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Stereo-footprint is a vital trace evidence of criminal detection. Thus, it is important to make a high accuracy feature extraction of the stereo-footprint. In this paper, a system of stereo-footprint data acquisition-recognition is designed. In the system, feature extraction is completed through CP35MHT80 which offered by Wenglor, image extraction is gotten through C920 which is offered by Logitech...
Reliability has emerged as an important design criterion due to shrinking device dimensions. To address this challenge, researchers have proposed techniques compromising the Quality-of-Service across all design abstractions. Performing cross-layer reliability-QoS trade-off is a major challenge, which requires strong understanding of the fault propagation through different design abstractions. In this...
Robotic technologies provide accurate, objective, and highly reliable tools for assessment of brain function following stroke. KINARM is an exoskeleton device that uses a number of behavioral tasks to objectively quantify sensorimotor, proprioceptive and cognitive brain function using a battery of behavioral tasks. With a growing number of tasks deployed to more broadly assess different aspects of...
An impulse radio (IR) 60 GHz positioning system is proposed to provide accurate positioning. Two typical IR signals for positioning systems, namely polarity codes and pulse position modulation (PPM), are considered. The ranging and positioning accuracy and reliable distance in residential environments are investigated. Both line-of-sight (LOS) and non-line-of-sight (NLOS) channels are examined. Simulation...
Cohen's κ coefficient has been widely used for assessing classification results derived from remote sensing data. It however presents several limitations, which are preventing both an efficient use as well as a generalisation of its use. This paper reviews these problems and proposes as an alternative to prefer the Krippendorff's α-coefficient over Cohen's κ. Krippen-dorff's α indeed presents less...
A new region-based local stereo matching algorithm with accurate disparity estimation is proposed. For the local stereo matching, finding an appropriate support window is crucial to the performance of disparity estimation. In order to generate an accurate support region, a modified cross-based local approach combined with mean-shift segmentation is performed. We then further improve the reliability...
Low power factors are considered one of the pressing issues in the distribution system planning and operation particularly at countries where a monetary cost's scheme of the reactive power usage is not applied. Regulations, financial penalties and incentives, and technical solutions have all been used to improve low power factor levels. In this paper, a study and comparisons between several low power...
Welcome to this special panel aiming to reexamine the history of modern computing during early 20th century. During our discussion we will recognize some of the earliest efforts in transforming the world through electronic digital computing.
Learning analytics is valuable sources of understanding students' behavior and giving feedback to them so that we can improve their learning activities. Analyzing comment data written by students after each lesson helps to grasp their learning attitudes and situations. They can be a powerful source of data for all forms of assessment. In the current study, we break down student comments into different...
As a significant digital representation of terrain surface, varieties of DEM products have been available to the public. The most widely used global DEM products are SRTM and ASTER GDEM. Given the comparable horizontal resolution and vertical error, accuracy validation and comparison have been of interest since the release, however, usually on a wide range. In this paper, we presented the results...
Biometric gait analysis using wearable sensors offers an objective and quantitative method for gait parameter extraction. However, current techniques are constrained to specific platform parameters, and hence significantly lack generality, scalability and sustainability. In this paper, we propose a platform-independent and self-adaptive approach for gait cycle detection and cadence estimation. Our...
We present a graph matching refinement framework that improves the performance of a given graph matching algorithm. Our method synergistically uses the inherent structure information embedded globally in the active association graph, and locally on each individual graph. The combination of such information reveals how consistent each candidate match is with its global and local contexts. In doing...
Random Forest is a well-known ensemble learning method that achieves high recognition accuracies while preserving a fast training procedure. To construct a Random Forest classifier, several decision trees are arranged in a forest while a majority voting leads to the final decision. In order to split each node of a decision tree into two children, several possible variables are randomly selected while...
In hard disk quality control process, a set of m read/write heads are usually used to measure the width of head and bit error rate (BER) of a magnetic recording disk (MRD) under test to decide whether the disk under test is deflect. However, the quality of the read/write heads degrade for every read/write. To guarantee that the heads are still function, these heads must be changed after using them...
Service computing is a popular development paradigm in information technology. The functional properties of Web services assure correct functionality of cloud applications, while the nonfunctional properties such as reliability might significantly influence the user-perceived availability evaluation. Reliability rankings provide valuable information for making optimal cloud service selection from...
With the popularity of service-oriented architecture, many web systems have been developed in form of composite services. Since the performance of these composite services highly depends on Quality of Service (QoS) of employed atomic web services, it is important to predict the QoS values of atomic web services with high accuracy. Although collaborative filtering based approaches have recently been...
Circuit designers typically combat variations in hardware and workload by increasing conservative guardbanding that leads to operational inefficiency. Reducing this excessive guardband is highly desirable, but causes timing errors in synchronous circuits. We propose a methodology for supervised learning based models to predict timing errors at bit-level. We show that a logistic regression based model...
Crowd sourcing platforms enable enterprise requesters to leverage the online workforce to process voluminous enterprise tasks on a regular basis. Web services provided by these platforms facilitate requesters to post tasks, retrieve results and incentivize crowd workers. However, service assurance associated with task execution by crowd workers is not provided by these platforms. Owing to the flexible,...
PHM (Prognostic and Health Management) is a new concept, which is to ensure the normal operation of the complicated system, to achieve its functionality and reliability better. In this situation, the remaining useful life (RUL) prediction has aroused more and more concerns. Although the life prediction methods are many, there are not a set of systemic of evaluation parameters to evaluate the accuracy...
Audio event detection has been an active field of research in recent years. However, most of the proposed methods, if not all, analyze and detect complete events and little attention has been paid for early detection. In this paper, we present a system which enables early audio event detection in continuous audio recordings in which an event can be reliably recognized when only a partial duration...
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