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A class imbalance problem often appears in many real world applications, e.g. fault diagnosis, text categorization, fraud detection. When dealing with a large-scale imbalanced dataset, feature selection becomes a great challenge. To confront it, this work proposes a feature selection approach based on a decision tree rule. The effectiveness of the proposed approach is verified by classifying a large-scale...
In order to comprehensively and quantitatively evaluate the cooling performance of the refrigerator, a model for evaluating refrigerator cooling performance was designed. The model selected several key parameters of the refrigerator cooling process as the evaluation index, and assigned its set value, base deviation and weight coefficient, calculated the deviation proportion of each evaluation index,...
In this paper, the problem of identifying correlated components in a high-dimensional Gaussian vector is considered. In the setup considered, instead of having to take a full-vector observation at each time index, the observer is allowed to observe any subset or full set of components in the vector, and he has the freedom to design his sampling strategies over time. The observer aims to find an optimal...
This paper focuses on the content of test cases, and categorizes test cases into clusters using the similarity between test cases, their degree of similarity is obtained through a morphological analysis. If there are two similar test cases, they would test the same or similar functionalities in similar but different conditions. Thus, when one of them is run for a regression testing, the remaining...
A simple microfluidic device which can perform antimicrobial susceptibility testing (AST) of combined antibiotics against antibiotics-resistant bacteria has been presented. A new approach to determine the fractional inhibitory concentration (FIC) index of two antibiotics by performing broth dilutions automatically was proposed and its performance was highly consistent with manual operation. The experimental...
In order to avoid the problems in traditional forecasting methods which demand too much of various data types and have difficulty in training models, this paper proposes two rapid prediction methods which are called “One by One Comparison” and “Regression as a Whole”. By using the two methods, as long as you get playing index in the first few days of a TV drama, the total playing index accumulation...
We introduce a new Blind Source Separation Approach called binNTF which operates on tensor-valued binary datasets. Assuming that several simultaneously acting sources or elementary causes are generating the observed data, the objective of our approach is to uncover the underlying sources as well as their individual contribution to each observation with a minimum number of assumptions in an unsupervised...
The aim of this work is to design and implement program, which is able to do basic operations and to interactively create hash tables. It describes principles of hashing, behavior of hash tables with the use of various methods, which deal with conflicts when inserting values into tables and analyzes selected hash functions. It explains testing methods of open addressing and factors that affect efficient...
Determining the intelligibilities of filtered speech with various spectrum regions is of great significance for communication research and applications. The importance of different spectral components upon the speech intelligibility for western languages has been studied extensively, but not for Chinese. The current study investigated the relative spectral contributions of Chinese Mandarin sentences...
A distributed hypothesis testing problem is considered, where the goal is to declare the distribution of two random variables, based on their observations. Defining two error events, the error exponent of Type II is studied under a fixed constraint over the error of type I. A novel approach is presented, based on random binning. The benefits of this approach are demonstrated through an example, compared...
This paper presents a compiler and runtime framework for parallelizing sparse matrix computations that have loop-carried dependences. Our approach automatically generates a runtime inspector to collect data dependence information and achieves wavefront parallelization of the computation, where iterations within a wavefront execute in parallel, and synchronization is required across wavefronts. A key...
For those responsible for the design and implementation of a SpaceFibre network it is essential to be able to capture and view the traffic on a SpaceFibre link in order to help validate the link is operating as expected and debug the link should any unexpected behaviour be observed. STAR-Dundee Ltd have developed hardware independent SpaceFibre Link Analyser software for this purpose. This paper describes...
Nowadays, a lot of safe driving devices and systems have already been commercialized and applied in many vehicles and it is necessary to test these safe driving devices and systems through the simulation at the laboratory first before the real vehicle and road test. This paper describes a driving situation criteria established for collection of driving and vehicle data and a data collection system...
In a management system of the quality of concrete in construction sites, a destructive test is always present in the quality assurance procedure (QAP) to assess concrete strengths of the structure (column, beam, insole … etc), if the resistance measured by laboratory crushing of the cylinders is greater than what was provided in the study phase, we say that there satisfaction results and the construction...
A new temporal sampling method for human action recognition using depth maps is proposed. The depth map frames are projected onto three orthogonal Cartesian planes respectively and the absolute difference between two successive projected ones is stacked to form the motion energy. Three sub-action frame sequences are selected accordingly, which constructs Adaptive Temporal Sampling (ATS) descriptor,...
The inter-digit coordination during precision grip was assessed using a recurrence-based phase synchronization (PS) analysis in this study. The PS across the normal forces of the thumb and index finger with respect to the contact surface serve as a critical dynamical strategy underlying precision grip. When both the thumb and index finger had reduced tactile sensitivity, the PS of Fz increased compared...
Water is classified into four status of water quality, which good condition, lightly polluted, medium polluted and heavyly polluted. The classification status of water quality is very important to know the proper use and handling. Accuracy in classification of the quality status is very important, so that both of the classification algorithm K-Nearest Neighbor (KNN) and Support Vector Machine (SVM)...
To meet the needs of risk assessment of power transformer in power system, a condition assessment model of power transformer based on fuzzy evaluation method and information fusion technology is proposed in this paper. Typical parameters from preventative test and on-line monitoring are selected to evaluate operational condition of power transformer. The selected condition parameters are normalized...
Health Index (HI) technique is useful for maintenance strategy planning of transformers utilized in industrial sectors and electrical power systems. The conventional HI method requires many testing parameters to evaluate the transformer conditions. Therefore, it may lead to be an impractical task in many reality cases. Besides, some required testing parameters are not clearly defined. The aim of this...
Advances in wireless and computing technology has given great strength to migrate from health care system that paper-based into Electronic Health Record (EHR). This change provides many benefits and concerns that must be handled carefully. Sharing health information becomes daily routine in which the primary caregiver (example: family physician) often refer patients to specialists outside the organization's...
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