however, there were no consistent referral differences between the once and twice a week groups. Children seen least frequently improved most directionally. For 3 separate year groups, there were no referral or outcome differences between children who continued in the project and those who terminated; hence, no justification was found for differences in the length of intervention. Findings have implications both for the practices of this specific program and, more generally, for other types of helping interventions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Multi-criteria fuzzy optimization for locating warehouses and distribution centers in a supply chain network

This study considers the planning of a multi-product, multi-period, and multi-echelon supply chain network that consists of several existing plants at fixed places, some warehouses and distribution centers at undetermined locations, and a number of given customer zones. Unsure market demands are taken into account and modeled as a number of discrete scenarios with known probabilities. The supply chain planning model is constructed as a multi-objective mixed-integer linear program (MILP) to satisfy several conflict objectives, such as minimizing the total cost, raising the decision robustness in various product demand scenarios, lifting the local incentives, and reducing the total transport time. For the purpose of creating a compensatory solution among all participants of the supply chain, a two-phase fuzzy decision-making method is presented and, by means of application of it to a numerical example, is proven effective in providing a compromised solution in an uncertain multi-echelon supply chain network.     

浅谈《塑料模具设计》课程教改实践

分析了现行教学中存在的一些问题,提出了课程教学内容、教学方法以及实训环节方面的改革要求。重点介绍了课程目标的设计、教材和教学内容的甄选以及教学和实训手段的运用,以便实现课程教学、市场需求、学生能力密切相连、三体合一的教学目标。     

应用型资产评估与管理专业课程体系研究

资产评估与管理专业是一个源于会计学、集经济管理学与工程机械学为一体的新兴交叉学科,由于资产评估高等教育开设时间较短,其课程体系并不完善。为了培养应用型资产评估人才,对该专业的课程体系做适应社会发展要求的设计是十分必要的。本文主要从评估专业人才社会需求状况出发,结合资产评估行业特点和资产评估专业人才培养目标,针对高职院校开设的资产评估与管理专业的课程体系建设作了初步探索。     

高等职业学校体育教学目标创新研究

本文采用文献资料、逻辑分析法对现有的高职院校体育教学目标进行梳理,展望我国高职院校体育教学目标的发展趋势,从中找到最能反映当前素质教育时代特征的高职院校体育教学目标,创新高职院校体育教学改革。     

求解VRPTW问题的不确定性目标偏好蚁群算法*

通过分析多目标的、有时间窗的车辆路径问题,对各个目标进行多属性不确定性语言评判,结合相关专家的综合意见以及决策者自身对专家意见的偏好,将决策者对目标属性的离散意见转换为对各目标的综合意见;通过定义一种综合排序指标来确定决策者对各目标的偏好权重,依据目标权重和各目标函数的规范化处理值,构建评价有时间窗的车辆路径问题的多目标偏好的综合适应度函数,将多目标问题转换为单目标问题,进而采用最大—最小蚂蚁系统算法对该问题进行求解;最后通过一个算例来说明该算法的有效性。     

弧门主框架及启闭机系统结构布置的多工况多目标优化

针对弧门主框架结构布置（主梁悬臂长度、主框架单位刚度比、弧门半径）及启闭机布置时,考虑工况单一、优化目标单一、及以经验为主而无法实现全局最优的问题,依据现行水工闸门规范,采用多工况多目标整体优化的方法对闸门和启闭机系统结构布置进行整体优化;优化目标为：1)主横梁跨中正弯矩与支座处负弯矩的绝对值相等,并且在正常蓄水位闸门全闭工况、校核水位瞬间开启工况和闸门全部开启三种工况下的最大值达到最小;2)弧门半径达到最小,且不同工况下支臂端处负弯矩绝对值的最大值达到最小;3)液压启闭机的容量最小。根据规范确定以下约束条件：1)主横梁的悬臂长度;2)主框架单位刚度比;3)液压启闭机在弧门启闭全过程中的正常运行条件;4)弧门半径与门高比;5)液压启闭机启门力的允许范围;6)液压启闭机布置构造要求;据此建立求解弧门主框架和启闭机系统结构布置的多工况多目标整体优化模型。工程实例求得弧门主框架及启闭机系统结构布置最优时的优化变量为：无量纲主梁悬臂长度为0.160,主框架单位刚度比为8.69,弧门半径与门高比为1.3,启闭机吊点位置距闸墩侧墙无量纲距离为0.13,全闭时启闭机的拉杆与支臂的夹角为34.6°。研究结果表明：采用多工况多目标整体优化的方法对弧门和启闭机系统结构布置进行整体优化,不仅方法简洁实用,而且使弧门结构控制内力及启闭机容量均大幅减小,实现了该系统安全性与经济性统一的全局最优布置,同时弥补了中美两国现行规范及现有研究成果中不能考虑不同工况且主梁悬臂长度、主框架单位刚度比、弧门半径以及液压启闭机布置均凭经验选取的不足,又为中美规范的进一步修订完善提供了简明方法。     

A gradient-based strategy for the one-layer RTO + MPC controller

In the process industries model predictive controllers (MPC) have the task of controlling the plant ensuring stability and constraints satisfaction, while an economic cost is minimized. Usually the economic objective is optimized by an upper level Real Time Optimizer (RTO) that passes the economically optimal setpoints to the MPC level. The drawback of this structure is the possible inconsistence/unreachability of those setpoints, due to the different models employed by the RTO and the MPC, as well as their different time scales. In this paper an MPC that explicitly integrates the RTO structure into the dynamic control layer is presented. To overcome the complexity of this one-layer formulation a gradient-based approximation is proposed, which provides a low-computational-cost suboptimal solution.