Table of Content

28 May 2014, Volume 0 Issue 5

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An Improved DV-Hop Algorithm Based on Anchor Node Filtering

ZUO Wen-jun, YE Zhi-hui, FENG Qi, ZHANG Xin, FANG Yuan

2014, 0(5):  1-5.  doi:10.3969/j.issn.1006-2475.2014.05.001

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As a classical non-ranging algorithm for wireless sensor network node localization, DV-Hop localization algorithm has advantages under the uniform distribution of nodes, whereas the nodes are nonuniform distribution, there is a large deviation in the positioning results. In response to this situation, many improved algorithms have been proposed such as Anchors Filtering DV-Hop (AFDV-Hop), which is qualified by screening of the unknown node localization anchor nodes. Compared with the conventional DV-Hop algorithm, the positioning accuracy of AFDV-Hop algorithm is improved to some extent. The method for the calculation of uniformity is more simple,  but the degree of improvement algorithm is not obvious. In this paper, the anchor node selection algorithm and uniformity measurement methods are improved. Simulation results indicate that the improvement of the node positioning deviation is more significant with the increase of the nodes nonuniformity.
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Algorithm of Colluding Clique Identification and Classification Based on Consistency of Activity

LU Dong-ping, CHEN Guang-xi

2014, 0(5):  6-9,13.  doi:10.3969/j.issn.1006-2475.2014.05.002

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Aiming at the consistency of clique behaviors, this paper proposes a collusion identification algorithm based on consistency of activity. In this algorithm, we evaluate the consistency degree of the network nodes’ behaviors by fuzzy theory for constructing similarity matrix; then, we identify colluding cliques by clustering method. The simulation results show the algorithm is effective in filtering malicious recommendation and resisting collusion attack, improves the reliability and quality of service for open networks.
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An Improved LLE Dimensionality Reduction Algorithm Based on FCM

SU Jin-qi, ZHANG Wen-yu

2014, 0(5):  10-13.  doi:10.3969/j.issn.1006-2475.2014.05.003

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 Locally Linear Embedding（LLE） is one of the non-linear dimensionality reduction methods which are based on manifold learning. Focused on the existing problem of the selection of the neighborhood and the distribution of sample points, also the time-consuming, an improved LLE algorithm for dimension reduction was proposed. Based on fuzzy clustering theory and distance calculation method, by making use of the characteristic of cluster center including massive information, this paper defined the approximately reconstructing coefficient. The experimental results show that the improved LLE can reduce the influence of the number of neighbors efficiently and obtain good results, also it can reduce time-consuming.
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Optimizing Web Page Classification Algorithm by Using Hyperlinks

JIANG Zong-li, SHI Fu-lin

2014, 0(5):  14-17,23.  doi:10.3969/j.issn.1006-2475.2014.05.004

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There is a problem in the Web page classification algorithm by using hyperlinks, the noise neighbors interfere with the results of the classification. To solve the problem an optimization method was presented, which utilizes the similarities between pages. If neighbors meet the thresholds, they are set different weights for different relationships. The results of classification by support vector machine are also used. Experiment shows that it increases in precision, recall and F1 value.
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An Image-based Algorithm for Icing Detection of Insulator

ZHONG You-ping1, YANG Wei 1, ZHOU Yang 2, LIN Wei-yao2

2014, 0(5):  18-23.  doi:10.3969/j.issn.1006-2475.2014.05.005

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 In this paper, an algorithm based on edge detection for icing detection of insulator was proposed. It took full advantage of the edge detection algorithm and other image processing method to make more specific and accurate detection of icing insulator. Also, it introduced the camera calibration to estimate the length and thickness of swing ice on the side of insulators. What’s more, when the settled angle of camera shifted due to some outside force or other reason, this algorithm was able to revise the camera calibration parameters in time and use them to estimate the length and thickness of ice again. The experimental results show that the detection of icing insulator edge is pretty good and the estimation of the length and thickness of ice is accurate, which definitely meet the requirement of real-time monitoring and early warnings.
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Dynamic Fuzzy Data Clustering Algorithm Based on Active Learning

ZHANG Jing, NIE Zhang-long

2014, 0(5):  24-27,32.  doi:10.3969/j.issn.1006-2475.2014.05.006

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Data clustering has recently become a topic of significant interest to data mining and machine learning communities. Because achieving supervised data may be expensive, the research focuses on attaining the supervised information form little information but can significantly improve the clustering performance. Moreover, there are many dynamic fuzzy problems in the real world. This paper presents a dynamic fuzzy data clustering algorithm based on active learning, and introduces three constraints which include dynamic fuzzy equivalence relation, dynamic fuzzy trust measure and dynamic fuzzy likelihood measure to guide the clustering process of DBSCAN, aiming at improving clustering performance. Experimental results show that this proposed approach is effective in data clustering; also it can describe the dynamic fuzzy data of the clustering problem better. The clustering performance of active DF-DBSCAN has been dramatically improved with three constraints and better than the three representative methods.

Traffic Accident Forecast Model Based on SVR Optimized by Improved PSO

LI Tong, MAO Li, WU Bin

2014, 0(5):  28-32.  doi:10.3969/j.issn.1006-2475.2014.05.007

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In order to predict traffic accidents effectively, this article introduced a traffic accident forecast model based on SVR optimized by improved PSO. The improved particle swarm algorithm searches the neighborhoods of the global optimal particle by grid search which combines the faster convergence speed of the particle swarm algorithm with the stronger local search ability of the grid search. The improved particle swarm algorithm improves the optimization precision of SVR parameters and improves the performance of the traffic accident prediction model. The simulation results show that the traffic accident forecast model based on SVR optimized by improved PSO gets faster learning speed and higher prediction precision, it is of good engineering applicability.
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Method of Ship Formation Based on Generalized Predictive Control

JIANG Feng, XIAO Jian-mei, WANG Xi-huai

2014, 0(5):  33-36,41.  doi:10.3969/j.issn.1006-2475.2014.05.008

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To do a deep research about multi-shipping formation cooperation, we studied the formation control of shipping. To predict the ideal path curves in the movement of the shipping, generalized predictive control method was used. Then the motion control strategy of shipping was brought out. A model of shipping formation control was created in the Cartesian coordinate system using the leader-follower formation method. Based on this model, we built a series of vessels bound track, and got control strategy for follower members. In the simulation experiments we added simulated storm disturbance during the movement of shipping. In the end, the running track of the fleet was obtained.
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An Improved Filtering Algorithm of Sea Clutter Filter

YU Lei, LIU Yi-an

2014, 0(5):  37-41.  doi:10.3969/j.issn.1006-2475.2014.05.009

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In the development of over-the-horizon radar, the advent of computer simulation technology promotes the development of its technology effectively. Over-the-horizon radar is often disturbed by strong sea clutter in the detection process, seriously affecting the development of the corresponding technology. As the traditional sea clutter filter considers only the suppression of sea clutter and rarely takes into account the effect of filtering algorithm on target signal in the computer simulation technology, the target echo produces great distortion after the computer simulation. This paper aims to solve the above problems by introducing the correct process of the target signal into the algorithm of the computer simulation technology. By the correction of the filter parameter, the sea clutter is suppressed and the filtering signal is corrected. In the actual simulation experiments, comparing the results with traditional computer simulation technology, we have also proved the superiority of this new filtering algorithm.

Fast Mode Decision Algorithm for Intra-frames Coding in HEVC

SHEN Wen-long

2014, 0(5):  42-46.  doi:10.3969/j.issn.1006-2475.2014.05.010

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We propose an algorithm for High Efficiency Video Coding (HEVC) standard based on Rough Mode Decision (RMD) process to decrease the coding complexity. In this algorithm, we make full use of the similarity of the candidate mode lists from parent prediction unit and child prediction unit and merge the prediction modes into several groups to further reduce the number of prediction modes which may be checked by encoder in Rate Distortion Optimization (RDO) process. Experimental result shows nearly 22% computational saving with 0.5% coding loss.
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An Improved Scheme for Neural Synchronization Based on Tree Parity Machine

LIU Yi-lu, LIAO Xiao-feng, LIANG Yi-feng

2014, 0(5):  47-51.  doi:10.3969/j.issn.1006-2475.2014.05.011

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Neural network can fully synchronize by learning from each other, because this effect neural synchronization can be used to construct a cryptographic key-exchange protocol, which has become an important research direction in current cryptography. To solve the problem of too many times in neural cryptography synchronization, an improved scheme was proposed by employing Tree Parity Machine (TPM). On the basis of neural cryptographic protocols, the range of initial weights of neural units was appropriately reduced. After the analysis, the simulation results show that in the case of ensuring security, synchronization efficiency is greatly improved by applying new improvement scheme.
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Algorithm of Wireless Sensor Networks Cluster-head Selection Based on Sensing Coverage

PENG Pei1， XIONG Yong1,2

2014, 0(5):  52-55.  doi:10.3969/j.issn.1006-2475.2014.05.012

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Energy efficiency and sensing coverage are two important issues need to be concerned in wireless sensor networks. In this paper, we introduce correlation-node number as a parameter to improve the cluster-head selection of LEACH protocol. According to the simulation results, the proposed algorithm can prolong the network lifetime and the effective operating time of the whole network.
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Intelligent Agriculture Sensing-controlled Device Based on IOT

DONG Jun， YANG Xiu-juan, DONG Zhi-guo, WANG Bing-mei

2014, 0(5):  56-60.  doi:10.3969/j.issn.1006-2475.2014.05.013

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In view of the needs of environmental monitoring and prediction system for greenhouse group in IOT framework, an  agriculture sensing-controlled device based on IOT is designed. The C8051F020 is used as the MCU and the SI4464 as RFIC. The controlling of connected devices is achieved by ULN2022 driven relays. And a tiny data fusion algorithm is proposed, it is designed to improve the accuracy of data. Up to now, the device  has been used in rice breeding greenhouses. The scene test shows that the device can sense different types of environmental parameters accurately, auto-operation and manual-operation are stable and reliable. Unusual conditions relating to the manufacturing can be judged and processed accurately.
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Training Cloud Computing Service Based on Ontology

]ZHOU Yi-fan1, ZOU Cheng-wu2, WANG Ming-wen2

2014, 0(5):  61-64.  doi:10.3969/j.issn.1006-2475.2014.05.014

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Because of the imbalance of regional development, the experimental resources of colleges and universities are shortage in varying degrees, many research universities established virtual simulation training platform to relief the shortage of experimental resources. Combining the features of wide distribution, variety, heterogeneous, autonomous and dynamic management structure combination, this paper designed a training cloud service architecture based on semantics of ontology, the ontology technology and Protégé were used to realize training cloud semantic description, and the Web Services technology was used to realize the training resources matching and positioning. The designed training cloud improves the development and utilization of the open online training platform.
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Classification Model of New Media Events Based on Bayesian Network

SUN Lin-fang1, XU Hui2, LI Jin-hai3

2014, 0(5):  65-69,73.  doi:10.3969/j.issn.1006-2475.2014.05.015

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To make an exact and effective classification of new media events, this paper puts forward a mixed algorithm combining K-means with Bayesian network. The algorithm firstly clusters training samples by K-means, and then classifies new media events through modified Bayesian network according to the clustering results. Hierarchy Bayesian network model built in this algorithm enables Bayesian network to get rid of local optimization in parameter learning, while the introduction of hidden nodes better meets the requirements of conditional independence assumption of Bayesian network. Experimental results show that the algorithm is effective.
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Method of Retrieval Results Clustering for EC Web Pages

MU Cui-xia1,2, LIU Zhen-hua1, WU Tao1

2014, 0(5):  70-73.  doi:10.3969/j.issn.1006-2475.2014.05.016

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In management information system for EC network resources, in order to display Web pages retrieval results according to different topics to help the users quickly locating the required information and effectively improving user experience, the solution was put forword for related problems. The solution includes user-defined domain dictionary, feature selection based on clustering features dictionary and initial center point construction based on topics domain words. From experimental results, this solution can effectively improve the quality of text clustering for EC Web pages. The text clustering solution can be extended to other specific domains.
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Semantic Query and Reasoning System Based on Domain Ontology

NI Li-xian, WU Ting

2014, 0(5):  74-78.  doi:10.3969/j.issn.1006-2475.2014.05.017

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Information retrieval technology based on traditional keywords does not satisfy the need of people for information query, while semantic Web is the best way to solve this problem. This paper designed and developed a semantic query and reasoning system based on domain ontology of publications, devised the domain ontology for publications, conducted query language and reasoning rules, gave the results of semantic query and reasoning and conducted the testing for results. It is concluded that the semantic query and reasoning system is feasible and effective.
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A Sentiment Analysis Method Based on Sentiment Words Extraction and LDA Feature Representation

ZHANG Jian-hua, LIANG Zheng-you

2014, 0(5):  79-83.  doi:10.3969/j.issn.1006-2475.2014.05.018

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As a new field of sentiment analysis, text mining can be used to classify and summarize online users’ product reviews. The summaries and classification help provider to improve service and product quality, and also provide buyer advicse for other consumers. The paper proposes a sentiment analysis method based on sentiment words extraction and LDA feature representation, for online products’ reviews making binary classification. The processing steps are as follows: extract sentiment words from the preprocessed text using the manually created sentiment dictionary; create the topic subject distribution of documents using the LDA model; take comment-subject distribution as feature; do classification based on the SVM classifier. Experiments show that, the proposed method has excellent effects of review of judgments classification.
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An Edge Adaptive Up-sampling Scheme Based on Depth Map Compression

ZUO Yu-peng1,2

2014, 0(5):  84-88.  doi:10.3969/j.issn.1006-2475.2014.05.019

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 In 3D video system, in order to better preserve the edge sharpness of depth maps and improve the rendering quality of virtual views, the paper proposed a novel two-step edge adaptive up-sampling scheme to recover the lost information due to down-sampling operation prior to encoding. We detected the horizontal and vertical edges of low resolution (LR) depth map and high resolution (HR) texture map by Sobel operation. Then, we utilized the texture information to direct the reconstruction of accurate HR depth map according to the characteristic of different areas of depth map. Experimental results show that the proposed method improves both depth map coding efficiency and perceptual quality of rendered views.
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3D Reconstruction Method of Rotational Rigid Object Based on Kinect

WEI Yu-mian, SHANG Zhao-wei

2014, 0(5):  89-93，98.  doi:10.3969/j.issn.1006-2475.2014.05.020

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 Aiming at the problem of using Kinect for rigid object 3D reconstruction under the condition of non-fixed axis and non-uniform rotation, this paper presents an improved rigid object 3D reconstruction method based on Kinect sensor. First, the depth image is acquired by the Kinect depth camera. Then the improved weighted ICP (Iterative Closest Point) algorithm is used for registration under the condition of non-fixed axis and non-uniform rotation, and all the point clouds are transformed to a universal coordinate system. Finally the 3D model surface is created based on the point cloud. The GPU (Graphic Processing Unit) programming technique is used to raise the calculating speed to meet the actual demand. The experimental results show that this method is of the advantages of good reconstruction effect.
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Super Resolution-based Image Enhancement System

LI Wei-xiang, LI Zhan, WU Shao-chun, DENG Fu-ming

2014, 0(5):  94-98.  doi:10.3969/j.issn.1006-2475.2014.05.021

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To enhance image resolution, and also to provide a comparison and analysis tool for image enhancement algorithms, a Super Resolution-based Image Enhancement System (SR-IES) is constructed and implemented, which combines image degradation simulation, gray level enhancement, super resolution (SR) image reconstruction and image evaluation into one. SR-IES enhances images using multiple image processing methods, among which SR reconstruction algorithms are key technologies of this system. System tests show that SR-IES can improve resolution and visual effect of images effectively and provide a basis for algorithms comparison through image quality assessments.
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Improved Harris Corner Detection for Chinese Characters Image

YAO Na, LYU Hai-fang, BAI Tie-cheng

2014, 0(5):  99-103,117.  doi:10.3969/j.issn.1006-2475.2014.05.022

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According to characteristics of Chinese characters image, we proposed an improved corner detection method based on Harris algorithm， and the ideal of FAST to improve detection rate for next feature extraction. Firstly, the pixels were computed to remove non-corners, and then the image of Chinese characters was detected for corners  using Harris algorithm. Secondly, FAST for reference was used and the false corners were removed. The corners found lastly were endpoints of line segments, providing the length of line segments for shape feature extraction. The proposed method was compared with several corner detection methods over a number of images. Experimental results show that the proposed method is better in terms of detection rate, but not best for running time.
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Rotation-invariant Color Texture Classification Based on Quaternion Fourier-Mellin Transform

WU Jing

2014, 0(5):  104-107,112.  doi:10.3969/j.issn.1006-2475.2014.05.023

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A method of color texture classification based on quaternion Fourier-Mellin transform is proposed， which is rotation-invariant． Firstly， log-polar coordinate transform is used on each component image of the color image, and then the three components which have been transformed are represented as a quaternion and carries on the quaternion Fourier transform; finally, statistic of the ring and wedge characteristic feature of the amplitude spectrum acts as texture classification vector, and uses the nearest neighbor classifier to classify. The experimental results show that the classification accuracy of the proposed method is higher and is of a good rotation invariance．
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An Image-based Method for Automatic Length Measuring of Large Vehicles

YUAN Han， TANG Jin， WANG Wen-zhong

2014, 0(5):  108-112.  doi:10.3969/j.issn.1006-2475.2014.05.024

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For the deficiency of the length measurement technology of large vehicles limited by actually application environment, this paper proposes an image-based metrology solution for the length measurement of large vehicles. We use the image segment method to extract different portions of the same vehicle from multiple images, and the matching method based on image edge feature to stitch the segmented parts into a complete profile of the vehicle. We assume that the side of vehicle is an approximate plane. We map the image coordinates onto a reference plane on which the distances between any two points can be measured in physical dimension. With the knowledge of the depths of the reference plane and vehicle side, we can map measurements on the reference plane onto the side of the vehicles using linear transformations. We tested the method with many vehicles of different types, and got pleasing results without environmental restriction.
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RST Invariant Color Image Watermarking Algorithm Based on Quaternion Fourier-Mellin Transform

ZHONG Yan

2014, 0(5):  113-117.  doi:10.3969/j.issn.1006-2475.2014.05.025

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In this paper, a RST (Rotation, Scaling and Translation) invariant color image watermarking algorithm is proposed by using Quaternion Fourier-Mellin Transforms (QFMT). Firstly translation invariance is achieved by circular feature region which can be generated using invariant centroid. Then the circular region is transferred into QFMT domain. Rotation invariance and scaling invariance are constructed by embedding the digital watermarking into the QFMT spread spectrum. The proposed color image watermarking scheme is of better robustness against RST attacks. And the proposed algorithm spreads the image distortions from the watermarking into the three channels of host image, thus leading to an increased capacity of watermarking embedding. Experimental results demonstrate that this method is of good robustness against JPEG compression and RST attacks.
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Seatbelt Automatic Recognition Algorithm Based on Highway Traffic Image

SHI Shi-xu1, QIN Yong2, CAI Zhao-quan3, ZHOU Jian-bin4, HUANG Han4

2014, 0(5):  118-121,126,158.  doi:10.3969/j.issn.1006-2475.2014.05.026

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This study presents an algorithm to automatically recognize the seatbelt wearing of the driver and the front passenger on highway. The input of the proposed algorithm is the vehicle image from the highway traffic information. The algorithm uses license plate location, face detection and seatbelt detection to detect the object vehicle and recognize whether the driver and the front passenger wear the seatbelt. The output of the algorithm is used to check the seatbelt incident based on the image. The experimental results indicate the proposed algorithm achieves a feasible and valid result for application.
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Design of License Plate Recognition System Based on Cortex-A8 Processor

CHENG Hai-su1, LI Qing-wu1,2, YU Kai1, QIU Chun-chun1

2014, 0(5):  122-126.  doi:10.3969/j.issn.1006-2475.2014.05.027

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With the increasing number of vehicles, traffic management is facing an accumulation of ever-growing pressures, and license  plate recognition is needed in more and more occasions. To solve this problem, a real-time license plate recognition system based on Cortex-A8 embedded processor was proposed. The system is cored on Cortex-A8 processor, it captures video streaming via V4L2 interface, and runs the improved algorithm of license plate recognition based on OpenCV, and finally it transmits video streaming and license plate data via MJPG-streamer and Socket programming. The test of the whole system shows that the system is of strong stability, real-time and practical value.
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Water Census Data Warehouse Based on Hive

CHEN Long, WAN Ding-sheng, GU Xin-chen

2014, 0(5):  127-130.  doi:10.3969/j.issn.1006-2475.2014.05.028

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For the characters that water census data is of large volumes and high dimension, studying Hadoop and Hive which have a quick development recently in the “big data” concept and combining mature technology in multidimensional data analysis using traditional data warehouse, this article proposes a construction method of water census data warehouse based on Hive. This paper describes the architecture of data warehouse system, improves multidimensional model by dimension table reduction, fact table redundancy and Hive’s bucket method, then carries on queries and analysis to water census data set on Hadoop cluster system. Experimental results show that the data warehouse meets the f storage and query requirements of massive multidimensional water census data.
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Modeling Method and System Implementation for Sales Forecasting Based on ARMA

YAN Bo1,2, LI Guo-he1,2,3, LI Xu1,2

2014, 0(5):  131-135.  doi:10.3969/j.issn.1006-2475.2014.05.029

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In order to improve the accuracy of sales forecast to provide references for business decisions, a forecasting model for sales is set up to forecast the monthly total sales based on ARMA (autoregressive moving average model). The weight of each affecting factor of the input time series is adjusted by adopting the modifying factors (pretreatment). Then, the ARMA model is built. Finally, the forecasting results are re-modified (post process) which improves the accuracy of sales forecast. By means of the IIS as the application server and the Oracle database as the database server, the B/S architecture and the design of ASP.NET four-layer architecture are adopted. The forecasting system includes functions like modification of the input sales data, model recognition, order selection, parameter estimation, modification of forecasting results and interface display to implement the product sales forecasting system.
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Research and Implementation of Processing Progress for Webpage Display System

TANG Qing-song

2014, 0(5):  136-140.  doi:10.3969/j.issn.1006-2475.2014.05.030

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The traditional Web technology is difficult to realize data processing and deal with the progress of the synchronization information displaying on the Web at the same time. Especially in the case of unknowing the circumstances and the number of local content updates page, the problem is more protruding. For solving the problem, we use the calling way of recursive function to achieve system information asynchronously, expand the Web information system application ability in order to improve the expressive force of human-computer interaction, and display the image of process for the user. Compared with a traditional Web thread which serves only a single user, the experimental results show that the proposed technology can achieve more than one Web thread and serve a user at the same time.
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Key Construction Project Management System Based on Web

LI Wen-quan, LI Dan

2014, 0(5):  141-144,149.  doi:10.3969/j.issn.1006-2475.2014.05.031

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To improve management level and enhance work efficiency of key construction projects, a system of key construction project on Web is proposed based on detailed analysis of business process of key construction project and needs of users. The system adopts typical triple framework, which reflects more flexibility and scalability. By using the system, the information of key construction project is managed scientifically, which can overcome disadvantages of traditional management and enhance work efficiency.
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Cooperation Between Traffic Control and Route Guidance Based on Real-time Speed

CAO Jie1， WANG Chuan2

2014, 0(5):  145-149.  doi:10.3969/j.issn.1006-2475.2014.05.032

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In order to reduce total network travel time and improve the efficiency of road network, a cooperation model of traffic control and route guidance is built based on real-time speed. Genetic algorithm is used to solve the cooperation model to get the best control and guidance scheme through transforming constraints genetic algorithm into unconstrained genetic algorithm by penalty function. In microscopic traffic simulation software Vissim, a small road network with four intersections is established by simulation experiment. The simulation results show that this method can effectively reduce total travel time and improve the efficiency of road network.
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Visibility Network Analysis on Official Documents Distribution  Records

FAN Chao1, WANG Zhong-xi2, GAO Lu-bin3

2014, 0(5):  150-155.  doi:10.3969/j.issn.1006-2475.2014.05.033

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Traditional research methods on human dynamics most focus on a single perspective of inter-event time, which cannot fully reflect the scaling law of human behavior. In this paper, inter-event time and amount of human behaviors are investigated based on the records of official documents distribution by means of time series and complex network analysis. Firstly, the inter-event time distribution of each document is analyzed and We find that the cumulative pattern follows power-law distribution. Then, time series is constructed with the amount of official documents. The values of Hurst exponent and length of non-periodic cycle calculated through rescaled range analysis indicate that the time series of human behaviors are fractal with long-range dependence. After that, the time series is converted into complex networks by the visibility and horizontal visibility algorithm. The topological properties of the networks such as scale-free property, small-world effect and hierarchical structure imply that there is a close relationship among the numbers of repetitious behaviors during different periods of time. Finally, the similarities, differences and applicability of both visibility algorithms are discussed.
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TCM Decoction Barcode Identification System in Mobile Client

WANG Rui-juan, HU Chen-jun, ZHAI Shuang-can

2014, 0(5):  156-158.  doi:10.3969/j.issn.1006-2475.2014.05.034

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This paper designs and implements a TCM decoction barcode identification system based on Android SDK, scanning barcode on mobile intelligent terminals through the Android controls, accessing TCM decoction barcode information system with network, and achieving real-time query information of decoction production and quality control.