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The rapid growth of Electronic Health Records (EHRs), as well as the accompanied opportunities in Data-Driven Healthcare (DDH), has been attracting widespread interests and attentions. Recent progress in the design and applications of deep learning methods has shown promising results and is forcing massive changes in healthcare academia and industry, but most of these methods rely on massive labeled...
In this paper, a distributed fiber sensing system based on Stimulated Brillouin scattering (SBS) effect is experimentally studied. Using Brillouin optical correlation domain analysis, the spatial resolution was affected by the reference frequency and the sideband component suppressed in the probe. The lower side band and the central wavelength was filtered by a fiber Bragg grating (FBG). We adjusted...
Reading comprehension in foreign language learning is a complex process with many underlying cognitive components. SQ4R and Student Team Achievement Division (STAD) are teaching strategies helping students make sense of unfamiliar informational text step by step and cooperatively. This study investigated the effectiveness of explicit, incidental, and intentional learning conditions on reading comprehension...
The small-cell base station requires a high linearity, high reliable and high efficiency power amplifier to enhance signal strength in a coverage region. To meet the demand, the 2.6 GHz two-way symmetrical Doherty power amplifier module which uses modularized components, enhances system stability and integrates with heat sink is proposed. The experimental results show that the proposed module delivers...
We demonstrate interesting electrical polarization phenomenon in silica micro fiber to make kilovoltage sensors. The micro fiber can be intrinsically polarized and then physically moved by an external kilovoltage source to change its spectral responses.
Optical recording of calcium transients during spontaneous neuronal activities was first demonstrated via “neuron lasers” with a significantly improved sensitivity. This work provides a novel approach for monitoring neuronal network dynamics and on-chip neurophotonic applications.
The first demonstration of multiplexed lasing in human cancerous tissues with subcellular resolution was achieved by using antibodies and nucleic acid probes. Our work represents a critical milestone to implement optofluidic lasers in clinical applications for cancer diagnosis and prognosis.
Post event time comparison technique based on GNSS is the key to time synchronization and time service. And it is also an important measure to correct the time difference of GNSS receiver and to improve its design and performance. The traditional post — time comparison is usually based on the Kalman filtering algorithm. This paper focuses on the algorithm of GNSS common-view time alignment based on...
Smart materials actuated devices have been attracting tremendous attentions for decades, especially nowadays. Smart material actuators have been prevalently utilized in the fields such as soft robots and nano-engineering for their outstanding merits such as flexibility and ultrahigh spatial resolution. Although, usage of these smart material actuators can facilitate transmission systems design, problems...
Brain-state drifts could significantly impact on the performance of machine-learning algorithms in brain computer interface (BCI). However, less is understood with regard to how brain transition states influence a model and how it can be represented for a system. Herein we are interested in the hidden information of brain state-drift occurring in both simulated and real-world human-system interaction...
Many semiconductor industries gradually tend to transit from the complex 2D design to a high regularity of 1D gridded design. In this transition process, cut distribution position has become the most important challenge. For more advanced nanometer designs, cuts may be too dense to be printed by 193i lithography. While Directed Self-Assembly (DSA) is outstanding in recent years, it is a great potential...
Person Re-Identification (person re-id) is a crucial task as its applications in visual surveillance and human-computer interaction. In this work, we present a novel joint Spatial and Temporal Attention Pooling Network (ASTPN) for video-based person re-identification, which enables the feature extractor to be aware of the current input video sequences, in a way that interdependency from the matching...
This study presents a high performance extended gate field effect transistor (EGFET)-based organophosphorus and carbamate microsensor for pesticide detection. A planar Ti/Ag/AgCl/KCl-gel micro reference electrode is also integrated into the same silicon chip. The total dimension of the proposed pesticide sensing system is only 1.3 cm × 1.1 cm. The implemented novel EGFET-based organophosphorus and...
Adder is a critical component in arithmetic and logic units (ALUs). Minimizing the power consumption and delay of adder is an important issue. In this paper, we proposed a high performance multiplexer-based radix-4 adder with refined carry to reduce the propagation delay. To achieve high performance, the proposed radix-4 adder adopts multiplexers which are controlled by the carry signal of previous...
In order to realize the non-cooperative attitude motion capture, we propose a collaborative planning method for orbit and attitude during approaching process based on genetic algorithm and kinematic equation of dual quaternion integration. First of all, consider complex constraints conditions in the approach process; analyze all kinds of natural constraints in the approximation process; analyze the...
Multi-task learning aims to improve generalization performance of multiple prediction tasks by appropriately sharing relevant information across them. In the context of deep neural networks, this idea is often realized by hand-designed network architectures with layers that are shared across tasks and branches that encode task-specific features. However, the space of possible multi-task deep architectures...
Feature pooling layers (e.g., max pooling) in convolutional neural networks (CNNs) serve the dual purpose of providing increasingly abstract representations as well as yielding computational savings in subsequent convolutional layers. We view the pooling operation in CNNs as a two step procedure: first, a pooling window (e.g., 2× 2) slides over the feature map with stride one which leaves...
Atomic Force microscopy (AFM) is a powerful technology for observing and developing the micro/nano world, which has been bringing tremendous revolution opportunities to various fields. An AFM's maneuverability can be enhanced via modification into a nanorobotic system with its scanning probe working as the end-effector. The probe's spatial precision can easily reach to nanometer level, which is commonly...
Micro/nano-manipulation systems have been developed and utilized for decades due to their irreplaceable roles in fields such as MEMS/NEMS fabrication and biological studies. Generally, the motion precision of a micro/nano-manipulator highly depends on its actuator, whose performance can be enhanced by proper control strategies. To design satisfactory controllers, an accurate plant model is ideal....
This paper presents three deep-towed vehicles including the Abyss Twisted-pair Imaging System (ATIS), the Fiber-optical Instrumentation Towed System (FITS), and the Video-guided multi-corer (V-Corer), which were developed under the National Energy Program (NEP) of Taiwan from 2013 to 2016. Both of the vehicles ATIS and FITS were designed mainly for seafloor imaging but with different power and communication...
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