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IEEE Region 10 Symposium on Technologies for Smart Cities (TENSYMP)

作者： Vinod, B. R. Shiny, G. Baiju, M. R. CET Power Elect Res Lab Dept E&C Trivandrum Kerala India

ISBN: (纸本)9781509062553

The work suggests a space vector modulated direct torque control method to suppress the harmonic spikes. The control circuit of the presented drive utilizes a three phase five level (5-level) inverter and an induction motor configured in open-end winding (OEW) topology. The 5-level inverter is realized using two 3-level inverters and each one is connected to two open ends of an induction motor (IM). The scheme uses 60 degree coordinate system to minimize calculation complexity of the modulation algorithm. The space vector modulation (svm) used in this scheme makes use of a fractal based approach for the identification of sectors and switching voltage space vectors. The hardware outputs of the prescribed work were compared with lower level inverter fed DTC drives. The speed controlling potential of the prescribed method is verified through experimental results.

关键词： direct torque control svm algorithm fractal approach open end winding induction motor

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Interpolation of Missing Data of Magnetic Flux Leakage in Oil Pipeline Based on Improved Supporting Vector Machine

Interpolation of Missing Data of Magnetic Flux Leakage in Oi...

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International Conference on Computer Systems, Electronics and Control (ICCSEC)

作者： Jiang, Lin Yang, Jinqi Hong, Xiaowei Zheng, Li Lu, Danyu Northeastern Univ Sch Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China Shenyang Highlight Technol Co Ltd Shenyang 110819 Liaoning Peoples R China

ISBN: (纸本)9781538635735

In the internal detection of submarine pipeline, the data exported from magnetic flux leakage detector may exist some missing data. In order to get accurate data, the magnetic flux leakage data should be preprocessed. The significant part of data preprocessing is to discriminate the missing data, and then to compensate these true values reasonably and effectively. In this paper, svm algorithm is used in the process of single-channel interpolation to random missing data firstly. Secondly, the svm traversal algorithm is proposed to achieve the interpolation of whole random missing data block. In order to improve the interpolation accuracy, an improved svm algorithm is then introduced. The svm traversal is carried out by using the axial data and the radial data respectively. Then based on the no missing values in the random missing data block, the least squares method is used to obtain the weight for interpolation of statistical missing data. Lastly, the real data exported from magnetic flux leakage detector is used to simulate. The interpolation results are compared with the BP neural network. The results show that this method is more feasible and effective.

关键词： svm algorithm Data interpolation MFL Texting

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Assessment of WorldView-3 Data for Lithological Mapping

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REMOTE SENSING 2017年第11期9卷 1132-1132页

作者： Ye, Bei Tian, Shufang Ge, Jia Sun, Yaqin China Univ Geosci Beijing Sch Earth Sci & Resources Beijing 100083 Peoples R China China Geol Survey Oil & Gas Survey Beijing 100083 Peoples R China China Aero Geophys Survey & Remote Sensing Ctr AG Beijing 100083 Peoples R China

The WorldView-3 (WV-3) satellite is a new sensor with high spectral resolution, which equips eight multispectral bands in the visible and near-infrared (VNIR) and additional eight bands in the shortwave infrared (SWIR). In order to meet the requirements of large-scale geological mapping, this paper assessed WV-3 data for lithological mapping in comparison with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Operational Land Imager (OLI/Landsat-8) data. The study area is located in the Pobei area of the Xinjiang Uygur Autonomous Region, where bedrock outcrops are widely distributed. The whole experiment was divided into six steps: data pre-processing, visual interpretation of various lithological units, samples procedure, lithological mapping by a support vector machine algorithm (svm), accuracy evaluation, and assessment. The results showed that the classification accuracy of WV-3 data was 87%, which kept 17% higher than that of ASTER data, 14% higher than that of OLI/Landsat-8 data, indicated that WV-3 data contained more diagnostic absorption features mainly thanks to its SWIR bands, and benefited by its high spatial resolution, as well. However, it also confirmed that there were some considerable flaws, such as the confusing identification of biotite-quartz schist. Overall, the WV-3 data is still the most promising data for geological applications currently.

关键词： WorldView-3 lithological mapping spectral and spatial assessment svm algorithm

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An improved HMM/svm dynamic hand gesture recognition algorithm

An improved HMM/SVM dynamic hand gesture recognition algorit...

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Annual Conference of the Chinese-Society-for-Optical-Engineering on Applied Optics and Photonics, China (AOPC)

作者： Zhang Yi Yao Yuanyuan Luo Yuan Chongqing Univ Posts & Telecommun Inst Automat Chongqing 400065 Peoples R China Chongqing Univ Posts & Telecommun Inst Optoelect Engn Chongqing 400065 Peoples R China

ISBN: (纸本)9781628418972

In order to improve the recognition rate and stability of dynamic hand gesture recognition, for the low accuracy rate of the classical HMM algorithm in train the B parameter, this paper proposed an improved HMM/svm dynamic gesture recognition algorithm. In the calculation of the B parameter of HMM model, this paper introduced the svm algorithm which has the strong ability of classification. Through the sigmoid function converted the state output of the svm into the probability and treat this probability as the observation state transition probability of the HMM model. After this, it optimized the B parameter of HMM model and improved the recognition rate of the system. At the same time, it also enhanced the accuracy and the real-time performance of the human-computer interaction. Experiments show that this algorithm has a strong robustness under the complex background environment and the varying illumination environment. The average recognition rate increased from 86.4% to 97.55%.

关键词： Dynamic gesture recognition HMM mode svm algorithm Human-computer interaction

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Forecasting Stock Market Movements Using Various Kernel Functions in Support Vector Machine 16

Forecasting Stock Market Movements Using Various Kernel Func...

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International Conference on Advances in Information Communication Technology and Computing

作者： Upadhyay, Ved Prakash Panwar, Subhash Merugu, Ramchander Panchariya, Ravindra Govt Engn Coll Bikaner Rajasthan India Mahatma Gandhi Univ Nalgonda Telangana India

ISBN: (纸本)9781450342131

In stock market forecasting achieving good prediction accuracy is always been a highly challenging task for researchers and financial analyst. Forecasting stock market needs to deal with the most volatile, non-parametric and non-linear data sets. Also there are various factors that may affect the growth of stock market. So in order to make a good stock market forecasting system we need to use all the parameters that may affect the market volatility. Support Vectors Machine (svm) have been found to be one of most efficient machine learning algorithm in modeling stock market prices and movements. Researchers are using these classification algorithms for so many years and have got a good predictive accuracy. Here in our research we have used svm algorithm to making prediction for CNX NIFTY index value. In our experiment we have compared prediction accuracy for various Kernel Types of svm.

关键词： svm algorithm stock market index value kernel types

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Implementation of Android-based Fall-detecting System 13

Implementation of Android-based Fall-detecting System

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13th IEEE International Conference on Signal Processing (ICSP)

作者： Jia, Huiyu Li, Meihui Ning, Yunkun Liang, Shengyun Li, Huiqi Zhao, Guoru Acad Sci Chinese Shenzhen Key Lab Low Cost Healthcare Shenzhen 518055 Peoples R China Acad Sci Chinese Shenzhen Inst Adv Technol Shenzhen 518055 Peoples R China Wuhan Res Inst Post & Telecommun Wuhan 430070 Hubei Peoples R China

ISBN: (纸本)9781509013456

Accidental falls are the main factors that endanger the health of elderly people in modern society. Timely and effective fall detection and alarm can reduce the risk of falls. With the increasing of the aging society, the design and development of the fall detection system which is portable, accurate and real-time, has gradually become one of the most urgent needs of the community. With the rapid development of mobile Internet, smart phones as another kind of wearable device have become essential products of people's life. Smart phone is portable and flexible, which can be built in various sensors. It can be used to monitor human motion data. In order to detect falls promptly and minimize the damage to the aged, a fall detection system based on Android phones was designed and implemented and a fall detection algorithm for phones was proposed in the paper. In this way, the elderly can detect falls without other equipment at any time. Meanwhile, the system integrated the phone system function greatly, provided a good platform for human-computer interaction in the detection, and gave remote alarm to help the elderly get timely rescue.

关键词： fall detection svm algorithm Decision Tree

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Protein Sequence Structure Prediction Using Artificial Intelligent Techniques 16

Protein Sequence Structure Prediction Using Artificial Intel...

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International Conference on Advances in Information Communication Technology and Computing

作者： Upadhyay, Ved Prakash Panwar, Subhash Merugu, Ramchander Govt Engn Coll Bikaner Rajasthan India Mahatma Gandhi Univ Nalgonda Telangana India

ISBN: (纸本)9781450342131

Predicting structure of the protein is one of the most significant application of modern computational biology. Researchers are working on this field for so many years and have been tried various approaches for getting a good accuracy for the prediction task. With advent of artificial intelligence techniques researchers have started to focus on using machine learning algorithms for the task of protein structure prediction. Also AI techniques provides much better accuracy as compare to traditional methods used previously for protein structure prediction. Here we have been surveyed research work done by the researchers for predicting protein structure using AI techniques. We have been studied top most highly cited articles published in this field and derived a complete summery report regarding the application of AI techniques in protein structure prediction.

关键词： Artificial Intelligence Protein structure Prediction Computational biology svm algorithm

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The three dimensional model of Ideological and Political Instructors

The three dimensional model of Ideological and Political Ins...

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International Conference on Smart City and Systems Engineering (ICSCSE)

作者： Wang, Feng Zhu, Wenjuan Wen, Quan Xu, Ting Chen, Guang Jiangxi Univ Tradit Chinese Med Coll Comp Nanchang 330004 Jiangxi Peoples R China Jiangxi Univ Tradit Chinese Med Coll Pharm Nanchang 330004 Jiangxi Peoples R China Univ Tradit Chinese Med Dept Student Affairs Nanchang 330004 Jiangxi Peoples R China Nanchang Yuzhang Middle Sch Dept Math Nanchang 330006 Jiangxi Peoples R China Jiangxi Univ Tradit Chinese Med Sch Econ & Management Nanchang 330004 Jiangxi Peoples R China

ISBN: (纸本)9781509055302

The University Ideological and political counselors as ideological communicators, has important role in the social stability and unity, with the country of thought right unified attention, more and more researchers take this as an important research project, played a very good effect, but with the diversification of education trend, how to carry out more quantitative analysis of Ideological and political instructors, this problem is an important project of scientific research personnel, establish based on the qualitative discussion on the quantitative model, through the establishment of three-dimensional model of University Counselors ideological and political considerations, the establishment of svm algorithm and expert system are introduced, have good robustness, high precision, consider the evaluation of the effectiveness of the fair.

关键词： expert system Ideological and political instructor svm algorithm three dimensional model

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"Mahoshadha", the Sinhala Tagged Corpus Based Question Answering System

"Mahoshadha", the Sinhala Tagged Corpus Based Question Answe...

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1st International Conference on Information and Communication Technology for Intelligent Systems (ICTIS)

作者： Jayakody, J. A. T. K. Gamlath, T. S. K. Lasantha, W. A. N. Premachandra, K. M. K. P. Nugaliyadde, A. Mallawarachchi, Y. Sri Lanka Inst Informat Technol Malabe Sri Lanka

ISBN: (纸本)9783319309330;9783319309323

"Mahoshadha" the Sinhala Question Answering Systems aims at retrieving precise information from a large Sinhala tagged corpus. This paper describes a novel architecture for a Question Answering System which summarizes a tagged corpus and uses the summarization to generate the answers for a query. The summarized corpuses are categorized according to a set of topics enabling fast search for information. K-Nearest Neighbor algorithms is used in order to cluster the summarized corpuses. The query will be tagged, the tagged query will be used to get more accurate results. Through the tagged query the question will be identified clearly with the category of the query. Support Vector Machine is used in order to both automate the summarization and question understanding. This will enable "Mahoshadha" to answer any type of query as well as summarize any type of Sinhala corpus. This enables the Question Answering System to be more useable through many applications.

关键词： Question answering Document summarization Document categorization svm algorithm k-NN classification

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Comprehensive analysis method model of Aerobics performance based on Artificial Intelligence 8

Comprehensive analysis method model of Aerobics performance ...

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8th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

作者： Lv, Li Ye, Chunjuan Tianjin Univ Technol & Educ Dept Phys Educ Tianjin 300222 Peoples R China

ISBN: (纸本)9781509023134

Aerobics is a new sport in our country. Because of different ethnic groups, there are differentiated competition. How to carry on the quantitative research to our country youth special skill is a major task to improve our athletes comprehensive quality and competitive ability of athletes. In this paper, based on the modern intelligent algorithm, the high precision classification performance of support vector machine is combined with the robustness of the genetic algorithm. In this paper, the young athletes as the research object, quantitative research on the physical fitness index, and establish the quantitative model of the intelligent evaluation of adolescent aerobics skills

关键词： svm algorithm genetic algorithm space design Aerobics

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