Neural machine translation has recently achieved promising results with the big scale corpus. But there is little research on the small scale corpus, such as Mongolian. Mongolian belongs to the agglutinative language while Chinese is a pictograph. It is necessary to do some pre-processing for both Mongolian...

Grades reflect how well you learnt in courses. This paper introduce a model to predict student grade-data with a refined K-means clustering algorithm. K-means clustering algorithm based on the normal distribution is proposed to overcome the flaws that caused by using Euclidean distance algorithm to measure...

The network in web has the characteristic of information roughness. Focused crawling is able to grab the information selectively when topic relate to web page. In this paper, utilizing the characteristics of Gibbs using in DBN and LDA, in the sliding window containing the URL link to semantic recognition,...

In recent years, recommendation is becoming more and more popular in many fields. However, there are still some problems, such as single point failure, lack of ability to support different devices and etc. To solve these problems, researches have been carried out using multi-agent approach but some new...

In reality, the demand of O-D pair can be affected by various factors and then lead to uncertain demand. Finally, it will impactthe location of transfer yards. A bi-objective nonlinear robust model is established for locating multimodal transfer yards with hazardous materials in this paper. To solve...

There often exists correlation among adjacent photovoltaic power stations and wind farms. This paper provides a method based on the nonparametric kernel density estimation theory and Spearman rank correlation to analysis the correlation of clean energy outputs. Firstly, a variable bandwidth kernel density...

A mathematical model of sequencing problem which takes the minimum overload time as the optimization objective is estab-lished to solve mixed model assembly line sequencing problem in semi-closed station. A new penalty strategy that can eliminate the influence of the viscous effect which caused by the...

The purpose of this study is aimed to construct a comprehensive theoretical framework for explaining the characteristics of different Smart Tourism Projects' Designing and Developing, and finding the best practice model in this booming area. Based on the three stages of R&D project pipeline of dynamic-programming...

For Influence Maximization(IM) problem based on social network, effective and personalized probability learning method was still not theoretical guaranteed. In this paper, we proposed a PPV probability model based on IM problem, which effectively learnt influence probabilities and personal-ized influence...

The paper presents the original approach to the exploratory OLAP of the heterogeneous resources based on the integral analytical model. Applying the multidimensional data model as a technological fundament allows to analyze the structure of the joining sources according to unified notation, allows to...

The paper presents an unconventional approach to formation of unified models for representation of cross-system interaction. The authors highlight the necessity of system integration method development that would bring in a standardised way to data exchange between heterogeneous resources with an opportunity...

The article approaches the problem of adaptive data exchange model making for cross-system data interaction. The authors demonstrated the need in development of system integration methods that would facilitate the standardised data exchange across heterogeneous sources with an opportunity to adapt flexibly...

In the past few years, With the constant expansion of supermarket chains, logistic distribution has been a Bottleneck of the development of supermarket chains. It is an important reason that distribution model is not well chose. This article based on the analysis of the limitation of traditional selective...

Autonomous underwater vehicles (AUV) play an important role in human activities. They are different from of the vehicles other areas (such as air, ground). Movement, communication, target detection all involve complex hydrology and climatic condition. For special application fields it's even more complex....

The customer demands were divided into dominant and implicit requirements. Classified by professional ability and social background of customer groups, classified indexes of customer groups were established to accurately obtain implicit requirements. In general, natural language expression of customers...

Usually auto body need several forming stages in the real manufacturing. Every forming parameter within the process has a significant influece on the forming quality. A reasonable desgin of the stamping process is needed. According to statistics, stamping process cover auto parts account for a large...

The initial clustering center of traditional K-means clustering algorithm is selected at random that different initial clustering center will get different clustering results, which have great randomicity and poor stability. To improve the K-means clustering algorithm optimized by adopting local outlier...

Rope protection is the protection function of large mineral lifting equipment. At present, most of the iron ore hoist sliding rope protection is the speed difference detection algorithm, and it is able to determine whether or not the hoisting machine system has a sliding rope fault, which can give the...

In this paper, a possibilistic fuzzy entropy clustering algorithm (PFECM) based on unsupervised possibilistic clustering (UPC) algorithm and partition entropy (PE) has been proposed. Meanwhile, an efficient global optimization method-artificial bee colony (ABC) algorithm is introduced to optimize the...

Most of Transmission Probability Control Algorithms in Mobile Ad hoc Network (MANET) research are based on the assumption that the number of competing nodes is known by every node. With an increasing number of wireless devices or appliances, the number of competing node in network is changed dynamically,...

The High Band Radio network has extensive value in the military application. A Dynamic Slot Allocation Algorithm (DSA) based on the High Band Radio network TDMA protocol is proposed in this paper, DSA algorithm allocates slots dynamically according to the difference of network traffics. The simulation...

The overlapping communities identification in complex networks was studied with the parallel algorithm from local extension. The algorithm thought originated from clustering of modularity. Firstly, based on the Map/Reduce framework, the core node was selected according to the distribution and aggregation...

In order to effectively identify the location and extent of structural damage, a two-stage damage identification method, ACO algorithm and wavelet theory were presented. First, the curvature mode of structure with damage was obtained with finite element analysis. The curvature modes were analyzed using...

This article takes the frame structure as the research object, and combines wavelet analysis with genetic algorithm for structural damage identification. Firstly, wavelet analysis is used to identify the structural damage location and the number of damaged units, then the genetic algorithm is used to...

Affinity Propagation (AP) algorithm is a relatively new clustering algorithm that can handle large datasets to obtain more satisfactory results. This paper introduces a detection mechanism for application-layer DDoS attack by using AP algorithm. In this detection strategy, we first extract some features...

For the purpose of reducing the complexity of depth intra coding, a fast intra prediction mode decision algorithm is proposed. First, the fast decision of depth modeling modes (DMMs) is obtained by using Laplace Operator detection method. Second by using the correlation between the wedgelet pattern and...

In this paper we only use graph's structural information to generate other information in order to get the structural hole. Our work firstly delivers a formula well defines the structural hole, gives an iterative algorithm and a descending algorithm to find solution. The definition combines the advantages...

The classical TF-IDF algorithm only considers the weight of the term frequency and the inverse document frequency, without considering the weights of other feature of word. After the author analyzing summary of Chinese expression habits, an adaptive weight of position of word algorithm based on TF-IDF...

Contrapose the randomness of wind speed and the wind power, use the method of multi-scenario based on probability analysis to study reactive power planning of wind power system and make the multi-scenario expectation model. On this basis, use improved adaptive genetic algorithm with subsection self-adaption...

With the expansion of grid scale and the development of UHV technology, grid partitioning mode is more and more widely applied. While the grid is closely connected with the large power grid, there is still the risk of separation and isolation mode operation. Under this background, this paper carries...

Cursive offline handwritten Uighur scripts contain a lot of small and random writing strokes, which makes the character segmentation is more complicated. In view of this, a new efficient character segmentation algorithm based on grapheme (part of a character) analysis is proposed in this paper. Firstly,...

This paper proposed methods of vehicle detection and tracking algorithm in real-time traffic. In the detection of real-time moving vehicle, vehicle areas would be determined through road line detection. Then, the main color information of moving and non-moving area would be obtained through frame difference....

In this paper, we focus on the problem of the siting of distribution stations, which is of key importance during designing a logistics distribution network. This problem includes dealing with physical obstacles in real world, making the orders as close as possible to their respective stations and making...

Robots are being increasingly used for coverage tasks which were earlier considered too dangerous or monotonous to be performed by humans such as interplanetary exploration, search & rescue missions, etc. Out of all the multi-robot coverage approaches, the frontier based approach is one of the most widely...

The paper analyzes the possibility of using the IEEE 802.11 standards for communication between the elements of robotic systems in terms of radio frequency (RF) channels congestion exterior traffic.

The purpose of this paper is to research on artificial intelligence in power system operation and on transient protection, through the use of discrete control and the continuous control to increase the stability of the power system; transient protection is through the use of relay protection based on...

In this paper, we proposed a novel architecture of a scalp electroencephalography (EEG) based rehabilitatoin system via brain computer interface with robotic and virtual reality devices. More and more attentions had been taken to the brain computer interface, because it is the only way for some special...

In this paper, a smart home remote monitoring system was designed based on C++ and ZigBee. The system is composed of slave subsystem and host subsystem. The slave subsystem is a wireless sensor network designed by using ZigBee, it performs the real-time detection of temperature and humidity, smog, gas...

In order to control the indoor temperature in a given range automatically, use SCM(single chip microcomputer) 89C52 as the main part is a simple way. The design of the hardware part is shown as FIGURE I and the software part is compiled by 'Keil'. After simulating the system in 'Protues' then begin the...

An novel fire extinguishing monitoring and control system is proposed in this paper. The system combines online monitoring of fire extinguishing information based on Internet of things (IoT), early fire warning and alarm system with building safety evaluation, which are designed to acquiring the real-time...

In the electric power systems, there are many different types of equipment with a variety of different functions. They need to communicate with each other through all kinds of hardware interfaces and software protocols. With the construction of electric power data network and the improvement of automation,...

This paper expounds the strategic significance of China car networking industry development, the development of a comprehensive analysis of the current situation of domestic and foreign car networking industry, the bottleneck problem of all aspects from the development process of different dimensions...

High-speed railway is seeking for a higher safety level than other public transports because of more passengers and higher speed. However, sleepiness and fatigue occur more frequently for train drivers due to longer operation time and irregular shift schedule. In the paper, we focus on study the particularity...

Unmanned Aerial Vehicles(UAVs) are widely used for civilian and military purposes, such as surveillance, reconnaissance, search and rescue, border patrol etc. In this paper a single UAV is equipped with a gimballed camera to conduct surveillance operations, the route planning method that uses neural...

In this paper, an optimization method of wavelet neural network for structure damage identification is established. The suspension bridge is used as the research object. Firstly, wavelet coefficients modulus maxima are obtained by wavelet transform to determine the location of structural damage. Then,...

This paper proposes a fast multi-domain convolutional neural networks method (Fast MDNet) for visual tracking. Fast MDNet builds on fast region-based convolutional neural networks (Fast R-CNN) and MDNet to efficiently track arbitrary objects using deep convolutional networks. We introduce a RoI pooling...

Convolution operation is the most important and time consuming step in a convolution neural network model. In this work, we analyze the computing complexity of direct convolution and fast-Fourier-transform-based (FFT-based) convolution. We creatively propose CS-unit, which is equivalent to a combination...

Localization estimation of sensor node is a key component in many sensor networks' applications. Correct localization is required for WSN applications, but it is often expensive to include GPS adapters in each sensor node. The RSSI ranged-based localization algorithm is a simple and cost effective localization...

Gender information, as a crucial part of human demographics, is valuable for its abundant connotations and potential applications. Though much effort has been made on the problem of gender inference, most existing methods are highly dependent on data from specific sources, like Twitter, and are difficult...

Traffic flow prediction have the characteristics of complexity, non-linearity and randomness. Researchers are resorting to hybrid neural networks fusing more effective algorithms into forecast process. This paper advances a fresh algorithm with both the thought of variation and adaptive to conquer the...

It is an open question if the explosive computing capability of artificial intelligence could transcend human intelligence. It is proposed that the universe is bisected and encapsulated into Self and Outside World by an individual based on one's sensitive tactility acquired in the biological evolution...

Low-resolution face recognition (LR FR) has become an active research subarea due to its significances for real applications. Conventional low-resolution face recognition approaches meet challenges like noise affection and lack of effective features with LR faces. In this paper, we propose a deep learning...

a new scheme was designed to recognize the medicine which was packed in small cylindrical bottle with a label on the surface. To recognize the label of medicine a new algorithm was needed, which was used to rectify the cylindrical character to plane one. According to the equations of the rectification...

Visual tracking is an important research direction in the field of computer vision and has been widely used in military, medical and other fields. In recent years, the upsurge of deep learning in computer vision provides a new way for the realization of visual tracking with higher performance. This paper...

Incremental learning is a machine learning paradigm that the training dataset grows dynamically at runtime and the prediction accuracy can be improved incrementally. Since real-life datasets are usually open-ended and dynamic, incremental learning is important to many image classification applications....

In this paper, we use one fast Fourier algorithm of the Fresnel integral transform (S-FFT) to realize the digital watermarking information of hologram. The most important point is that by the four-step phase shifting method to obtain four holographic images. We can randomly choose a holographic image...

We proposed a novel method of people recognition based on the structure of bones, which is detected by Kinect sensor for skeletal tracking. By using 3D depth image achieved by Kinect, body's skeleton information is extracted as 20 joints with joint coordinates, from which body's skeletal features are...

The design and development of complex 2D symbol library system based on GIS system is completed by combining design pattern technology. Firstly, it states that the design of the symbol library system has its unique difficulties. The diversity and complexity of symbol library lead to difficulties in the...

In recent years, air pollution problem has been the focus of public attention. In this paper, we proposed an efficient algorithm to evaluate the Air Quality Index (AQI) based on image recognition technology. In offline stage, some distinctive features extracted from the photos which are captured by common...

This paper introduces a method that can detect human posture by using depth image. The method uses head model to locate the human position which includes edge extraction, template matching and human detection. Then we extract the HOG feature from the depth images to get the characteristic vector of the...

How to improve the quality of difference image (DI) for change detection task is an important issue in remote sensing images. This paper propose a new DI creation method based on deep neural networks. Deep belief network (DBN) which is an important model in deep learning is applied, and back propagation...

Manual ways of recognizing stored grain pests which are trapped is very time-consuming. In this study, an image dataset of 9 species of pests was built up by finding the MSERs (Maximally Stable Extremal Regions), through a trap of stored grain pests combined with a real-time imaging device. On this basis,...

The complicate calculation and frequent comparison based on spatial orientation tree (SOT) structure in SPIHT severely reduce the coding speed. To overcome these shortcomings, a modified image compression algorithm is proposed without SOT. The algorithm sorts the wavelet coefficients in descending order...

With the rapid development of computer technology and the increasing of multimedia data on the Internet, how to quickly find the desired information in the massive data becomes a hot issue. Image retrieval can be used to retrieve similar images, and the effect of image retrieval depends on the selection...

When recognizing facial expression sequences by discrete Hidden Markov Model, it is necessary to cluster the image frames into several observation states. Considering the complexity of face images in emotion expressing, we partition the whole face into several sub-regions to do clustering separately....

With the development of the tourism, tourism virtual visualization became the essential method to show the charm of scenic spots. Study on the integration technology of panoramic images, 3D GIS and cloud GIS to visualize the mountain scenic spots in order to meet the needs of travelers, the integration...

Building solar power stations in space are concerned by international .In the process of electricity transmission to need to make the solar cell array always orient for the sun. The microwave beam of transmitting antenna must point to ground receiving antenna, which requirement the antenna has the very...

Ant-Miner algorithm is a typical classification rule mining algorithm which can improve the classification accuracy and generate simple rules. However, it also has a few disadvantages, such as complicated computing method for heuristic factor, long calculation time, slow evolution and so on. Based on...

Recently, researchers focus on Graph-based semi-supervised learning, how to construct a graph and introduce kernel function into semi-supervised learning affect the effect of the algorithm, and mostly. This paper proposed a improved graph-based method and introduce kernel function into semi-supervised...

One of the most important challenges in measuring text similarity is language variability: texts with the same meaning can be realized in several ways. A way to address the language variability is the notion of semantic similarity. This paper extracts the relevance of texts and terms through Singular...

Science and technology can be called the first productive force of development, and the patent as an important source of science and technology innovation is getting more and more attention. With the increase in the number of patent applications, followed is patent document classification problem. At...

In recent years, dynamically growing data and large-scale data classification research. Most traditional methods struggle to balance the precision and computational burden when data and its number of classes increased. However, some methods are with weak precision, and the others are time-consuming....

As a non-relational database, HBase (Hadoop Data Base) is an open source data storage system based on column cluster and is applied wisely. The HBase will write the log file before the memory caches data, so the cache size and the writing speed of the log file have become two important factors affecting...

In the field of aerospace, the amount of test data need to be transmitted is large, and the transmission is far. Especially when down sending the stored data, the code rate is as high as 200Mbps, and the data transmission distance is far, even up to several tens of meters. This paper presents a high-speed...

To study the rules and characteristics of the daily actions of the aged, a set of multi-sensor wearable device has been developed. As for the segmenting method of action data collected from the aged wearing this device, the human action sequence segmentation method has been proposed based on the motion...

The purpose of the paper was to explore the dynamic information flow among brain regions, which took part in the perception of the semantic relationship between the scene and the sound of the object within the scene. 15 healthy volunteers were recruited to observe the 4 categories (32 subclasses) of...

Energy disaggregation is the task of estimating power consumption of each individual appliance from the whole-house electric signals. In this paper, we study this task based on deep learning methods which have achieved a lot of success in various domains recently. We introduce the feature extraction...

For the decoding analysis of functional magnetic resonance imaging (fMRI) data, the appropriate method for feature selection and classification algorithm was a core issue. Given the high dimensionality of fMRI data in whole brain, the localization of regions of interest (ROI) usually was used to select...

From the knowledge exchange and influence angle, taking bibliometrics as the research methods, the author selected the journal papers which cited Gombrich academic literatures as the research object. Based on the literature data mining, this article described the academic affinitive relationships and...

Among many translation criteria, "faithfulness" principle is the most popular and widely accepted by Chinese and Westerners. Traditional translation criteria emphasize "faithfulness" which is regarded as the most essential principle in translation process and is also accepted by most translators. This...

The Deep Belief Network (DBN) is one of the major algorithms of deep learning. It simulates human brain to extract the features efficiently, so that the model has much strong learning ability. Because it is difficult to extract features from a variety of seismic data effectively, multiple sampling points...

In order to improve the progress of the tank car test , ensure inspector's personnel safety and save resources as well as reduce atmospheric pollution; This paper using a kind of explosion-proof valve which can be controlled by single-chip microcomputer to exhaust and collect the chemical gas in tank...

Eight wheel-legged hybrid wheelvhair robot motion is the process of multi-agent system collaborating work, in which each module can be viewed as an agent, such as frontal leg mechanism, latter leg mechanism, and seat position and orientation mechanism. Agent has the ability of sensing the environment,...

There are many different ways to vote in university daily management process such as title appraisal, research assessment, post evaluation and so on. Due to the variety of voting methods, inconvenience of traditional paper ballots by statistic method and targeting of electronic voting system result in...

An enterprise email filtering system is introduced integrating present business systems with service plugins, which connects the email and related business parts as office automation, cloud storage etc.. The user can fulfill his business-related process in the business system with personalized rules....

In order to know the soil moisture status of farmland irrigation area, improve the quality of production, for the actual demand of water-saving irrigation monitoring node localization, a weighted centroid localization algorithm of water-saving irrigation monitoring network is proposed based on RSSI ranging....

Meat products safety related to the national economy and the people's livelihood, the relationship between the national health. Meat products in the breeding, slaughter, storage and sales process of real-time monitoring and the establishment of meat products safety traceability system is the main means...

Now the food industry has become more and more customers as the center, so the need for faster response time to deal with food safety incidents. The current food labeling system does not guarantee that the food is authentic, high quality and safety. Good traceability system helps to reduce the production...

A ledge of certain thickness will be formed on the side wall of the cell during aluminum electrolysis process, its formation has a very important role for the normal production of aluminum electrolysis. First a three-dimensional unsteady heat transfer model with phase transformation is established by...

In battlefield, it is very difficult to consider all conditions such as various battlefield environments & factors. Thus, Friendly forces should satisfy battle tactics, weapon systems and other multiple conditions by responding immediately to battlefield situations. Therefore, in order to suggest the...

Because of the high-speed, multi-user and multi-thread characteristics of MySQL database, it becomes one of the most popular open-source database. With the rapid development of network technology, SQL attacks against MySQL is also growing, and its security had been paid more and more attention. Due to...

Until now, there has not been any major international effort that aims at comparing different signature verification methods systematically. However, most of the disclosed handwritten signature database is based on Latin, Chinese, Arabic and other languages. So creation of Uyghur off-line signature database...

Lots of studies have been done to pinpoint program faults almost to the exact line where different types of abnormal behaviors occur. Among them there is the promising testing-based fault localization (TBFL) technique, the aim of which is to locate the faults in the program automatically when the program...

To promote modularized maintenance force building, the reasons to share resources among maintenance modules and the standards to design share resources are analyzed, based on the kinds of classification result of maintenance modules. The technique and process to design sharing resources are researched,...

Since the first investigation of government websites in our country in 2015, problems such as low utilization rate and poor content construction have appeared. To solve the realistic problems and make up on the previous studies, this paper, based on grounded theory, discusses the factors influencing...

This paper studies trusted model for software behavior monitoring Based on agent. First, it put forward a trust monitoring software behavior framework, then analyzed the dynamic proxy monitoring mechanism, built a dynamic proxy monitoring model based on AOP. Finally, this paper analyzed the monitoring...

The increasing maturity of cloud computing has led many companies to store critical information in the cloud. The privacy preserving in the cloud storage still remains major concern because the management of the data might not be fully trustworthy. Privacy preserving brings in concern for data confidentiality....

MORUS is an authenticated stream cipher designed by Wu et al. and submitted for the third-round of the CAESAR competition. The collision properties of MORUS-640-128 are studied. We propose the necessary conditions for an internal state collision after two-step update, i.e., the Hamming weight of the...

With the wide application of QR code, the security problem of QR code is serious, such as information leakage and data tampering. In order to solve the QR information security problem, this paper proposed a secure QR code schema based on visual cryptography. The QR code is divided into two share images...

Grey target decision-making is one of important problems of decision-making theory. It is critical to express uncertain information effectively and depose them in reasonable and simple way. Firstly this paper makes a brief overview of the existing method for Grey target decision. Then the conception...