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We report a quartz-enhanced photoacoustic sensor (QEPAS) for nitric oxide (NO) detection using a mid-infrared fibercoupled quantum cascade laser (QCL) near 5.2 μm. The QCL radiation was coupled into an InF3 fiber (100 μm core diameter) for light delivery to the quartz tuning fork, a tiny piezoelectric element converting the acoustic wave induced mechanical vibration to the gas-absorption associated...
Testing FPGA switching characteristics on general purpose electronic test equipment(GPETE) test platform has much lower financial cost and more accessibility than testing on Automatic Test Equipment(ATE). However, when testing on GPETE platform, test accuracy is more easily influenced by device under test(DUT) board and test equipment, and some kinds of stimuli such as maximum frequency stimulus is...
Rehabilitative robot is a new technology that has been developed rapidly in recent years, especially for the exercise therapy. In this paper, a new design concept of lower limb rehabilitation robot has been proposed. This model can perform four degrees of freedom that is rotation in vertical planes. Its weight and size is acceptable for people to use in outdoors, and it is interactive friendly. Lower...
In this paper, an integral barrier Lyapunov function combined with the RBF neural network are introduced for a class of MIMO nonlinear systems with unknown nonlinearities. Under the premise of the system output and its first derivative of the time being measurable, by applying the integral barrier Lyapunov function, we have designed a controller based on the adaptive RBF neural network which uses...
This paper provides a complete solution for landing a quadrotor Unmanned Aerial Vehicle (UAV) on an Unmanned Ground Vehicle (UGV) in the outdoor environment. An image-based visual servo control law and a GPS-based navigation method are proposed, and the former method acquires the visual feedback from the camera attached to the quadrotor, while the latter strategy is used when the visual feedback is...
We conducted a field study to investigate the social acceptance of social robots by stores, particularly for attracting passersby, which today's robots can autonomously perform. From interviews with ten store managers, we identified two main reasons they want to employ such social robots in their stores: robots offer cheap labor and provide unique value that humans cannot. They believe that robots...
Magnetic resonance (MR) quantitative imaging such as parameter mapping has great potential in clinical applications. It requires acquisition of a sequence of images at different time points to extract the quantitative parameters. A practical challenge is the tradeoff between spatial resolution and acquisition speed. A number of methods have been proposed to address the challenge. In this paper, a...
In this paper, we propose a new reconstruction framework that utilizes nonlinear models to sparsely represent the MR parameter-weighted image in a high dimensional feature space. Different from the prior work with nonlinear models where the image series is reconstructed simultaneously, each image at a specific time point is assumed to lie in a low-dimensional manifold and is reconstructed individually...
Identifying the source camera of images is becoming increasingly important nowadays. A popular approach is to use a type of pattern noise called photo-response non-uniformity (PRNU). Despite that, the PRNU-based approach is sensitive towards scene content and image intensity. The identification is poor in areas having low or saturated intensity, or in areas with complicated texture. To solve the scene...
The dynamic spectrum access method based on human ear perception can keep the quality of analog signal in HD Radio (Hybrid Digital Radio) stable, but it takes too much time to meet the real-time requirement of Radio. This paper proposes a dynamic spectrum access method in HD Radio based on BP NN (Back Propagation Neural Network). In the method, the data of dynamic spectrum access method based on human...
Power system event data is an important guarantee of power systems' safe and stable operation, but research on power system event data is comparatively slow. COMFEDE has defined the description and exchange of power system event data as a format which is based on XML. This paper explains the language form and organizational structure of COMFEDE. According to power system event key factors and COMFEDE...
Electrocardiogram (ECG) is a fundamental and important noninvasive cardiac signal. In current decade, it has been popular to acquire and analyze ECG by wearable devices with main purposes of long-term monitoring and potential cardiac event prediction. In this study, we aimed at developing a real time and accurate R peak detection method which may be useful for ECG analysis in the wearable devices...
The main achievements of fuzzy control theory, artificial neural network and expert system used in Power Systems like automatic generation control, load frequency control, fault diagnosis, electricity load forecasting, transient stability assessment, transformer fault detection are surveyed in this paper, and certain problems to be solved are proposed simultaneously.
This video reports our research on developing a model for a robot handing flyers to pedestrians. The difficulty is that potential receivers are pedestrians who are not necessarily cooperative; thus, the robot needs to appropriately plan its motion making it is easy and non-obstructive for potential receivers to receive the flyers. In order to establish a model, we analyzed human interaction, and found...
Since the Shanghai and Shenzhen stock exchange established for thirty years, our capital market has been booming and provides strong support to the listed company. However, because of the competition environment of market economy becoming more and more fiercely, more and more listed companies are faced with serious financial risk. This situation not only affects the normal development of the capital...
To meet the need of high performance and high efficiency, cascaded H-bridge grid-connected PV inverter is investigated. The cascaded multilevel inverter features several advantages such as lower voltage harmonics, smaller filters, reduced switching frequency, and the capacity to solve the problems of the partial shades and the mismatching of photovoltaic array, all of which is able to improve efficiency...
The prediction strength of cement is an important task in civil engineering. In this study, the support vector machine (SVM), a novel type of learning algorithm based on statistical theory, has been used to predict the 28d strength of cement. The seven input variables used for the SVM model for prediction of strength are content of slag, SO3 content, cement fineness, 1d compressive strength and folding...
The paper based on China's current situation, analysts that China's export-oriented economy is facing trade protection, high energy consumption, high resource consumption, environmental damage and a series of ecological problems, which do a great harm to China's sustainable economic growth. Low-carbon economy characterized by low power consumption, low pollution and low emissions will be a breakthrough...
DS evidence theory is a hot topic in multi-sensor data fusion because of its advantages in multi-source information presentation and processing. Considering the difficulties of sensor reliability priority information acquisition, how to compute reliability of sensor via the evidence distance in multi-sensor data fusion system and how to select consistent evidence for combination via the evidence distance...
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