Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

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126 articles

A Transmission Probability Control Algorithm Based on Competing Node Estimation in MANET

Shentao Wang, Xiaoli Liu, Jingwen Sui, Shengze Qiang, Rui Li, Junqiang He
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,...

Damage Identification of Frame Structure by Wavelet-Genetic Algorithm

Deqing Guan, Tao He, Jun Tang
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...

Optimized TF-IDF Algorithm with the Adaptive Weight of Position of Word

Jie Chen, Cai Chen, Yi Liang
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...

An Efficient Character Segmentation Algorithm for Offline Handwritten Uighur Scripts Based on Grapheme Analysis

Yamei Xu, Panpan Du
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,...

A Synchronous and Closed-Loop Architecture of BCI-Based Rehabilitation System for Stroke with Robot and Virtual Reality

Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Shaobo Liu
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...

Developing A Fire Monitoring and Control System Based on IoT

Yi Li, Jianjun Yi, Xiaoming Zhu, Zhuoran Wang, Fangwen Xu
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...

Optimization Method of Wavelet Neural Network for Suspension Bridge Damage Identification

Deqing Guan, Jie Li, Jun Chen
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,...

A General Gender Inference Method Based on Web

Hong Yang, Yali Yuan
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...

IKNN-SVM: A Hybrid Incremental Algorithm for Image Classification

Huimin Che, Bo Ding, Huaimin Wang, Ben Hu, Huifang Che
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....

An Efficient Method for Air Quality Evaluation via ANN-based Image Recognition

Xiaoguang Chen, Yaru Li, Dongyue Li
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...

An Approach for Detecting Human Posture by Using Depth Image

Xianshan Li, Maoyuan Sun, Xiuxiu Fang
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...

Using the Pattern Function of Angular Momentum Improve the Directivity of Binary Antenna Array

Jiangmei Tang, Bin Yao, Qinhong Zheng
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...

An Empirical Study on Energy Disaggregation via Deep Learning

Wan He, Ying Chai
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...

Design and Implementation of an Intelligent Enter-prise Email Filter Based on Service Plugins

Jing Zhang, Jianmin Yao, Ling Zhang, Qihua Zhang
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....

Research on Meat Product Traceability System Based on Two Dimensional Code

Yanbai Wang, Lu Tan
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...

Online Monitoring of Three Dimensional Ledge Profile of Aluminum Electrolytic Cell

Zhengguang Xu, Liling Song, Mingsheng Ju, Yu Xue
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...

Research on the Continuous Use Intention of Government Portals Based on Grounded Theory

Zhiwei Tang, Jing Tan, Zepeng Gong, Xiao Han, Seth kwame sakyi Arthur
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...

Gaming as Educational Technology and the Evaluation of Gaming Results-The Experiment of Sweden Game

Masashi Kawaguchi, Takeshi Kougo, Hideyuki Kanematsu, Norio Baba
In this research, we conducted the Sweden game and described its educational effect. The Sweden game is one way to determine cost-sharing for the construction of a pipeline. Three groups of about 40 students were used, with each group consisting of six teams. A good solution was obtained. Additionally,...

Artificial Intelligence Applications of Hazardous Mitigation for Transport Aircraft in Severe Atmospheric Turbulence

Ray C. Chang
This paper presents a new study of artificial intelligence applications through the simulation of improved control strategy to provide the mitigation concepts and formulate preventive actions for aircraft operation. The fuzzy-logic modeling (FLM) technique is used to establish flight control models with...

A User Interest Recommendation Based on Collaborative Filtering

Wenqi Wu, Jianfang Wang, Randong Liu, Zhenpeng Gu, Yongli Liu
The traditional collaborative filtering algorithm cannot response user interest with time and is lack of time effectiveness. These problems lead to poor recommendation quality. On the basis of the neighbor-based collaborative filtering, a fused method of improved similarity and user interest is proposed....

The Research of Grade Prediction Model Based on Improved K-means Algorithm

Yongguang Zhang, Hua Wang, Hongyang Li
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...

Research on Influence of Milling Parameters on Machining Deformation of Rectangular Thin- Walled Parts

Jing Li, Ping Xi, Yang Jiao
Aiming at the problem that the machining accuracy of rectangular thin-walled parts are difficult to ensure because of poor rigidity and machining deformation which is easy to produce extremely, it used the three-dimensional finite element method and did analysis and calculation of rectangular thin-walled...

Design of A New Type Thrust Measuring System for Micro-turbojet Engine

Hongji Zhu, Farong Du, Shuai Zhao, Zheng Xu, Zhan Lv
In order to measure thrust of the micro-turbojet engine accurately, a new type of thrust measurement system was designed. The measuring system includes test bench, load cells, data acquisition modules and computer. The test bench utilizes a suspended test bed, which is different from the test bench supported...

Experimental Study and Application Analysis of Chemical Curing Soil

Mao Lin, Yanfeng Tian, Xiaoqing Yu, Gongli Hu
Based on the curing mechanism of soil stabilizer, use 'Toogood'soil stabilizer to solidify soil and study the curing effect. To obtain the best curing agent stabilized soil mixing ratio, this paper analyzed the soil particles, the compaction test and unconfined compressive strength test. Mix in the best...

The Correlation Analysis of Clean Energy Output Based on Nonparametric Kernel Density Estimation Probability Models

Xiaolin Qin, Yonggang Li, Chao Shen, Zengqiang Zhang, Xuyao Zeng
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...

The Classification Model of Customer Groups Based on Grader

Tao Xi, Lijing Wang
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...

Simulation-based Prediction Model of the Auto-body Multi-Stage Forming Process

Dong-Guk Han, Dong-Won Jung
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...

Remember-All Based Frontier Allocation for Multi-Robot Coverage in Unknown Environments

Sushil Parti, Dan Wu
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...

Application of Design Patterns in Development of Reusable GIS Symbol Library

Xiaojian Li, Jianxun Chen
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...

The Design and Realization of University E-voting System

Haibo Zhang, Shuyuan Shang, Wenfeng Zhai, Chunyan Zhang, Ying Zhang
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...

Research and System Design of Traceability System for Food Safety

Yanbai Wang, Lu Tan
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...

Research of Ontology based Battlefield Scenario Generation Systems

Dongsu Jeong, Dohyun Kim, Yoonho Seo
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...

Path-Planning of a Certain UAV Using Neural-Network Method

Jie Li, Li Li
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...

Combining FFT and Spectral-Pooling for Efficient Convolution Neural Network Model

Zelong Wang, Qiang Lan, Dafei Huang, Mei Wen
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...

Cascaded Hallucination-Classification Deep Network for Low-Resolution Face Recognition in the Wild

Zheyu Zhang, Peter Cheung
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...

The 750kV Transformer Condition Assessment Based on Improved Grey-Target

Xi He, Ruiping Zhang, Haiying Dong
In view of the 750kV transformer that has high voltage, high insulation level, and heavy load all the years.This paper analysis the monitor data to obtain characteristic parameters which can reflect the transformer healthy conditions. On the basis of traditional Grey target theory, It uses the improved...

Behavior and Intention in MOOCs Research

Bing Wu, Chenyan Zhang
Although many efforts have been done on Massive Open Online Courses (MOOCs) contexts, how to understand the behavior and intention of individuals is a key issue in MOOCs. This article focuses on a review of both behavior and intention concerning MOOCs from science citation index expanded (SCI-EXPANED)...

Application of Artificial Intelligence to Cross-Screen Marketing: A Case Study of AI Technology Company

Te Fu Chen, Tsai-Fong Tan, Chieh-Heng Ko
The study constructs a framework for a multi-screen marketing platform through comprehensive analysis of theory and practice, the model provides practical insights and strategies to help marketers successfully deliver against business goals, while they implement the application of artificial intelligence...

Improved Collision Cryptanalysis of Authenticated Cipher MORUS

Tairong Shi, Jie Guan, Junzhi Li, Pei Zhang
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...

Integrated Design Method Research on Performance and Reliability of Ship Steam Turbine

Xiaojie Zhang, Sheng Hong, Longlong Sun, Hao Yuan, Xiaorui Zhang
For the integrating combination problems of performance and reliability on ship products, the collaborative design architecture of multi-characteristics of ship mechanical and electrical products is researched. And on the case of integration design of ship steam turbine performance and reliability, the...

Structural Phase Transitions of Low-Carbon Alloy Steels during Electrolytic-Plasma Processing

K. K. Kombaev, E. Kozha, D. U. Smagulov, B. Sadeh
We investigated 18XH3MA-SH steel, hardened by electrolytic-plasma treatment. Scanned surface transient analysis showed that during the electrolytic-plasma chemical modification of the surface heating occurs together with details of the release.

Key Research of Pre-processing on Mongolian-Chinese Neural Machine Translation

Jian Du, Hongxu Hou, Jing Wu, Zhipeng Shen, Jinting Li, Hongbin Wang
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...

A General Conceptual Model of Recommendation Based on Multi-Agent Approach

Xunhui Zhang, Tao Wang, Gang Yin, Xinjun Mao, Huaimin Wang
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...

Robust Model for Multimodal Location of the Hazmat under Uncertainty

Liping Liu, Zipeng Yi
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...

Penalty-PSO Algorithm for Sequencing Mixed Model Assembly Line

Chenglong Lu, Bo Zhu, Beibei Liu, Yuwei Wan
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...

A Comparative Analysis toward Two Famous Smart-Tourism by Integrated Dynamic-Programming & Project Appraisal Model

Tianhang Huang, Nan Zhang
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...

Adaptive Model of Data Exchange for Cross-System Interaction

Tatiana Penkova, Anna Korobko, Artem Belorusov
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...

A Fast Depth Intra Mode Selection Algorithm

Jieling Fan, Qiang Li, Jianlin Song
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...

Research of Reactive Power Planning Optimization Based on Improved Adaptive Genetic Algorithm for Wind Power Plant

Shijie Liu
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...

Research on Optimization of Generator Grid-Related Parameters Based on Double-Stranded Quantum Genetic Algorithm

Yan Xu, Lixin Fan, Yunqian Li, Zhong Chen
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...