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Numerous image matching methods for wide range of applications have been invented in the last decade. When high precision and reliability of the object space point coordinates is highly demanding, a stereo image matching method which can produce conjugate point of images and a standard deviation of the matched point is examined. In this approach, image gradients are used locally to seek a conjugate...
Bond pad quality and reliability evaluation is part of important structure test for wafer fabrication. In order to ensure production consistency, and part of continuous monitoring, as well as new process qualification, bond pad evaluation through wire bond is required. Usually the test was conducted by proceed through standard IC packaging such as wafer saw, die attach and wire bond to simulate actual...
Acoustic parameters are very useful in voice screening, diagnosis and rehabilitation, and also in forensic voice comparison tasks. In this paper we present results for the acoustic analysis performed by two different voice analysis platforms and involving five sustained vowels uttered by 10 female speakers and 9 male speakers. We consider contemporaneous high-quality (HQ) and GSM voice recordings,...
Wireless sensor networks (WSNs) have found many applications in building environment monitoring and energy management applications. However, WSN data is not completely reliable and hence its use in energy management has to be carefully considered. Experiments conducted on a WSN test bed monitoring a campus classroom highlight how sensor data is prone to errors, underlining the need to detect faulty...
In recent times, there has been significant interest in the machine recognition of human emotions, due to the suite of applications to which this knowledge can be applied. A number of different modalities, such as speech or facial expression, individually and with eye gaze, have been investigated by the affective computing research community to either classify the emotion (e.g. sad, happy, angry)...
Probabilistic power flow (PPF) approach based on unscented transformation (UT) method, which is particular for a variety of interdependent uncertainty sources associated with AC/DC hybrid grid, is presented herein. The applied traditional UT method is inherent with capability to tackle correlated random variables, however, the accuracy is poor in case of asymmetric distributions. In order to address...
In this paper, an investigation of multiview video coding schemes is presented, based on different inter-view prediction structures and various group of pictures (GOP) sizes. The studied inter-view prediction schemes in this paper are: A new approach namely “PIP”, recently proposed (PBI), and the benchmark structure (MVC). Results of the conducted tests allow to order the studied inter-view structures...
In this work, we explore the problem of generating fantastic special-effects for the typography. It is quite challenging due to the model diversities to illustrate varied text effects for different characters. To address this issue, our key idea is to exploit the analytics on the high regularity of the spatial distribution for text effects to guide the synthesis process. Specifically, we characterize...
Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance. We introduce the channel and spatial reliability concepts to DCF tracking and provide a novel learning algorithm for its efficient and seamless integration in the filter update and the tracking process. The spatial reliability map adjusts the filter support to...
In recent years, CubeSats have emerged as a platform of intense interest for a wide range of applications, including remote sensing. Of specific interest in this paper are data processing challenges associated with the MIT's Microwave Atmospheric Satellite (MicroMAS). Due to the motion of MicroMAS and the geometry of the data acquisition process, measurements are not collected on a regular grid of...
SAR data is playing key role in monitoring, the current status or change in, the land cover. For unsupervised SAR image classification, polarization signatures can play a significant role. Since it is difficult to obtain specific polarization signature of real land cover, it is customary to represent them with standard canonical structures polarization signatures. A critical analysis of the complex...
In order to find a set of optimal discriminant vectors which can maximize the inter-class scatter while simultaneously minimizing the intra-class scatter after the projection, a new algorithm of orthogonal optimal discriminant vectors and a new algorithm of statistically uncorrelated optimal discriminant vectors for feature extraction were proposed. Compared with the original MMC feature extraction...
This paper takes the university students of a class as samples, collects students' communication materials by means of questionnaire, statistics, analyzes and compares the communication and interaction in practical and IM environments by means of variables analysis and network analysis, and from the two aspects of individual performance and group relationship. The results show that, in the two environments,...
The study herein summarized was focused on the development of a method to derive reliable estimates of the quality of movement of stroke survivors via the analysis of wearable sensor data. Data was collected from 34 subjects while they performed a battery of functional movements that are part of a standard clinical assessment. The quality of movement was assessed using the Functional Ability Scale,...
Post-concussion syndrome (PCS) is associated with incomplete recovery following a mild traumatic brain injury (mTBI). Currently, there is no biomarker to diagnose post-concussion syndrome. Although microstructural damage to white matter tracts is postulated and reported in some studies, there is no diagnostic biomarker available. In this paper, we present preliminary results of a novel and simple-toadminister...
This paper makes an empirical test on the correlation between financial restatement and audit report lag (ARL) using data of non-financial listed companies in China during the period 2009–2012. The empirical results show that there is a significant positive correlation between financial restatement and ARL. The longer the ARL is, the more likely it is for the company to perform a financial restatement...
Conventional logic and memory devices are built out of stable, deterministic units such as standard MOS (metal oxide semiconductor) transistors or nanomagnets with energy barriers in excess of ∼ 40–60 kT. In this talk I will show that unstable, stochastic units (“p-bits”, p-for probabilistic) can be interconnected to design “p-circuits” that exhibit large scale, robust correlations to implement precise...
The research aims to examine the influence of lecturers' competences towards student achievement motivation. By knowing the relationship lectures' competencies and performance motivation, researchers intend to provide feedback for Bina Nusantara University towards the development of lecturers' competencies and motivation. The competencies of the lecturers are the external factors that bolster students'...
Compressed sensing (CS) with prior information concerns the problem of reconstructing a sparse signal with the aid of a similar signal which is known beforehand. We consider a new approach to integrate the prior information into CS via maximizing the correlation between the prior knowledge and the desired signal. We then present a geometric analysis for the proposed method under sub-Gaussian measurements...
This paper aims at the comparison of the network power for Pearson-Hamming networks built using the chi-squared functional set, and Bayes-Hamming networks built using the hyperbolic functional set. To configure these networks a correlation matrix of biometric data is calculated. At the nest step the data are sorted. Low-correlated data are converted with Pearson-Hamming networks, high-correlated data...
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