Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

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112 articles

A Simulation Model for Predicting the Development of Cut Lily Based on Photo-Thermal Index

Yong-Yi Dong, Dong-Sheng An
In order to provide accurate prediction of the development stages of cut lily, which is crucial for decision-making of the market schedule, a simulation model based on photo-thermal index (PTI) was developed to estimate the phenophase days during greenhouse production. Three experiments of Lilium Oriental...

Dispatching Rules with Cycle Time Prediction for Semiconductor Manufactury

Yin-Dong Wei, Qi-Di Wu, Li Li
Semiconductor manufacturing system is considered as one of the most complex manufacturing systems, due to its characteristics like multiple-entry and large-scale. As for scheduling a job, its remaining cycle time is an important factor to the decision, but current researches seldom study the influence...

Design and Implementation of Client Side at Application Layer of Internet of Things

Zong-Jing Zhao, Jing-Jing Yang, Su-Jing Ma, Xiao Zhang
This paper designs the client side of application layer of IoT-based smart home system. Firstly, it brings forward IoT overall structure; then it compares the three short distance transmission modes of ZigBee, WIFI and Bluetooth and chooses WIFI transmission; finally it analyzes the process of connecting...

Parallel Fringe Search Algorithm for VLBI Software Correlator Based on Computer Cluster

Yun Yu, Wei-Min Zheng, Ping Rui, Juan Zhang, Feng-Xian Tong, Yong-Biao Shi
The Chinese VLBI Network correlator has been successfully adopted in the China's lunar exploration project for probe tracking. However, due to the probe orbit maneuver, sometimes the error of the predicted VLBI time delay can be quite large. The correlator fringe search module needs new methods to tackle...

Design and Implement of Data Gathering Application Software Based on Android Mobile Terminal

Ran Li, Li Lou, Yong-Yang Hu
In the data gathering area, mobile terminals with various sensors and abundant user interfaces can provide functions of data gathering, storage and transport on time. Meanwhile, the intelligent OS, e.g., Android, which has properties like open-source, equally extended applications, strong compatibility,...

Path Planning Algorithm with Thinning Preprocess

Wang Yang, He-Gen Xu
This paper proposes path planning algorithm with thinning preprocess to increase the efficiency of path planning as well as reserving the key points (the start point and the target point). A modified Zhang's fast parallel thinning algorithm is proposed with the key points (start point, the target point)...

Classified Judgment on Same-different Based on Bayesian Inference

Zhi-Cheng Chen, Xin-Sheng Liu
The ability to detect objects precisely with the same orientations from random orientations is one of the most remarkable functions of perception and cognition. Many psychophysical evidences imply human's behavior follows near-optimal Bayesian inference in tasks of decision making. We explore the model...

Motion Recognition for Stroke Rehabilitation Based on BP, RBF Neural Network and Support Vector Machine

Li-Quan Guo, Ji-Ping Wang, Da-Xi Xiong, Jie-Yong Bian, Lin-Qiang Zhou
In order to monitor the rehabilitation training of stroke patients in unsupervised situation and provide rehabilitation advice for rehabilitation clinicians, a wireless upper limb motion recognition system has been developed using 9-axis sensors, to identify the complex upper limb movements from stroke...

Research on the Fast Display of Web-based Nautical Chart System

Yuan-Qiang Zhang, Guo-You Shi, Wei-Feng Li
With ship size and capacity continuing to increase, the safety of ship navigation has become increasingly challenging. Port authorities and shipping companies urgently require quick and easy, real-time, vessel navigational monitoring. Cheap and easy-to-use web based electronic chart application services...

Strong Constraint Dynamic Simulation Method for 3D Garment Models

Zheng-Dong Liu
With the continuous improvement of quality of 3D games and virtual fitting, the trend of garment simulation has changed: from cloth simulation to dynamic simulation. Garment simulation is of significant theoretical and practical value, because it is authentic, real-timely, universal and interactive....

Multi-pretraining Deep Neural Network by DBN and SDA

Zhen Hu, Zhu-Yin Xue, Tong Cui, Shi-Qiang Zong, Cheng-Long He
Pretraining is widely used in deep neutral network and one of the most famous pretraining models is Deep Belief Network (DBN) which is composed by stacking Restricted Boltzmann Machine (RBM). The optimization formulas are different during the pretraining process for different pretraining models. In this...

Study on IR Bright Temperature with NOAA Data in Shanghai

Jun-Juan Zhao, Meng Yuan, Yan-Li Guo, Cheng-Fan Li, Yin-Jing Yuan
Infrared brightness temperature is a key index in the field of seismic precursory. However, it isn't received the attention of the professional field because of the limitations of data sources. With the development of remote sensing technology, more and more thermal infrared remote sensing data is obtained....

Use Genetic Algorithm to Sliding Mode Control of Active Power Filters

Jian Wang, Jian-Ping Sheng, Rui-Qi Gong, Shi-Yun Jin, Ye-Hua Xie
In order to improve the defect of active power filter (APF) based on the sliding mode control (SMC), which will be always chattering at high frequencies, we proposed to take genetic algorithm into the optimization of controller parameters. And at the same time, the theoretical basis for the design of...

A Novel Neural Network Model for Extracting the Largest Sum of Real Part and Imaginary Part of Eigenvalues and the Corresponding Eigenvectors of a Real Matrix

Hang Tan, Xue-Song Liang, Li-Ping Wan, Zhao-Yao Wu
In this study, we proposed a novel complex neural network model, which extends the neural networks based approaches that can asymptotically compute the largest imaginary part or the largest real part of eigenvalues to the case of directly calculating the largest sum of real part and imaginary part of...

Research on Two-point Aggregated Algebraic Multigrid Preconditioning Methods

Jian-Ping Wu, Fu-Kang Yin, Jun Peng, Jin-Hui Yang
Among the methods to solve sparse linear systems, the aggregation based algebraic multigrid is widely focused on, due to the potential of approximately optimal convergence and the cheap cost to setup. And it is often used as the preconditioner to Krylov subspace methods. But the actual efficiency is...

Vision-based Lawn Boundary Recognition for Mowing Robot

Yao Guo, Fu-Chun Sun
We present a novel method for mowing robot's lawn boundary recognition based on Gabor filters and support vector machine (SVM). Robust texture features of images are extracted and concatenated using Gabor filters. The principle components analysis (PCA) approach is then used to reduce the dimensionality...

Study of Isohyets Generation Algorithm and Its Modification

Mei-Ling Yin, Jian-Xun Chen
Generally speaking, isohyets need to be generated through triangulated mesh, linear interpolation, search contours. Triangulated mesh is the key step, it is especially critical to improve its efficiency and reduce its time complexity, and its prevalent two generation algorithms are divide-conquer and...

Research on Informatization Construction of the New Generation "wisdom water network" Based on "Water Profile"

Hong-Zhi Kuai, Hong-Xia Xu
At present, with the rapid development of the new generation information and communication technology, the development of the global intelligent water network has been from the theory to reality, and the operation efficiency of water resources has been greatly improved. Wisdom Water Network is a new...

Topology Optimization Design and Thermodynamic Analysis of the Missile Engine Support Structure Based on Numerical Simulation and 3D Printing

Miao-Wen Jiang, Jian-Zhuo Yan
This paper aims to offer a lightweight design method of the missile engine support structure based on the topology optimization by taking advantage of the computer numerical simulation and 3D printing technology. Taking use of 3D printing in the shape of heterogeneous structures and personalized manufacturing...

Research on Intelligent Water Network System Based on Multi - modal Data Fusion

Ru-Ying Lv, Jing Wang
The rapid development of the 21st century, so that the number of types and number of various types of exponential growth is not only the amount of data, large data era has come quietly. Intelligent water network system is also indispensable to large data. In the context of large data, large data analysis...

Task-Aware Priority Scheduling for Multicore Processors

Qiu-Wei Shi
Task scheduling is a key issue in multicore processors, especially for the multicore processor in parallel framework. However, few state-of-art task scheduling strategies solve these important issues simultaneously: assignment of task to CPU core, task types, task order and resource conflict of task....

Efficient Re-Clustering for Convolutional Neural Networks

Cheng-Ying Wang, Feng Cen
With the rapid development of face recognition, it has been widely applied to various fields and scenes. Due to the unstable light condition, rotation and occlusion, the stability of the recognition performance is still an issue. In this work, we study the VGG model and analyze features' distribution...

Robust Face Recognition Based on DCNN and CRC

Li-Na Yuan, Feng Cen
Collaborative representation based classification (CRC) has gained popularity in recent years, but the conventional features could not effectively handle the variations of pose and occlusion such as sunglass. In this paper, the deep convolution neural network (DCNN) is introduced in the feature extraction...

Particle Swarm Optimization Assisted by Gaussian Processes for Multimodal Function Optimization

Yan Zhang, Yi Zhang
In many real-world optimization problems, the location of multiple optima is often required in a search space. In order to evaluate the solution, thousands of fitness function evaluations are involved that is a time consuming or expensive processes. Therefore, standard Particle Swarm Optimization (PSO)...

Edge Detection Based on Improved Sobel Operator

Chao-Chao Zhang, Jian-Dong Fang
Sobel algorithm is an important method of image edge detection. Comparing the Sobel operator with several other edge detection operators used frequently and making a further study on the classical Sobel operator, the advantages of Sobel operator are its fast detection speed, meanwhile , it has an effect...

Adaptive Algorithm of Edge Detection Based on Canny

Tao Ma, Jian-Dong Fang
Aiming at the problem that the high and low thresholds need to be set artificially for Canny edge detection, this paper proposes an adaptive algorithm to set the high and low thresholds by the mean and standard deviation of the non-maximally suppressed images. The simulation results show that the algorithm...

User Interest Model at Multiple Dimensions and Multiple Granularities

Hui Chen, Song Deng
Finding user's interest and pushing related resources to user would be the best solution to aim the problem of "Information Overload" and "Lost in Internet". This paper designs a user interest model with multiple dimensions and multiple granularities, named UIM. In UIM, the interest concepts are kept...

On Constructing Generative Mechanism for EFL Autonomous Learning Behaviors within Ubiquitous Learning Community

Huan-Huan Ren, Chi Ma
The ubiquitous computing movement makes computers much smarter and easier to use, and gives rise to ubiquitous learning which will truly revolutionize future education. With those enabling technologies, "Internet plus" strategy and natural shift from e-learning to u-learning are proposed as two dominating...

Inconsistent Neighborhoods and Relevant Properties in Neighborhood Rough Set Models

Shu-Jiao Liao, Qing-Xin Zhu, Rui Liang, Xin-Zheng Niu
Rough set theory is an important branch of data mining and machine learning, among which neighborhood rough set is presented to deal with numerical data and hybrid data. In this paper, we propose a new concept called inconsistent neighborhood, and explore the relations between it and the existing notions...

The Approach of Micro-blog Explosive Events Detection and Analysis in Real-time

Ying-Ying She, Qian Wang, Xiao-Yu Zhang, Wen-Yong Zheng, Yao Fu, Qing-Qiang Wu
Social network is an important platform for gathering social focus information. Explosive events from micro-blog can be used in the analysis and decision making in government monitoring, social phenomena research and other aspects. In this paper, we proposed an approach to detect and analysis explosive...

Color Recognition Based on C4.5 Decision Tree Algorithm

Chao Chen, He-Gen Xu
This paper presents an approach to color recognition using C4.5 decision tree algorithm. Before being employed to identify the color, the C4.5 decision tree is trained with sample images under scenes of varied background and illumination. The experimental results show the effectiveness and robustness...

Metric Learning Based Multi-Patch Ensemble for High Precision Face Verification

Dang-Dang Chen, Lan-Qing He, Zhong-Dao Wang, Sheng-Jin Wang
Face verification under video surveillance is an important issue in computer vision for decades. Several methods on automatic face verification have significantly raised the accuracy by using Gabor wavelets, high-dimensional LBP features, Fisher vectors, Joint Bayesian, etc. Especially the usage of Deep...

A New Algorithm of Grading and Classification for Massive Data Processing Based on Decision Tree

Xin Jing, Hong-Da Li
In the paper, the rules of grading and classification for decision tree have been discussed. By using the information entry gain ratio in dealing with classification, the accuracy of the algorithm has been improved. Based on the C4.5 method, an algorithm for massive data processing has been established...

Study on Improvement and Development of College English Autonomous Learning Field within Ubiquitous Learning Community

Huan-Huan Ren, Chi Ma
It's about time when everyone is involved in acquiring new knowledge and skills with the aid of ubiquitous and wireless technologies. This research is addressing a number of research topics pertinent to ubiquitous learning in view of Bourdieu's theory of practice. With regard to Bourdieu's theory of...

Study of Gas Diffusion Multivariate Regression Model

Ying Zhou, Jian-Dong Fang
With the rapid economic development, social demand for chemical products is increasing and the attendant problems have also emerged which the chemical gas will spill during transport. Therefore, understand the leaking gas diffusion trend has great effect on emergency rescue. Around the diffusion problem...

Modeling and Performance Analysis of Marine DTN Networks with Nodes-cluster in an Ad Hoc Sub-net

Yao Shi, Hui Li, Wen-Cai Du, Ji-Xin Ma, Fa-Bin Li
The marine communication environment is complex and changeable, and the sea wireless infrastructure is few. The delay tolerant network is proposed and applied in ocean environment. We use the ships to store, carry and forward the messages, so as to solve the problem that the communication links are broken...

Study on Reflective Characters of Aircraft Skin Coating Based on Fiber End - face Echoes

Xiang-Lin Zhan, Wei Zhang, Jing-Chang Zhuge, Shu-Jian Xing
Icing on aircraft skin brings a serious risk to aircraft safety. At present, removing ice is usually conducted by spraying deicing fluid. Even so, the ice on the skin cannot be eliminated completely. Therefore, it is needed to find a fast and accurate detection method to detect the location and area...

Path Planning Based on Two-layer Adaptive Genetic Algorithm

Xiang Xu, Kun Zou
Path planning for autonomous agent is an important issue in artificial intelligence, its purpose is to find a reasonable path by following certain optimization criteria, such as the length of path is shorter, the path can avoid collision, and the path is smooth, etc. This paper proposed a two-layer adaptive...

Consensus-Based Approach for Perimeter Control of Urban Road Traffic Networks

Da-Biao Li, Zheng-Ran Liu, Wei Lang, Chao-Qun Zhang, Meng-Yao Zhu, Zhong-He He
Continuous increasing of traffic demands often more than the network supply is the primary reason of traffic congestion. Recently, the existence of macroscopic fundamental diagram in urban traffic network has been validated and moreover activated the researches for the perimeter control of the network....

Physical Solid Fracture Simulation Based on Random Voronoi Tessallation

Shao-Xiong Zhang, Chen-Yang Chen, Fan Zhang, Zhang-Ye Wang
Physics based solid fracture simulation techniques have great applications in the domains such as Virtual Reality, Military Affairs training, special effect manufacture in films & television, and game design, etc. However, current solid fracture simulation algorithms have the defects of either too slow...

Interactive Visual Simulation of Satellite-borne Lidar Echo Scenes

Zhang-Ye Wang, He-Ming Zhu, Jia-Wang Zhao, Wei-Bo Liao, Xiao-Yang Zhao
Satellite-borne Lidar is widely used for both atmospheric observation and terrestrial scene observation. However, in the existing Satellite-borne Lidar simulation system, it is hard for the users to simulate the Satellite-borne Lidar over different photorealistic scene interactively. In this paper, we...

Simulation Research on Control Strategy for Push-pull Forward DC-DC Converter

Zhen-Qiang Li, Xu-Liang Zhang, Xiang Wen
For the Push-pull Forward (PPF) DC-DC converter, in order to find an ideal control strategy, the mathematical model of the PPF DC-DC converter can be obtained by the small-signal analysis method. According to the mathematical model, we give three control strategies to design PID controller, Fuzzy controller...

Normal Distribution Random Number Simulation Application

Lei Wang, Zheng-Guo Liu
It was difficult to display the radar receiver noise realistically in radar simulated trainer. Analyzed the engender principle and characteristic of radar receiver noise. According to the method of changing uniformly distributed pseudorandom numbers to normally distributed pseudorandom numbers, put forward...

Air Distribution Simulation of Thermal Environment With Airpack Software In Ship Cabins

Hong-Min Liu, Ran-Ran Xu
The environment quality of ship cabins will directly affect the crew work efficient and health. In order to analyze the effect of different air-supply types on ship's cabin environment, one rest room of a ship was selected as the research object. Based on the computational fluid dynamics and numerical...

Parallel Strategy for the Large-Scale Data Streams Processing

Ya-Juan Yuan, Guo-Jie Ma
Large-scale data streams processing is import to data processing application. So we need to investigate the parallel strategy for the Large-scale data streams processing. Here we propose two parallel strategies to handle data streams in real time, and consider the power efficiency as an important factor...

Construction of Smart Campus Based on Situational Awareness in the Era Of Big Data

Yang Liu, Liang-Shan Shao
Big data as a new data management technology, based on the current Internet of things and cloud computing "smart campus" has an important role in the construction. "Smart campus" as an information construction of educational entities, the value of big data mining has a new significance. The combing of...

The Improved Full Search Algorithm for Motion Estimation with GPU Accelection

Zhuo Liu, Yi-Nan Lu, Tao Liu, Tian-Wen Yuan
Robust motion vector estimation algorithm plays an important role in video processing. Block matching algorithm for motion estimation as a mature search technique has been widely used in video applications because of its simplicity and easy implement. To increase the accuracy of motion vector prediction,...

Network Forensic Analysis via Vulnerability Evidence Reasoning

Cheng-Yue Chang, Jing-Sha He
In this article, we propose a novel method that uses vulnerability evidence reasoning in network forensics analysis. Central to our method is the evidence graph model to support evidence presentation and reasoning. Based on the evidence graph, we propose a network forensics method that built the evidence...

Modelling and an SS Approach for the Parallel Production Lines Scheduling Problem

Hui-Zhi Ren, Han Xu
A special parallel machine scheduling problem is studied and formulated into a mixed integer programming model, considering setup time and time window. A valid inequality is deduced and improved with the setup time consideration. An relaxed IP model with valid inequality can provide a primary cable assignment...

Code Similarity Detection by Program Dependence Graph

Zhen Zhang, Hai-Hua Yan, Xiao-Wei Zhang
Existing tools are rarely able to check semantic similarity code. Although some tools consider the programs' semantics, but their detection efficiency is not high. At the same time, function splitting problem confused graph-based tools. In this paper, We propose a approach which combines the software...