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There are data streams all around us that can be harnessed for tremendous business and personal advantage. For an enterprise-level stream processing system such as CHAOS [1] (Continuous, Heterogeneous Analytic Over Streams), handling of complex query plans with resource constraints is challenging. While several scheduling strategies exist for stream processing, efficient scheduling of complex DAG...
Communication between neighboring drivers on the road is critical for safe and smooth driving. Drivers currently communicate by sounding horn or blinking lights, which sometimes is too coarse-grain to precisely convey the message, i.e., it is not apparent who the target and what the intent of the message is. Towards a better alternative, we explore the possibility of utilizing the smartphones of drivers...
Wearable cameras, such as Google Glass and Go Pro, enable video data collection over larger areas and from different views. In this paper, we tackle a new problem of locating the co-interest person (CIP), i.e., the one who draws attention from most camera wearers, from temporally synchronized videos taken by multiple wearable cameras. Our basic idea is to exploit the motion patterns of people and...
Traditional Internet based on the IP routing has an innate deficiency when facing up with large numbers of concurrent distribution of video and other media content. Software-Defined Networking (SDN) and OpenFlow protocol try to improve data transfer efficiency and flexibility by separating the forwarding layer and control layer, and the content-based routing idea proposed by Content-Centric Networking...
Because of the various appearance (different writers, writing styles, noise, etc.), the handwritten character recognition is one of the most challenging task in pattern recognition. Through decades of research, the traditional method has reached its limit while the emergence of deep learning provides a new way to break this limit. In this paper, a CNN-based handwritten character recognition framework...
It is known that tumor cells can be suppressed by extremely low frequency magnetic field stimulation. However, the optimal field strength and frequency have not yet been fully determined. In this paper, an adjustable frequency and magnetic flux density for an extremely low frequency magnetic field stimulation system are proposed. Additionally, a new planar stimulation coil with a printed circuit board...
It is inevitable for power transformers to suffer multiple impacts of short-circuit (SC) current and huge dynamic electromagnetic force in service which may cause large elastic and plastic deformations. Under the SC fault, the distribution of flux leakage and the amplitude of electromagnetic force may be disturbed by deformations. This paper analyzes the cumulative strain-stress characteristics inner...
Rectifier transformer is typical ac-dc converter for improving power quality by reducing the harmonic in ac mains and ripples in dc output. The design of rectifier transformer is difficult because it originates from the experience of designers. So a designer who is lack of experience would result in a waste of material and cost. In order to reduce the manufacturing cost of rectifier transformer, this...
It is important to optimize the parameters of the eddy current coil in order to improve the accuracy of coin identification. In this paper, a new planar eddy current excitation coil and an array of planer eddy current receiver coil were proposed. A simulation model was developed to validate the performance of new planar eddy current coil system. It is showed that the proposed coil system has better...
A 3-dimensional electromagnetic-thermal numerical simulation of cold crucible levitation melting method considering surface-to-surface heat radiation is performed by adopting finite element method. Direct area integration method and hemi-cube method are adopted to calculate the surface-to-surface heat radiation separately. Results of considering surface-to-surface heat radiation are compared with...
In this paper the author designed a high-power and torque-limited electric wrench driver based on direct torque control, and hope that when the input is single-phase power frequency alternating current, the electric wrench can output limited torque by DTC according to the pre-set speed. And this electric wrench is able to limit the maximum torque and prevents the damage to the device. Also the electric...
Context: Software source code is frequently changed for fixing revealed bugs. These bug-fixing changes might introduce unintended system behaviors, which are inconsistent with scenarios of existing regression test cases, and consequently break regression testing. For validating the quality of changes, regression testing is a required process before submitting changes during the development of software...
This paper introduces a new method to solve the cross-domain recognition problem. Different from the traditional domain adaption methods which rely on a global domain shift for all classes between source and target domain, the proposed method is more flexible to capture individual class variations across domains. We propose to solves the problem by finding the compact joint subspaces of source and...
Traditional color feature descriptors are focused on color-value distributions in the color space, e.g., color histograms, color bag-of-words, which ignore the spatial location and contextual information of different colors. In this paper, a new regional color co-occurrence feature descriptor (RCC) is proposed to reflect spatial relations of colors in an image. First, we partition an image into a...
Many situations require two vector field measuring systems to work together, such as strap down navigation technology. Therefore, identify the spatial relationship between vector field measuring systems is a prerequisite for engineering applications. This paper deduces the relationship of two vector field measuring systems and proposes fitness function. Then use the self-evolutionary genetic algorithm...
This paper introduces self-learning mechanism into the basic particle swarm algorithm to present the improved particle swarm algorithm. The self-learning mechanism ensures that the particles can change their speed and positions base on self learning and the overall experience. The novel algorithm can dynamically increase the diversity of particle swarm offspring and reduce the human intervention in...
In this paper a hybrid robot is proposed used for the installation of a valve to prevent the oil blowout. The hybrid robot has three components, which are waist component, parallel mechanism component and wrist component. The wrist component of the robot is designed with RCC structure, which is beneficial to the installation of the valve. And the parallel mechanism component is mainly in charge of...
There is serious conducted electromagnetic interference (EMI) in the application of medium-power variable-frequency drive (VFD) systems. The EMI passive filters which can suppress the noise can make the VFD systems comply with the relevant electromagnetic compatibility (EMC) standards. In this paper, combined with the experiment and measuring experience in related subjects, it describes the proper...
In practical applications of document understanding, if the documents have multiple languages and orientations, the conventional OCR systems can not be directly applied. This is because those OCR systems are usually designed for texts of single language and normal orientation. To solve this problem, many non-character based recognition approaches were proposed. However, the performance of those methods...
Recently, the deep learning methods have achieved great success in pattern recognition tasks. Especially for character recognition, most of the state-of-the-art results belong to the deep learning models. Among those models, the convolutional neural network (CNN) becomes the most popular due to its outstanding performance. Therefore, many trials were made in order to make improvements on CNN. However,...
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