PowerBuilder中活动报表的实现

:针对使用PowerBuilder定制的固定报表用户不能自由调整的情况 ,探讨实现活动报表打印的思路和方法。这种活动报表可以由用户自由调整 ,包括位置、字体、增减对象等。     

Visual FoxPro中实现报表双面打印

在Visual FoxPro中,用户大都使用系统提供的“报表设计器”来设计报表。在设计状态,用户可以通过“页面设置”和在报表中移动报表控件来调整报表的页边距。考虑到装订线的位置和页面的对称性(即对称页边距),用户在实现双面打印时通常是为同一种报表设计2个报表文件,分别用于打印奇数页(正面)和偶数页(反面),无形之中增加了用户的工作量。下面介绍一种采用一个报表文件实现双面打印的实现方法。     

基于Delphi的柔性套打构件的设计与实现

解决目前报表套打软件中存在的问题,以柔性软件思想为指导,设计和实现了具有面向高级用户和开发人员的柔性套打构件,实现了MIS中套打部分的核心功能,集成方便.通过集成该构件,MIS可为用户提供套打格式设计、输入界面设计、数据处理、打印位置调整和报表套打等功能.该构件功运,效果较好.     

基于Access制作报表的应用

有大量数据需要在统一规格位置纸张上成批打印,使用报表比较方便,利用Access软件可制作报表,通过以学校打印学生毕业证为例介绍了Access制作报表的方法和使用。     

利用Delphi中Servers组件结合Word模板实现某些特殊功能的打印需求(一)

一、引言 在实际工作中,用户常常会提出某些特殊打印需求,比如各种证件、证明文件以及带有统计功能的数据库报表等等。 本篇我将介绍这类报表之一——证明文件的制作过程,如图1所示。它具有如下一些特点: 1.文档数据特点。文档中大部分字符是固定不变的,只     

MIS系统中实现报表的用户定制

一、前言 在开发企业MIS系统中,经常会使用报表,而这些报表的格式是根据客户已有的公文或报表来制定的,系统一旦交付正式使用,通常并不希望用户再作更改。但往往会出现这种情况,报表的内容条款针对不同的客户时可能会不一样,或者一段时期后会作某些改动。所以用户希望系统允许一些报表的内容和格式不固定,这样用户可以针对不同情况自己动手修改报表的内容或者格式,而又避免开发者对系统重新修改。例如银行的一些合同在一定时间内可能需要调整某些条款内容,就需要系统打印的报表也作相应的改动,为了避     

第五讲 Microsoft Access95表单与报表

在Access95关系数据库中，表单是构造用户输入输出界面的基本对象。使用表单对象构造的输入界面，可以方便、快捷地输入数据并且控制数据的输入模式；使用表单对象构造的输出界面，可以按照用户的需要输出数据。表单还可以用来构造应用系统的控制驱动界面，用以将整个应用系统中的对象组织起来，从而形成统一完整的应用系统。报表是构造书面报告的基本对象。使用报表对象可以直观快速地构造各种报表格式，满足用户的打印需求。在传统的数据库开发中，数据的打印功能是通过复杂繁琐的编程实现的。Access95的报表对象允许用户不用编程即可构…     

基于Delphi的柔性套打构件的设计与实现

针对目前报表套打软件存在的问题，设计和实现了具有面向高级用户和开发人员的柔性的套打构件。实现了MIS中套打部分的核心功能，集成方便。通过集成该构件，MIS可为用户提供套打格式设计、输入界面设计、数据处理、打印位置调整和报表套打等功能。目前该构件已成功运用于笔者开发的系统中，效果较好。     

AJAX在报表数据传输中的应用

Ajax（Asynchronous JavaScript and XML）是结合了Java技术、XML以及JavaScript等编程技术。Ajax是使用客户端脚本与Web服务器交换数据的Web应用开发方法。使用Ajax,用户可以创建接近本地桌面应用的直接、高可用、更丰富、更动态的Web用户界面。本文的侧重点在于如何利用AJAX技术及其框架来解决Web程序中报表打印的问题。     

Delphi中数据库与Excel数据交互技术

Excel具有强大的数据排版输入打印等功能,十分方便,但在数据处理上不能与一些专业的数据库软件相比,使用Delphi编写的数据软件具有强大的数据处理功能,但它的报表排版、输出及打印又不是很方便.为解决这两者之间的矛盾,本文就Delphi中数据库与Excel数据交互技术作了一点探讨,实现了Delphi中数据库与Excel数据交互利用,方便了数据的管理与报表的输出打印.     

Preview control of web position in roll-to-roll printing using alignment patterns

In printed electronics systems, the roll-to-roll process is a next-generation process technology that may be applied to the production of various electronic products such as flexible electronic devices, solar cells, and display panels. The process allows for production at low unit cost and high speed. As a factor for improving the print quality, there are ink viscosity, printing speed, printing pressure, and alignment precision. Among these factors, alignment precision, a critical factor in the performance of an electronic circuit, is the accurate alignment of layers in a multi-layered structure. In our previous study, we suggested a measurement method for improving the alignment precision by using an optical pre-measuring device and an alignment pattern that is printed by roll-to-roll printing process. In the measuring system, when a web is transported in the web feed direction, the optical pre-measuring device measures the quantity of light reflected by the alignment pattern. A lateral position can be aligned accurately based on the measured signal. However, because the position is measured in advance in the web feed direction, it is not applicable to a real-time printing system, and when the lateral position is measured using the optical pre-measuring device, a lateral position error, that is generated by disturbances induced by tension acting on the web and the vibration of the motor, can be estimated. A motor driven linear translation stage for lateral direction is used to minimize the lateral position errors in roll-to-roll systems. In this paper, we propose a preview control system to reflect the measured lateral position error to the printing result at the appropriate time for improving the alignment precision in roll-to-roll printing. As a control method, using roll-to-roll model, the system of disturbance, lateral angle and lateral position can be expressed as a state-space equation. Based on this equation, a preview controller to find the optimal value of state and control error is designed in a similar method to the conventional preview control method used for the active suspension system of a vehicle. Then, the alignment results are verified using another optical measuring device of a web transport system.

     

A study of roll‐printing technology for TFT‐LCD fabrication

Abstract— Recently, potential breakthrough technologies for low‐cost processing of TFT‐LCDs and new process developments for flexible‐display fabrication have been widely studied. A roll‐printing process using etch‐resist material as a replacement for photolithographic patterning was investigated. The characterization of the properties of patterns formed in roll printing, a method to fabricate cliché plates for fine patterns, and the design of a new formulation for resist printing ink is reported. The pattern position accuracy, which is one of the most important issues for the successful application of printing processes in display manufacturing was studied and how it can be improved by optimizing the blanket roll structure is explained. New design rules for the layout of the thin‐film‐transistor array was derived to improve the compatibility of roll printing. As a result, a prototype 15‐in.‐XGA TFT‐LCD panel was fabricated by using printing processes to replace all the photolithographic patterning steps conventionally used.     

基于薄膜压力传感器的矫形鞋垫个性化定制方法

矫形鞋垫对治疗足部疾病和足部引起的生物力疾病有显著的疗效。借助3D打印技术,矫形鞋垫能够高效、便捷地被制造出来。鞋垫加厚厚度的变化对患者足底疼痛点位置、足底局部集中力影响很大,严重影响矫正效果,鉴于适合患者行走的3D打印矫形鞋垫的设计模型需要有其足底的几何模型和受力数据,但是现有的模型参数设定大多依赖于医生的经验来量化其大小,为此本文提出了通过穿戴足底压力检测装置获取患者的足底压力数据,依据压力中心轨迹的位置与大小计算矫形鞋垫局部加厚厚度,经过个性化定制流程,可以较科学地实现矫正目标。     

Path smoothing and feed rate planning for robotic curved layer additive manufacturing

Robotic curved layer additive manufacturing (a.k.a. multi-axis 3D printing) has been gaining attention recently owing to its simplicity and unique ability of printing complex shapes without using a support structure. However, as the printing path now is no long planar and the nozzle orientation is no longer fixed but changes continuously during printing, even though it could be smooth when defined in the workpiece coordinate system in both position and orientation of the nozzle, due to the inevitable numerical errors, it typically is unsmooth with many sharp-changing undulations when transformed to the coordinate system of the robot arm. As a result, the feed rate of printing has to be set extremely conservatively lest the printer would chatter or vibrate and seriously jeopardize the printing quality. In this paper, first, we present a practical B-spline based smoothing algorithm for removing sharp corners on the printing path while upholding the required cusp-height threshold on the printed surface. Next, for the smoothed printing path, we propose a feed rate scheduling strategy that will try to maximize the variable feed rate while subject to the kinematic constraints of the six joints of the robot arm. Both computer simulations and physical printing experiments are carried out to assess the proposed methodologies and the results give a positive confirmation on their advantages.     

基于SPSS软件的高速高精度多点连续赋码系统研究与应用分析

实现凹印设备大幅面多拼版高速高精度多点二维码连线赋码,并对设备进行调整。通过凹印机与赋码系统集成并进行试机实验,对试机样张上的二维码进行统计,并将统计后的数据在SPSS软件中进行频率与单因素分析。影响赋码偏差的主要影响因素为印刷速度,可通过调节赋码喷头横向位置或调节印刷速度来降低赋码时的横(纵)向偏差;凹印连线赋码设备使赋码点位由12点增至18点,位置偏差有效控制在±0.4 mm范围内;赋码速度提升至约16000大张/小时,有效提高了烟标生产效率。统计分析软件的分析结果表明,烟标多拼版高速高精度多点凹印连线赋码设备具备良好的生产效果,同时为不具备或只能进行拼版数少且质量不稳定的烟标连线赋码生产提供参考。     

Modeling and optimization of stencil printing operations: A comparison study

This paper presents a comparison study for the optimization of stencil printing operations using hybrid intelligence technique and response surface methodology (RSM). An average 60% of soldering defects are attributed to solder paste stencil printing process in surface mount assembly (SMA). The manufacturing costs decrease with increasing first-pass yield in the stencil printing process. This study compares two hybrid intelligence approaches with RSM as methods of solving the stencil printing optimization problem that involves multiple performance characteristics. The optimization process is threefold. A data set obtained from an experimental design following data preprocessing process provides an accurate data source for RSM study and training neural networks to formulate the nonlinear model of the stencil printing process with/without combining multiple performance characteristics into a single desirability value, followed by a genetic algorithm searching the trained neural networks for obtaining the optimal parameter sets. The empirical defect-per-million-opportunities (DPMO) measurements demonstrate that the two hybrid intelligence methods can provide satisfactory performance for stencil printing optimization problem.     

A novel cross directional register modeling and feedforward control in multi-layer roll-to-roll printing

For the adaption of roll-to-roll printing method to the printed electronics, it is mandatory to increase the resolution of register control. Therefore, it is desired to derive a mathematical model for register and to develop a controller to reduce the register error. The cross direction register error was derived considering both the lateral motion of a moving web and the transverse position of a printing roll. And a feedforward control method was proposed to cancel out the disturbance of CD register from upstream span. The proposed controller could be used to improve the performance of the CD register controller in a large area roll-to-roll printing machine. The mathematical modeling and proposed control method were validated by numerical simulations and experimental verifications in various operating conditions using a multi-layer direct gravure printing machine. These results show that the proposed feedforward control scheme greatly improves the control performance of register control in overcoming the upstream disturbances.     

断路器机械磨合试验台测试方法及软件设计

本文介绍了所研制的断路器机械磨合试验台的测试方法和软件设计,以国产多种断路器为研究试验对象,选用工控机、伺服系统、高速数据采集卡和光电开关等硬件,设计了一套断路器寿命自动试验装置.使用Labview软件,采用多进程技术设计了针对不同型号产品自动寻找基准位置、按照指定要求自动完成寿命试验过程、数据库存储查询及打印等多功能的图形用户操作界面(GUI),并进行了安全提示和产品保护设计.对断路器的机械寿命和电寿命提供可靠的评估.     

A wavelet-based multi-dimensional temporal recurrent neural network for stencil printing performance prediction

The solder paste printing (SPP) is a critical procedure in a surface mount technology (SMT) based assembly line, which is one of the major attributes to the defect of the printed circuit boards (PCBs). The quality of SPP is influenced by multiple factors, such as the squeegee speed, pressure, the stencil separation speed, cleaning frequency, and cleaning profile. During printing, the printer environment is dynamically varying due to the physical change of solder paste, which can result in a dynamic variation of the relationships between the printing results and the influential factors. To reduce the printing defects, it is critical to understand such dynamic relationships. This research focuses on determining the printing performance during printing by implementing a wavelet filtering-based temporal recurrent neural network. To reduce the noise factor in the solder paste inspection (SPI) data, this research applies a three-dimensional dual-tree complex wavelet transformation for low-pass noise filtering and signal reconstruction. A recurrent neural network is utilized to model the performance prediction with low noise interference. Both printing sequence and process setting information are considered in the proposed recurrent network model. The proposed approach is validated using practical dataset and compared with other commonly used data mining approaches. The results show that the proposed wavelet-based multi-dimensional temporal recurrent neural network can effectively predict the printing process performance and can be a high potential approach in reducing the defects and controlling cleaning frequency. The proposed model is expected to advance the current research in the application of smart manufacturing in surface mount technology.     

Deep learning-based optimal segmentation of 3D printed product for surface quality improvement and support structure reduction

Large-sized product cannot be printed as one piece by a 3D printer because of the volume limitation of most 3D printers. Some products with the complex structure and high surface quality should also not be printed into one piece to meet requirement of the printing quality. For increasing the surface quality and reducing support structure of 3D printed models, this paper proposes a 3D model segmentation method based on deep learning. Sub-graphs are generated by pre-segmenting 3D triangular mesh models to extract printing features. A data structure is proposed to design training data sets based on the sub-graphs with printing features of the original 3D model including surface quality, support structure and normal curvature. After training a Stacked Auto-encoder using the training set, a 3D model is pre-segmented to build an application set by the sub-graph data structure. The application set is applied by the trained deep-learning system to generate hidden features. An Affinity Propagation clustering method is introduced in combining hidden features and geometric information of the application set to segment a product model into several parts. In the case study, samples of 3D models are segmented by the proposed method, and then printed using a 3D printer for validating the performance.