The Hertz contact theory remains the foundation for almost all of the available contact force models, but by itself, it is not appropriate for most impacts in practice due to the amount of energy dissipated during the impact. So, there are several dissipative contact force models that considering the damping term based on the Hertz contact force model, the article mainly does the research to several typical dissipative contact force model including the Hunt-Crossley model, Lankarani-Nikravesh model and Gonthier model, analysis their difference and scope of application, the results show that: for the collision which the material has the high coefficient of restitution, three dissipative models are closed and both has a good precision, for the collision with low coefficient of restitution, that Gonthier model is more suitable.
{"title":"Research on Collision with Low Restitution Coefficient","authors":"He Jian, Ma Ji-sheng, Wu Dalin, Deng Shijie","doi":"10.1109/AITS.2015.30","DOIUrl":"https://doi.org/10.1109/AITS.2015.30","url":null,"abstract":"The Hertz contact theory remains the foundation for almost all of the available contact force models, but by itself, it is not appropriate for most impacts in practice due to the amount of energy dissipated during the impact. So, there are several dissipative contact force models that considering the damping term based on the Hertz contact force model, the article mainly does the research to several typical dissipative contact force model including the Hunt-Crossley model, Lankarani-Nikravesh model and Gonthier model, analysis their difference and scope of application, the results show that: for the collision which the material has the high coefficient of restitution, three dissipative models are closed and both has a good precision, for the collision with low coefficient of restitution, that Gonthier model is more suitable.","PeriodicalId":196795,"journal":{"name":"2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130148825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The advance of sensor and networking technologies led to the development of many WSN-based context-aware applications. Especially, WSN-based indoor location-based services (LBS) have been studied recently. To understand the sensing data in those context-aware applications, we need to abstract the low-level sensor data into high-level context information to understand the data and transmit/process/store them with low cost. In the manuscript we propose the sensor data modeling framework for beacon-based indoor LBS application. The proposed framework derives the current location, the velocity and the trajectory of the user based on the distance to the indoor beacons. We can adopt the proposed framework to shorten the time and effort to develop indoor LBS application SW.
{"title":"A Modeling Framework for Sensor Data in Indoor Location-Based Services","authors":"S. Moon, H. J. Kim","doi":"10.1109/AITS.2015.26","DOIUrl":"https://doi.org/10.1109/AITS.2015.26","url":null,"abstract":"The advance of sensor and networking technologies led to the development of many WSN-based context-aware applications. Especially, WSN-based indoor location-based services (LBS) have been studied recently. To understand the sensing data in those context-aware applications, we need to abstract the low-level sensor data into high-level context information to understand the data and transmit/process/store them with low cost. In the manuscript we propose the sensor data modeling framework for beacon-based indoor LBS application. The proposed framework derives the current location, the velocity and the trajectory of the user based on the distance to the indoor beacons. We can adopt the proposed framework to shorten the time and effort to develop indoor LBS application SW.","PeriodicalId":196795,"journal":{"name":"2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123835272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdalla Mostafa, Mohamed Abd Elfattah, A. Fouad, A. Hassanien, H. Hefny, Tai-hoon Kim
In this paper, it is intended to enhance the simple region growing technique (RG) to extract liver from the abdomen away from other organs in CT images. Iterative K-means clustering technique is used as a preprocessing step to pass the image to region growing and watershed segmentation techniques. The usage of K-means and region growing is preferred here for its simplicity and low cost of execution. The proposed approach starts with cleaning the annotation and enhancing the boundaries of the liver. This is performed using texture filter and ribs connection algorithm, followed by iterative K-means. K-means removes the clusters with higher intensity values. Then region growing is used to separate the whole liver. Finally, comes the role of watershed that divides the liver into a number of regions of interest (ROIs). The experimental results show that the overall accuracy offered by the proposed approach, results in 92.38% accuracy.
{"title":"Region Growing Segmentation with Iterative K-means for CT Liver Images","authors":"Abdalla Mostafa, Mohamed Abd Elfattah, A. Fouad, A. Hassanien, H. Hefny, Tai-hoon Kim","doi":"10.1109/AITS.2015.31","DOIUrl":"https://doi.org/10.1109/AITS.2015.31","url":null,"abstract":"In this paper, it is intended to enhance the simple region growing technique (RG) to extract liver from the abdomen away from other organs in CT images. Iterative K-means clustering technique is used as a preprocessing step to pass the image to region growing and watershed segmentation techniques. The usage of K-means and region growing is preferred here for its simplicity and low cost of execution. The proposed approach starts with cleaning the annotation and enhancing the boundaries of the liver. This is performed using texture filter and ribs connection algorithm, followed by iterative K-means. K-means removes the clusters with higher intensity values. Then region growing is used to separate the whole liver. Finally, comes the role of watershed that divides the liver into a number of regions of interest (ROIs). The experimental results show that the overall accuracy offered by the proposed approach, results in 92.38% accuracy.","PeriodicalId":196795,"journal":{"name":"2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131011157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For single edge detection methods causing important and weak gradient change edge missing problems, this paper adopts the method of combining global with local edge detection to extract edge. The global edge detection can obtain the whole edge, which uses adaptive smooth filter algorithm based on Canny operator. Compared with effect of edge detection from the Canny operator and Sobel operator, the edge from improved Canny operator is the most complete and rich, do not contain false edge. To the whole detection failed to get the edge, the paper selects local area detection method for edge extraction. Local edge detection which uses distance weighted average method based on k-average method can overcome the impact of outliers on clustering effectively. Complete skull image edge is got through edge detection method that combines global with local. Compared with the Canny edge detection method, this algorithm can extract image edge effectively, and have the powerful anti-noise ability.
{"title":"Adaptive Image Edge Detection Algorithm Based on Canny Operator","authors":"Liying Yuan, Xue Xu","doi":"10.1109/AITS.2015.14","DOIUrl":"https://doi.org/10.1109/AITS.2015.14","url":null,"abstract":"For single edge detection methods causing important and weak gradient change edge missing problems, this paper adopts the method of combining global with local edge detection to extract edge. The global edge detection can obtain the whole edge, which uses adaptive smooth filter algorithm based on Canny operator. Compared with effect of edge detection from the Canny operator and Sobel operator, the edge from improved Canny operator is the most complete and rich, do not contain false edge. To the whole detection failed to get the edge, the paper selects local area detection method for edge extraction. Local edge detection which uses distance weighted average method based on k-average method can overcome the impact of outliers on clustering effectively. Complete skull image edge is got through edge detection method that combines global with local. Compared with the Canny edge detection method, this algorithm can extract image edge effectively, and have the powerful anti-noise ability.","PeriodicalId":196795,"journal":{"name":"2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126144139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chunyong Yin, Jun Xiang, Hui Zhang, Jin Wang, Zhichao Yin, Jeong-Uk Kim
Short text is a popular text form, which is widely used in short commentary, micro-blog and many other fields. With the development of the social software and movie websites, the size of data is also becoming larger and larger. Most data is useless for us while other data is important for us. Therefore, it is very necessary for us to extract the useful short text from the big data. However, there are some problems such as fewer features, irregularity on the short text classification. To solve the problem we should pretreat the short text set and choose the significant features. This paper use semi-supervised learning and SVM to improve the traditional method and it can classify a large number of short texts to mining the useful massage from the short text. The experimental results also show a good improvement.
{"title":"A New SVM Method for Short Text Classification Based on Semi-Supervised Learning","authors":"Chunyong Yin, Jun Xiang, Hui Zhang, Jin Wang, Zhichao Yin, Jeong-Uk Kim","doi":"10.1109/AITS.2015.34","DOIUrl":"https://doi.org/10.1109/AITS.2015.34","url":null,"abstract":"Short text is a popular text form, which is widely used in short commentary, micro-blog and many other fields. With the development of the social software and movie websites, the size of data is also becoming larger and larger. Most data is useless for us while other data is important for us. Therefore, it is very necessary for us to extract the useful short text from the big data. However, there are some problems such as fewer features, irregularity on the short text classification. To solve the problem we should pretreat the short text set and choose the significant features. This paper use semi-supervised learning and SVM to improve the traditional method and it can classify a large number of short texts to mining the useful massage from the short text. The experimental results also show a good improvement.","PeriodicalId":196795,"journal":{"name":"2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125194873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While a defense system is being acquired using simulation-based acquisition (SBA), part of the system would be described as hybrid systems that have both discrete and continuous components. Also we need to quantify the benefits of SBA somehow in order to clearly determine them. In this paper we propose a method for cost estimation of hybrid system models that are specified based on a formalism for modeling and simulation. Existing estimation methods designed for discrete or continuous system models cannot be directly applied to the estimation since they leave the interaction between the components out of consideration. On the contrary the proposed method estimates the cost in a 'rough order of magnitude' manner through measuring discrete and continuous factors of a model as well as another factor of their correlation.
{"title":"Cost Estimation of Hybrid System Models in Simulation Based Acquisition","authors":"Hae Young Lee, Hyung-Jong Kim","doi":"10.1109/AITS.2015.21","DOIUrl":"https://doi.org/10.1109/AITS.2015.21","url":null,"abstract":"While a defense system is being acquired using simulation-based acquisition (SBA), part of the system would be described as hybrid systems that have both discrete and continuous components. Also we need to quantify the benefits of SBA somehow in order to clearly determine them. In this paper we propose a method for cost estimation of hybrid system models that are specified based on a formalism for modeling and simulation. Existing estimation methods designed for discrete or continuous system models cannot be directly applied to the estimation since they leave the interaction between the components out of consideration. On the contrary the proposed method estimates the cost in a 'rough order of magnitude' manner through measuring discrete and continuous factors of a model as well as another factor of their correlation.","PeriodicalId":196795,"journal":{"name":"2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128527563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Due to the limitation of hardware, Infrared (IR) image has low-resolution (LR) and poor visual quality. Infrared image super-resolution (SR) is a good solution for this problem. However, the conventional SR methods have some drawbacks. Firstly, the trained dictionary is an unstructured dictionary, which may lead to worse results. Secondly, the representation of the image is too simple to effectively represent image. To resolve these problems, in this paper, firstly, the sparse dictionary is introduced into the IR image SR to get better results. Secondly, nonsubsampled contour let transform (NSCT) is employed in the proposed method to obtain a better representation of IR image. The experiment results indicate that the subjective visual effect and objective evaluation are acquired excellent performance in the proposed method. Besides, this method is superior to other methods in the paper.
{"title":"Infrared Image Super-Resolution by Using Sparse Dictionary and Nonsubsampled Contourlet Transform","authors":"Kangli Li, Wei Wu, Xiaomin Yang, Yingying Zhang, Binyu Yan, Wei Lu, Gwanggil Jeon","doi":"10.1109/AITS.2015.20","DOIUrl":"https://doi.org/10.1109/AITS.2015.20","url":null,"abstract":"Due to the limitation of hardware, Infrared (IR) image has low-resolution (LR) and poor visual quality. Infrared image super-resolution (SR) is a good solution for this problem. However, the conventional SR methods have some drawbacks. Firstly, the trained dictionary is an unstructured dictionary, which may lead to worse results. Secondly, the representation of the image is too simple to effectively represent image. To resolve these problems, in this paper, firstly, the sparse dictionary is introduced into the IR image SR to get better results. Secondly, nonsubsampled contour let transform (NSCT) is employed in the proposed method to obtain a better representation of IR image. The experiment results indicate that the subjective visual effect and objective evaluation are acquired excellent performance in the proposed method. Besides, this method is superior to other methods in the paper.","PeriodicalId":196795,"journal":{"name":"2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131036903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Enterprise Modeling is the key of information system development, because it is a decision support tools methods of collection of enterprise information. This paper produced a new modeling method that integrated IDEF and UML, established some models with one instance, analyzed the modeling steps. The method can help the modeling engineers in various fields build and test the specialized models of their own based on an integrated IDEF models.
{"title":"Enterprise Modeling Based on IDEF and UML","authors":"Hongmei Yu, D. Wu","doi":"10.1109/AITS.2015.22","DOIUrl":"https://doi.org/10.1109/AITS.2015.22","url":null,"abstract":"Enterprise Modeling is the key of information system development, because it is a decision support tools methods of collection of enterprise information. This paper produced a new modeling method that integrated IDEF and UML, established some models with one instance, analyzed the modeling steps. The method can help the modeling engineers in various fields build and test the specialized models of their own based on an integrated IDEF models.","PeriodicalId":196795,"journal":{"name":"2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127371952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
According to the needs of the ground clean, this paper designed the reverse self-cleaning car, Which has a function of cleaning, reverse cleaning and self-cleaning, Using artificial thrust power, without any electric device, the device has simple structure and integrated functions, this ensure the economy and practicability.
{"title":"The Design of the Reverse Self-Cleaning Car","authors":"Ye Jingbo","doi":"10.1109/AITS.2015.23","DOIUrl":"https://doi.org/10.1109/AITS.2015.23","url":null,"abstract":"According to the needs of the ground clean, this paper designed the reverse self-cleaning car, Which has a function of cleaning, reverse cleaning and self-cleaning, Using artificial thrust power, without any electric device, the device has simple structure and integrated functions, this ensure the economy and practicability.","PeriodicalId":196795,"journal":{"name":"2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121841723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As a typical nonlinear and dynamic balancing system, the two wheeled self balancing vehicle has become more and more popular because of its small size, flexible rotation, energy-saving and emission reduction. The design and production of two wheeled self balancing vehicle based on the study of Kalman filter and angle fusion, use the STM32 control chip, ADXL335 accelerometer and IDG655 gyroscope as the attitude sensing system, the PID control algorithm to adjust the PWM output to adjust motor speed to change the motion state of the vehicle. By field test, the system works stably and achieves the design purpose of the manned operation.
{"title":"Design and Realization of Two-Wheeled Auto-Balancing Vehicle","authors":"Shuangquan Li, Lingyong Kong, Xinxin Nie, Jian Li","doi":"10.1109/AITS.2015.16","DOIUrl":"https://doi.org/10.1109/AITS.2015.16","url":null,"abstract":"As a typical nonlinear and dynamic balancing system, the two wheeled self balancing vehicle has become more and more popular because of its small size, flexible rotation, energy-saving and emission reduction. The design and production of two wheeled self balancing vehicle based on the study of Kalman filter and angle fusion, use the STM32 control chip, ADXL335 accelerometer and IDG655 gyroscope as the attitude sensing system, the PID control algorithm to adjust the PWM output to adjust motor speed to change the motion state of the vehicle. By field test, the system works stably and achieves the design purpose of the manned operation.","PeriodicalId":196795,"journal":{"name":"2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122885485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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