With the explosive growth of the internet, XACML policies have grown rapidly in size and complexity, and the efficiency of ABAC decision-making is unable to meet people's increasing demands, so this paper serves to solve this problem by providing a model based on an ACO algorithm. The model first divides...

In the moving sensor network, the direct positioning method (DPD) can greatly improve the positioning performance of the system, but it also brings the problem of high computational complexity and poor stability of the algorithm. In this paper, a distributed fast DPD algorithm based on time-frequency...

In the study for the prevention and the control of breast cancer, using mobile devices to design questionnaires and applying models to screen out high-risk groups has great signifi-cance. However, some existing models are not suitable for the Asian women. In this work, we proposed an ISE algorithm to...

Carrier acceleration is an important factor that influences the solution of the gravity anomaly in airborne gravimetry. The development of the airborne gravimetry has put forward a higher requirement to carrier acceleration. Considering the complex case of high-flying carrier in airborne gravimetry,...

In this paper, a novel hybrid algorithm is proposed to solve the security problem of image information, which is on the basis of gray DES algorithm and Fibonacci p-code algorithm. Then, using self-reverse matrix to improve the Fibonacci p-code encryption algorithm and combing it with Gray DES algorithm...

In the Computer Based Interlocking (CBI) System of railway stations, the route search sub-module is one of the most important components, since its operating efficiency, reliability and safety can directly ensure the safety of train routes and shunting routes. This paper took an actual layout of railway...

The automated warehouse built in many enterprises still need through manual intervention or random allocation method for distribution of goods allocation. This distribution does not guarantee that the utilization rate of warehouse is high, especially when more types and a large number of goods, need...

It is difficult to effectively extract costume elements from the national costume image because the structure of costume images is complex and the gray distribution is irregular. Therefore, in this paper, a novel algorithm was proposed for the extraction of the elements using the mathematical morphology...

As to the outdoor real-time change has a bad influence on the obstacle detection and avoidance for UAV with monocular-version, this paper propose a moving obstacle detection algorithm based on three frames subtraction with adaptive iterative threshold and optical flow. Based on improved three frames...

In this paper, a universal method is proposed for intelligent judgement, which relies on feature vectors representing each case to enable intelligent judgement via machine learning algorithms. The process to extract feature vectors consists of three main steps: modeling the case, building feature words...

The most significant feature of the decision tree algorithm is to transform the complex decision-making process into a number of simple decision-making processes and then accumulate it. It's a tree structure similar to the flow chart. The decision tree can be applied to the fault diagnosis of wind turbine...

Aiming at the problem of automated guided vehicle path planning in storage system, this paper provided a new method which combines global path planning algorithm and local path planning algorithm to achieve the goal of finding the optimal path. In this paper, the improved A* algorithm is used as the...

Electricity price forecasting is a relevant yet hard task in the field of one step time series forecasting. A new approach called Pattern Sequence-based Forecasting (PSF) shows a remarkable improvement in the time series prediction. The PSF consists of four steps: clustering, extraction pattern subsequence,...

Agent collaboration is a fundamental part of multi-agent systems when an agent cannot accomplish a task by itself. Such collaborations are usually regulated by commitment protocols, which are typically defined at design-time. However, in many situations a protocol may not exist or be predefined at design-time...

A new type of Programmable Synergetic Controller (PSC) is introduced in this paper. The synergetic tasks can be transmitted rapidly and efficiently each other by it's embedded concurrent multiple communication modular with the streamlined synergetic information coding system in this controller. According...

The rapid development of mobile application, this paper gives a test method to find the security issues in the with mobile application software base on code analysis. The paper analyzes the code features of Android application and proposes static test method for Android application. According to code...

The feature weight calculation is an important part of question classification, feature weights directly affect the accuracy of the classification results, the traditional TFIDF algorithm is widely applied in the field, but it ignores the relationship between features and classes. Therefore, this paper...

This paper demonstrates one smart hanger based on airbag inflation and fuzzy Self-adaptive PID method for intelligent garment inspecting system. To fully extend the garment to a proper position, one fuzzy Self-adaptive PID method is given to control the pneumatic motor by comparing the feedback value...

In this paper, the system identification method to Hammerstein model is studied. Considered that the identification accuracy of the standard particle swarm optimization (PSO) is limited and the local optimal problem is easily occurred at later stage, the standard PSO and its initial value setting is...

Multi-label classification is an important area of data mining, in where decision tree is one of the effective means to solve the problem. It faced a huge challenge of performance caused by large size of data. First, we translate the multi-label classification to several binary classifications. Then...

During the multi-station TDOA Localization, instable or divergent positioning evaluation result, even invalid situation will occur caused by unreasonable sensor allocation, and analyzes the causes of ill-condition in traditional TDOA localization algorithm Therefore, this paper puts forward a kind of...

Genetic Algorithm which has certain ability to learn is an ideal tool to solve the complicated problems. Genetic Algorithm follow the Darwinian evolution, the model N-Queens is classic NP problems the problem scale is exponential growth with the growth of queens. So it costs a mass of time to solve it...

A lot of proximity related Bluetooth applications, such as Bluetooth indoor positioning/navigation and proximity detection, has emerged on market by using Received Signal Strength Index(RSSI). One of the key technology in these application is to estimate distance between Bluetooth devices. In this paper,...

Constraint satisfaction problem (CSP) can be widely applied in many areas. This paper investigates the maximum restricted path consistency algorithm. There is a large quantity of useless checks in the process of searching for a PC-support with the most popular algorithm lmaxRPC3rm. Since lmaxRPC3rm has...

Fountain code uses randomized coding to ensure the reliability of data, the paper uses the randomized coding of fountain code to enhance the security of encryption algorithm. FEA is a symmetric encryption algorithm, and its keys-lengths are variable and expansive to meet users' requirement with the setting...

When designing barrier tolls, the shape, size and merging pattern need to be taken into consideration. Besides, the safety codes and standard of accident prevention and throughout capacity must be met while the development and operating costs should be kept as low as possible. Six major factors impacting...

Multi-variant screws are a kind of complex screws with two or more variable parameters, such as the lead, diameters, groove depth and edge width. These screws are increasingly used in machinery to compress, transfer, or process materials in many industries, and their sophisticated geometry plays a crucial...

With the continuous construction of smart grid, power companies produce, transport, sales and management and management have a mass storage, heterogeneous forms, real-time processing of large amounts of data. How to make full use of and analyze these data, rapid access to valuable information of current...

Data analysts use big data processing technology to analyze rich content and find statistical law. The demand for analyzing data is soaring. This paper designs a visualization big data workflow scheduling platform. It can simplify processes of analyzing data via using user interfaces to edit workflow....

In view of the inefficient query efficiency of mass monitoring data in distribution network, a new method for fast querying large data applications with rich network is proposed. Using the MPP query engine, the distribution data is embedded into the network monitoring interface, and the asynchronous...

Traffic classification is currently a significant challenge for network monitoring and management. Feature selection based on machine learning is an effective method to realize dimension reduction and decrease redundant information. To classify traffic flows with better performance, we put forward the...

In order to improve the mechanical structure of the type of fault resolution precision high voltage circuit breaker spring mechanism, the paper analyzes the characteristics of the circuit breaker and the combination of mechanical vibration signal PSO algorithm (PSO) SVM parameter optimization method...

With the development of industrial process control, more and more data need to be exchanged among industrial process controllers. Based on analysis of advantages & shortcomings of existing data sharing schemes among industrial process controllers, a new high-efficiency scheme is provided in this paper....

In this paper, a TDOA (Time Difference of Arrival) and DOA (direction of arrival) combined passive location system with two stations is studied. The location of a target can be confirmed from the intersection of the hyperbolic curve defined by the TDOA and the direction ray defined by the DOA. A noniterative...

the social networking, network monitoring and financial applications have a need to query high rate streaming of XML data, but previous methods for executing XPath queries on streaming XML data have not kept pace with multicore CPUs. Data parallel query methods can improve processing efficiency by using...

Utilization of window functions and interpolation algorithms for Fast Fourier transform can effectively restrain the spectral leakage and picket fence effect in situation of non-synchronized sampling and non-interger cycle truncation. In this paper, an improved FFT approach for harmonic based on Nuttall...

In the process of daily electricity production, the data of geo-information resources of power grid equipment is basically collected by the field site staff. Currently, the main problem is how to use advanced information communication measurement technology to support and improve the accuracy and efficiency...

To improve location accuracy, a single-step localization algorithm by double fixed station, using the thought of "signal to position" is proposed to solve the problem of two-step conventional method's information loss, since two-step conventional method divides in estimating intermediate parameter and...

In the context of the research of fire location of forest fire, based on the existing two-dimensional data of the camera, a new method is proposed. This method improves the accuracy of the monocular distance measurement system by adding a dimension of information. Through the gray scale projection electronic...

Aiming at the security issues in outsourced databases about data confidentiality and integrity, this paper proposes a key management scheme which is safe and effective based on NTRU (Number Theory Research Unit) signature technology. Firstly, according to the structure of the data table, the attribute...

In this paper, inspired by ReLu and Softplus activation function, we propose two improved models of GRBM, called SPC-GRBM and RPC-GRBM, to obtain better recognition results. Different from the traditional activation-function-improved models, SPC-GRBM and RPC-GRBM focus on the visual layer activation...

Virtual battle environment is an important visible platform for combat simulation. There-dimensional scene simulation is a basic part of virtual battlefield environment. Researching on application of unity3D in virtual battlefield environment is very meaningful. In the paper, involved subjects of there-dimensional...

Indoor-Outdoor scene classification problem have been proposed for almost 20 years and widely applied to general scene classification, image retrieval, image processing and robot application. But there is no consensus on one particular scene classification technique that can solve the Indoor-Outdoor...

this paper hopes to find a planning algorithm for puzzle which is not based on search. The main idea is using the method of reducing dimension to decompose the puzzle. Firstly, we defined the jigsaw puzzle as discrete state space, and provided the functions of action space generation and state transformation;...

Dyslipidemia AS one of the most important risk factors, with a variety of CAD and other AS sex of CVD occurrence is closely related to the oxidation of lipoprotein also plays a key role in the patients. A large number of research confirmed that high. X - LDL and ox - Lp (a) level is AS strong risk factors,...

Dempster Shafer evidence theory, as an uncertain information fusion technology, is widely used in various fields of information fusion. However, when there is a highly conflict between two pieces of evidence, counterintuitive results are obtained by classical Dempster's combination rule. Therefore, it...

the paper presents a virtual acupuncture system which uses digital virtual human model to carry out the virtual acupuncture experiments by using natural gesture and force feedback. In the paper, five Leap Motions are employed to measure the position and orientation of the operator's hand. Due to the...

Find out the potential favorite data is the essence of recommendation techniques, which facilitates the recommendation techniques become a vital issue in the big data researches and applications. The traditional recommendation research and application centers on the commercial items and resources. We...

The purpose of this study is to design a 3D navigation strategy with 2D ultrasonic images, with the assumption that the internal target trajectory could be evaluated with extern surrogate signals. This paper first proposes a simple 3D navigation strategy and then designs a fast tumor tracking system...

A training system for speech disordered children is presented in this research. The core technology includes face tracking and speech recognition, which are supplied by Intel RealSense SDK and its relative hardware, such as 3D camera F200. The system consists of the pronouncing learning module and the...

Atrial fibrillation (AF) is one of the most common arrhythmia in clinical, which is the major cause of embolic events and stroke, resulting in an important morbidity and mortality. The mechanisms leading to AF are still under extensive research. In this study, we present a novel complex network approach...