Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

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87 articles

Research of Face Recognition Method Use of MRA-Framework

Zhaoying Wu, Feng Ma, Wanshe Li
Of the face image after adding noise, face recognition rate of traditional PCA method will be significantly lowered, this paper will use orthogonal wavelet + PCA and wavelet frame + PCA methods to study it respectively. First, the face image processing plus noise, then decomposition the image under the...

A Lifelong Learning Approach for Improving Accurate Face Recognition

Zhangqu Yu
With the popularity of artificial intelligence and computer vision, an increasing number of software engineers attempt to make their systems be able to recognize the user, through the way of face recognition, e.g., Characteristic Points (i.e., CP)-based face recognition. Generally, the traditional CP-based...

A Simple Manner of Dynamic Gesture Recognition Based on Kinect

Fenggang Li, Xiangfei Jiang, Xiaobo Xia
The paper develops a simple method of dynamic gesture recognition based on the Kinect which is a new sensor from Microsoft in the environment of VS2010 combining Kinect for Windows SDK v1.8. Kinect sensors can track human bodies within their effective scope in real-time and obtain the depth of the corresponding...

The Analysis of Influence Factors and Identification of Speaker-Dependent Primi Speech Recognition

Lin Guo, Yang Bai, Jie Su, Wen-lin Pan, Tian-jun Zhang
The research object is an endangered minority language of Primi on the southern dialect. This paper takes isolated-word of Primi as the primitive and uses large vocabulary of speech corpora based on HTK. The effect of different quantity of vocabularies, the sample ratio of training and testing, and the...

Non-negative Tensor Factorization for Speech Enhancement

Liang He, Weiqiang Zhang, Mengnan Shi
This paper proposes an algorithm for speech enhancement by non-negative tensor factorisation. We group adjacent time-frequency matrices in the spectrograms together to form a tensor as a basic input in our algorithm. The non-negative tensor factorisation is followed to perform sound source separation...

Application of Data Mining Technology in Intelligent Environmental Protection Systems

Guikang Gao, Mingbo Xiao, Zhen Wang
Among the pollutants in the power industry emissions, sulfur dioxide so far has the most serious impact on the environment. In the desulfurization process, it is common to have data with complex correlations, high real-time, and huge amount. Data mining has become an important technique to deal with...

Investigation of Test Outcomes Supported by Graphs

Sylvia Encheva
Students’ knowledge assessment has occupied the attention of many researches pertaining to different disciplines. Recent areas of interest in this regard include availability of preliminary skills and status of latest obtained knowledge, self-assessment, grading methods, tests, hints, help functions,...

How to Assign Papers to Referees

Miki Hermann, Vincent Rudelli
We present an algorithm to distribute a possibly large number of papers among a smaller number of referees, each paper requiring k reports. The optimality criterion for the assignment is not based on a local view of each referee, but on a global performance of the whole k-assignment satisfying a fairness...

Mining Association Rules from Stream Data Based on the Dynamic Support

Jia Luo, Shihe Chen, Fengping Pan, Yaqin Zhu, Le Wu, Yaqi Sun, Chunkai Zhang
The Stream data exists in the field of industrial production, life activities, business transactions, and other fields. It is closely related to people’s life, production and so on. This paper proposes inter-transaction association rules mining method based on dynamic support threshold. Inter-transaction...

A Combined Co-location Pattern Mining Approach for Post-Analyzing Co-location Patterns

Yuan Fang, Lizhen Wang, Junli Lu, Lihua Zhou
The co-location pattern mining discovers the subsets of spatial features which are located together frequently in geography. However, the huge number of the co-location mining results limit the usability of co-location patterns. Furthermore, users hardly identify and understand the interesting knowledge...

Research on Combination of Quantitative Investment on the Shanghai A-Share Factor

Qing Sun
in a number of listed companies to choose stocks to invest in, stock-market investors are focused on the key issues. Based on Shanghai 180 index as a benchmark, net rates, earnings, municipal rates, cash flow increased four factor classification for quality, value growth three factors, construction quality-value,...

Research on the Architecture of Sky-Earth Collaborative Information Communication Network of GEI

Lan Su, Peizhe Xin, Yudong Wang, Yugan Yang, Chenchang Zhang, Geng Zhang
Aiming at the significant demand of GEI in ultra high voltage(UHV),ubiquitous smart grid, the use of the regenerative clean energy, the paper presents a new sky-earth collaborative information communication network architecture which delivers the centralized and distributed power, wind energy, solar...

LSTM Networks for Mobile Human Activity Recognition

Yuwen Chen, Kunhua Zhong, Ju Zhang, Qilong Sun, Xueliang Zhao
A lot of real-life mobile sensing applications are becoming available. These applications use mobile sensors embedded in smart phones to recognize human activities in order to get a better understanding of human behavior. In this paper, we propose a LSTM-based feature extraction approach to recognize...

Group Consensus of Multi-agent Networks With Multiple Time Delays

Lianghao Ji, Xinyue Zhao, Qun Liu, Yong Wang
This paper investigates the group consensus problem of first-order multi-agent networks with multiple time delays. By applying the theory of frequency-domain, we aim to propose some algebraic criteria such that the multi-agent networks can reach group consensus. From the results, it can be shown that...

A New Approach to the Definition of Information Diffusion and Confusion of Boolean Transformation

Lin Li, Zhiyin Kong, Fengmei Liu, Kun Li, Xiubin Fan
Mass, energy and information are the three important quantities in the physical world. The diffusion and confusion of information is the guiding ideology of cipher algorithm coding. Linear transformation is generally used to realize the diffusion of information and S-box is used to realize the confusion....

Research on Comparisons of Micro-blog’s Document Features

Jinyuan Zhou, Gaoyun Xia
The paper is to explore Micro-blog’s features, namely, whether it belongs to Document, the paper makes comparisons on definition, elements, information processing level, similarities and differences of ten documentary information sources, features and functions between Document and Micro-blog. The paper...

A Method for Knowledge Mining of Satellite State Association

Jing Zhao, Tianshe Yang, Ke Zhang, Xingmiao Liu, Na Fu, Xuhua Wang
This paper presents a new scheme for data mining in spacecraft state association and abnormal detection. A method which includes state association knowledge mining (SAKM) and Similar Density Merge Clustering (SDMC) is developed. Data from the satellite are the most critical thing for analyzing satellite...

Robustness Evaluation of Local Descriptors

Binquan Li, Xiaohui Hu
The descriptors should be robust to changes of images taken under various conditions in order to obtain correct recognition. In this paper, we compare the robustness of descriptors computed for local interest regions, for example, extracted by the Harris, SURF and MSER detector. Different descriptors...

Research on Three-Dimensional Reconstruction and Augmented Reality Demonstration for Foshan Ceramics

Jinsong Fan, Jun An
In this paper, regarding to the fragility and surface erosion problems of Foshan ceramics, we discussed the methodology and technology of 3D reconstruction and virtual demonstration for Foshan ceramic object and cultural relics. We adopted Reverse Engineering technology to rebuild the shape of object...

A Heuristic Interrupt Coalescing Approach for Improving High Performance Network

Huijun Wu, Jigang Wang
With the rapid development of cloud computing technology, high performance network has been widely deployed in commercial cloud computing centers. This gives rise to the challenge of how to deal with the heavy network flow between virtual machines staying on different physical servers. SR-IOV (Single...

Impulsive Synchronization of the Neural Networks with a Gui Chaotic Strange Attractor

Kaihua Wang, Zhanji Gui
in this paper, impulsive neural networks with a Gui chaotic strange attractor is studied. By employing the Lyapunov-like stability theory of impulsive functional differential equations, some criteria for synchronization between two impulsive neural networks are derived. An illustrative example is provided...

Comparison of IEEE802.16e and IEEE802.11n in QPSK with LDPC Minimum Sum Algorithm

Yihua Chen, Huating Syu, Zongyi Saio
In accordance with the approximate lower triangular parity check matrix standard of low-density parity-check codes in IEEE Standard 802.16e, this study used LabVIEW to write a variety of adjustable encoding patterns generated at the transmitter end within a single-program structure, including six groups...

End-to-end Delay of Switched Ethernet Based on Time Division Multiple Access

Jieqiong Zhou
Focusing on the access control of terminal equipment base on time division multiple access (TDMA), an experimental network based on the RTNET protocol was established. The real-time Linux kernel was reconstructed and RTNET protocol stack of real-time Ethernet was transplant in the paper. Based on the...

Deep Learning Applied to Mobile Phone Data for Individual Income Classification

Pål Sundsøy, Johannes Bjelland, Bjørn-Atle Reme, Asif M.Iqbal, Eaman Jahani
Deep learning has in recent years brought breakthroughs in several domains, most notably voice and image recognition. In this work we extend deep learning into a new application domain - namely classification on mobile phone datasets. Classic machine learning methods have produced good results in telecom...

Intelligent Solutions for Screening Employees with Skills in High Demand

Sylvia Encheva
Today’s project leaders face situations where workforce optimizations have to be considered not only under a project planning period but also a number of times through the entire project period. Such occurrences require efficient ways of selecting minimum number of employees with skills that are called...

Web-based User Interface Modeling and Automatic Mobile Web App Generation Tool

Kibong Choi, Saehwa Kim
This paper proposes a web-based logical user interface (UI) modeling and automatic mobile web App generation tool. Logical UI modeling is based on PELUM (Pattern and Event based Logical User Interface Modeling). PELUM is an effective embedded SW development methodology for UI centric embedded systems....

Development and Performance Evaluation of Fine Stage for 3-DOF Error Compensation

Jae-Chang Lee, Min-Jae Lee, Hoon-Hee Lee, Seung-Han Yang
In this paper, a fine stage based on parallel mechanism was developed for 3-DOF error compensation to improve the form accuracy of the workpiece. This mechanism with 3-DOF motions in the plane was designed as the parallel structure for minimization and high structural stiffness. The static and dynamic...

3D Scene Rendering Based on EEG Data Driven and the Application in Biofeedback Therapy

Xinliang Wei, Wei Sun
Using human biological signs to drive the scene and control the object in the scene, has important significance in the development of the virtual reality technology. Through human biological signs to drive the virtual scene, the user get a better sense of immersion. They also can control their own situation...

App Development on Operation and Maintenance Management of Seismic Network Based on the Mobile Terminal

Bo Bi, Peiyu Zhu, Peng Wang
In order to ensure the normal operation of equipment in the seismic network, the key job is rapid and effective fault response and exclusion. App development on operation and maintenance management of seismic network based on the mobile terminal is an effective method, which includes IOS system and Android....

Dependencies between Pre-existing and Newly Obtained Knowledge

Sylvia Encheva
Computation skills in mathematics play an essential role in developing students’ abilities to handle procedurally oriented tasks. Reasoning on the other hand, being a higher-order cognitive ability, supports recognition of patterns and relationships. Finding correlations between students’ performance...

High Order Thinking Skills and Their Effect on Knowledge Accumulation

Sylvia Encheva
Knowledge and skills students gather for a period of time is difficult to estimate. Learning is effected by a number of factors and prior knowledge is among the very important ones. Despite existence of a substantial amount of tests for assessing newly obtained knowledge and skills, there is still a...

Comprehensive Evaluation for Electric Power Information Security Based on Set Pair Analysis

Shouming Ma
the safe and stable operation of the information system has become the key content of the information works in the electric power industry. In order to establish a unified enterprise-level security evaluation system, a new comprehensive evaluation method based on set pair analysis (SPA) was proposed...

Management of the Equipment Status in the Telecommunication Room Based on Sensors and RFID

Shan Yang, Feng Guo, Jinhui Zhao, Yuan Liu, Longjun Deng, Jinjun Xu
In order to realize the online monitor of the environment and energy consumption of the telecommunication room, we employed the environment sensor to monitor the temperature, humidity, and water leaching of the telecommunication room. Meanwhile, energy consumption sensors were utilized to monitor the...

Sharing Knowledge through Social Media: The Influence of National Cultures

Ginevra Gravili
This paper aims to understand if knowledge sharing through social media is suitable for all types of cultures and if cultural dimensions can interfere or facilitate the diffusion of information.

Design and Development of Training System for Teaching on Blast Furnace Mechatronics

Ye Sun, Ren Chen, Zuoliang Zhang, Meng Li, Yan Liu, Mingxia Feng, Huishu Zhang, Yan Cui
Based on the practical teaching requirements of metallurgical engineering, a cold position training device on blast furnace was designed in line with actual production. The control system adopts the integrated control cabinet and its design of the training device is implemented by the PLC of Siemens...

Design and Development of Training System for Teaching on Melter Gasifier Mechatronics

Ye Sun, Ren Chen, Zuoliang Zhang, Meng Li, Yan Liu, Mingxia Feng, Huishu Zhang, Yan Cui
Based on the practical teaching requirements of metallurgical engineering, a cold position training device on the melter gasifier was designed in line with actual production. The control system adopts the integrated control cabinet and its design of the training device is implemented by the PLC of Siemens...

Design and Development of Training System for Teaching on Shaft Furnace Mechatronics

Ye Sun, Ren Chen, Zuoliang Zhang, Meng Li, Yan Liu, Mingxia Feng, Huishu Zhang, Yan Cui
Based on the practical teaching requirements of metallurgical engineering, a cold position training device on the shaft furnace was designed in line with actual production. The control system adopts the integrated control cabinet and its design of the training device is implemented by the PLC of Siemens...

Design and Development of Training System for Teaching on Sintering Mechatronics

Ye Sun, Ren Chen, Zuoliang Zhang, Meng Li, Yan Liu, Mingxia Feng, Huishu Zhang, Yan Cui
Based on the practical teaching requirements of metallurgical engineering, a cold position training device on sinter was designed in line with actual production. The control system adopts the integrated control cabinet and its design of the training device is implemented by the PLC of Siemens S7-300...

Large Scale Network Topology Visualization System Based on Three.JS

Yuxiao Wang, Yuanzhang Li, Yu'an Tan, Quanxin Zhang, Jun Zheng
with the rapid development of visualization, network visualization has become an important branch, which is applied in many aspects of life such as business, education and virtual community. But existed network visualization systems are based on small volume and static effect. Along with the incessant...

The Design and Implementation of a Kind of “Data Structure” Visualized CAI Software

Zhao Wang, Hui Ma
Data structure and algorithm is one of the core courses in computer science. The textbook “Algorithm and Data Structure: C language description " edited by Naixiao Zhang, Professor of Peking University, is one of the national higher education quality teaching materials in China. The software was built...

ViSP: A Cloud-based Virtual Smartphone Platform

Jiajun Wang, Jigang Wang, Peng Yang, Zhicheng Ma, Lei Zhang, Gang Wang
Smartphones have become increasingly ubiquitous in our daily life. However, mobile devices are less powerful than traditional devices like desktops and laptops. And the hardware resources of each mobile device also vary widely which leading to different user experiences of smartphone users. This paper...

A Use of Assignment Sheet with Image Processing Technology Based on MFC

Ying’ang Zhang, Ji Sun, Ran Zhu, Fan Zhang
To solve the problem of the inconvenience of the work correction traditionally, the author designed an electronic assignments correcting system based on traditional homework paper pattern. According to image processing technology based on MFC, it realizes the functions of the image recognition, partition...

SimStore: Efficient Data Management for Network Propagation Simulation

Dacheng Qu, Lin Zhang, Zhao Cao
Simulation is widely adopted in large scale network propagation analytics. Plenty of analytics scenarios require to retrieve, review the simulation status of a given time points or interval. Unfortunately, it is unaffordable to re-run the simulation due to the long running time and other costs in many...

Existence of Solutions to Generalized Vector Quasi-equilibrium Problems with Set-Valued Mappings

Yali Zhao, Hong Lu, Chao Wang
In this paper, we introduce and study a class of generalized vector quasi-equilibrium problems, which includes generalized vector quasi-variational-like inequality problems, generalized vector equilibrium problems, generalized vector variational inequality problems as special cases. We use the maximal...

Research on Real-world Multidimensional Stroke Ontology and Its Reasoning for Construction of the Evolution Model

Luan Gao, Fenggang Li, Jian Wang, Zhenguo Wang, Lin Luo, Xiaozhi Gao
The research planed to gather and standard the real world stroke clinical data from clinica to construct a stroke ontology corpus, through refactoring and sharing of data, established a multi-dimensional stroke ontology. And based on stroke diagnosis and treatment process, it integrated the evolution...

Distance and Similarity Measures for Intuitionistic Hesitant Fuzzy Sets

Xiuming Chen, Jingming Li, Li Qian, Xiande Hu
As generalize of the hesitant fuzzy sets, intuitionistic hesitant fuzzy sets (IHFSs), which permits a memberships degree and a non-membership degree of an element to a given set, can be considered as a useful tool to express uncertain information in the human decision making process. Based on the traditional...

An Apriori Based Algorithm Associated Point Line Pattern Applied in Seismic Spatial Data

Yuan Zhou, Lianxiong Gao
earthquake data in spatial database include two typical types point and line feature, this paper propose an algorithm based on apriori for analysis spatial association pattern during point and line feature, and description algorithm process. since the algorithm is a probability-based mining algorithm,...

Random Forest Regression Based on Partial Least Squares Connect Partial Least Squares and Random Forest

Zhulin Hao, Jianqiang Du, Bin Nie, Fang Yu, Riyue Yu, Wangping Xiong
Partial Least Squares (PLS) Regression is lack of theoretical guidance of rules to achieve the nonlinear by the quasi linearization rule, and its accuracy declines in the face of the unknown variables distribution. Furthermore, the loss of information is easy to arise for the mean processing of the leaf...

Enhancement in Realistic Fluid Re-simulation

Yahui Song, Hongyan Quan, Yuwen Huang
Re-simulating a 3D fluid result from video while retaining and rendering details is significant in practice, which still remains a difficult task in spite of rapid advancements in this field during the last two decades. Physically driven models can be easily extended to handle fluid, yet they are unable...

Optimization of Rainfall Sensor Network Layout Based on the Correlation Coefficient Method

Hongling Zhao, Haibo Yang, Zongmin Wang
The unreasonable layout of rain sensor networks results in various problems, such as the redundancy of observation nodes, large daily maintenance overhead, and the difficulty of solving faults in real time. A sensor network optimization algorithm based on the correlation coefficient method is proposed...