多程序点焊控制器的研制

本文主要介绍了多程序点焊控制箱的程序过程以及主控制器及调制器的工作原理，并采用了一种新型的触发电路代替传统的脉冲变压器，具有触发可靠、大功率、高精度、电路简单等特点。     

筒形件正旋隆起及旋压力三维有限元模拟分析

应用有限元软件MSC．Marc，对TC4筒形件热旋正旋成形过程进行三维弹塑性有限元模拟研究，建立起正旋成形的三维有限元计算模型，分析了旋压加工中隆起现象，计算了旋压力，得到了工艺参数对隆起及旋压力的影响关系。该模拟计算对于探索复杂的旋压成形规律具有重要意义。     

辽宁省水能资源开发利用管理现状分析

《辽宁省水能资源开发利用管理条例》自2010年实施以来,辽宁省水能资源开发规划、项目建设管理、安全生产监管、绿色小水电建设、安全生产标准化电站建设的各项规章制度已逐步建立并完善,水能资源管理能力得到显著提升,辽宁省水能资源开发利用管理逐步走上法制化、规范化轨道。本文对此加以介绍。     

江苏省南水北调受水区水资源配置

在对水资源系统进行模拟分析的基础上,结合江苏省南水北调受水区水文水资源、水利工程等特点,构建流域降雨径流模型、水动力学模型、水量调配模型以及水工程调度模型等子模型,对受水区水资源量、供需水量等进行研究。基于所建模型提出水利工程调度方案,对研究区水资源进行合理配置。分别模拟计算分析研究区内农业、工业、生活、生态和船闸用水户在现状与规划工情下不同水平年的供水、需水、缺水情况,制定水资源配置方案。通过现状与规划方案对比可知,南水北调一期工程建成后供水能力提高,缺水量显著降低。95%、75%和50%保证率下,缺水率分别降低10.3%、8.0%和5.2%。研究成果为南水北调东线水利工程调度提供科学依据,对跨流域调水工程的水资源配置与调度具有一定参考意义。     

Marketing Activities to Support ‘Moderately Novel’ Product Innovation: Insights from the Chemical Industry

Scholars often follow a contingency approach to study which marketing activities are suitable for a particular type of product innovation project, thereby making a distinction between incremental and radical innovation only. ‘Moderately novel’ projects, which have intermediate levels of newness, have therefore not been given due attention. This paper focuses on market intelligence generation and the creation of cross‐functional linkages as marketing activities that are important in the context of moderately novel product innovation. In addition, the organizational position of the marketers involved in these activities is dealt with. Based on the analysis of four successful projects in the chemical industry, we argue, firstly, that moderately novel innovation projects have their own particular sets of marketing practices and, secondly, that differences exist between projects aiming at a new market segment and projects in which novelty is not related to market segment but to other market dimensions. These differences are especially salient in early project phases. These findings are pertinent to research on the role of marketers in product innovation, and to the study of organizational ambidexterity.     

ILU预处理Newton-Krylov方法的潮流计算

由于电力系统修正方程组具有高维、稀疏的特点,本文提出将预处理Krylov子空间方法应用于潮流修正方程组的求解,形成预处理Newton-Krylov的潮流计算方法。结合ILU预处理方法,比较了最常用的3类Newton-Krylov方法求解潮流方程的计算效果。通过对 IEEE30、IEEE118、IEEE300 和3个Poland大规模电力系统进行潮流计算,结果表明：3类Newton-Krylov方法是电力系统潮流计算的有效方法,呈现出良好的收敛特性和计算效率。     

Hash key-based image encryption using crossover operator and chaos

This paper proposes a color image encryption scheme using one-time keys based on crossover operator, chaos and the Secure Hash Algorithm(SHA-2). The (SHA-2) is employed to generate a 256-bit hash value from both the plain-image and the secret hash keys to make the key stream change in each encryption process. The SHA-2 value is employed to generate three initial values of the chaotic system. The permutation-diffusion process is based on the crossover operator and XOR operator, respectively. Experimental results and security analysis show that the scheme can achieve good encryption result through only one round encryption process, the key space is large enough to resist against common attacks,so the scheme is reliable to be applied in image encryption and secure communication.     

Fuzzy clustering with learnable cluster-dependent kernels

We propose a new relational clustering approach, called Fuzzy clustering with Learnable Cluster-dependent Kernels (FLeCK), that learns the underlying cluster-dependent dissimilarity measure while seeking compact clusters. The learned dissimilarity is based on a Gaussian kernel function with cluster-dependent parameters. Each cluster’s parameter learned by FLeCK reflects the relative intra-cluster and inter-cluster characteristics. These parameters are learned by optimizing both the intra-cluster and the inter-cluster distances. This optimization is achieved iteratively by dynamically updating the partition and the local kernel. This makes the kernel learning task takes advantages of the available unlabeled data and reciprocally, the categorization task takes advantages of the learned local kernels. Another key advantage of FLeCK is that it is formulated to work on relational data. This makes it applicable to data where objects cannot be represented by vectors or when clusters of similar objects cannot be represented efficiently by a single prototype. Using synthetic and real data sets, we show that FLeCK learns meaningful parameters and outperforms several other algorithms. In particular, we show that when data include clusters with various inter- and intra-cluster distances, learning cluster-dependent parameters is crucial in obtaining a good partition.     

Supervised Multi‐Rejector of Periodic Disturbances for Nonlinear Systems Using Decoupled State Multimodel

In this paper, a multi‐rejector of periodic disturbances is proposed for discrete‐time nonlinear systems represented by a decoupled state multimodel. We report a decoupled state multimodel repetitive‐predictive control based on a supervised algorithm to ensure reference trajectory tracking and periodic disturbances rejection. Partial predictors associated to the local controllers make the best choice of the most valid partial controller that meets the desired closed loop performances. The effectiveness of the supervised multi‐rejector is shown via a simulation example. The obtained results are satisfactory and show a good rejection of periodic disturbances and reference trajectory tracking.