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Evaluating association rules is an integral post process in association rule mining. Association rules are examined by measures for their interestingness. Different interestingness measures have been proposed. Given an association rule mining task, measures are assessed and selected against a set of user-specified properties. However, in practice, due to the subjectivity and imperfection in property...
Traditionally, Linear Prediction is used to predict future values of a signal using past values. The goal is to minimize prediction errors. In this paper, we propose a novel method of utilizing prediction errors to extract edges of images. In this method, smooth prediction errors are minimized while steep changes (larger errors) are amplified. Therefore, when applied to image edge detection, edge...
In semiconductor manufacturing processes, mixed-products are usually fabricated on the same set of process tool with different recipes. Run-to-run controllers which based on the exponential weighted moving average (EWMA) statistic are probably the most frequently used in industry for the quality control of certain semiconductor manufacturing process steps. However, for mixed-product drifting process,...
Sequential auctions with the Vickrey-Clarke-Glove (VCG) mechanism are proposed for two buyers to purchase multiple units of an identical item. The suppliers in a duopoly market environment are assumed to have capacity constraints of providing the required product. Three research problems are studied: the suppliers' expected payoff functions, the suppliers' bidding strategies in the first auction,...
This paper proposes a method to detect the macula in the retinal fundus image automatically. The method makes use of the optic disc height obtained from the ARGALI to define the region of interest. Regions of dark spots are then detected by finding the coordinates with the lowest pixel intensity and determining the average pixel neighbourhood intensities. These regions are ranked to determine the...
There exists a large and underutilized resource of archaeological literature, both formal, such as scholarly journals and less formal in the form of `grey literature'. In the archaeological domain the vast majority of this literature contains some geo-spatial element as well as the expected temporal information and therefore its ease of discovery would be greatly enhanced were it accessible via a...
In this presentation two event-related potentials, mismatch negativity (MMN) and P3a, are extracted from EEG by non-negative matrix factorization (NMF) simultaneously. Typically MMN recordings show a mixture of MMN, P3a, and responses to repeated standard stimuli. NMF may release the source independence assumption and data length limitations required by fast independent component analysis (FastICA)...
Error-rate evaluation of space-time codes using union bounds sometimes requires very heavy computational loads and so is impractical to use. In this paper, a common function shared by different union bounds is derived and used to develop a modified union bound (MUB) for error-rate evaluation. Results of numerical evaluations and Monte-Carlo simulation on two 2times2 rotation-based S-T codes show that...
A geometry based parametric model of a differential high-speed line traversing a ten-layer microprocessor package is developed. This model is used to undertake a detailed study of the effect of the various geometrical parameters on the return loss performance of such a package. The forward problem is solved using a fast, full-wave electromagnetic (EM) solver. The effect of various types of routing...
Based on the requirements of electric vehicles on electric motor drives, this paper presents three criteria to evaluate motoring operation of in-wheel switched reluctance motor drives for electric vehicles. They are the average torque, the average torque per rms current, and torque smoothness factor. They indicate the motoring torque, copper loss and torque ripple, respectively. The model of motoring...
The formula for the exact union bound (EUB) on BER based on the exact closed-form pair-wise error probability (PEP) is most accurate for calculating the bit-error-rates (BERs) of space-time (S-T) codes in multiple-input multiple output (MIMO) systems. In this paper, it is shown that using the exact closed-form PEP formula for numerical calculations of the PEP or the EUB on BER could produce negative...
Loss prevention is a significant challenge in retail enterprises. A significant percentage of this loss occurs at point of sale (POS) terminals. POS data mining tools known collectively as exception based reporting (EBR) are helping retailers, but they have limitations as they can only work statistically on trends and anomalies in digital POS data. By applying video analytics techniques to POS transactions,...
This paper presents a highly scalable and adaptable co-learning framework on multimodal image retrieval and image annotation. The co-learning framework is based on the multiple instance learning theory. While this framework is a general framework that may be used in any specific domains, to evaluate this framework, we apply it to the Berkeley Drosophila ISH embryo image database for the evaluations...
A matching pursuit decomposes any signal into a linear expansion of waveforms that belong to a dictionary of functions. These waveforms are selected in order to best match the signal structures. For dictionaries of functions that have a wide range of different time-frequency localizations, a matching pursuit yields an adaptive time-frequency transform. The authors derive a signal energy distribution...
The theory of Variable Structure Systems (VSS) is extended to three-segment VSS. This is an effective means to insensitize a system to parameter variations and disturbances. The sliding mode region is extended and the response can start and stay on the sliding mode from the initial to final running time. Example are given to illustrate the effectiveness of the proposed method. Analysis shows the superiority,...
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