Automation of periodic reports. Preliminary user's manual.

Transportation Department, Office of the Assistant Secretary for Policy and International Affairs, Washington, D.C.

Automation; economic implications and impact upon collective bargaining.

Includes bibliographies.

Office automation and white collar employment.

Mode of access: Internet.

Stock markets : information vendors need SEC oversight to control automation risks : report to the Chairman, Securities and Exhange Commission /

"B-246404"--P. 1.

Training for SESA [State Employment Security Agencies] automation : a developing national program for the State, job service, unemployment insurance service /

Loose-leaf for updating.

Program development plan : automation of field operations and services /

On spine: AFOS program development plan.

Merchant ship automation study; final report. Contract number MA-2228, U.S. Department of Commerce, Maritime Administration, Washington.

v.1.Summary and recommendations.--v.2.Automatic ship control and communications systems.--v.3.Appendices to 262 R 0012.--v.3.Appendices to 262 R 0012.--v.4.automatic control of engineering functions.--v.5.Appendices to 262 R 0014.--v.6.Powerplants and auxiliaries for automated ships.--v.7.Economic aspects of automation.--v.8.Legal implications of automation.

Hans Kudlich : Denkschrift zur vierzigjährigen Feier der Robot-Aufhebung /

Mode of access: Internet.

Progress report, Automation Committee, formed under agreements of September 1, 1959 between Armour and Company and United Packinghouse Food and Allied Workers, AFL-CIO, Amalgamated Meat Cutters, and Butcher Workmen of North America, AFL-CIO.

Appendix (p. 28-29): Text of the "Automation" section of agreement ... dated August 31, 1959.

Automation and the workplace : selected labor, education, and training issues : a technical memorandum.

Mode of access: Internet.

The mechanization, automation, and increased effectiveness of the clinical laboratory ; a status report.

Mode of access: Internet.

Towards Automation in Digital Investigations : Seeking Efficiency in Digital Forensics in Mobile and Cloud Environments

Cybercrime and related malicious activity in our increasingly digital world has become more prevalent and sophisticated, evading traditional security mechanisms. Digital forensics has been proposed to help investigate, understand and eventually mitigate such attacks. The practice of digital forensics, however, is still fraught with various challenges. Some of the most prominent of these challenges include the increasing amounts of data and the diversity of digital evidence sources appearing in digital investigations. Mobile devices and cloud infrastructures are an interesting specimen, as they inherently exhibit these challenging circumstances and are becoming more prevalent in digital investigations today. Additionally they embody further characteristics such as large volumes of data from multiple sources, dynamic sharing of resources, limited individual device capabilities and the presence of sensitive data. These combined set of circumstances make digital investigations in mobile and cloud environments particularly challenging. This is not aided by the fact that digital forensics today still involves manual, time consuming tasks within the processes of identifying evidence, performing evidence acquisition and correlating multiple diverse sources of evidence in the analysis phase. Furthermore, industry standard tools developed are largely evidence-oriented, have limited support for evidence integration and only automate certain precursory tasks, such as indexing and text searching. In this study, efficiency, in the form of reducing the time and human labour effort expended, is sought after in digital investigations in highly networked environments through the automation of certain activities in the digital forensic process. To this end requirements are outlined and an architecture designed for an automated system that performs digital forensics in highly networked mobile and cloud environments. Part of the remote evidence acquisition activity of this architecture is built and tested on several mobile devices in terms of speed and reliability. A method for integrating multiple diverse evidence sources in an automated manner, supporting correlation and automated reasoning is developed and tested. Finally the proposed architecture is reviewed and enhancements proposed in order to further automate the architecture by introducing decentralization particularly within the storage and processing functionality. This decentralization also improves machine to machine communication supporting several digital investigation processes enabled by the architecture through harnessing the properties of various peer-to-peer overlays. Remote evidence acquisition helps to improve the efficiency (time and effort involved) in digital investigations by removing the need for proximity to the evidence. Experiments show that a single TCP connection client-server paradigm does not offer the required scalability and reliability for remote evidence acquisition and that a multi-TCP connection paradigm is required. The automated integration, correlation and reasoning on multiple diverse evidence sources demonstrated in the experiments improves speed and reduces the human effort needed in the analysis phase by removing the need for time-consuming manual correlation. Finally, informed by published scientific literature, the proposed enhancements for further decentralizing the Live Evidence Information Aggregator (LEIA) architecture offer a platform for increased machine-to-machine communication thereby enabling automation and reducing the need for manual human intervention.

Towards rope shovel automation operation information system

The road to electric rope shovel automation is marked with technological innovations that include an increase in operational information available to mining operations. The CRCMining Shovel Operator Information System not only collects machine operational data but also provides the operator with knowledge-of-performance and influences his/her performance to achieve higher productivity with reduced machine duty. The operator’s behaviour is one of the most important aspects of the man-machine interaction to be considered before semi- or fully-automated shovel systems can be realised. This paper presents the results of the rope shovel studies conducted by CRCMining between 2002 and 2004, provides information on current research to improve shovel performance and briefly discusses the implications of human-system interactions on future designs of autonomous machines.

Multi-robot control in highly dynamic, competitive environments

The control and coordination of multiple mobile robots is a challenging task; particularly in environments with multiple, rapidly moving obstacles and agents. This paper describes a robust approach to multi-robot control, where robustness is gained from competency at every layer of robot control. The layers are: (i) a central coordination system (MAPS), (ii) an action system (AES), (iii) a navigation module, and (iv) a low level dynamic motion control system. The multi-robot coordination system assigns each robot a role and a sub-goal. Each robot’s action execution system then assumes the assigned role and attempts to achieve the specified sub-goal. The robot’s navigation system directs the robot to specific goal locations while ensuring that the robot avoids any obstacles. The motion system maps the heading and speed information from the navigation system to force-constrained motion. This multi-robot system has been extensively tested and applied in the robot soccer domain using both centralized and distributed coordination.