Using a fuzzy approach to support financial analysis in the corporate acquisition process

In the global market place, many companies have had to adapt their strategies to meet significant challenges. A strategy adopted by some companies has been international expansion via acquisitions. The need for expert knowledge to determine an appropriate company to acquire has been complicated by the sheer size of the global market place. The costs associated with this in relation to time and personnel have created the need for a computerised expert system to be developed. This paper endeavours to show how a proposed fuzzy based system can assist in the identification of a company for acquisition. The authors discuss the manipulation of the magnitude of fuzzy membership functions to communicate priorities within the system. The fuzzy system is designed to assist financial experts in identifying a suitable company for acquisition in the corporate acquisition process. This includes the deliberate weighting of certain inputs and results above others in the decision-making process. The system attempts to learn and simulate the human precedence given to particular financial statistics in company analysis. The system uses the magnitude of the fuzzy membership functions to reflect the human precedence given to each financial ratio. This enables a particular company's strengths and weakness to be considered while concurrently considering their significance and relevance to the acquiring organisation. The system will enable a larger number of companies to be analysed in a more time and cost-effective manner. The development of this system is intended to illustrate that a fuzzy system can aid the financial experts of an acquiring organisation in the global acquisition process.     

协和飞机起飞失败速度计算的程序设计研究

为协和飞机的坠毁事故是由于当时没有选择中断起飞而造成的最差决策,损失最大且没有救援的可能。如果当时选择中断起飞决策,其安全裕度会提高,结果可能会好一些。为了说明这个问题,设计了计算程序,分别计算冲出跑道的速度、距离和逃生时间。安全时间是火灾发生后的判断关键,时间与速度,构成了这次事故的裕度。从计算结果可以看出,安全裕度较大。用于逃生的90秒规则,具有很高的安全限制,它高于中断起飞的决断速度规定。程序计算结果说明选择中断起飞,损失可以减少,生存率可以提高。该分析方法为处理危机时刻的两难决策问题提供了理论指导。     

故障树转化为二元决策树的算法研究

故障树分析法在实施过程中会遇到计算量大的问题,二元决策图是解决这个问题的一种新途径。故障树转化为二元决策图涉及的一个关键问题就是对基本事件的排序,但是基本事件排序是一个NP问题。为了解决这个问题提出了一个将故障树转化为二元决策图的启发式算法,此算法既避免了基本事件排序这个难题,同时又充分考虑了故障树的具体结构,使得到的二元决策图尽量的简单。     

Virtual sensors design for active fault tolerant control system applied to a winding machine

This paper presents a method for designing a virtual sensor in the case of Fault Tolerant Control. The whole approach, described in the paper, is applied to a winding machine. The process is modelled by a Linear Time Varying (LTV) model. The control of the web tension is based on the estimated or virtual measurements as feedback variables. The main contribution concerns the design of an accurate bank of observers able to both isolate and estimate sensor faults while preserving the system’s integrity in terms of structure and performances. The objective of Active Fault Tolerant Control System, is to maintain current performances close to desirable ones and preserve stability conditions when faults occur. The presented method allows one to isolate and to estimate sensor faults. The effectiveness and performances of the strategy are illustrated on the winding machine in the case of a complete loss of sensor.     

PBD系统的模块选择算法研究

随着集成电路复杂度的提高以及产品投放市场的周期要求越来越短,传统的集成电路设计方法不再满足要求。因此需要开发基于硬件平台的系统,此系统通过可逻辑编程以及结构重组可以完成同一领域的一系列操作。同一领域的各个功能存在共性,可以通过研究这一领域的功能的共性,找出一些固定模块嵌入在系统中,从而在芯片面积有限的条件下提高芯片的利用率。这些模块的数量可能非常多,并且功能之间可能还有重复,因此模块选择问题成为设计者关注的焦点。直接求解此优化问题非常困难,需借助图论这一有利的数学工具解决此问题。但此问题是NP完备的,因此提出了针对两种特殊情况的算法,并分析了求解一般问题的一启发式算法,此算法的计算复杂性为O(N2s×k)。     

Perspectives and relationships in Supply Chain Simulation: A systematic literature review

The main purpose of this article is to develop a meta-analysis about the relationships and potential perspectives of modeling and simulation in supply chains. The research methodology used in this paper was a systematic literature review, exploring the state of the art in Supply Chain Simulation. The methodological procedures were based on a systematic literature review and statistical analysis of a sample of papers. The results indicated that modeling and simulation in supply chains can be better integrated. The models could be more sophisticated to capture the dynamics and behavior of these networks. The combination of optimization methods with agent-based simulation is an observed trend. Hybrid simulations involving normative models and empirical applications can be useful to represent the reality of supply chains, generating alternative solutions that improve supply chain performance. The relevance of this article is to analyze the interfaces related to this field of research, in order to establish a theoretical framework that improves the process of modeling, simulation and decision-making in supply chains.     

Theory Building for ICT4D: Systemizing Case Study Research Using Theory Triangulation

The popularity of case study methods in information and communications technology for development research presents challenges in comparing findings across studies for the purpose of theory building. The object of this paper is to describe a qualitative study in which theory triangulation was used to systematically compare multiple cases to develop theory. The concept of development provided the theoretical context for the study. The work of Hall and Midgley was used to provide three rival philosophical positions that give rise to differing approaches to social development. These are: populist, enterprise and statist. The application of these three contrasting perspectives using theory triangulation is demonstrated in the analysis of multiple case studies taken from a community technology center program in Australia. The relative strengths and weaknesses of each approach are identified and used as the rationale for theory development.     

Particle Swarm Optimization for Solving Sine-Gordan Equation

The term ‘optimization’ refers to the process of maximizing the beneficial attributes of a mathematical function or system while minimizing the unfavorable ones. The majority of real-world situations can be modelled as an optimization problem. The complex nature of models restricts traditional optimization techniques to obtain a global optimal solution and paves the path for global optimization methods. Particle Swarm Optimization is a potential global optimization technique that has been widely used to address problems in a variety of fields. The idea of this research is to use exponential basis functions and the particle swarm optimization technique to find a numerical solution for the Sine-Gordan equation, whose numerical solutions show the soliton form and has diverse applications. The implemented optimization technique is employed to determine the involved parameter in the basis functions, which was previously approximated as a random number in the work reported till now in the literature. The obtained results are comparable with the results obtained in the literature. The work is presented in the form of figures and tables and is found encouraging.     

Physical work load in physical education teachers.

The main objective was to measure and quantify exposure to physical work load in physical education teachers. A further aim was to establish the reproducibility of a three-week test-retest interval of self-reported physical load and to evaluate the agreement between registered and self-rated physical load. Thirty teachers, both female and male, volunteered to participate in the study. The physical load on the lower extremities, as well as the back and the cardio-vascular strain was recorded during one working day. The results indicate that the physical work load in this occupational group is considerable due to the load on the lower extremities. The demands of the cardio-vascular system are also relatively high in comparison to other occupational groups. The teachers could assess their activity quite well regarding heavy lifting and time spent sitting.     

高炉红外摄像监测系统的设计与实现

论述了高炉红外摄像监测系统的中上位机各个功能的实现技术.该系统主要由三部分组成,即红外摄像头、下位机和上位机.红外摄像头获取高炉炉腔的实时图像,然后通过视频数据线传输给上位机的视频采集卡并转换为数字视频数据后在上位机显示.系统根据图像的灰度信息得到炉内的温度分布情况,并将这些数据保存到数据库以用于数据分析和问题跟踪.     

Inverse Dyamics of Non-Minimum Phase Systems with Non-Zero Initial Conditions

A method is presented forcomputing the inverse dynamics of a linear non-minimum phasesystem with non-zero initial conditions. The method is also usedto change or correct a trajectory after it is already in motion,and consequently, it will allow for real time control by continuallyupdating the inverse dynamics computation.Frequency domain techniques are used to compute the input functionneeded to produce a desired output trajectory at a particulardegree of freedom. An output profile based on the differencebetween the desired trajectory and either a homogeneous responseor a forced response to a previous forcing function is used tocompute the required input function. The resulting input functionactively damps out initial conditions in the system and makesit track the desired trajectory.The method is applied to a non-collocated single-link flexiblerobot arm. The finite element method using Timoshenko beam theoryis used to discretize the equations of motion. Torque profilesare computed to control the tip displacement for several problems.The first problem is to control the tip to a desired trajectorywhen starting with non-zero initial conditions. The second problemis to change the desired trajectory while the previous desiredtrajectory is already in motion. The third problem is to correctthe trajectory after a disturbance is added to the system. Thefourth problem is to analyze sensitivity to errors in the modeland initial conditions. The last problem is to compare tip responsesfor rigid and flexible link assumptions in the inverse dynamicscomputation.     

微机关系数据库的递归查询接口

为满足大型企业中产品零部件数据管理的需要，解决关系数据库所不能解决的递归查询问题，为微机关系数据库设计并实现了一个递归查询接口，该接口能够计算了Ｄａｔａｌｏｇ逻辑程序，通过允许规划头部包含函数符号，使规则增加了数值计算能力。     

Evaluation of two traffic distribution strategies for adual-network multiprocessor system

The effect of nonuniform traffic patterns is studied based on simulation and analysis when two multistage networks are used in parallel to interconnect processors and memory modules in a shared-memory system. The networks considered are identical copies of buffered multi stage networks. The authors consider the following two strategies to distribute the total traffic between the two networks: distribute the traffic randomly among the networks, and route the nonuniform component of the traffic to one network and the uniform component to the other. To facilitate the implementation of these strategies in a system, a technique to detect nonuniformities in the network traffic at run-time and change the routing strategy dynamically is discussed. The authors compare this technique to an ideal scheme by means of analysis and simulation. The results show that the run-time detection scheme performs very close to the ideal case. The effectiveness of dual networks in tolerating short bursts of nonuniform traffic is also demonstrated     

The MIEL system: Uniform interrogation of structured and weakly-structured imprecise data

We present an information system developed to help assessing the microbiological risk in food. That information system contains experimental results in microbiology, mainly extracted from scientific publications. The increasing amount of the experimental results available and the difficulty to integrate them into a classic relational database schema led us to design a system composed of two distinct subsystems queried through a common interface. The first subsystem is a classic relational database. The second subsystem is a database containing weakly-structured pieces of information expressed in terms of conceptual graphs. The data stored in both bases can be fuzzy ones in order to take into account the specificities of the biological information. The uniform query language used on both relational database and conceptual graph database allows the users to express preferences by using fuzzy sets in their queries. The MIEL system is now operational and used by the microbiologists involved in the Sym’Previus French project.     

制糖用上悬式离心机嵌入式控制器设计

为了提高生产效率、保证产品质量,充分利用制糖生产线上大量使用的人工操作制糖用上悬式离心机,将其改造成全自动离心机,利用单片嵌入式计算机为核心设计了上悬式离心机嵌入式控制器,嵌入式控制器对上悬式离心机按生产工艺自动控制运行,通过LCD显示器和触摸屏构成的中文人机界面显示离心机的工作状态,并可实时修改输入生产工艺参数,设计嵌入式控制器达到了设计目的,可将人工操作制糖用上悬式离心机改造成全自动离心机,在广西、云南、海南三十多家糖厂进行了应用.     

Detection and interactive isolation of faults in steam turbines to support maintenance decisions

The maintenance of steam turbines is expensive, particularly if dismantling is required. A concept for the provision of support for the maintenance engineer in determining steam turbine status in relation to the recommended maintenance interval is presented here. The concept embodies an artificial neural network which is conditioned to recognise patterns known to be related to faults. The faults simulated are not known to be recognized on-line and the concept is in an early stage of development. An example of a Bayesian network structure containing expert knowledge is proposed to be used, in a dialogue with the operator, to isolate the root causes of a number of fault types. The aim is to be well informed about the statue of the turbine in order to take earlier and better informed maintenance actions. The detection procedure has been validated in a simulation environment.     

自组织映射神经网络量化机器人强化学习方法研究

强化学习一词来自于行为心理学，这门学科把行为学习看成反复试验的过程，从而把环境状态映射成相应的动作。在设计智能机器人过程中，如何来实现行为主义的思想，在与环境的交互中学习行为动作？文中把机器人在未知环境中为躲避障碍所采取的动作看作一种行为，采用强化学习方法来实现智能机器人避碰行为学习。为了提高机器人学习速度，在机器人局部路径规划中的状态空量化就显得十分重要。本文采用自组织映射网络的方法来进行空间的量化。由于自组织映射网络本身所具有的自组织特性，使得它在进行空间量化时就能够较好地解决适应性灵活性问题，本文在对状态空间进行自组织量化的基础方法上，采用强化学习。解决了机器人避碰行为的学习问题，取得了满意的学习结果。     

Low power noise immune node voltage comparison keeper design for high speed architectures

The demand for high speed and area minimization has directed the designers towards dynamic CMOS logic design. The domino logic is one of the famous logic in dynamic CMOS logic. The designer needs to compromise the circuit speed and power consumption to reduce the impact of noise in domino logic circuit design. In this work, low power domino logic circuit is proposed to decrease power consumption with improvement in noise immunity. The low power consumption is achieved at the cost small sacrifice in delay. However, the proposed logic circuit has attained better Power Delay Product (PDP) as compared to existing noise tolerant circuits. The experimental simulation results shows the proposed logic exhibit 3.4% power reduction when compared with the low power domino logic circuit [10] for two input OR gates. The proposed logic had a little compromise with delay in the existing logics. However, the Power Delay Product (PDP) of proposed logic circuit has reduced as compared to existing techniques. The proposed logic also provides the better improvement in noise immunity parameters such as UNG and ANTE as compared to the existing logics. The proposed logic circuit based application circuit such as 4:1 multiplexer also provides better improvement in case of power consumption and noise immunity.     

Morphological shared-weight networks with applications to automatictarget recognition

A shared-weight neural network based on mathematical morphology is introduced. The feature extraction process is learned by interaction with the classification process. Feature extraction is performed using gray-scale hit-miss transforms that are independent of gray-level shifts. The morphological shared-weight neural network (MSNN) is applied to automatic target recognition. Two sets of images of outdoor scenes are considered. The first set consists of two subsets of infrared images of tracked vehicles. The goal in this set is to reject the background and to detect tracked vehicles. The second set consists of visible images of cars in a parking lot. The goal in this set is to detect the Chevrolet Blazers with various degrees of occlusion. A training method that is effective in reducing false alarms and a target aim point selection algorithm are introduced. The MSNN is compared to the standard shared-weight neural network. The MSNN trains relatively quickly and exhibits better generalization.     

Predicting algal bloom in the Techi reservoir using Landsat TM data

The application of statistical models in a remote sensing field is an indispensable tool. The main purpose of this study was to develop an empirical model to detect algal blooms phenomenon in the Techi reservoir, Taiwan. We used ratios of logarithm transformed radiance values from Landsat Thematic Mapper (TM) data to establish statistical relationships to dinoflagellate densities. The procedure used a forward selection method to develop multiple linear regression models. The selected independent variables matched the dinoflagellate algal cell densities to build the bloom prediction model. The result showed that the bloom prediction model can predict the algal bloom phenomenon with 74% accuracy in this study. The major limits were the spectral sensitivity and spatial resolution of the scanning device. If we can acquire greater spectral sensitivity and spatial resolution in the remote sensing data, we can attain higher model accuracy.