Mining is a process of extracting potentially useful information from raw Data, so as to improve the quality of the information service. With the rapid development of the Internet, the size of the data has increased from KB level to TB even PB level; The object of data mining is also more and more complicated,...

Porch lamp control system is a very important part of the smart home system. The traditional light source control system is unable to control and adjust the color temperature of the light source. This design uses LED and solar porch lamp as the light source with STC15 Series MCU intelligent control unit...

The concept of interrogative semantic unit was proposed, recognition algorithm for interrogative semantic unit was provided on the basis of this concept, and question classification was carried out by combining interrogative semantic unit with HowNet. The test shows that this method obtains good classification...

A fault injection method based on SCADE was designed in this paper, which can simulate hardware failure in the form of software fault. Injecting faults into SCADE models brings forward fault tolerance testing to development phase avoiding the cost of changing fault-tolerant design by modifying the code....

Formal software safety verification is an important issue for on-board ATP (Automation Train Protection) system. A SCADE-based model safety formal verification method is designed in this paper. The extracted safety properties of ATP are expressed by formal automaton machine, which is an unambiguous semantics...

This thesis combines the extraction of geometric characteristics and the neural network, which supplies a method that can define the operating conditions relatively accurately through the diagram feature parameter of the rod pumping system pump and avoids setting up and solving complex nonlinear dynamic...

Modern distance education is a new way of education derived from the extensive application of new technologies. With the development of new technology & media, distance education is also developing. This paper goes as follows: firstly, introduce the concept of distance education and the importance to...

This paper introduced a type of maintainability verification method based on stratified random sampling, which improve the representativeness of the sample and the accuracy of final conclusions. Then deduced the method for determining samples quantity and test conclusions. Finally, take a certain type...

Image segmentation is an important problem in image processing. Existing methods have not solved this problem in some aspects. Alife is a new natural computing method with much good performance. We induce it into image segmentation and propose a novel Alife model Shape-Varying Agent (SVA). The new method...

In order to deeply exploit the knowledge hidden in the telemetry data and find out the correlation between the data, ID3 algorithm was used in the article to analyze the telemetry data of solar panel substrate. The information gain value of parameter was calculated and the maximum gain value is the split...

This paper analyses the Network Program Technique from the perspective of its principle and procedures of implementation as well as its merits and demerits, with the aim to solve the problem of overtime and overspend in software development, and provide the incumbent software developer with reference...

High space cost and ignoring synonyms in STC (Suffix Tree Clustering algorithm) are challenges for search results clustering. Aiming at these challenges, this paper proposes a WordNet-based suffix tree clustering algorithm (WNSTC). WNSTC can construct a suffix tree containing WordNet synsets. When constructing...

Facing hackers’ intelligent attacks and multi-source information from various security equipments, evaluating real-time risk of the network becomes more and more complicated to handle. This paper proposes a new attack graphs model(NAG)-based analysis method in order to assess the impact on the network...

Classification is an important task in data mining field. As the time of big data is coming, the traditional methods of classification cannot satisfy the requirements of real-time processing and storage for big data. This study firstly applies a machine learning technique called extreme learning machine...

Based on the theory of computer simulation and the theory of traffic flow, the urban intersection traffic microscopic simulation model is established. Besides, the simulation system is realized on the basis of this model and the object-oriented design. This system is implemented in the integrated development...

In Ad Hoc network, AODV routing protocol is an on-demand routing protocol of relative maturity and extensive application. Due to the fact that AODV routing protocol doesn’t consider the residual energy and the load situation of the nodes when choosing routes, its efficiency declines sharply in the case...

According to the independent research small Programmable Logic Controller based on ARM and FPGA, a miniPLC programming system is designed. LPC2478 and C/OS-II system are adopted as the platform’s core. Instruction List is adopted as the programming language. A new instruction system and its encodes are...

At present, university teachers’ professional title evaluation is still mainly based on the qualitative analysis in our country, having their limitation, for example low efficiency, tedious process, complex operation and so on. On the basis of the Learning vector quantization neural network(LVQ), a new...

With the rapid development of computer network technology and multimedia technology, in the intelligent home field, digitalization, network, multimedia and intelligent will become the inevitable trend of development. In the context of convergence of three networks, intelligent household demand for video...

MQTT (Message Queuing Telemetry Transport) is a broker-based publishing/subscribing, instant messaging protocol. It’s designed to be open, simple, lightweight and easy to implement. This paper described a method of pushing notification system based on the MQTT protocol. It can be used to solve the problem...

The paper introduces the data transmission system in the Petroleum Industry with the help of programming systematically. The wellsite data could be available for the usage of other Petroleum Service Departments by using this system. The perfection of Internet technology enables network programming to...

In order to develop Chinese student’s ability in reading English newspaper, the authors innovatively designed an internet-based teaching model for English newspaper reading course based on constructivism. Through a comparative study, the authors concluded that the new teaching pattern of English newspaper...

Name origin recognition is to identify the origin of a name. In natural language processing, information of name origin is an important feature for name entity translation and question answering. Language identification of the origins of names can help to know what language-specific transliteration approaches...

For depth information estimation of vision image, a blur parameter model of defocus image based on Markov random field (MRF) has been present. It converts problem of depth estimation into optimization problem. An improved chaos-PSO Algorithm has been applied to complete optimization problem, which prevents...

Fiber Bragg grating based ultrasound sensors has been receiving continuous attention from science and industry. It is of great potential in medical imaging, oil exploration, etc. In this paper, we construct an all fiber ultrasound sensing system with cascaded phase-shifted FBG and a normal FBG. Correlation...

As an important means of clinical diagnoses and treatment of liver diseases, CT scan of liver has been applied more widely. How to extract liver from CT image automatically and accurately is one of the hot topics in the field of medical image segmentation. Because of the diversity and complexity of medical...

Software Architecture; Software Safety; Safety Requirements; Safety Tactics

According to the disadvantages that calculation speed of traditional iris localization algorithm is slow and takes up much space. In this paper, we propose a new iris localization algorithm with an improved least squares fitting. Making use of the characteristics that gray value of iris image is difference...

According to national fitness knowledge and theory, combine module theory and Internet technology designed national fitness network consultation system. This paper makes explanation on design ideas, technology crucial, module and function design, working example of the system. This system can assess...

Edible oil quality is related to people healthy,existing technology can't realize the convenient and fast detection.This paper studied on the basis of the interdigital capacitance sensor,based on the dielectric constant measurement principle ,used to detect edible oil electrical parameter.Useing capacitance...

This paper presents an image mosaic algorithm and its application to the microimage of grass seeds. The following main steps are involved, firstly in the registration stage, the scale invariant feature transform (SIFT) is employed to obtain initial matches. Then the Random Sample Consensus (RANSAC) is...

In Bayesian network structure learning for incomplete data set, a common problem is too many attributes causing low efficiency and high computation complexity. In this paper, an algorithm of attribute reduction based on rough set is introduced. The algorithm can effectively reduce the dimension of attributes...

This paper introduces the sensors and their sensor technologies. The required attributes of sensors for the development for PHM of electronics are discussed. Finally, their trends in sensor systems are presented.

Phoenix is an implementation of MapReduce on shared memory, aiming at supporting parallel computing based on multi-core/multi-processor efficiently. The extremal graph is a graph with the maximum number of edges without some given subgraphs. In this paper, by allocating the data of tasks appropriately...

Currently RFID is a widely used technique in indoor location. Some related technology and algorithms using active tag for indoor location is studied in this paper. Based VIRE algorithm, an improved location algorithm is proposed by the introduction of a correction mechanism called recursive-calibrate...

This paper Introduced to a practical design method of video acquisition system. It took Zynq-7000 SoC platform's FPGA as the main control chip, OV7670 video sensor as the video source, initialized it by the Serial Camera Control Bus (SCCB) to achieve image acquisition and using edge detection algorithm...

According to the image processing theory, complex texture image regions have larger entropy values, an adaptive steganography algorithm in the sparse domain is proposed here. The algorithm first divides an image into nonoverlapping image blocks, then computes the entropy of each block and chooses the...

Our research purpose is abstracting computational model from the structure and function as well as collaboration among the biolo58gical cells. Quorum sensing P system means bacteria produce specific signaling molecules spontaneously and sense the change in their concentration. In this paper, we use multicompartmental...

D-S evidence theory is a kind of important method of data fusion to get accurate prediction. In this paper, we propose an improved method in which we build an experience-feedback mechanism for reasoning process. Then prediction accuracy is fed backed to a new round of fusion process in the form of weights...

Military information system has the tendency of larger scale, more complicated component, on the contrary of shorter and shorter developing cycle. Aiming at these, this paper puts forward an operational architecture modeling method based on DoDAF, and gives the detailed steps of operational architecture...

With the development of electronics, especially that of semiconductor, integrated circuit and computer technology, mobile communication has developed greatly. The rapid development of mobile communication makes people turned their attention to signaling system which has rich user personalization data....

Agility is arguably one of the most important characteristics of successful Information Age organizations. The study of agility organizations is currently one of the hottest topics in the organization study field. In this paper, we put forward an agile command and control (C2) organization model and...

Embedded Linux has a very wide range of applications, but also for the field of logistics information provides a powerful and flexible solution, this paper makes research on the key technology. First of all, research embedded Linux systems build, including the system components, the typical hardware...

Boiler system has the characteristics of high complexity, strong simultaneity, multiple measuring points, multiple faults, and the traditional fault diagnosis method can not meet the requirements. A fault diagnosis model based on fuzzy neural network is built by the combination of fuzzy logic technology...

In Ad Hoc network, AODV routing protocol is an on-demand routing protocol of relative maturity and extensive application. Due to the fact that AODV routing protocol doesn’t consider the residual energy and the load situation of the nodes when choosing routes, its efficiency declines sharply in the case...

In order to calibrate a wide-angle camera in real-time and find the precious position of the target object which could help the robot to find to location where they are, new method which uses the center iteration method and the regional interpolation method based on the distortion correction table is...

The current situation of college graduates employment is severe and complex, college  students entrepreneurship has attracted more and more attention, andonline entrepreneurship has  been a fashion but existing risks. This paper presents apattern and method of disturbing fuzzy  comprehensive evaluation method of collegestudents’ online entrepreneurship risk. For entrepreneurial risk are analyzed and the optimal discriminant, and finding the main factors that lead to risk so ...

This paper first introduces wireless sensor networks self-positioning classical algorithm DV-Hop (distance vector-hop) algorithm, then analyze its shortcomings, Finally, a new improved algorithm and through improved algorithm matlab simulation verify the situation after the positioning accuracy.Comparative...

Focusing on railway transport of molten iron in steel enterprise, this paper tries to meet the demand and supply of molten iron between blast furnace and steel mill through TPC (torpedo car) transport. Taking mill railway as a network, based on path selection of molten iron transport and automatic collision...

With the popularity of android smartphone and the increasing number of the vehicles the problems of obtaining real-time vehicle status information and historical trace information have attracted considerable attention. For these two problems, the vehicle monitoring system client running on android smartphone...

This paper defines an Out Of Play model based on Markov Decision Process. The best path for playing can be found and recommended by using this model, and a value iteration algorithm of Markov Decision Process is used to implement the model. In this paper, the implementation of this model with CPU is...

Clonal selection algorithm has a shortcoming when solving the problem of combinatorial optimization which is that the antibody diversity of population evolution declines in later stage. Therefore, this paper has improved the selection operator of this algorithm and introduced tabu criteria. What’s more,...

After the reform and opening up, China's market economy gradually recovered its prosperity, and information technology industry has also been developed following the reform. Till the 21st century the era of information explosion is formed and every industry cannot live without information management....

Since regression testing technologies are mainly for software systems, there are few research about the access detecting of the auto fare collection system in rail transit. This paper study the multi-level functional modeling, the source code importing of detected object, the historical test information...

To solve the problem of super-resolution reconstruction in the two-dimensional barcode image, this paper applies the technique of super-resolution reconstruction based on sparse representation into this area. Given the characteristics of the two-dimensional barcode image, this paper presents a new approach...

In order to realize massive information data mining, the traditional Apriori algorithm is updated into a Map/Reduce-based frequent itemsets generating method, so as to distribute the massive data into several servers for parallel processing. The construction of Hadoop platform helps to realize this method...

Electromagnetic wave propagation model needs to be corrected before it is used to predict wireless signal coverage. Control of the correction error will directly affect the accuracy of coverage prediction. A method to reduce the correction error is introduced in this paper. In this way, we carry out...

Gaining insight into human personality and its impact on human behavior is very valuable in many applications, such as web information credibility prediction. In this paper, we explore using weighted ML-kNN model for automatic recognition of personality traits of web users, based on a given composition...

In process of localization in wireless sensor networks (WSNs) to improve localization precision, lower network cost and reduce network consumption, mobile anchor node-based localization algorithms for WSNs are ceaselessly put forward and improved. In WSNs localization algorithm with a few mobile anchor...

A novel hyperspectral image classification method based on learned dictionary is presented in this paper. Firstly, the sampled image pixel and its classification vector are combined as sample pair. Secondly, defined as a sample vector, the sample pair are used for sparse coding and dictionaries learning....

Map matching is the key problem of floating car technology. On Shenzhen taxi GPS data pre-processing of the premise, using “Divide and Conquer”methodology for reference, the map matching algorithm based on nine palaces has been proposed, which can overcome the problem of low computing efficiency in common...

When develop a B/S management system for the LED lamp company, there are many data need analysis on WEB Page. How to directly display lamp energy consumption, we use OWC control to draw the picture. The experimental results prove that the method is simple, effective.