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Spectrum database plays an increasingly important role in spectrum measurements and monitoring, which lays foundations for accurate and real-time spectrum sensing in future cognitive radio networks. A successful identification of the channel propagation model is of great importance to construct spectrum database so as to give an accurate picture of spectrum use in real-world environments. In this...
Convolutional Neural Networks (CNNs) have become the state-of-the-art in various computer vision tasks, but they are still premature for most sensor data, especially in pervasive and wearable computing. A major reason for this is the limited amount of annotated training data. In this paper, we propose the idea of leveraging the discriminative power of pre-trained deep CNNs on 2-dimensional sensor...
Traditional kernelized correlation filter tracking methods use the target position in the current frame to estimate the moving target initial position in the next frame. For fast moving target, these methods lose the target easily. To cope with this problem, a novel scale-adaptive regression position prediction tracking approach is proposed. This algorithm employs regression prediction method to predict...
In this paper, we present an approach for person identification using morphing footsteps measured from a fabric-based pressure mapping sensor system. The flexible fabric sensor is 0.5 mm thin and operates under a 5 mm thick normal carpet; therefore, it can be easily implemented into modern smart living spaces. We extract features concerning single steps with the shifting of gravity center, maximum...
Proton Exchange Membrane Fuel Cell (PEMFC) is a promising power generation device, so it is very meaningful to assess the health state of the PEMFC in application. This paper proposes a method to evaluate the PEMFC health state based on a geometrical approach and Mahalanobis Distance (MD). Firstly, geometry features are extracted from electrochemical impedance spectroscopy (EIS) and polarization curve...
The normal operation of rolling bearing is of great significance to the functionality and efficiency of complex primary system. Thus, health assessment for rolling bearing plays an important role in prognostics and health management for mechanical components. Considering the non-stationary and nonlinear characteristics of vibration signals of mechanical components, it's difficult to extract accurate...
This paper addresses the problem of mobile robot navigation in unknown corridors using RGB-Depth cameras. Instead of building a full and global 3D map of the environment, the approach exploits line and dense features extracted from RGB-D sensors. Wall-floor boundary lines are extracted from pre-processed point clouds, which ensure reliable line segmentation results compared with monocular based methods...
In this paper, an efficient stereo vision based visual odometry algorithm is proposed to solve the long-range outdoor localization problem of a mobile robot using a binocular camera. An improved method of feature matching and tracking based on SIFT algorithm is presented. The color information is used to effectively eliminate wrong feature matching, and the BBF tree is adopted to speed up the search...
Due to the complexity of software systems, defects are inevitable. Understanding the types of defects could help developers to adopt measures in current and future software releases. In practice, developers often categorize defects into various types. One common categorization is based on fault triggers of defects. Fault trigger is a set of conditions which activate a defect (i.e., Fault) and propagate...
Configuration bugs are one of the dominant causes of software failures. Previous studies show that a configuration bug could cause huge financial losses in a software system. The importance of configuration bugs has attracted various research studies, e.g., To detect, diagnose, and fix configuration bugs. Given a bug report, an approach that can identify whether the bug is a configuration bug could...
We demonstrate through a pressure sensor matrix, that weight distribution on feet is influenced by body posture. A small cheap carpet equipped with low precision pressure sensor matrix is already sufficient to detect subtle activities and identity of the person on the carpet. By a 0.4 m2 matrix of 32 × 32, 12 bit pressure sensors, we achieve 78.7% accuracy for 11 test subjects performing 7 subtle...
Bug resolution refers to the activity that developers perform to diagnose, fix, test, and document bugs during software development and maintenance. It is a collaborative activity among developers who contribute their knowledge, ideas, and expertise to resolve bugs. Given a bug report, we would like to recommend the set of bug resolvers that could potentially contribute their knowledge to fix it....
There are two important problems worth conducting research in the fields of personalized information services based on user model. One is how to get and describe user personal information, i.e. building user model, the other is how to organize the information resources, i.e. document clustering. It is difficult to find out the desired information without a proper clustering algorithm. Several new...
In this paper an S-transform-based expert system is presented for classification of voltage dips. The S-transform (ST) technique is integrated with expert system (ES) model to construct the classifier. Firstly, ST technique is used to extract and quantify the significant features using amplitude factor, harmonic increment, number of amplitude mutation, and maximum value of phase angle shifting. Then...
Pattern theorem in financial time-series is one of the most important technical analysis methods in financial prediction. Recent researches have achieved big progresses in identifying and recognizing time-series patterns. And most of the recent works on time-series deal with this task by using static approaches and mainly focus on the recognition accuracy, but considering that recognition of patterns...
This paper presents a new algorithm to filter impulse noise from laser terrain image. The algorithm takes three steps to satisfy the laser images on the special requirements of signal holding, adaptive filtering and real-time processing. The first step is to extract and maintain the edge of terrain image, the second step is to detect and smooth gross errors in each filtering window, and the last step...
In this paper, a multi-ROIs medical image compression algorithm with edge feature preserving is proposed. By taking advantage of characteristics of medical image and human eye, the algorithm extracts image edge information by using canny operator first, and then divides image into regions-of-interest (ROIs) and non-ROIs. To ROIs, lossless compression algorithm JPEG2000 is used. To non-ROIs, high compression...
In this paper, we introduce a feature selection and classification method for prOTOF Mass Spectrometry (MS) data profiles of diseased and healthy patients. The method is based on a special statistical measure, which quantifies the probability of the existence of peptidepeaks. A special ranking score that is based on the statistical measure is used for selecting features that can best distinguish diseased...
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