Evaluating acquisitions in consulting engineering

The strategic management planning process for acquisition decision-making is explored. The steps involved in the process of selecting and implementing an acquisition strategy for a consulting engineering organization are developed and discussed. This is followed by a case-study statistical evaluation of acquisitions within the consulting engineering services industry demonstrating the financial economic characteristics and computations. A worksheet is presented for use in organizing and evaluating a set of distinct characteristics for comparing acquisition candidates     

基于LabVIEW的电容加速度计测试软件设计

阐述了开放式虚拟仪器平台LabVIEW的特点;论述了电容式加速度计的数据采集原理;利用图形化编程语言LabVIEW的虚拟仪器和动态特性,在计算机上构成用户界面动态显示和交互,开发出了一个由计算机控制的数据采集系统,数据采集卡配合虚拟仪器中的LabVIEW编程,就能完成数据采集和计算分析的整个过程。实验证明采用这种方法省...     

红外计算机采集系统及其应用

在由通用红外探头、通用采集卡和计算机组成的硬件平台上,用C#.NET作为软件开发工具研制了一套红外信号采集系统。利用计算机对终端红外探头数据进行了快速采集和高速分析处理.本文主要介绍了设计的主要思路,包括系统功能、硬件结构、编程思路等。     

互质层析SAR最少航过数量估计方法

在层析SAR技术的实际应用中,航过数量通常受高昂成本等因素的限制。互质层析SAR技术通过稀疏分布航过位置、延长基线孔径长度,可以降低所需的航过数量。当采用子空间方法开展互质层析SAR重构处理时,为了获得可靠的层析图,研究最少航过数量估计问题。考虑到子空间方法的重构性能受多个参数的影响,因此航过数量的选择必须综合考虑所有相关参数对重构结果的影响。为此,通过样本特征值分析方式建立子空间方法的可靠性保证条件。根据这个可靠性保证条件,提出了一种估计最少航过数量的方法。与传统的最少航过数量估计方法相比,所提方法的优势在于：同时考虑所有的相关参数,且具有解析的数学描述式。最后,仿真实验证实由所提方法估算的航过数量确实接近最小,且能够保证重构结果可靠。     

Formulating and solving sequential decision analysis models withcontinuous variables

This paper presents a new decision analysis approach for modeling decision problems with continuous decision and/or random variables, and applies the approach to a research and development (R&D) planning problem. The approach allows for compact, natural formulation for classes of decision problems that are less appropriately addressed with standard discrete-variable decision analysis methods. Thus it provides a useful alternative analysis approach for problems that are often addressed in practice using simulation risk analysis methods. An illustrative application is presented to energy system R&D planning. The continuous-variable version of this model more directly represents the structure of the decision than a discrete approximation, and the resulting model can be efficiently solved using standard nonlinear optimization methods     

Earthquake Prediction Learning Using the Least Alarm Method

An approach to organization of a system for automatic earthquake prediction is developed. This approach is not bound to any particular type of data, and all data on seismotectonic processes are displayed using the spatial and space-time fields. The prediction field is learned from the feature fields and the sample of predicted earthquakes. The learning method proposed here is the least alarm method. The results of modeling of earthquake prediction for the regions of Japan and Mediterranean are presented. Modeling implied the analysis of prediction fields reflecting stationary and dynamic properties of the seismic process. The results of modeling demonstrate the efficiency of application of the least alarm method to earthquake prediction.

     

基于智能决策支持系统的雷达组网数据融合

提出将智能决策支持系统,即将专家系统的定性分析与决策支持系统的定量分析结合起来,应用于雷达组网数据融合。对该系统的建模进行了宏观的设计,阐述了系统的功能结构和模型结构,为改进雷达组网数据融合提供了一个相对有效的途径。     

Pulsed frequency-response calculations for a digital control system

A method for digital-computer calculation of the pulsed real frequency-response function of a continuous system is presented. The approach, via the discrete transition matrix, provides programming generality and avoids the algebraic manipulation inherent in the direct transformation approach. An application of the technique is to the design of digital and sampled-data control systems by frequency-domain methods.     

Okumura-Hata传播预测模型的可视化仿真研究

对大尺度传播预测模型的可视化计算问题进行了研究。应用先进仿真技术,通过对图形建模型波涛及的多种资源如算法、参数有结果数据等进行可视化处理,构造出Okumura-Hata传播预测模型的可视化计算环境。与基于传高级程序设计语言（如C、Fortran)的数值预测方法相比,该方法不仅实现了Okumura-Hata模型的图形建模和可视化预测,而且无需算法编程及调试,为蜂窝和陆地移动无线通信径损耗预测提供一个全面的图形化解决方案。     

Conceptual and Implementation Models for the Grid

The Grid is rapidly emerging as the dominant paradigm for wide area distributed application systems. As a result, there is a need for modeling and analyzing the characteristics and requirements of Grid systems and programming models. This work adopts the well-established body of models for distributed computing systems, which are based upon carefully stated assumptions or axioms, as a basis for defining and characterizing Grids and their programming models and systems. The requirements of programming Grid applications and the resulting requirements on the underlying virtual organizations and virtual machines are investigated. The assumptions underlying some of the programming models and systems currently used for Grid applications are identified and their validity in Grid environments is discussed. A more in-depth analysis of two programming systems, the Imperial College E-Science Networked Infrastructure (ICENI) and Accord, using the proposed definitions' structure is presented.     

Performance Analysis for the Expanding Search PN Acquisition Algorithm

An approach is presented for approximating the cumulative probability distribution of the acquisition time of the serial PN search algorithm. The results are applicable to variable as well as fixed dwell time systems. The theory is developed for the case where some a priori information on the PN code epoch is available (reacquisition problem or acquisition of very long codes). The special case of a search over the whole code is also treated. The accuracy of the approximation is demonstrated by comparing with published exact results for the fixed dwell time algorithm.     

一种基于AHP_DEA模型的通信支撑网规划方案

在建立通信支撑网项目的综合评价指标体系的基础上,将层次分析法(AHP)和改进的数据包分析(DEA)方法相结合应用于该方案评价,建立了综合评价模型。该模型改进了通信行业支撑网项目规划中人为设置指标值及简单加权进行综合评价的方法,并可以应用到通信行业的其他规划方案评价中去。最后实证了运用该模型解决通信支撑网建设项目评价问题是切实可行的。     

A methodology for large-scale R&D planning based on clusteranalysis

A decision-support approach to large-scale R&D planning is described. A quantitative model based on three analytical tools, the interaction matrix, hierarchical cluster analysis, and the Boston Consulting Group (GCG) strategic planning matrix, is used. Results of the model are used to determine the number of R&D program areas, the technological focus of each R&D program area, and the relative allocation of resources to the R&D program areas. Traditional optimization techniques for R&D planning often generate solutions without allowing for the judgement, experience, and insight of the decision maker. The decision-support approach presented supports, rather than replaces, the judgement of the R&D planner by using a graphic display of the relative position of technology clusters, and by using an interactive and iterative approach to problem solving. An application to R&D program planning for Virginia's Center for Innovative Technology's Commercial Space program is presented     

Use of hybrid models for testing and debugging control software for electromechanical systems

This paper proposes a hybrid modeling language and its application to a simulator-based testing and debugging environment for the control software for electromechanical systems. The new hybrid modeling language is designed mainly focusing on simulation speed, flexibility in connecting with control software, and model reusability. This language maintains the advantages of existing hybrid modeling languages such as Hybrid cc, including the flexibility of constraint programming and the reusability of the object-oriented approach. A new feature of the language is that it allows combination of compositional constraint programming and sequential procedural programming. The compiled code is executed efficiently by the runtime system, which has a built-in mechanism for communicating with external software, eliminating the complicated setup required for integrating the simulator with the control software. Model components programmed by the object-oriented approach allow designers to use existing components and to concentrate on the task of modeling the newly designed hardware. The runtime system has been integrated with a three-dimensional kinematics simulator and a control software design tool to create a simulator-based testing and debugging environment. The effectiveness of this system has been confirmed through its application to real product design projects.     

Parameterized SPICE model for a phase-change RAM device

A simple form of a SPICE macro model for a generic phase-change random access memory device is presented. The approach is based upon lumped parameter multiple level models. The SPICE implementation is described using a series of increasingly complex modeling blocks for dc to transient analysis. The effect of nonlinear phase switching during the programming cycle is demonstrated in a SPICE simulation and compared to experimental data.     

An approach to real-time control of robots in task space.Application to control of PUMA 560 without VAL-II

An approach to real-time control is presented that involves the adaption of existing (commercial) hardware and the integration of new hardware and software, such that both feedback control and offline programming using either task or joint-space coordinates are possible. The approach is illustrated in detail through the implementation of a controller that replaces the conventional Victor's assembly language (VAL) II-based controller with the PUMA 560 robot. The controller presents an improvement over the system under VAL in a number of ways, in addition to being able to use either task or joint-space information in the most general form. In particular, the hardware and software of the new controller can accommodate novel sensory systems, robot programming languages, and dynamic models for research and evaluation of advanced control methods     

On the optimal safe allocation and scheduling of a work force in atoxic substance environment

An approach using linear programming to model and to solve the problem of safe allocation and scheduling of a manufacturing work force in a toxic substance environment is presented. The firm's objective is to maximize utilization of the work force, without violating any OSHA (US Occupational Safety and Health Administration) standards. The basic assumption is that engineering controls are either not practical or too costly, and that only managerial controls, in this case the reduction of minimization of exposure time, is possible. A variety of operational situation are analyzed to illustrate the use of the modeling approach, the use of a standard user-friendly package, and sample results. The illustrative examples demonstrate the feasibility of modifying standard work scheduling models to include toxic substance control constraints so as to yield optimal safe policies for the given case     

An optimal methodology for synthesis of DSP multichip architectures

An optimization approach to the synthesis of multichip DSP architectures is presented in this paper. This research is important for Industry since it is well known that these early design decisions have a significant impact on the final VLSI implementation. A mathematical programming approach to simultaneously scheduling, partitioning (into multiple chips) and allocating minimum hardware (functional units on each chip) for the DSP application is formulated. Throughput, input/output timing, and latency constraints are supported along with interchip communication delays. By using polyhedral theory, the optimal solution to the integer programming problem can be obtained in fast cpu times. Results show that we can synthesize optimal two-chip, three-chip and four-chip architectures for a realistic Industrial DSP application in reasonable cpu times. This research breaks new ground by simultaneously partitioning, scheduling and allocating multichip DSP architectures with optimal area in fast cpu times.