Optimal distributed decision fusion

The problem of decision fusion in distributed sensor systems is considered. Distributed sensors pass their decisions about the same hypothesis to a fusion center that combines them into a final decision. Assuming that the sensor decisions are independent of each other for each hypothesis, the authors provide a general proof that the optimal decision scheme that maximizes the probability of detection at the fusion for fixed false alarm probability consists of a Neyman-Pearson test (or a randomized N-P test) at the fusion and likelihood-ratio tests at the sensors     

Blind adaptive decision fusion for distributed detection

We consider the problem of decision fusion in a distributed detection system. In this system, each detector makes a binary decision based on its own observation, and then communicates its binary decision to a fusion center. The objective of the fusion center is to optimally fuse the local decisions in order to minimize the final error probability. To implement such an optimal fusion center, the performance parameters of each detector (i.e., its probabilities of false alarm and missed detection) as well as the a priori probabilities of the hypotheses must be known. However, in practical applications these statistics may be unknown or may vary with time. We develop a recursive algorithm that approximates these unknown values on-line. We then use these approximations to adapt the fusion center. Our algorithm is based on an explicit analytic relation between the unknown probabilities and the joint probabilities of the local decisions. Under the assumption that the local observations are conditionally independent, the estimates given by our algorithm are shown to be asymptotically unbiased and converge to their true values at the rate of O(1/k/sup 1/2/) in the rms error sense, where k is the number of iterations. Simulation results indicate that our algorithm is substantially more reliable than two existing (asymptotically biased) algorithms, and performs at least as well as those algorithms when they work.     

Optimum local decision space partitioning for distributed detection

A distributed detection system is considered that consists of a number of independent local detectors and a fusion center. The decision statistics and performance characteristics (i.e. the false alarm probabilities and detection probabilities) of the local detectors are assumed as given. Communication is assumed only between each local detector and the fusion center and is one-way from the former to the latter. The fusion center receives decisions from the local detectors and combines them for a global decision. Instead of a one-bit hard decision, the authors propose that each local detector provides the fusion center with multiple-bit decision value which represents its decision and, conceptually, its degree of confidence on that decision. Generating a multiple-bit local decision entails a subpartitioning of the local decision space the optimization of which is studied. It is shown that the proposed system significantly outperforms one in which each local detector provides only a hard decision. Based on optimum subpartitioning of local decision space, the detection performance is shown to increase monotonically with the number of partitions     

Optimal multiple level decision fusion with distributed sensors

A data fusion model consisting of several levels of parallel decision fusions is considered. Global optimization of such a model is discussed to obtain the fusion rules for overall optimal performance. The reliability analysis of the proposed model is carried out to establish its superiority over the existing parallel and serial fusion models     

刍议环境投资决策的基本方法

环境管理会计是将环境因素引入管理会计体系的正在形成之中的新兴管理会计学分支.在环境因素逐渐成为影响企业活动的重要因素的背景下,环境管理会计以其适应企业现实的经营状况等优势,日渐受到企业的重视,同时其理论的发展也在不断的完善之中.环境投资决策就是将环境因素引进管理会计之中,在管理会计进行各种决策分析时,通过确认,计量各种由于环境因素所造成的收益与成本,并将其纳入到管理会计分析的模型之中.其中着重介绍了环境投资决策的基本方法,并举实例对环境项目的决策进行分析.     

Fuzzy logic rule as a method for making a design decision in rocketry development

The paper provides a method for multi-criteria selection of the optimal structural layout option based on a fuzzy logic inference that allows for uncertainties in engineering and operates with heterogeneous information of the qualitative and quantitative nature for the systems being designed.     

Stable two-sided matching of slot allocation in airport collaborative decision making by top trading cycles mechanism

The problem of capacity shortage in some airports needs to be dealt with sustainable solutions including a more efficient use of the existing runway slots at the airports. The Collaborative Decision Making (CDM) is an important approach applied to Air Traffic Management (ATM) to achieve this efficient use of the slots allocation. Using the Matching approach for two-sided markets of Game theory, the Top Trading Cycle CDM (TTC-CDM) algorithm developed in this research is an extension of the CDM approach aggregating the Ground Delay Program (GDP) of the air sector. The paper compared the developed TTC-CDM model to the existing models such as the conventional Compression algorithm in CDM, the Trade Cycle algorithm and the Deferred Acceptance CDM (DA-CDM) model to evaluate the performance of the proposed model. Through a case study, the results show the effective application of TTC-CDM model to slot allocation in ATM and also presents the advantage of considering the preferences of airport managers beside ATC controllers and airlines in the decision processing.     

Designing a parallel, distributed test system

The increasing use of parallel architectures and networking technologies has enabled test systems to break free from their traditional structure. Today's systems run multiple parallel tasks, distribute testing among many computers, and publish live data through the Internet to achieve faster performance, better reliability, and increased connectivity with enterprise-wide systems. Specifically, software technologies and techniques will be examined for developing and running parallel, distributed automated tests and distributing test data between applications or across the Internet. If used correctly, the result of these techniques is a higher performance, more robust test system. In addition, we will examine technologies that make creating these parallel, distributed systems possible for not only the advanced test program developer, but also the novice user     

高精度展开锁定机构数字化装调技术研究

通过对展开锁定机构的轴系同轴度进行合理分解,得到三轴系之间的同轴度为0.073mm,同时展开重复精度提高了35%。设计合理的装配固定装置作为重复装配的基准,控制产品与装置之间间隙在0.02mm以内,提高装配效率和精度。通过选用合适部位作为测试基准,将参数进行量化处理,保证在重复拆装过程中轴系位置误差在0.015mm以内。     

Image processing, a new diagnostic tool

The San Antonio Air Logistics Center (SA-ALC) Automatic Test Systems Division's Advanced Diagnostics and Technology Insertion Center (ADTIC) is exploring the addition of a non-intrusive diagnostics capability to existing Automatic Test Systems (ATS) utilizing various sensor technologies. The diagnostic techniques under development are expected to allow for more efficient fault detection and isolation than traditional ATS. This paper summarizes findings to date and discusses the integration of these technologies should they prove viable     

某型直升机传动轴装配同轴度校验方法研究

针对某型直升机制造与修理过程存在的技术状态差异,对某型直升机制造与修理过程中进行传动轴同轴度校验方法进行了对比分析,并基于某型直升机在使用过程中机身结构及各安装基准的技术状态所发生的变化,提出了提高传动轴同轴度装配质量的校验改进方法。     

Local node selection for localization in a distributed sensor network

This paper discusses a new localized resource manager for a wireless sensor network of bearings-only sensors. Specifically, each node uses knowledge of the target under surveillance to determine whether it should actively collect measurements and how far to disseminate the data in order for the sensor network to maintain track of the target. At each node, the resource manager requires only knowledge of the relative location to the target for itself and the active nodes from the previous snapshot. The decentralized strategy represents a modification to the global node selection (GNS) method that exploits knowledge of the location of all nodes in the network. Simulations show that despite the lack of global network knowledge, the new localized management method is almost as effective as GNS in terms of balancing the tradeoff between energy usage and localization accuracy.     

Global node selection for localization in a distributed sensor network

This work considers the problem of selecting the best nodes for localizing (in the mean squared (MS) position error sense) a target in a distributed wireless sensor network. Each node consists of an array of sensors that are able to estimate the direction of arrival (DOA) to a target. Different computationally efficient node selection approaches that use global network knowledge are introduced. Performance bounds based on the node/target geometry are derived, and these bounds help to determine the necessary communication reach of the active nodes. The resulting geolocation performance and energy usage, based on communication distance, is evaluated for a decentralized extended Kalman filter (EKF) that is exploiting the different selection approaches.     

公共设施投资的决策模型探讨

公共设施投资的成本与产生的社会福利如何比较，社会效益的提高有多大等等一系列基本问题为政府所关心。这一问题的解决需要通过结合公共经济学的原理与近几年出现的一些新观点做出系统的可行性分析模型加以解决。本文就是基于公共经济学的理论并结合了笔者的一些新的观点所作的常识性的探索。     

STEP: a tool for estimating avionics life cycle costs

An overview is presented of how the US Air Force has had significant success in the estimation of life cycle costs (LCC) for avionics hardware and software using the Standardization Evaluation Program (STEP) model for estimating operating and support (O&S) costs. The capabilities of the existing STEP model as well as ongoing enhancements to provide a total LCC estimating methodology are described. In addition to the standard cost reports, STEP has the capability to assess the impact of reliability on life cycle cost. Another unique feature of the STEP model is the capability to assess the impact of retest OK (RTOK) on life cycle costs. The acquisition enhancement is being accomplished in three parts each of which will produce a distinct, usable product. The three products are an automated database, an analogy estimating capability, and a parametric estimating technique. Each is briefly discussed     

FINDER, a system providing complex decision support for commercialtransport replanning operations

Decision-aid systems, likely to appear in future aircraft generations, could play a central role in the cockpit thanks to the broad spectrum of functionalities and decision support facilities they will offer to the crew. As part of such systems, the exploratory FINDER mock-up is a knowledge-based system (KBS) designed to help crew members continually optimize their flight plan by suggesting solutions considering exhaustive information related to flight context, either on pilot request or upon external information occurrence. The successful evaluation by AIR FRANCE pilots of that first mock-up dedicated to diversion procedure on pilot request has led to the current development of an enhanced system with nominal Enroute operations and real-time capabilities. Nominal Enroute operations concern the optimization with respect to an evolutive constraining or favouring environment (due to weather, traffic or regulated areas, ETOPS constraints). This study paves the way for a future Flight Assistant System concept which is already under investigation and may take place in SEXTANT Avionique's future development steps     

Study of shaping strategies for blisk vane channels by a cup tool

This paper deals with roughing milling of vane channels for axial blisks by a cup tool. The effect of the shaping strategy on waviness of the surfaces being machined and allowance for subsequent operations is determined.     

Optimization of a tool kit for machining by methods of graph theory

Some methods of optimizing a cutting tool kit by the minimum labour content criterion in milling of an article are considered. Their advantages and disadvantages are given.     

Inverse simulation as a tool for flight dynamics research—Principles and applications

The technique of inverse simulation is finding application in many and varied fields. As the name implies this technique is used to calculate the control action required to achieve a specified system response. The field of aircraft flight dynamics is particularly suited to this form of simulation as the question of what control actions must the pilot (or automatic flight control system) take for the aircraft to fly along a particular trajectory (a landing approach, for example) is often asked. This paper looks specifically at the application of inverse simulation in flight dynamics. The aim is not only to give an overview of the various techniques and applications but also to provide guidance to potential users of the technique on several of the physical and numerical features often observed in the results. An extensive review of the methodologies used within the family of inverse simulations is presented followed by a formal treatment of the theoretical development of inverse simulation as an established technique. A case study involving the inverse simulation of a helicopter flying a slalom manoeuvre is presented to demonstrate the application of inverse simulation in a flight dynamics analysis. An important feature of the use of inverse simulation is that it is necessary to define the output response required—in the case of flight dynamics the required flight path has to be modelled. Some of the methods used are documented, and their validity discussed. The paper also gives an insight into the types of problem which can be addressed by inverse simulation by detailing some of the many applications to which it has been put in the past. These include studies of rotorcraft handling qualities, performance and design, and pilot modelling as well as model validation. An important element of this paper is the formal, theoretical analysis of some of the numerical and physical features exhibited by inverse simulation which should aid potential users to interpret their results. The work presented in this paper shows a clear evolution of inverse simulation from its initial days when the mathematical models used were relatively simple into a mature analytical technique able to incorporate state of the art mathematical models and be applied to real flight dynamics problems.     

Functional analysis: a system conceptual design tool [andapplication to ATC system]

Functional analysis is a methodology for analyzing the mission and performance requirements of a system, and translating them into discrete activities or tasks which must be performed by the system. Determination of the system's functionality is the first step in obtaining a conceptual view of a system that is to be designed. The methodology for conducting functional analysis is developed, some of the tools used to support the activity are described, including examples to help solidify the concepts presented