Development and Application of On-Line Control System for Operation Mode in Substations

This paper proposes a kind of on-line control system for operation mode in substations, which can read data on-line from EMS, and then calculate total loss of substations in parallel operation, split operation or individual operation mode. According to the result, the system can select the most optimized way and feed the conclusion back to EMS, which can make substations operate in the most optimized way. The system is suitable for optimization of substation in rural power grid.

Severe Complications of the Anterior Cricoid Split Operation and Single-Stage Laryngotracheoplasty

The management of congenital and acquired subglottic stenosis has been considerably facilitated with the introduction of the anterior cricoid split operation and, more recently, the single-stage laryngotracheoplasty. These procedures are followed by a 1- to 2-week period of sedation, during which the patient is paralyzed and completely dependent on mechanical ventilation. Although these procedures have proven very successful at achieving decannulation, the postoperative period can be the source of significant complications. This is illustrated with 4 cases of severe postoperative complications. The possible pathophysiologic causes are discussed, and the literature concerning the postoperative complications of these procedures is reviewed. The avoidance of neuromuscular blockade must be weighed against the possible increased need for narcotics and increased risk of self-extubation. An intensive care unit setting proficient in the care of these patients is necessary for a successful outcome.

MODEL-GUIDED ATTRIBUTED STRING MATCHING BY SPLIT-AND-MERGE FOR SHAPE RECOGNITION

Due to noise and distortion, segmentation uncertainty is a key problem in structural pattern analysis. In this paper we propose the use of the split operation for shape recognition by attributed string matching. After illustrating the disadvantage of attributed string matching using the merge operation, the split operation is proposed. Under the guidance of the model shape, an input shape can be reapproximated, using the split operation, into a new attributed string representation. By combining the split and the merge operations for shape matching it is unnecessary to apply any type of edit operation to a model shape. This makes the distance between the input shape and the model shape more meaningful and stable, and improves recognition results. An algorithm for attributed string matching by split-and-merge is proposed. To eliminate the effect of the numbers of primitives in the model shape on the shape distance, shape recognition based on a similarity measure is also proposed. Good experimental results prove the feasibility of the proposed approach for general shape recognition.