Abstract-In this paper, we describe a method of identifying a set of target crosstalk faults which may need to be tested in synchronous sequential circuits. Our method classifies the pairs of aggressor and victim lines, using topological and timing information, to deduce a set of target crosstalk faults. In this process, our method also identifies the false crosstalk faults that need not (and/or cannot) be tested in synchronous sequential circuits. Experimental results for ISCAS'89 and ITC'99 benchmark circuits show that the proposed method is CPU time efficient in obtaining the reduced lists of the target crosstalk faults. Also, the lists of the target crosstalk faults obtained by our method are substantially smaller than the sets of all possible combinations of faults.Index Terms-Crosstalk faults, lists of the target crosstalk faults, synchronous sequential circuits.
Abstract-This paper presents a new approach for breast cancer diagnosis using a combination of an Adaptive Network based Fuzzy Inference System (ANFIS) and the Information Gain method. In this approach, the ANFIS is to build an input-output mapping using both human knowledge and machine learning ability and the information gain method is to reduce the number of input features to ANFIS. An experimental result shows 98.23% accuracy which underlines the capability of the proposed algorithm.
Diagnosis of some chest diseases like heart failure, lung cancer or lung tuberculosis, etc. is often based on chest X-ray images (CXR). The diseases are curable if they are detected in their early stages. Examining CXR is a time consuming process. In some cases, medical experts had overlooked the diseases in their firstexaminations on CXR, and when the images were reexamined, the disease signs could be detected.Furthermore, the number of CXR to examine is numerous and far beyond the capability of available medical staff, especially in developing countries. A computer-aided diagnosis (CAD) system can mark suspected areas on CXR for careful examination by medical doctors, and can give alarm in the cases that need urgent attention. This paper reports our continuous work on the development of a CAD tool, which is an extended version of a conference paper [1]. In this version, we present some more works on CXR analysis and examination.
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