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Areas along the mainstreams of the Yangtze River are the largest inland industrial districts and manufacturing industry bases in the world, which have played an important and strategic role in China's social and economic development. Moreover, Hubei Province is in the center of the whole Yangtze River Economic Belt, it is an important foundation to achieve the nationwide regional division of labor...
In order to get an efficient image multi-scale geometrical representation, the basic principle of tetrolet transform is studied. Tetrolets are Haar-type wavelets whose supports are tetrominoes which are shapes made by connecting four equal-sized squares. Tetrolet transform is divide the image into 4×4 blocks in the horizontal and vertical direction, there is no overlap between the sub-blocks. Because...
One of the most challenging problems in aerospace engineering is the analysis of the separation trajectories by which a missile ejected from an aircraft. The attitudes of some static unstable missile are divergent quickly due to aerodynamic interference by the aircraft. Therefore, it is disadvantageous to missile's separation from aircraft safely. The attitude control strategy must be applied to avoid...
The fast growth of surveillance video big data presents great challenges to the video coding technology. Most existing video coding techniques target for visual quality optimization, while the ultimate utility of surveillance videos mainly lies in intelligent analyses, e.g., pedestrian detection and vehicle tracking. In view of this, we aim at proposing an efficient, standard-compatible and simultaneously...
Variables in chemical process are mutually affected and chemical process failures are often caused by the chain effect of a number of variables, so some minor changes in variables can often lead to an unknown fault. In this paper, the multivariable correlations are studied from the perspective of the whole process, and PCC (Pearson Correlation Coefficient) is used to calculate the correlation coefficient...
This paper presents a novel wheel-track-Leg hybrid Locomotion Mechanism that has a compact structure. Compared to most robot wheels that have a rigid round rim, the transformable wheel with a flexible rim can switch to track mode for higher efficiency locomotion on swampy terrain or leg mode for better over-obstacle capability on rugged road. In detail, the wheel rim of this robot is cut into four...
Tracking single or multiple maneuvering targets is an urgent need for defense. In order to meet the military requirement, we propose a modified clustering-based Rao-Blackwellized particle filter (CBRBPF) to track single or multiple maneuvering targets with observations received by single or multiple sensors. The modified RBPF is basing on the clustering-based data association method. We partition...
Blockchain provides a new approach for participants to maintain reliable databases in untrusted networks without centralized authorities. However, there are still many serious problems in real blockchain systems in IP network such as the lack of support for multicast and the hierarchies of status. In this paper, we design a bitcoin-like blockchain system named BlockNDN over Named Data Networking and...
In this paper, dimensional analysis is adopted to study fluid flow distribution and temperature distribution in disc-type ON (oil natural) cooled transformer windings. Theoretical analysis on the thermal driving force and the pressure drop in the liquid circulation loop is also performed to determine the total liquid flow rate in the transformer. The thermal performance of three different liquids,...
Abstract-Internet of Things (IoT) is emerging as part ofthe infrastructures for advancing a large variety of applicationsinvolving connection of many intelligent devices, leadingto smart communities. Due to the severe limitation on thecomputing resources of IoT devices, it is common to offloadtasks of various applications requiring substantial computingresources to computing systems with sufficient...
With the proliferation of smart mobile devices (smart phone, tablet, and wearable), mobile crowdsensing becomes a powerful sensing and computation paradigm. It has been put into application in many fields, such as spectrum sensing, environmental monitoring, healthcare, and so on. Driven by promising incentives, the power of the crowd grants crowdsensing an advantage in mobilizing users who perform...
This paper presents a novel class H power amplifier aiming for audio applications on battery-powered electronic devices. The power supply of the amplifier is adaptively adjusted to track the instantaneous input signal amplitude for higher power efficiency. By embedding audio input signal amplitude information into the class AB amplifier’s output common-mode voltage level, the amplifier is able to...
Cloud computing has emerged as a powerful and elastic platform for internet service hosting, yet it also draws concerns of the unpredictable performance of cloud-based services due to network congestion. To offer predictable performance, the virtual cluster abstraction of cloud services has been proposed, which enables allocation and performance isolation regarding both computing resources and network...
This paper presents a DC-link voltage fast control strategy for high-speed Permanent Magnet Synchronous Motor/Generator (PMSM/G) of Flywheel Energy Storage System (FESS) to ensure fast dynamic performance within its wide operation range. Instead of the conventional strategy with cascaded outer DC-link voltage loop and inner current loop, the proposed strategy is a direct voltage control (DVC) strategy...
Smart grid facilitates reliable and efficient power generation and transmission by integrating information and communication technologies. By collecting users' power demands in advance, the control center (power operator) can adjust the amount of electricity generated to reduce the excess power, which can increase the profit of the power operator. However, on the one hand, user's privacy becomes a...
Studies on nowadays human-machine interface have demonstrated that visual information can enhance speech recognition accuracy especially in noisy environments. Deep learning has been widely used to tackle such audio visual speech recognition (AVSR) problem due to its astonishing achievements in both speech recognition and image recognition. Although existing deep learning models succeed to incorporate...
Paraphrase identification is a fundamental task in natural language process areas. During the process of fulfilling this challenge, different features are exploited. Semantically equivalence and syntactic similarity are of the most importance. Apart from advance feature extraction, deep learning based models are also proven their promising in natural language process jobs. As a result in this research,...
Relative hovering of spacecraft is a new type of close-proximity operation. This work deals with the body-fixed hovering over a tumbling object. Initially, the dynamics of the virtual hovering point over the tumbling object in local-vertical-local-horizon(LVLH) frame is derived with considering the rotation of the object. Then, the body-fixed hovering control is converted into an optimal tracking...
Fast data analytics at an increasingly large scale has become a critical task in any Internet service company. For example, in Baidu, the major search engine company in China, large volumes of Web and business data in PB-scale are timely and constantly acquired and analyzed for the purposes of evaluating product revenue, tracking product demanding activities on market, predicting user behavior, upgrading...
Automating medical diagnosis is an important data mining problem, which is to infer likely disease(s) for some observed symptoms. Algorithms to the problem are very beneficial as a supplement to a real diagnosis. Existing diagnosis methods typically perform the inference on a sparse bipartite graph with two sets of nodes representing diseases and symptoms, respectively. By using this graph, existing...
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