Intelligent Integrated Management for Telecommunication Networks

As the size of communication networks keeps on growing, faster connections, cooperating technologies and the divergence of equipment and data communications, the management of the resulting networks gets additional important and time-critical. More advanced tools are needed to support this activity. In this article we describe the design and implementation of a management platform using Artificial Intelligent reasoning technique. For this goal we make use of an expert system. This study focuses on an intelligent framework and a language for formalizing knowledge management descriptions and combining them with existing OSI management model. We propose a new paradigm where the intelligent network management is integrated into the conceptual repository of management information called Managed Information Base (MIB). This paper outlines the development of an expert system prototype based in our propose GDMO+ standard and describes the most important facets, advantages and drawbacks that were found after prototyping our proposal

Integrated Expert Management Knowledge on OSI Network Management Objects

The management of modern telecommunications networks must satisfy ever-increasing operational demands. We propose a study for the improvement of intelligent administration techniques in telecommunications networks. This task is achieved by integrating knowledge base of expert system within the management information used to manage a network. For this purpose, an extension of OSI management framework specifications language has been added and investigated. For this goal, we shall use the language Guidelines for the Definition of Managed Objects (GDMO) and a new property named RULE which gathers important aspects of the facts and the knowledge base of the embedded expert system. Networks can be managed easily by using this proposed integration

Overcoming barriers and increasing independence: service robots for elderly and disabled people

This paper discusses the potential for service robots to overcome barriers and increase independence of elderly and disabled people. It includes a brief overview of the existing uses of service robots by disabled and elderly people and advances in technology which will make new uses possible and provides suggestions for some of these new applications. The paper also considers the design and other conditions to be met for user acceptance. It also discusses the complementarity of assistive service robots and personal assistance and considers the types of applications and users for which service robots are and are not suitable

Making intelligent systems team players: Case studies and design issues. Volume 1: Human-computer interaction design

Initial results are reported from a multi-year, interdisciplinary effort to provide guidance and assistance for designers of intelligent systems and their user interfaces. The objective is to achieve more effective human-computer interaction (HCI) for systems with real time fault management capabilities. Intelligent fault management systems within the NASA were evaluated for insight into the design of systems with complex HCI. Preliminary results include: (1) a description of real time fault management in aerospace domains; (2) recommendations and examples for improving intelligent systems design and user interface design; (3) identification of issues requiring further research; and (4) recommendations for a development methodology integrating HCI design into intelligent system design

Making intelligent systems team players: Overview for designers

This report is a guide and companion to the NASA Technical Memorandum 104738, 'Making Intelligent Systems Team Players,' Volumes 1 and 2. The first two volumes of this Technical Memorandum provide comprehensive guidance to designers of intelligent systems for real-time fault management of space systems, with the objective of achieving more effective human interaction. This report provides an analysis of the material discussed in the Technical Memorandum. It clarifies what it means for an intelligent system to be a team player, and how such systems are designed. It identifies significant intelligent system design problems and their impacts on reliability and usability. Where common design practice is not effective in solving these problems, we make recommendations for these situations. In this report, we summarize the main points in the Technical Memorandum and identify where to look for further information

Sailing with a ghost ship: Design guidelines for developing supervisory control interfaces for the semi-autonomous cargo vessel system

Rolls-Royce Marine is currently developing a semi-autonomous cargo vessel. The semi-autonomous cargo ship operation is a supervisory control task, in which the human operator is receiving information from a remote semi-autonomous vessel and instructing it through supervisory control interfaces. Thus, it is necessary to have supervisory control interfaces to carry the operation. But, the design guidelines for the interfaces are unclear, because of the lack of semi-autonomous cargo ships. The thesis presents design guidelines for developing supervisory control interfaces for the semi-autonomous cargo vessel. The research question answered in this thesis is: “How to design a supervisory control interface for remote semi-autonomous cargo vessel system to enable intuitive and precise instruction of the course plan?” The author answers the question through a research and design process that consists of the problem and solution spaces. The problem space suggests design requirements through a literature review and experts interviews. The literature review gives contextual and theoretical knowledge to design supervisory control interfaces. The expert interviews with video gamers and autonomous ship experts present potential user needs and design considerations. The findings from the problem space combine and formulate design requirements. The solution space ideates and prototypes a supervisory control interface prototype by applying the design requirements. The prototype has been evaluated in usability tests with sailors and autonomous ship expert. The findings from the usability tests are linked to the design requirements to evaluate how the designed solution fulfils design requirements. The thesis contributes to the design of semi-autonomous cargo vessel supervisory control interfaces by answering to the research question. In the conclusion part, the author answer to the research question by suggesting three design themes, which are synthetics of the design requirements and analysis. The design themes are: providing situation awareness, intuitive manipulation, and collaborative control. With these design themes designers will be able to develop supervisory control interfaces, which present intuitive and precise course planning capability to the operators. At the same time, the findings of the thesis will provide several directions for further research, such as researching an unmanned surface vehicle supervisory control interface

Computer hardware and software for robotic control

The KSC has implemented an integrated system that coordinates state-of-the-art robotic subsystems. It is a sensor based real-time robotic control system performing operations beyond the capability of an off-the-shelf robot. The integrated system provides real-time closed loop adaptive path control of position and orientation of all six axes of a large robot; enables the implementation of a highly configurable, expandable testbed for sensor system development; and makes several smart distributed control subsystems (robot arm controller, process controller, graphics display, and vision tracking) appear as intelligent peripherals to a supervisory computer coordinating the overall systems

NASA space station automation: AI-based technology review

Research and Development projects in automation for the Space Station are discussed. Artificial Intelligence (AI) based automation technologies are planned to enhance crew safety through reduced need for EVA, increase crew productivity through the reduction of routine operations, increase space station autonomy, and augment space station capability through the use of teleoperation and robotics. AI technology will also be developed for the servicing of satellites at the Space Station, system monitoring and diagnosis, space manufacturing, and the assembly of large space structures