Review of Terahertz Technology Readiness Assessment and Applications

Technological progress in Terahertz (THz) instrumentation in recent years has produced commercial THz systems with excellent performance, smaller footprint, easier to use operation and more reliable than their homemade laboratory predecessors. Form factor, weight, and data rate are, perhaps, the parameters that have shown the highest improvements in recent years. These parameters also have a major impact on practical application outside the laboratory environment. However, gaps still exists between proof of concepts demonstrated in the laboratory and application requirements in a real environment. The readiness of a technology can be assessed using the Technology Readiness Level (TRL) criterion, which considers nine readiness levels starting from basic concepts at TRL=1 up to full deployment at TRL=9. Applications of THz technology in spectroscopic characterization score high in TRL (7-9) because most of the progress of THz technology has been mainly focused in developing THz instrumentation for spectroscopy. Applications of THz for non-destructive evaluation applications score lower (TRL 5-6) due to higher requirements in terms of performance, especially data rate and form factor in imaging applications. Applications in the medical field have been studied with promising results but they are still in early stages of development, thus, TRL is low (1-4). The progress in THz technology is generating systems with better performance (faster acquisition rates, higher signal-to-noise ratio, bandwidth), broader availability of form factors and configurations, and tighter integration with particular applications. This progress will reduce the gap between the capabilities of the technology and the high-demanding requirements of applications in environments such as quality control and in-line production control in the manufacturing industry.     

导弹武器戒备率评估系统设计与实现

戒备率是导弹武器系统一项重要的战术技术指标,分析评估导弹武器系统的戒备率,可以为导弹武器系统的研制和作战使用提供重要决策依据。为了快速准确地得到导弹武器系统的戒备率,基于C#.NET开发了导弹武器戒备率评估系统,利用安全性和效率较高的数据库技术完成评估信息的管理。系统采用人工神经网络的评估方法,利用混合编程技术完成导弹武器戒备率的评估。该系统可以实现对导弹武器系统戒备率的快速评估,并可以定量分析不同因素对戒备率的影响,对戒备率评估技术的研究具有重要的现实意义。     

Index Policies for Resource Allocation in Wireless Networks

We consider the problem of resource allocation for data transfer between the base station and the users within a cell of a wireless telecommunication network with infinite data queues for each user. The aim is to study the tradeoff between the conflicting objectives of maximizing the system throughput and the quality of service (QoS) to an individual user. Using a policy improvement approach based on Markov decision processes, we develop an intuitive and easy-to-implement index policy. We also demonstrate its superior performance over the existing proportional fair metric algorithm through simulation experiments.     

Dynamic and adaptive access control model

With the development of cloud computing technology, smart city and mobile office and emergence of mobile smart devices, the resources' environment is increasing complex. The traditional access control model has been difficult to meet the diverse access control requirements and the dynamic and adaptive access control policy. A dynamic and adap-tive access control model combining the resource life cycle management based on ABAC was proposed. The model fo-cused on resource life cycle management considering the relevance of the resource life cycle management and access control policy. In this model, the policy can be changed as the resource life cycle states' change, so the applicability has been improved. In addition, the user access behavior history management function was added in this model, which can adapt the environment better by considering history of user access behavior. At last, the model in general and cloud com-puting access control system was implemented and verified.     

A distributed intelligence methodology for railway traffic control

A distributed approach to railway traffic control is described. The approach overcomes the upper bounds imposed on the size of controlled areas by the requirement for real-time processing when centralized methodologies are applied. The control problem is modeled in terms of resource allocation tasks, and the concept of priority is generalized to rule local control decisions. The analysis of a global network's behavior, as derived from the integration of local microdecisions, prefigures a depletion effect which will protect the system from traffic jam collapses. Simulation runs are reported to show the control system's overall operation     

基于大数据的雷达健康管理系统

武器装备全寿命周期管理的需求推动了雷达故障预测与健康管理技术的研究和发展,雷达装备也逐步由原先的预防性维修和事后维修模式向视情维修模式转变。大数据技术和雷达健康管理系统的有机结合,可以有效地整合雷达在役阶段的数据资源,与设计、制造、售后等其他寿命周期阶段串联在一起,真正实现雷达装备的全寿命周期管理。提出一种基于大数据的雷达健康管理系统的网络平台框架,并介绍了雷达健康管理系统的关键技术。     

资源定位服务的分布式生成树模型及算法研究

针对云计算中资源定位索引的瓶颈问题,基于分布式生成树DST提出了一种自适应的资源定位服务DST-RLS模犁以及搜索半径限制的资源定位算法SRL.通过给出代表元选取规则,使代表元均衡分布在DST-RLS模型中,提高了资源定位服务的负载均衡性.SRL算法支持复杂查询和灵活的搜索策略,算法的时间复杂度为常数阶.数学分析和仿真...     

ERP系统在人力资源管理中的应用探究

信息化时代要求企业人力资源管理也实现信息化。笔者结合ERP系统的优势,运用XML技术,开发出一种新型人力资源管理系统,在实际应用中也取得良好效果。本文首先介绍ERP发展历程和工作原理,然后对XML技术结合ERP系统开发出的人力资源管理系统进行简要介绍,并分析其在人力资源管理中的应用,希望能提高人力资源管理的信息化水平。     

Weapons systems analysis,part I: System effectiveness

Often, a weapon system may be approved based on a particular required military capability without due consideration given to other missions which it might or might not be able to perform. This paper puts forward a methodology for the analysis of weapons systems, and examines various criteria and attributes that relate to system effectiveness. Criteria and attributes included are system performance, operational readiness, life cycle costing, design to cost, reliability, availability, maintainability, producibility, operability, capability, adequacy and logistics.     

科技项目管理系统领域框架研究

针对目前科技项目管理系统缺乏全生命周期管理思想以及复用性和扩展性低下等缺陷。文中基于领域分析研究提出了一种科技项目全生命周期管理的领域模型,并对领域核心实体进行POJO松耦合设计,同时利用对象组合技术实现运行时动态灵活组合以满足管理的个性化需求。此外,还采用了自定义标签技术规范页面代码的编写。实际应用表明,框架有效提高了领域系统设计的规范化、复用性和灵活扩展性。     

基于大数据挖掘的GSM-R网络综合监测系统

随着铁路信息化的发展,铁路各业务部门产生了大量的基础数据,这些数据是铁路生产管理和经营决策所需的宝贵的数据资源,也是科研工作所需的重要参考资料。如今,大数据时代正式到来,数据从简单的处理对象开始转变为一种基础性资源,如何更好地进行数据分析和利用大数据挖掘技术为铁路系统服务已经成为研究热点。针对大数据挖掘技术在铁路系统应用进行了前景展望和规划,同时提出了一种基于大数据挖掘的GSM-R网络状态综合检测系统,期望能在利用大数据为铁路信息化建设方面进行更深的探索。     

A nature-inspired firefly algorithm based approach for nanoscale leakage optimal RTL structure

Optimization of leakage power is essential for nanoscale CMOS (nano-CMOS) technology based integrated circuits for numerous reasons, including improving battery life of the system in which they are used as well as enhancing reliability. Leakage optimization at an early stage of the design cycle such as the register-transfer level (RTL) or architectural level provides more degrees of freedom to design engineers and ensures that the design is optimized at higher levels before proceeding to the next and more detailed phases of the design cycle. In this paper, an RTL optimization approach is presented that targets leakage-power optimization while performing simultaneous scheduling, allocation and binding. The optimization approach uses a nature-inspired firefly algorithm so that large digital integrated circuits can be effectively handled without convergence issues. The firefly algorithm optimizes the cost of leakage delay product (LDP) under various resource constraints. As a specific example, gate-oxide leakage is optimized using a 45 nm CMOS dual-oxide based pre-characterized datapath library. Experimental results over various architectural level benchmark integrated circuits show that average leakage optimization of 90% can be obtained. For a comparative perspective, an integer linear programming (ILP) based algorithm is also presented and it is observed that the firefly algorithm is as accurate as ILP while converging much faster. To the best of the authors׳ knowledge, this is the first ever paper that applies firefly based algorithms for RTL optimization.     

集客业务综合运营支撑系统建设

本系统以集客业务全生命周期支撑为核心,以全流程驱动为主线。系统重点实现了基础信息管理、业务流程管理、计费账务管理、资源告警管理、服务质量管理、数据视图管理等功能模块,有效提升了集客业务建设效率、服务质量和管理水平。     

Cognitive Radio and Multi-Dimension Cooperative Communications

The perspective on Cognitive Radio (CR) technology has turned to a network and system framework.To enhance a system's cognitive capability and reduce cognitive costs,cooperative means must be adopted.As physical layer link technologies suffer from a bottleneck in performance improvement,multi-dimension cooperation among different network elements will certainly be a main approach to enabling mobile communication systems.Awareness of context and users' service characteristics is the critical base for intelli...     

舰船装备可靠性工程中的几个重要模型特点分析

可靠性是舰船装备的重要质量特性，是影响装备作战效能及其寿命周期费用的主要因素。对舰船装备可靠性工程中的故障模式影响和危害度分析模型、故障树分析模型、舰队保障库存大纲模型、老虎模型、以可用性为中心的库存模型、以战备完好性为基础的备件配置法模型进行了分析。这些模型在目前舰船装备的可靠性工程中具有重要的地位，对装备的战备完好性和任务成功性则是一个基本的分析评估手段。     

Decision Fusion With Confidence-Based Weight Assignment for Hyperspectral Target Recognition

Conventional hyperspectral image-based automatic target recognition (ATR) systems project high-dimensional reflectance signatures onto a lower dimensional subspace using techniques such as principal components analysis (PCA), Fisher's linear discriminant analysis (LDA), and stepwise LDA. Typically, these feature space projections are suboptimal. In a typical hyperspectral ATR setup, the number of training signatures (ground truth) is often less than the dimensionality of the signatures. Standard dimensionality reduction tools such as LDA and PCA cannot be applied in such situations. In this paper, we present a divide-and-conquer approach that addresses this problem for robust ATR. We partition the hyperspectral space into contiguous subspaces based on the optimization of a performance metric. We then make local classification decisions in every subspace using a multiclassifier system and employ a decision fusion system for making the final decision on the class label. In this work, we propose a metric that incorporates higher order statistical information for accurate partitioning of the hyperspectral space. We also propose an adaptive weight assignment method in the decision fusion process based on the strengths (as measured by the training accuracies) of individual classifiers that made the local decisions. The proposed methods are tested using hyperspectral data with known ground truth, such that the efficacy can be quantitatively measured in terms of target recognition accuracies. The proposed system was found to significantly outperform conventional approaches. For example, under moderate pixel mixing, the proposed approach resulted in classification accuracies around 90%, where traditional feature fusion resulted in accuracies around 65%.     

Managing technology development for safety-critical systems

This paper presents a model that determines the optimal budget allocation strategy for the development of new technologies, for safety-critical systems, over multiple decision periods. The case of the development of a hypersonic passenger airplane is used as an illustration. The model takes into account both the probability of technology development success as a function of the allocated budget and the probability of operational performance of the final system. It assumes that the strategy is to consider (and possibly fund) several approaches to the development of each technology to maximize the probability of development success. The model, thus, decomposes the system's development process into multiple technology development modules (one for each technology needed), each involving a number of alternative projects. There is a tradeoff between development speed and operational reliability when the budget must be allocated among alternative technology projects with different probabilities of development success and operational reliability (e.g., an easily and quickly developed technology may have little robustness). The probabilities of development and operational failures are balanced by a risk analysis approach, which allows the decision maker to optimize the budget allocation among different projects in the development program, at the beginning of each budget period. The model indicates that by considering reliability in the R&D management process, the decision maker can make better decisions, optimizing the balance between development time, cost, and robustness of safety-critical systems.     

媒体资源管理系统的构建与应用研究

当今世界,信息技术不断发展,计算机多媒体技术为各行各业提供了便利的条件。各行各业在工作中,会涉及到大量的图片、电子文档、视频等资源,而这些宝贵资源的存储、管理及应用,越来越受到各行各业的宣传部门、档案部门的关注。由此,构建媒体资源管理系统成为了各行各业一个关键问题,而高等院校作为高等教育系统,在进行教学、科研、教育研究等实践过程中,会积累大量的媒体资源,围绕媒体资源管理系统的构建与应用展开研究。     

多元协同视域下智慧图书馆数字资源协同管理体系的构建

在信息技术快速发展的时代背景下,数字资源已成为图书馆重要的资源形态。面对海量的数字资源,如何进行高效地管理,成为图书馆管理人员面临的重要问题。为保障数字资源管理的高效性,文中以多元协同理念为基础,构建了智慧图书馆数字资源协同管理体系。协同理论的优势在于能从整体的视角对问题及其原因进行分析,从而根据实际情况探讨问题的解决对策。     

自律计算在服务器虚拟化管理中的应用

随着网格计算和公用计算发展,虚拟化成为在整合资源、帮助用户随需地取用资源方面的核心技术.本文把自律计算技术和虚拟化技术结合起来,通过把服务器资源分区,共享内存区域的分区连接成群集,实现了系统的高可用性和自我管理.