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A simple multiple cross-correlations phase delay method (MCC) for unbiased estimation of the phase-shift between two real sinusoidal signals in white noise is proposed. The estimator removes the bias of the correlation methods and enhances the signal-to-noise ratio (SNR) by utilizing multiple cross-correlations of the real signals. The results obtained by MCC in simulations and on real samples are...
Software developers use continuous integration to find defects in the early stage and reduce risk. But this process can be resource and time consuming, which decreases the efficiency of development. In this work, we adopt cascaded classifiers to predict the build outcome and study what kinds of attributes are potentially useful for this process. We emphasize on the "failed" instances which...
A novel low-temperature solid-state bonding method that Cu microcones coated with Ag and Ag buffer has been proposed. Thin Ag layer was used to prevent the oxidation of Cu microcones and Ag layer of several micrometers was used as a buffer layer between Cu microcones and Cu bumps. No brittle IMCs formed in the interfaces.
To predict and assess visual attention, saliencybased visual attention modeling is a popular approach. However, state-of-the-art models are developed for adults, in which children are not considered. Additionally, these models consider neither social cues like face, nor attention learning cues. The face is a vital part of visual attention. Psychological studies reveal that sub-facial areas are different...
We report the experimental work on Fiber Bragg Grating (FBG) geophone with cantilever beam structure which was developed recently. Factors of effecting sensitivity are discussed. The testing system of acceleration sensitivity was established. The FBG geophone's sensitivity responses in different frequency were tested to verify the design. Experiments of FBG geophone with different damping are given...
In this paper, a robot vision-based method for localization is presented. We integrate a novel RGB-D image-based pose estimating technique with Monte Carlo localization to make the mobile robot find its position through image matching and pose correction. A database containing color image with corresponding depth image is pre-generated. The position and orientation information within a map is also...
In order to protect environment and improve utilization efficiency of energy, district electricity and heating system has been well developed with the supportive policy. However, the coupling between electrical system and heating system brings challenges to the existed theories for energy system analysis. Energy network theory is proposed after an in-depth analysis of the nature of energy. The analysis...
An improved canonical correlation analysis (CCA) approach for multi-subject blind source separation (BSS) of brain functional magnetic resonance imaging (fMRI) data is proposed. Group-level comparison analysis has attracted increasing interest in the human brain fMRI analysis. Canonical correlation analysis for blind source separation (BSS-CCA) relies on the fact that all meaningful real signals are...
Selecting appropriate element orientations can significantly reduce the sidelobe level of the antenna array. In this paper, a binary coded genetic algorithm (BCGA) which selects the element orientations from specified discrete angles, is proposed to reduce the sidelobe level (SLL) of the array. Compared to the conventional GA, the BCGA is much faster in this application. Synthesis results show the...
Package Level Threshold Voltage Stability (VTS) evaluation on PMOS has emerged as one of the critical reliability concerns in deep sub-micron devices. In this paper, we present a novel method to fast measure VTS at wafer level. Our result shows that changing the Source/Drain IMP species can improve the VTS of a 0.13um Flash.
In multi-hop wireless networks (MWNs), interference and connectivity are two key factors that affect end-to-end network throughput. Traditional omni-directional antennas and directional antennas either generate significant interference or provide poor network connectivity. Reconfigurable antenna (RA) is an emerging antenna technology that can agilely switch among many different antenna states including...
With the relative inexpensiveness of 3D sensors today, it has become easier to collect 3D spatial data. This opens up the usability for these data, called point clouds, in areas such as robotics, telemedicine, and entertainment. However, a primary issue is the data rate of point clouds being produced by sensors such as the Microsoft Kinect. When transmitted, the size of a single point cloud coupled...
Mobile apps have had a large impact on many industries including higher education for many years since it emerged. The goal of this research is to deepen our understanding of the state of mobile apps development at higher education institutions in Taiwan, and it focuses on three major issues: (a) how many institutions are there in Taiwan adopting mobile apps; (b) what are the popular mobile services...
In Cognitive Radio Networks (CRNs), the spectrum underlay approach enables primary and secondary networks to transmit simultaneously, as long as the interference from the secondary network to the primary network is below certain threshold. As the recent advancement of the underlay approach, the transparent coexistence exploiting MIMO interference cancellation was proposed. Previous works assume that...
Zero-refractive-index metalens was designed and fabricated on silicon platform. Anomalous focusing effect was observed directly and the effective refractive index was quantitatively demonstrated. The device reveals potential applications for aberration-free lens and spectral detection.
Aiming at the security problem faced by virtual resources in sharing mode, this study builds up a queuing theory model using resource utilization efficiency. This model takes into account the classic three-stage structure in shared mode, builds users, shares the cloud system and shares Virtual resources between the three system structure and response process. The virtual resource sharing system is...
The growth of public DNA sequence and metagenomic data over the last two decades has been exponential. Bioinformatics researchers are confronted with analysis of massive data sets, while the problem is still growing at an alarming rate in the near future. In this paper, we integrate many open source software tools in biological sequences analysis to construct an effective cloud-based microbial metagenomics...
This paper presents a phonetically-aware joint density Gaussian mixture model (JD-GMM) framework for voice conversion that no longer requires parallel data from source speaker at the training stage. Considering that the phonetic level features contain text information which should be preserved in the conversion task, we propose a method that only concatenates phonetic discriminant features and spectral...
Crowdsensing recently attracts great attention from both industry and academia. By fusing and analyzing multi- dimensional sensing data collected from crowdsensing users, it is possible to support health caring, environment mentoring, traffic mentoring and social behavior mentoring. Nonetheless, how to preserve users' data privacy during data fusing, e.g., data aggregation, has been rarely discussed...
The database-driven cognitive radio network (CRN) is regarded as a promising way for a better utilization of spectrum resources without introducing the interference to primary users (PUs). However, there are some critical security and privacy issues in database-driven CRNs, which have been rarely discussed before. First of all, in order to retrieve the spectrum available information (SAI) of one's...
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