Self-description and discovery is a fancy name for what happens when you plug a new printer into a PC: For example: § 1st message: “New hardware detected” § 2nd message: “Driver xxx is being installed” § 3rd message: “Printer is ready for use” Now, imagine a SCADA/EMS system performing equivalent actions: § 1st message: “New RTU detected” § 2nd message: “SCADA database being updated” § 3rd message: “Data acquisition commencing” § 4th message: “Power System Model being updated” § 5th message: “Contingency Analysis is ready to execute” Self-description and discovery form the basis for ‘plug-and-play’ technologies. The concept behind self-description and discovery is that data models can be stored electronically in repositories, servers, and other distributed databases, using a language for describing data such as XML. These XML descriptions of the data models are ‘self-describing’: they contain the standardized name of the data along with the structure and formatting of the data. Thus, they can be browsed by users who can immediately understand what they are browsing.
Technology Independent Design –Using a technology independent design is an important concept when developing interoperable systems and equipment today. A technology independent design must focus on the behavior and structure of the components within a system and abstract the implementation details of any particular technology. This key concept allows for different implementations and technologies to exist, yet still allow these components to be used interchangeably. Using technology independent design enables a coherent architecture to be created independently of deployment specifics. When implemented, the technologies are chosen to meet requirements but are implemented in a way that complies with the technology independent design. Descriptive Analysis : The analysis aims to provide an overview of the respondents and an insight into their behavioral patterns. It also means that description of the any project and traveling. Showing an example of travelling. A description of the travel behavior of independent and group travelers, and their demographic profiles. Travel behavior In total, 1,096 travelers were interviewed. Of these 77.8% (853) are independent travelers and 22.2% (243) are travelling on a package tour. In terms of travel purpose, 74.8% of the entire sample is on holiday, 7.5% travelling on business, 5.9% visiting friends and relatives, and 11.8% travelling for other purposes. There is a statistically significant difference (Pearson Chi Square = 10.362; df = 3; p =.016) between independent travellers and package travellers in terms of travel purpose. The majority of both groups are travelling for holiday purposes (73.7% of independent travellers and 78.6% of package tour travellers), but 7.2% of independent travellers are travelling to visit friends and relatives, while only 1.6% of group tourists are doing so.