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Search on encrypted data is a method that can effectively search over ciphertext of data stored in the untrusted database and return correct results to querier, such that the querier can correctly decrypt the results. A well-defined search scheme on encrypted data is required not only to ensure the correctness of query results, but also to protect the privacy of the query message, i.e., the server...
Different services are transmitted separately by independent communication networks in existing urban rail transit system, and most of them are adopting WLAN (Wireless Local Area Network) technologies. To transmit the service in single radio access network, An integrated TD-LTE based train ground radio communication system for the metro system (LTE-M) is designed and built on the ring rail line in...
Based on an introduction of a haze monitoring system consisting of a single chip microcomputer, a dust sensor and a liquid crystal display, haze detection results were classified, sorted, and displayed by the display module. Besides, air pollution levels were broadcast to give travel advice, thus reducing the influences of haze weather on people's health.
In an earlier paper the authors presented an extended model of the enterprise using a multi-disciplinary approach grounded in enterprise architecture thinking. In this paper, the authors carry forward these concepts to undertake a broad analysis of the integration needs of the enterprise through a very wide lens at the level of the enterprise and beyond, and driving out insights that surface through...
In the service oriented, customer experience centric and customer changing demand driven market environment, ICT is becoming the leading enabler and partner of the modern enterprise business. More and more companies are transformed into more or pure digital style and virtual organized enterprises that are enabled and supported by a group of business oriented and microservice based applications and...
Liquid state machine (LSM) is a recently developed computational network model based on spiking neural network (SNN), whose elements and structure are highly inspired from real biological neural network. However, the reservoir in most existing LSM is essentially a recurrent spiking neural network with a random synaptic weights and almost identical neural elements, which is in contrast to the behavior...
The image's histogram represents the statistical feature of distribution of pixels and is not related to the specific positions of pixels. This feature gives histogram-based algorithms the ability to resist geometric attacks, but the embedding capacity is limited. In this paper we combine two typical histogram-based functions and give two relationships to three bins in a group. So the embedding capacity...
The backward interpolation approximation scheme of first-order differential based on Lagrange interpolation method is derived in this paper. According to the idea of Lubich, the approximation formula of first-order differential can be extended to fractional differential. The high order numerical approximation scheme of Riemann-Liouville fractional differential is obtained and the two order backward...
This work analyzes one kind of linear quadratic (LQ) stochastic control problem. The controlled system in this paper is described by a linear FBSDE driven by Lévy process. We prove the existence and uniqueness of the explicit control for this control system, and finally get the explicit form of the optimal control by one kind of generalized Riccai equation. In the end, we give a simple control system...
Topic models such as LDA have been widely used to capture latent topics in textual collections. Due to the large scale of data, researchers begin to pay more attention to speed up the efficiency of LDA Gibbs sampling by parallel inference algorithms or distributed computing. In this paper, we improve the traditional Approximate Distributed LDA (AD-LDA) algorithm by introducing weighted factor during...
Plenty of data are generated from sectors such as industrial manufacture, financial service, e-commerce, satellite remote sensing, sensor network and so on. Normally these data are often with time tags, which are called as time series steams. In this paper sliding window is used to limit the time series data; pretreatment process proceeds linear approximation to the sequences; the sequences after...
The users wish to search for fewer data sources and retrieve better quality results, so the data source selection becomes the core technology in the deep web data integration. In the data source selection, it normally considers both the data source correlation to the user's query and the document content duplication. We propose a new two step data source selection strategy by first ranking on data...
For the lacking of inspection method, the transportation data standards are compiled weakly in the process of transportation information system developing, which increases the difficulty of data sharing and exchange. In order to improve the conformance of data with the standards of transportation information systems, a method named “data standard conformance inspection” is proposed in this paper....
Internet of Vehicles, an emerging industry, is being gradually popularized and applied. This paper is to propose a new construction method to neural network ensembles that based on the key technology to multi-sensor data fusion of Internet of Vehicles system, which is an effective solution to the problems such as the information collection about vehicle traffic. Training a group of neural networks...
Strong non-linearity and hysteresis can be detected in the phase transition process of shape memory alloys (SMA). Furthermore, because of the increasing driving frequency, the SMA driver's driving performance changes gradually leading to time variability. To cope with that, this paper designs a fuzzy controller for the nonlinear system which has better control performance and robustness. Experiments...
We propose a design of visible light communication which is based on the white LED power source. The design possesses effective software flowchart and the optimized circuit of the hardware modules which include power supply, signal amplification, LED driver, Audio signal transmission, Audio signal reception, filter and amplifier and Audio output. The testing of the design shows our system can realize...
The research and development of intelligent interaction service robot become popular these years. Human-robot interaction play an important role in service robot as the intelligent behavior is natural way that people communicate with robot. This paper presents Xinxin, an intelligent interaction service robot designed as receptionist, partner and a mascot of 120th anniversary of XJTU. The robot combines...
The electronic power transformer has been used widely in power system, electronic power transformer in parallel operation can help to improve power system reliability and capacities. In this paper, the typical control strategy of parallel operation is further discussed. Based on adjusting characteristics of active power and inactive power, the model is built using MATLAB/Simulink. typical operating...
As a visual modeling language, UML improved the software developing progress by object-oriented thinking, which solved many problems that existed in the traditional developing methods. A model of P2P file shared system based on UML was given in the article. In the requirement analysis stage, the users' requirements were captured by use cases, and the system functions were described. In the system...
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