UAVs Integration in the SWIM Based Architecture for ATM

The System Wide Information Management (SWIM) approach has been conceived to overcome the capacity and flexibility limitations of the current ATM systems. On the other hand the commercial applications of Unmanned Aerial Vehicles (UAVs) require the integration of these vehicles in the ATM. From this perspective, the unavoidable modernization of the ATM is seen as an opportunity to integrate the UAVs with the rest of the air traffic. This paper is devoted to study the feasibility and impact of the aggregation of UAVs on the future ATM supported by a SWIM inspired architecture. Departing from the existing technical documents that describe the fundamentals of SWIM we have explored the compatibility with a potential UAVs integration and also explored how the UAVs could help to improve the future ATM system. We will use the weather application as an example in both cases.     

A Rendering Equation for Specular Transfers and Its Integration into Global Illumination

In this paper, we present a rigorous theoretical formulation of the fundamental problem—indirect illumination from area sources via curved ideal specular surfaces. Intensity and area factors are introduced to clarify this problem and to rectify the radiance from these specular surfaces. They take surface geometry, such as Gaussian curvature, into account. Based on this formulation, an algorithm for integrating ideal specular transfers into global illumination is also presented. This algorithm can deal with curved specular reflectors and transmitters. An implementation is described based on wavefront tracing and progressive radiosity. Sample images generated by this method are presented.     

实现ATM与IP有效结合的两种策略

网络分为无连接与面向连接两种服务类型,ＩＰ与ＡＴＭ是这两种服务类型的主要代表,无连接的ＩＰ在浏览器、电子邮件等非实时的服务要求等方面更有效。但对于有高质量要求的实时服务传送中,ＡＴＭ是一种更好的选择,这两种服务类型不可能相互取代。对实现两者有效结合的两种策略进行了探讨。     

Putting intelligence back into the ATM network

In conclusion, the combination of external and internal pressures requires banks to gain greater insight into, and better understanding of, what the ATM network is doing for their business. The intelligence gained provides competitive advantage for banks, improving their overall business by providing visibility to never-before seen trends, patterns and statistics. With more detailed knowledge of their ATM network's performance, network traffic and quality of service, banks can improve the profitability of their networks and better address customer requirements and needs.     

IP交换技术—IP与ATM的紧密结合

由于Internet网络规模的快速扩展和运行各种多媒体业务的需要,IP交换技术越来越受到人们的重视。它将网络交换机的高速性和路由器的灵活性结合起来,解决了传统IP网络在运行实时业务时不能保证服务质量(QOS)的问题,并且克服了传统路由器包转发速度太慢造成的网络瓶颈问题。文章讨论了IP交换的关键技术,分析比较了几种不同的IP交换技术,并指出了所存在的问题。     

IP和ATM集成技术的分析与应用

分析IP和ATM结合技术中需解决问题及各种集成模型,在此基础上阐述了一种与ATM交换转发IP分组的新方法.并分析了这种技术的不足,对该方法可能的改进进行了一些探讨.     

GNSS 系统接收机自主完好性监测算法

提出一种适用于多星座情况的接收机自主完好性监测算法——基于完好性指标动态分配的完好性监测算法。该算法比传统算法更能适应多星座情况下不同星座观测量属性的差异,其可用性比传统算法提高2％～3％。在多星座和双频情况下,利用该算法分析完好性监测的性能,结果表明,该算法在LPV-200完好性要求下是适用的。     

基于全局和局部特征集成的人脸识别

提出利用一种串、并行结合的方式将全局和局部面部特征进行集成:首先利用全局特征进行粗略的匹配,然后再将全局和局部特征集成起来进行精细的确认.在该方法中,全局和局部特征分别采用傅里叶变换和Gabor小波变换进行提取.两个大规模的人脸库(FERET and FRGC v2.0)上的实验结果表明,此方法不仅可以显著提高系统的精度,而且可以提升系统的速度.     

A Survey of Airworthiness and Certification for UAS

The Italian SMAT project is a civilian program supported by Piemonte Region developed for the territorial monitoring and surveillance and for the prevention of natural hazards. In a different way from the previous surveillance programs, the SMAT project is based on the use of several unmanned platforms that are able to cooperate through ground coordination and control station. The flight in non-segregated airspace, needed in order to accomplish the territorial monitoring mission, is a main issue to be investigated and defined, because of the current lack of a common consensus and agreement on the regulations of UAS. The present work outlines the international initiatives that deal with the development of the regulatory framework on airworthiness and certification of UAS and their potential impact on the SMAT project.     

基于自组织结构的自主智能机器人集成系统

该文提出了基于多Agent的面向任务集成的自组织结构IRASO(intelligent robotic architecture with self-organization).该系统利用事件-势态估计-状态变化协调多Agent的结构组成,使其与外界环境变化一致.文章详细讨论此结构的集成方案,通过仿真分析其特性.     

AUV自主控制全局模型及智能决策算法研究

分析了自主式水下潜器(AUV)自主控制全局模型的内涵,指出应该包含环境信息、使命信息以及自身状态三个部分;用栅格法建立了环境模型;定义了"多区域地形勘察"使命案例;分析了与决策算法相关的AUV自身状态的表示方法;在此基础上开发了智能决策算法,算法包含路径选优和速度规划两部分;应用图论及运筹学的方法实现了路径选优,应用遗传算法实现了速度规划;用Petri网为AUV的使命控制过程建模,最终完成了智能决策算法和使命控制系统的集成;经仿真验证,所开发的智能决策决策算法正确有效,AUV使命的控制和执行自主可靠.     

全局和局部信息融合的案情关键要素识别

司法人工智能中主要挑战性问题之一是案情关键要素识别,现有方法仅将案情要素作为一个命名实体识别任务,导致识别出的多数信息是无关的.另外,也缺乏对文本的全局信息和词汇局部信息的有效利用,导致要素边界识别的效果不佳.针对这些问题,提出一种融合全局和局部信息的关键案情要素识别方法.所提方法首先利用BERT模型作为司法文本的输入共享层以提取文本特征.然后,在共享层之上建立司法案情要素识别、司法文本分类(全局信息)、司法中文分词(局部信息)这3个子任务进行联合学习模型.最后,在两个公开数据集上测试所提方法的效果,结果表明:所提方法 F1值均超过了现有的先进方法,提高了要素实体分类的准确率并减少了识别边界错误问题.     

AAL适配MPEG—2视频信号的效率

分析了用不同ＡＡＬ适配ＭＰＥＧ－２视频信号的效率，并给出了具体计算公式，比较了在实用情况下，采用不同ＡＡＬ的优劣。     

A Simulation Environment for an Augmented Global Navigation Satellite System Assisted Autonomous Robotic Lawn-Mower

This paper presents the software architecture that was developed to evaluate the performance of different Global Navigation Satellite Systems (GNSSs) and Satellite/Ground-Based Augmentation Systems for the localization and navigation of an autonomous robotic lawn-mower. In particular, a complete simulation environment has been developed to analyse the system performance obtained by adopting the future European GNSSs when GALILEO will be fully operative. Moreover, this tool has been adopted in the development phase of a precise GNSS-based localization system and developed within the MOW-BY-SAT project, an FP7 project funded by the European Commission; this architecture relies on an innovative algorithm that allows for a Real Time Kinematic localization system, while requiring only a pair of low-cost GPS receivers. The results show the validity of the developed localization and control architecture and the potential of the future European GALILEO system.     

Autonomous navigation during the final ascent of a spacecraft into the geostationary orbit. Autonomous integrated navigation system concept

Journal of Computer and Systems Sciences International - This paper is the first in a series of works devoted to the problems of a spacecraft in the geostationary orbit autonomous operation. The...     

Reachability Analysis of Landing Sites for Forced Landing of a UAS

This paper details a method to ascertain the reachability of known emergency landing sites for any fixed wing aircraft in a forced landing situation. With a knowledge of the aircraft’s state and parameters, as well as a known wind profile, the area of maximum glide range can be calculated using aircraft equations of motion for gliding flight. A landing descent circuit technique used by human pilots carrying out forced landings called high key low key is employed to account for the extra glide distance required for an approach and landing. By combining maximum glide range analysis with the descent circuit, all the reachable landing sites can be determined. X-Plane flight simulator is used to demonstrate and validate the techniques presented.     

Integration of Yoruba language into MaryTTS

This paper presents the integration of Yoruba language into MaryTTS and the evaluation of the resulting text-to-speech (TTS) system using the unit-selection method. Yoruba language sounds system contains 54 elements: 12 vowels, 03 tones for each vowel and 18 consonants. The design of our system is based on the extraction of relevant features from the corpus and their use to select the sequences that can give the best synthesized voice output. The evaluation based on the mean opinion score gave us 2.9 out of 5 as score which is equivalent to a good quality. Integration into MaryTTS consisted in adding Yoruba synthesis component to MaryTTS and making Yoruba language available for usage and sharing for research works. Future work will be performed on some challenges such as objective evaluations of output audio stream, expressiveness (which will need prosodic modification) and hidden markov model synthesis for comparison purposes so as to improve the efficiency.     

Decentralized Control of Autonomous Swarm Systems Using Artificial Potential Functions: Analytical Design Guidelines

This paper presents a framework for decentralized control of self-organizing swarm systems based on the artificial potential functions (APFs). In this scheme, multiple agents in a swarm self-organize to flock and achieve formation control through attractive and repulsive forces among themselves using APFs. In particular, this paper presents a set of analytical guidelines for designing potential functions to avoid local minima for a number of representative scenarios. Specifically the following cases are addressed: 1) A non-reachable goal problem (a case that the potential of the goal is overwhelmed by the potential of an obstacle, 2) an obstacle collision problem (a case that the potential of the obstacle is overwhelmed by the potential of the goal), 3) an obstacle collision problem in swarm (a case that the potential of the obstacle is overwhelmed by potential of other robots in a group formation) and 4) an inter-robot collision problem (a case that the potential of the robot in a formation is overwhelmed by potential of the goal). The simulation results showed that the proposed scheme can effectively construct a self-organized swarm system with the capability of group formation, navigation and migration in the presence of obstacles.Category (5) – Intelligent Systems/Intelligent Control/Fuzzy Control/Prosthetics/Robot Motion Planning