2017, Vol.22, No.8

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

pISSN : 1598-849X / eISSN : 2383-9945
https://journal.kci.go.kr/jksci

In this paper, we proposed the test equipment that can perform separate performance tests to mass-produce the Automatic Test Equipment. Until now, the performance test of the ATE has been performed after it has been assembled perfectly. It is possible to perform the performance test only when the external device manufacturing and setting of measurement resources and the internal wiring work have been completed. So we have been studying test equipment that separately tested the switching devices that played a key role in the performance of the ATE. To build the test equipment, we reviewed the circuit card assemblies that make up the switching devices. We designed a test equipment that satisfies the performance test and apply the completed test equipment to the actual production process to analyze whether it was effective in improving the time and workability of the performance test. The test equipment has the advantage that it can be used universally in the mass production process of ATE with the same type of switching device.

In this paper, we propose the smart belt system for preventing loss of items using Beacon. The proposed system monitors the distances of the registered items via the belt that is always worn. The belt determines the loss of the items by measuring the relative distance via RSSI (Received Signal Strength Indicator) value of the signals received from the BLE (Bluetoothl Low Energy) sensor, which is attached on the items such as bags and wallets. If the registered item is determined to be lost, the belt rings to remind the user of the loss. The missing status could be known to users through the smartphone application connected to the belt. The smartphone application communicates with the belt using Beacon, and provides users with a quick and easy way to check the status of their items.

In this paper, the block reweighting and global offset initialization methods are proposed to complement the improved IRLMS algorithm which is the effective algorithm in registration based SBNUC algorithm. Proposed block weighting method reweights the error map whose abnormal data are excluded. The global offset initialization method compensates the global nonuniformity initially. The ordinary registration based SBNUC algorithm is hard to compensate global nonuniformity because of low scene motion. We employ the proposed methods to improved IRLMS algorithm, and apply it to real-world infrared raw image stream. The result shows that new implementation provides 3.5~4.0dB higher PSNR and convergence speed 1.5 faster then the improved IRLMS algorithm.