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Predicting the gap between taxi demand and supply in taxi booking apps is completely new and important but challenging. However, manually mining gap rule for different conditions may become impractical because of massive and sparse taxi data. Existing works unilaterally consider demand or supply, used only few simple features and verified by little data, but not predict the gap value. Meanwhile, none...
The design of lever amplification mechanism plays the crucial rule in the performance of double-feet piezoelectric linear motor which is based on the lever amplification principle. The kinematic principle of double-feet piezoelectric linear motor based on the lever amplification mechanism was analyzed and the dynamic model of the lever amplification mechanism based on the flexure hinge was established...
As an important part of artificial intelligence, expert systems have widely used in the field of mechanical fault diagnosis. But with the development of the large data and cloud computing, some systems' hardware scale have inflated, which makes the energy consumption become a problem to be solved in the expert system. However the traditional database system is hard to satisfy the semantics need of...
The distributed asynchronous passive filtering problem is studied for nonlinear Markov jump systems subject to packet loss. In the distributed case, the asynchronous phenomenon between the filters and system, which is more complicated than the common ones, is handled by introducing a mutually independent Markov chain. A sufficient condition for passive performance is proposed for the filtering error...
For the random arrival tasks, maximum of the social welfare by allocating the VMs in private cloud is concerned in this work. The model of VMs allocation online mechanism is built, which is single-valued, non-parallel, and preemptive. A preemptive online mechanism is proposed, the truthfulness is proved, and the competitive ratio is given in a simple situation. Many simulations are implemented using...
Quench detection and protection of superconducting coil is an important subject of superconducting power technology practical application, in order to detecting the superconductor quenches signal quickly and accurately, on the basis of the existing super voltage loss test, this paper put forward a kind of microvolt dc voltage signal detection amplifier for superconducting motor rotor, through using...
The energy-saving Copper-clad Aluminum busbar is an new-type power transmission line, which has been used in many industry fields, such as power grid, petrochemical industry, metallurgic industry. It has the characteristic of energy-saving, material-saving, safety-operating. The new type busbar is composed of copper pipe and aluminum pipe. This paper is aim to study the best proportion of the thickness...
Aiming at overcoming the shortage of high cogging torque in flux-switching permanent magnet machine (FSPM), a novel coaxial double flux-switching permanent magnet machine was proposed. The electromagnetic characteristics of the machine, including flux linkage, back EMF, cogging torque, static torque, are studied by means of finite element method in this paper. The study results of this paper show...
Switched reluctance machine (SRM) and flux-switching machine (FSM) with segmental rotors are different in winding patterns and control strategies. The electromagnetic characteristics of the two machines, including magnetic field, static torque, torque ripple, iron loss and efficiency, are compared by means of analytical calculation and finite element method in this paper. The analytical results of...
GridKa School is an annual international computing school hosted by one of the largest scientific data centers in Europe. Adopting its computational resources and expert knowledge for the educational purposes, GridKa School provides excellent possibilities to gain the skills on the deployment and application of advanced software tools and techniques. This paper describes the unique concept of the...
Domain knowledge bases are a basis for advanced knowledge-based systems, manually creating a formal knowledge base for a certain domain is both resource consuming and non-trivial. In this paper, we propose an approach that provides support to extract, select, and disambiguate terms embedded in domain specific documents. The extracted terms are later used to en-rich existing ontologies/taxonomies,...
China Open University system, as an exclusive university organization that is specialized in distance open education in China, adopts the network teaching way, and whose teaching network covered the whole country, so the system's teaching quality is increasingly attracting attention, and the teaching reform measures used to improve the teaching quality also have been taken. Apparently, utilizing data...
This paper proposes a model to investigate the mode (signalized, one-way separation overpass or two-way separation overpass) of each intersection in a congested road network. In the proposed model, the interaction between intersection modes and travelers' route choices is explicitly considered, and the traffic signal parameters (signal cycle time, green time) and vehicle delays at the intersections...
It is demanding to develop a fast and precise data processing technique for high resolution infrared thermal images. In this paper, a novel algorithm is proposed, which provides an effective way to improve the precision and computing speed for processing of thermal image data, in this paper. Firstly, the algorithm will sort the thermographic sequence data in space by using image segmentation method...
With the large amounts of information associated with the Initial Public Offering (IPO) process, an intelligent tool is needed for assisting the decision-making activities for both the investors and the underwriters. Even though a large body of related studies exists in extant literature, minimum attention has been devoted to the aspect of understanding hidden semantics within the informative contents...
The data sets produced in our daily life is getting larger and larger. How to manage and analyze such big data is currently a grand challenge for scientists in various research fields. MapReduce is regarded as an appropriate programming model for processing such big data. However, the users or developers still need to efficiently program appropriate data processing actions related to their analytics...
SLA is an important guarantee for carrying out cloud services in complex cloud computing environment and the rule of SLA violation compensation can restrict the behaviors of service providers. A variety of possible SLA violation compensation forms are analyzed and the form of mechanism in which service providers report the compensation will is studied in this paper. Based on mechanism design theory,...
Remote Sensing (RS) data processing is characterized by massive remote sensing images and increasing amount of algorithms of higher complexity. Parallel programming for data-intensive applications like massive remote sensing image processing on parallel systems is bound to be especially trivial and challenging. We propose a C++ template mechanism enabled generic parallel programming skeleton for these...
The RIVER architecture is a run-time configurable and programmable fabric for parallel stream processing on FPGAs. RIVER's memory architecture has been designed to support non-trivial data flows efficiently and in real-time. The individual data processing cores are called Dynamic Streaming Engines (DSE). Our cloud computing supported design flow generates hundreds of thousands different DSE cores...
Recently, the computational requirements for large scale data-intensive analysis of scientific data have grown significantly. In High Energy Physics (HEP) for example, the Large Hadron Collider (LHC) produced 13 petabytes of data in 2010. This huge amount of data are processed on more than 140 computing centers distributed across 34 countries. The MapReduce paradigm has emerged as a highly successful...
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