https://elib.bsu.by:443/handle/123456789/53833 2026-04-20T01:20:07Z https://elib.bsu.by:443/handle/123456789/53837 Заглавие документа: An approach to reduce the power consumption during signature analysis Авторы: Borovikov, M. G. Аннотация: Power consumption of digital systems may increase significantly during testing. In this paper power consumption of the LFSR-based signature analysis register for scan-based BIST schemes is analysed. To reduce the power consumption of BIST scheme an alternative signature analyser is proposed. This solution can be easily integrated into an existing design flow and does not have any negative impact on test speed and system speed. 2003-01-01T00:00:00Z https://elib.bsu.by:443/handle/123456789/53836 Заглавие документа: A switching activity reducing tecnique for the signature analyzer Авторы: Murashko, I.; Yarmolik, V. Аннотация: This paper presents new solutions for reducing the power consumption of built-in self-test (BIST) environment such as signature analyzer (SA). The key idea behind this technique is based on the designing a new SA structure for compressing several test responses bits per one clock pulse. The proposed method can be used within "test-per-clock" BIST architecture, as well as may be extended for the "test-per-scan" BIST technique. 2003-01-01T00:00:00Z https://elib.bsu.by:443/handle/123456789/53835 Заглавие документа: A calibration program for autonomous video based robot navigation systems Авторы: Florczyk, S. Аннотация: A program for camera calibration was implemented for a robot vision project. The aim of this project is the development of software to generate a map with an autonomous mobile robot. The map generation must be performed only video based and shall be the base for tasks which must be fulfilled by an office messenger or a watchman. The field for service robots requires especially cheap, fast, and simply portable software. Calibration program SICAST (simple calibration strategy) in this work meets these requirements. 2003-01-01T00:00:00Z https://elib.bsu.by:443/handle/123456789/53834 Заглавие документа: Multi-layer SOM neural network for IC-items detection on photo-snapshot images of poly-silicon layer Авторы: Vatkin, M. E. Аннотация: The structure of multi-layer SOM neural network for structural items detection on a gray scale image of an integrated circuit (1С) is considered. The IC-items shape distortions invariant neural network structure and training rule are represented. The comparative outcomes of recognition have shown an advantage of neural network approach. 2003-01-01T00:00:00Z