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Data representation is a fundamental task in machine learning, which affects the performance of the whole machine learning system. In the past few years, with the rapid development of deep learning, the models for word embedding based on neural networks have brought new inspiration to the research of natural language processing. In this paper, two kinds of schemes for improving the Continuous Bag-of-Words...
Road detection from the perspective of moving vehicles is a challenging issue in autonomous driving. Recently, many deep learning methods spring up for this task because they can extract high-level local features to find road regions from raw RGB data, such as Convolutional Neural Networks (CNN) and Fully Convolutional Networks (FCN). However, how to detect the boundary of road accurately is still...
Atmospheric transmittance is an important factor that affects the accuracy of target radiation measurement. In this paper, the radiation characteristics of the target body are measured by infrared radiometer MR170. The response of the spectral radiometer is calibrated by two-point method. Based on the measurement results of the target blackbody radiation under the condition of different temperatures,...
In this paper, we describe our experiment and demonstration in applying Service Oriented Architecture (SOA) to mobile nodes in the tactical domain. Our scenario encompasses two convoys that exchange information using NATO standards in order to achieve Friendly Force Tracking between different nations. NATO has identified the WS-Notification standard for the publish/subscribe pattern, so we use that...
In the process of making radio programs, Radio stations need to get a IoT of audio material, which are usually stored on the FTP server. The traditional radio program production station will download each audio, and do not consider the server's and the local environment, using a single-threaded download, which results in poor user experience. This paper designs an efficient download mechanism, which...
Mining drug targets from database is a problem of challenge but significance, which has received much attention from academia and industry. As a main source of drug targets, proteins have abundant sequence properties analyzed by the modern measuring techniques and those properties provide a new perspective for detecting the potential proteins as drug targets. In our research, two typical ensemble...
Renewable energy or biofuel from lignocellulosic biomass is an alternative way to replace the depleting fossil fuels. The production cost can be reduced by increasing the concentration of biomass particles. However, lignocellulosic biomass is a suspension of natural fibres, and processing at high solid concentration is a challenging task. Thus, understanding the factors that affect the rheology of...
This paper is based on the “cutting knife” shape LEFP, which is formed by variable thickness liner. It can be used to interrupt rod penetrator. By numerical simulation software ANASYS/LS-DYNA simulating the forming process of LEFP, it can establish different caliber penetrator model and the process of penetrating target. Analyzing the interference with different caliber penetrator, it can measure...
This paper presents a new OLTC (On-load tap-changing), which can effectively solve the arcs and improve the operating speed. By using the magnetic latching relay instead of the switch, eliminating the complicated mechanical driving mechanism to shorten the voltage regulating time, reduce the failure rate and the cost; Based on the new OLTC the paper studies the automatic regulating, with a Single-Chip...
The one class classification (OCC), a special learning framework dealing with the positive and unlabeled dataset, has ubiquitous applications, especially in the era of information-explosion. Since it has aroused researchers' interests from both academia and industry, we provide a comprehensive revisit to algorithms for the OCC from the perspective of methodologies with the ideas of essence behind...
Person re-identification is a critical yet challenging task in video surveillance which intends to match people over non-overlapping cameras. Most metric learning algorithms for person re-identification use symmetric matrix to project feature vectors into the same subspace to compute the similarity while ignoring the discrepancy between views. To solve this problem, we proposed an asymmetric cross-view...
Dimensionality reduction plays an important role in solving the “curse of the dimensionality” and attracts a number of researchers in the past decades. In this paper, we proposed a new supervised linear dimensionality reduction method named largest center-specific margin (LCM) based on the intuition that after linear transformation, the distances between the points and their corresponding class centers...
In this paper, a new perspective of congestion is presented to promote the development of traffic video analysis. Our main contributions are threefold: a) An unified and quantifiable definition of congestion is proposed to describe the traffic state in video. b) Based on the definition, a congestion dataset which contains multiple traffic scenes is constructed as a platform for the research community...
Group detection aims to classify pedestrians into categories according to their motion dynamics. It's fundamental for analyzing crowd behaviors and involves a wide range of applications. In this paper, we propose a Anchor-based Manifold Ranking (AMR) method to detect groups in crowd scenes. Our main contributions are threefold: (1) the topological relationship of individuals are effectively investigated...
Wide bandwidth for an air-coupled piezoelectric micromachined transducer (PMUT) is important to achieve short pulse transmission and reception in pulse-echo imaging with high axial resolution. Here, we report experimental results on an air-coupled PMUT with high displacement sensitivity up to 5500 nm/V, high 3 dB bandwidth of 20.3 kHz, and correspondingly short transmission time of 0.05 ms, achieved...
This paper presents a novel piezoelectric micromachined ultrasonic transducer (PMUT) based on mechanical coupling between a center circular resonator and an outer annular membrane. Compared to traditional circular membrane PMUTs, the design has the advantages that (1) it allows the PMUT diameter to be matched to the acoustic wavelength (λ=190μm at 8MHz) to enable high fill-factor arrays and (2) it...
Gossiping (all-to-all broadcast) is one of the important tasks in network communication. Most researches on gossiping focus on the transmission energy consumption problem. However, in military and other special applications, the latency performance is a more important indicator. In this paper, we consider the gossiping with multi-beam directional antenna model, and fixed size packet model. A centralized...
In this work we enhance our previously developed analysis method of provoked emotions in facial expressions through the analysis of physiological data. The presented work describes the integration of electrodermal activity, respiration and temperature sensors to enhance our exergaming system for emotional provocation. The combined analysis of facial expressions and physiological data is designed to...
Clustering is an unsupervised learning approach that explores data and seeks groups of similar objects. Many classical clustering models such as k-means and DBSCAN are based on heuristics algorithms and suffer from local optimal solutions and numerical instability. Recently convex clustering has received increasing attentions, which leverages the sparsity inducing norms and enjoys many attractive...
Compared with the conventional amplitude phase modulation (APM), spatial modulation (SM) is a low- complexity, yet energy-efficient transmission technique, whereby transmit antenna (TA) indices are utilized to convey the information. However, the number of the required TAs grows exponentially with the number of transmitted bits, which leads to unacceptable pilot overhead for channel estimation in...
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