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After the next-generation sequencing technology, long-read sequencing technologies were developed. Both the advantages and the drawbacks of long-read sequencing technologies are obvious. Here, we take advantages of long-read sequencing technology, MinION, to develop a comprehensive and user-friendly pipeline, NanoAsPipe, to identify the transcriptomic profiles, isoform profiles, and alternative splicing...
Temporal stability of the parametric spectro-temporal analyzer (PASTA) system is thoroughly explored and significantly enhanced, with the spectral accuracy improved from 1.6 nm to 0.04 nm, leveraging the active phase-lock loop and temperature feedback control.
We report an all-optical real-time ultra-broadband radio frequency (RF) spectrum analyzer based on parametric spectro-temporal analyzer (PASTA). It not only has the large RF bandwidth (over 800 GHz), but also achieves over 90-MHz frame rate.
Generating a realistic image from a novel viewpoint has always been a key problem in image-based rendering and other related domains. In this paper we utilize the state-of-the-art generative adversarial networks(GAN) to synthesize novel views of a structured scene. Based on our proposed representations for traffic scene, a realistic image of a certain viewpoint can be generated via conditional GANs,...
The scaling up of antennae and terminals in large-scale multiple-input multiple-output (MIMO) systems helps increase the spectral efficiency at the penalty of prohibitive computational complexity. In conventional linear detection such as the minimum mean square error (MMSE) signal detection, the high complexity is mainly caused by solving the inversion of random matrix, especially in large-scale MIMO...
An all-optical electrical spectrum analyzer is demonstrated based on dual optical frequency combs and microwave photonics, and it improves the resolution to be 250 MHz over 10-GHz bandwidth, with the 1-kHz frame rate. The spectrum is directly obtained in the time domain, using as low as 10-MHz acquisition bandwidth, without any post-processing.
Creativity is considered as a very important element of the society development. Having entered the big data era, people have been focusing on finding a pathway developing creativity for all applications. In the psychology and education domain, various approaches have been attempted, such as divergent thinking and brain storming. The psychology domain has researched on human's cognitive development...
Axial piston pump is very important in the hydraulic system, and its health affects the entire system directly The wear and tear of the port plate pair is the main reason for the decrease of the axial piston pump pressure and flow rate. Therefore, the degradation test of the cylinder with the flow port plate pair and the port plate is studied. The wear and degradation trend of the port plate pair...
Odometry is a very popular research direction in recent decades and plays a very critical role in the autonomous navigation system. VISO2, as a relatively robust and mature visual odometry algorithm, becomes unreliable when distinct visual features are insufficiently or when the texture of the environment is repetitive. Even if not in such a challenging environment, the drift is still a big problem...
Software memory disclosure attacks, such as buffer over-read, often work quietly and would cause secret data leakage. The well-known OpenSSL Heartbleed vulnerability leaked out millions of servers’ private keys, which caused most of the Internet services insecure at that time. Existing solutions are either hard to apply to large code bases (e.g., through formal verification [20] or symbolic execution...
We have demonstrated a single passband microwave photonic filter (MPF) based on the stimulated Brillouin scattering (SBS). The obtained single passband MPF shows a main to secondary sidelobe ratio (MSSR) of exceeding 50 dB with a center frequency tunable from 0 to 40 GHz, and a full width at half maximum (FWHM) bandwidth of 16 MHz.
Remote sensing images are widely used in various fields. However, they are usually degraded by haze. In this paper, a spatial-spectral adaptive haze removal method for remote sensing images is proposed. The proposed method is based on haze imaging model and the dark channel prior. Our method is able to diminish the phenomenon of color distortion and haze removed not completely in different bands....
We propose and experimentally demonstrate a real-time broadband radio frequency (RF) spectrum analyzer. It achieves 800-GHz bandwidth, as well as 94-MHz frame rate, without sacrificing the resolution (1.25 GHz). It is capable of observing the multi-frequency at a single frame.
This paper presents a method of map building and path planning in an unknown environment. The method employs Light Detection And Ranging (LiDAR) to construct the 2D grid map, on which Anytime D* (AD*) and Dynamic Window Approach (DWA) are used for path planning. The global path is generated by AD* algorithm while DWA is responsible for dynamic obstacle avoidance. Simulation and experiments verify...
A modular cable-driven manipulator that consists of cable-driven joint modules can produce intrinsically-safe motions because of its light-weight structure and variable-stiffness property. In this paper, we focus on the issue of stiffness-oriented cable tension distribution for a 3-DOF 6-cable Cable-driven Spherical Joint Module (CSJM), which is modeled as a convex optimization problem. An algorithm...
State-of-the-art CNN models for Image recognition use deep networks with small filters instead of shallow networks with large filters, because the former requires fewer weights. In the light of above trend, we present a fast and efficient FPGA based convolution engine to accelerate CNN models over small filters. The convolution engine implements Winograd minimal filtering algorithm to reduce the number...
Trapped Rydberg ions are a promising new approach to quantum information processing [1, 2]. This idea combines qubit encoding in the ions' ground states with entanglement operations via the Rydberg interaction. It promises to speed up entanglement operations and make them available in larger ion crystals.
Regular zero-forcing (RZF) precoding algorithm is well- known as its low complexity and high performance in massive MIMO systems. However, when the number of transmitting antennas increases, the matrix inversion in RZF leads to high algorithmic complexity. In this paper, we propose an improved Newton iteration to estimate the matrix inversion in RZF precoding. Compared with the traditional Newton...
In the fifth-generation (5G) networks, millimeter- wave (mmWave) bands have drawn great attention for the large amount of possible bandwidth. Meanwhile, satellite communications have also shown great interest in the mmWave bands, especially the Ka band. Under such a circumstance, the spectrum sharing between the satellite and terrestrial communication systems becomes prominent. In this paper, we analyze...
Traffic matrix is a key input of traffic engineering and network design. It describes the pattern of network traffic from a global perspective and is an important factor for network management decision. TM-LB algorithm is a traffic matrix-based load balancing algorithm. However, the algorithm considers the link weights without the influence of link distance and utilization. Meanwhile the algorithm...
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