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Aircraft infrared radiation characteristic is the important basis of penetration performance evaluation. When we use ground-based infrared radiation measurement system test aircraft in the out-field, goals are often in the clouds, the clouds of infrared radiation absorption and scattering makes the transmittance and background luminance change, which aifect measurement accuracy. Radiative transfer...
The ability to ask questions is a powerful tool to gather information in order to learn about the world and resolve ambiguities. In this paper, we explore a novel problem of generating discriminative questions to help disambiguate visual instances. Our work can be seen as a complement and new extension to the rich research studies on image captioning and question answering. We introduce the first...
Visual object tracking is a fundamental and time-critical vision task. Recent years have seen many shallow tracking methods based on real-time pixel-based correlation filters, as well as deep methods that have top performance but need a high-end GPU. In this paper, we learn to improve the speed of deep trackers without losing accuracy. Our fundamental insight is to take an adaptive approach, where...
In this paper, we propose the first higher frame rate video dataset (called Need for Speed - NfS) and benchmark for visual object tracking. The dataset consists of 100 videos (380K frames) captured with now commonly available higher frame rate (240 FPS) cameras from real world scenarios. All frames are annotated with axis aligned bounding boxes and all sequences are manually labelled with nine visual...
In mobile communications, the wireless channel has been widely considered to be time-variant. To statistically model the time-variant channels, a power weighted dynamic multi-path components (MPCs) tracking algorithm is proposed in this paper, which is based on multiple-target tracking. The problem of seeking potential position is considered as a maximum a posteriori (MAP) estimation in a Markov random...
At present, machine learning is widely used for classification, such as automatic speech recognition, image identification, text classification and numbers of researches for fault diagnosis besides. Generally, most of the models used for fault diagnosis are based on the same data distribution, while the applications of the equipment in actual production and operation are mostly under unstable conditions,...
This paper presents a new wearable assessment system of sleep quality which is a combination of non-intrusive wear and smartphone programs. Based on a simple algorithmic analysis that can be performed quickly on smartphone and through the development of smartphone programs, it can display sleep levels in smartphones and help users simply understand their own sleep conditions. The experimental results...
In this paper, we develop a new approach of spatially supervised recurrent convolutional neural networks for visual object tracking. Our recurrent convolutional network exploits the history of locations as well as the distinctive visual features learned by the deep neural networks. Inspired by recent bounding box regression methods for object detection, we study the regression capability of Long Short-Term...
Using the sensor to monitor and to evaluate sports performance is a new trend in the future. The experimental results will be affected by the sampling frequency, placement of sensors, setting of the filter and instrumental correction, etc. This study is to explore the effect of different detection of position on swimming stroke. Methods: Three swimmers are participating in this research. Two inertial...
In recent years, playing somatosensory game is one of popular home entertainments. Many game companies design and develop lots of somatosensory games such as fitness games, sport games, and fighting games. We observe that to play somatosensory games, players have to buy specific devices or equipment (e.g., Kinect/XBOX or Wii). These devices and equipment are expensive, and a vast space is needed when...
This study addresses on the characteristics of electrolyte-insulator-semiconductor (EIS) sensors with the nanoscale patterns fabricated by nano imprint lithography (NIL). The proposed sensors with the nanoscale patterns, such as square and line, exhibited higher sensitivity and lower hysteresis than that with the conventional ones. For the proposed sensors, with the high surface-volume ratio of the...
The shape and color of visual identity are the most important factors in the visualization of trademarks, which exert a far-reaching influence on the establishment of corporate image and brand image. Under the impact of globalization, brands have become a major factor in keeping a foothold in the consumer market, and sales are no longer limited to certain regions. Today's ideological trend of design...
The successive approximation register (SAR) ADC is the most energy efficient architecture with moderate conversion rate and resolution. However, its comparator noise limits its resolution without sacrificing power efficiency. The delta-sigma modulator (DSM) is the most popular architecture for achieving high SNDR due to its oversampling, but the bulky operational amplifier (op-amp) makes it area inefficient...
Modern electron beam lithography (EBL) suffers from the long-range fogging effect which incurs undesired excessive exposure and thus layout pattern distortions. In this paper, we propose the first placement algorithm to tackle the fogging effect. The underlying idea is to place standard cells, guided by our efficient, yet reasonably accurate fogging effect model to minimize the fogging variation during...
In this paper, we propose a Reliable Semi-Supervised Learning framework, called ReSSL, for both static and streaming data. Instead of relaxing different assumptions, we do model the reliability of cluster assumption, quantify the distinct importance of clusters (or evolving micro-clusters on data streams), and integrate the cluster-level information and labeled data for prediction with a lazy learning...
Single nucleotide variants (SNVs) have been discovered that they play crucial roles in disease pathogenesis as genetic factors. Featured by analyzing multiple SNVs in a biological module (e.g. exon, gene, etc.) collectively, the joint-SNVs studies are increasingly attractive in genome-wide association studies (GWASs), for which extensive efforts have been devoted to pursue effective multivariate methods...
In the trend of Global financial crisis and oil price float, many countries begin attached great importance to relate the environmental pollution issues of the energy sources and global warming. Successively take action and laws with standards, so internationally attention to environmental protection and ecological and sustainable development. In order to help companies respond to consumer the market...
New unsaturated polyester (UP) reflector material has been developed for SMD LED application. In this study, the reliability performance of 0.5W and 1.0W PLCC3030 SMD LED with new developed UP reflector material and commercial reflector materials of epoxy molding compound (EMC), Silicone molding compound (SMC) and polycyclohexylene-dimethylene terephthalates (PCT), and polyphthalamide(PPA) were evaluated,...
The designing process of a ZigBee-Communication PCB (Printed Circuit Board) is presented. The layer-stack structure and through-hole structure for PCB via hole and pad are modelled firstly in HFSS simulation environment, and then the key designing parameters which affect the RF performance are identified and determined by simulation. The simulation result shows the PCB achieves 𢀒20dB return loss...
The high power technology is widely applied in satellite communication and military systems. Based on the theory of beam waveguide(BWG) as well as polarization wire grid, we presents a quasi-optical power synthesizer working at millimeter- wave band. The designed power synthesizer can make electromagnetic wave traveling in two different ways with orthogonal polarization directions and combine them...
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