Control of industrial accidents in Saudi Arabia

An information-based solution is proposed that will aid fire-fighters and other emergency service personnel in their control of industrial accidents in Saudi Arabia. The integration of databases and geographic information systems (GIS) through dynamic data exchange (DDE) creates an informatics tool with more general usability. Further, web enabled information exchange about hazardous materials is interfaced with the proposed information system. The resulting 'Industrial Incidents Administration System' (IIAS) is a paperless, user-centred, secure method for information exchange able to preserve information between the Civil Defence and Industrial Sectors in Saudi Arabia using state of the art electronic sources and resources. Three main needs were identified in the design phase of HAS: the information architecture of the data repositories in a form that retains semantic and syntactic values; a rapid-access database for planning decisions; and, an online transactional database for frequent updating. In order to achieve the HAS, the following technologies were exploited and integrated. Online data exchange through the use of an Information Bus system architecture; a local database which contains five subsystems; and the GIS application. Interoperability was an important feature of the proposed solution. In order to better understand and satisfy user needs, the prototype system was implemented and evaluated. The purpose of this prototype was to receive feedback from users to understand their needs. The feedback received helped to improve, as well as add, new functionalities to the HAS. In this study, we presented results and experiences of conducting two well known evaluation techniques heuristic evaluation and cognitive walk-through. The two methods employed complemented each other very well, the first giving feedback from end-users needs, and the second revealing deficiencies in usability in the system. The study provided convincing information for improving the current version of HAS

An Empirical Methodology for Engineering Human Systems Integration

The systems engineering technical processes are not sufficiently supported by methods and tools that quantitatively integrate human considerations into early system design. Because of this, engineers must often rely on qualitative judgments or delay critical decisions until late in the system lifecycle. Studies reveal that this is likely to result in cost, schedule, and performance consequences. This dissertation presents a methodology to improve the application of systems engineering technical processes for design. This methodology is mathematically rigorous, is grounded in relevant theory, and applies extant human subjects data to critical systems development challenges. The methodology is expressed in four methods that support early systems engineering activities: a requirements elicitation method, a function allocation method, an input device design method, and a display layout design method. These form a coherent approach to early system development. Each method is separately discussed and demonstrated using a prototypical system development program. In total, this original and significant work has a broad range of systems engineer applicability to improve the engineering of human systems integration

Reporting on Controls at a Service Organization: Relevant to Security, Availability, Processing Integrity, Condentiality, or Privacy (SOC2®), July 1, 2015

https://egrove.olemiss.edu/aicpa_indev/2337/thumbnail.jp

AICPA Professional Standards: Attestation Standards as of June 1, 1999

https://egrove.olemiss.edu/aicpa_prof/1176/thumbnail.jp

AICPA Professional Standards: Attestation Standards as of June 1, 1998

https://egrove.olemiss.edu/aicpa_prof/1175/thumbnail.jp

Control of industrial accidents in Saudi Arabia

An information-based solution is proposed that will aid fire-fighters and other emergency service personnel in their control of industrial accidents in Saudi Arabia. The integration of databases and geographic information systems (GIS) through dynamic data exchange (DDE) creates an informatics tool with more general usability. Further, web enabled information exchange about hazardous materials is interfaced with the proposed information system. The resulting 'Industrial Incidents Administration System' (IIAS) is a paperless, user-centred, secure method for information exchange able to preserve information between the Civil Defence and Industrial Sectors in Saudi Arabia using state of the art electronic sources and resources. Three main needs were identified in the design phase of HAS: the information architecture of the data repositories in a form that retains semantic and syntactic values; a rapid-access database for planning decisions; and, an online transactional database for frequent updating. In order to achieve the HAS, the following technologies were exploited and integrated. Online data exchange through the use of an Information Bus system architecture; a local database which contains five subsystems; and the GIS application. Interoperability was an important feature of the proposed solution. In order to better understand and satisfy user needs, the prototype system was implemented and evaluated. The purpose of this prototype was to receive feedback from users to understand their needs. The feedback received helped to improve, as well as add, new functionalities to the HAS. In this study, we presented results and experiences of conducting two well known evaluation techniques heuristic evaluation and cognitive walk-through. The two methods employed complemented each other very well, the first giving feedback from end-users needs, and the second revealing deficiencies in usability in the system. The study provided convincing information for improving the current version of HAS.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Journey of Artificial Intelligence Frontier: A Comprehensive Overview

The field of Artificial Intelligence AI is a transformational force with limitless promise in the age of fast technological growth This paper sets out on a thorough tour through the frontiers of AI providing a detailed understanding of its complex environment Starting with a historical context followed by the development of AI seeing its beginnings and growth On this journey fundamental ideas are explored looking at things like Machine Learning Neural Networks and Natural Language Processing Taking center stage are ethical issues and societal repercussions emphasising the significance of responsible AI application This voyage comes to a close by looking ahead to AI s potential for human-AI collaboration ground-breaking discoveries and the difficult obstacles that lie ahead This provides with a well-informed view on AI s past present and the unexplored regions it promises to explore by thoroughly navigating this terrai

Guide: SOC 2 Reporting on an Examination of Controls at a Service Organization Relevant to Security, Availability, Processing Integrity, Confidentiality, or Privacy, January 1, 2018

https://egrove.olemiss.edu/aicpa_indev/2398/thumbnail.jp