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A tutorial or diagnostic aid based on the representation and iterative interpretation of visual images is taught. A teaching or diagnostic session is created by overlaying an interpretation layer via a software application onto the visual image layer and synchronizing the two with the time code of the visual image. The interpretation layer allows the reviewer to identify image areas of interest by gesture and append comments thereto in real time; i.e. images or portions of images within the visual representation playback may be identified and labeled and have the concurrent commentary associated therewith. The comments are indexed and linked to a database of similar topics. The flow of the session is recorded to show the images, deictic gestures associated therewith, and commentary associated with the gestures, to enable subsequent users to playback a session and follow the flow of thought (i.e. image identification and commentary within the original session). Iterative sessions allow additional image identification and commentary to be accomplished. Additional database access through the index may further enhance a teaching session, or provide for research sessions and report generation.

A remotely operated vehicle assembly for picking up storage bins from a storage system includes a vehicle body that displays a cavity for receiving a storage bin situated somewhere within the storage system, a vehicle lifting device at least indirectly connected to the vehicle body for lifting the storage bin into the cavity, driving mechanisms or components connected to the vehicle body allowing remotely controlled movements of the vehicle assembly within the storage system, a wireless communication link that provides wireless communication between the vehicle assembly and a remote control unit such as a computer, one or more main power sources supplying electrical power to the driving mechanisms or components and vehicle coupling means for operational and releasable coupling of the main power source to the vehicle body.

A system and methods for capacity planning of electronic systems storage are provided. Features include a non-invasive data discovery and collection mechanism, an adaptive grouping mechanism, a flexible analysis mechanism, predictive modeling and forecasting mechanisms, and a business metric and correlation mechanism. A discovery engine that ascertains the availability of collectable entities. A collection engine in turn gathers information from and about entities discovered by the discovery engine. A grouping module groups together entities according to parameters specified by the user. An analysis and forecasting module allows a user to create, modify and save forecast scenarios from which a model is generated by a modeling module. Correlations can be identified between specified key business metrics and historical data. Once a model has been created, a forecast is generated and can then be analyzed using Bold Freehand Extrapolation, time-series analysis, and business trend-based forecasting.

A method for obtaining a map comprises: capturing a map image from a physical map, obtaining a plurality of geographical coordinates corresponding to a plurality of reference points from one of the physical map and the map image, calculating a corresponding geographical coordinate of each pixel in the map image, and embedding a relationship between each pixel and its corresponding geographical coordinate into the map image.