Abstract: Techniques are disclosed for cross-polarization-based object detection and classification. One example includes a system implemented for cross-polarization-based object detection and classification. The system includes a first transmitter antenna configured for radiating a first millimeter wave electromagnetic signal, where the first millimeter wave electromagnetic signal including a first polarization. The system further includes a first receiver antenna configured for receiving a second millimeter wave electromagnetic signal, the second millimeter wave electromagnetic signal including a second polarization. The system further includes a processing circuitry configured to detect an object based at least in part on the second millimeter wave electromagnetic signal, the object being impacted by the first millimeter wave electromagnetic signal to cause the second millimeter wave electromagnetic signal to reflect off the object.

Abstract: A method exosome purification and characterization is contemplated, comprising the steps of secondary two-stage tangential ultrafiltration to produce an extracted solution, pretreatment of the extracted solution for characterization, characterization of the extracted solution to detect particle size and concentration, and freeze-drying of the extracted solution. An exosome purification integrated device is also contemplated. Through the disclosed methods and devices, exosomes may be better purified and characterized in a manner that results in high practical value to overcome the problems associated with conventional exosome purification processes on the market today, including tedious purification processes, long durations, and high costs.

Abstract: A call admission control method can ensure the admission rate of the high priority business, and simultaneously greatly improve the admission rate of the low priority business. The occupied bandwidth of currently admitted business flows of a WiMAX network is denoted by ?bi,max, a bandwidth threshold of a base station system is denoted by bth, a total bandwidth that the base station system can distribute to users is denoted by btotal, applied minimum and maximum bandwidths are denoted by bN+1,min,bN+1,max, respectively for a new arrival (N+1)th business flow. When ?bi,max+bN+1,max?bth, the base station system will directly admit a request of an (N+1)th business flow. When ?bi,min+bN+1,min>btotal, the base station system will directly refuse the request of the (N+1)th business flow. When ?bi,max+bN+1,max?bth and ?bi,min+bN+1,min?btotal, comparing an admission rate P with a random number ? to determine whether a new arrival (N+1)th business flow is admitted or not.

Abstract: The present invention discloses an on-line identifying method of hand-written Arabic letter. The advantage of the present invention is that the multilayer coarse classification algorithm based on the local characteristic of Arabic letter fully utilize the various local characteristics of Arabic letter, obtain the first candidate letter aggregation matching with the inputted hand-written Arabic letter according to the first level coarse classification formed by the stroke number of letter, and then obtain the second candidate letter aggregation matching with inputted hand-written Arabic letter according to the other local characteristics and the first candidate letter aggregation. The application of the algorithm enables that the inputted hand-written Arabic letter only need to match with the standard letter stored in the predetermined letter library and the corresponding standard letters of the second candidate letter aggregation.

Abstract: The present invention discloses an identifying method of hand-written Latin letter. The present invention considers many hand-written styles of Latin letter, extract many stable characteristics of Latin letter of different hand-written styles, and classify the Latin letter aggregation each time with one characteristic, so that the whole standard Latin letter aggregation is classified into many small Latin letter aggregations with intersection to be the coarse classification candidate letter aggregations to be identified. When identifying the inputted hand-written Latin letter, obtain the coarse classification candidate letter aggregation that matches with the characteristics of the inputted hand-written Latin letter. Many stable characteristics ensure the identifying rate. The multilayer coarse classification candidate letter aggregations regulate the searching path and increase the identifying speed.

Abstract: A call admission control method can ensure the admission rate of the high priority business, and simultaneously greatly improve the admission rate of the low priority business. The occupied bandwidth of currently admitted business flows of a WiMAX network is denoted by ?bi,max, a bandwidth threshold of a base station system is denoted by bth, a total bandwidth that the base station system can distribute to users is denoted by btotal, applied minimum and maximum bandwidths are denoted by bN+1,min,bN+1,max, respectively for a new arrival (N+1)th business flow. When ?bi,max+bN+1,max?bth, the base station system will directly admit a request of an (N+1)th business flow. When ?bi,min+bN+1,min>btotal, the base station system will directly refuse the request of the (N+1)th business flow. When ?bi,max+bN+1,max?bth and ?bi,min+bN+1,min?btotal, comparing an admission rate P with a random number ? to determine whether a new arrival (N+1)th business flow is admitted or not.

Abstract: The present invention discloses an identifying method of hand-written Latin letter. The present invention considers many hand-written styles of Latin letter, extract many stable characteristics of Latin letter of different hand-written styles, and classify the Latin letter aggregation each time with one characteristic, so that the whole standard Latin letter aggregation is classified into many small Latin letter aggregations with intersection to be the coarse classification candidate letter aggregations to be identified. When identifying the inputted hand-written Latin letter, obtain the coarse classification candidate letter aggregation that matches with the characteristics of the inputted hand-written Latin letter. Many stable characteristics ensure the identifying rate. The multilayer coarse classification candidate letter aggregations regulate the searching path and increase the identifying speed.

Abstract: The present invention discloses an on-line identifying method of hand-written Arabic letter. The advantage of the present invention is that the multilayer coarse classification algorithm based on the local characteristic of Arabic letter fully utilize the various local characteristics of Arabic letter, obtain the first candidate letter aggregation matching with the inputted hand-written Arabic letter according to the first level coarse classification formed by the stroke number of letter, and then obtain the second candidate letter aggregation matching with inputted hand-written Arabic letter according to the other local characteristics and the first candidate letter aggregation. The application of the algorithm enables that the inputted hand-written Arabic letter only need to match with the standard letter stored in the predetermined letter library and the corresponding standard letters of the second candidate letter aggregation.