49 Result(s)
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Chapter and Conference Paper
Efficient Time Series Data Classification and Compression in Distributed Monitoring
As a key issue in distributed monitoring, time series data are a series of values collected in terms of sequential time stamps. Requesting them is one of the most frequent requests in a distributed monitoring ...
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Chapter and Conference Paper
Design of Pneumatic Cable Maintenance Robot
Aimed to coating, cleaning and inspection of cable for cable-stayed bridges, a pneumatic worming cable maintenance robot is presented. This paper puts forward a design method of modularizing which can simplify...
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Chapter and Conference Paper
Consistency Measure of Multiple Classifiers for Land Cover Classification by Remote Sensing Image
Nowadays, multiple classifier system is widely used for land cover classification by remote sensing imagery. The performance of combined classifier is closely related to the selection of member classifiers, so...
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Chapter and Conference Paper
EIF: A Framework of Effective Entity Identification
Entity identification, that is to build corresponding relationships between objects and entities in dirty data, plays an important role in data cleaning. The confusion between entities and their names often re...
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Chapter and Conference Paper
Evaluation and Recommendation Methods Based on Graph Model
Evaluation and recommendation are different actions, but they are consistent in mining and using information efficiently and effectively to improve their persuasiveness and accuracy. From the view of informati...
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Chapter and Conference Paper
Research on Constitution and Application of Digital Learning Resources of Wu Culture
As splendid traditional culture, Wu Culture plays a very important role in accelerating the constructing of school culture and human resources training. With the increasing demands for Wu culture resources of ...
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Chapter and Conference Paper
The Structure Design and Kinematics Simulation for Rotating Arc Sensor of TIG Welding Based on Pro/E 3D Design
Considering the features and requirements of rotating arc seam tracking, a new type of sensor is presented in this paper. Through the application of Pro/E 3D modeling and mechanism kinematics simulation module...
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Chapter and Conference Paper
Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound
We present the first automatic solution for localizing fetal abdominal standard plane (FASP) in consecutive 2D ultrasound images. FASP is located in the presence of three key anatomies detected by learning bas...
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Chapter and Conference Paper
A Multi-parameter Integrated Water Quality Sensors System
Because of the rapid development of aquaculture in China at present, it is more and more urgent to apply hi-tech devices in aquaculture field to guarantee its efficiency. There are already many devices used fo...
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Chapter and Conference Paper
Research on Quality Improvement of Polarization Imaging in Foggy Conditions
A new method was presented to improve quality of polarization imaging in foggy weather. In this method, two state-of-art algorithms were used to defog three polarization direction images by polarization imagin...
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Chapter and Conference Paper
A Prediction Model Based on Time Series Data in Intelligent Transportation System
Intelligent Transportation System has a new kind of complicated time series data which would be the traffic flow, average speed or some other traffic condition information at the same time period. All above da...
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Chapter and Conference Paper
Image Quality Assessment Based on SIFT and SSIM
Image quality assessment (IQA) aims to provide computational models to measure the image quality consistently with subjective assessments. The SSIM index brings IQA from pixel-based to structure-based stage. I...
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Chapter and Conference Paper
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer
Acquisition of the fetal abdominal standard plane (FASP) is crucial for prenatal ultrasound diagnosis. However, it requires a thorough knowledge of human anatomy and substantial experience. In this paper, we p...
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Chapter and Conference Paper
A New Method of Object Saliency Detection in Foggy Images
Aiming to saliency detection problem of degraded foggy images, a new method of object saliency detection method in foggy images based on region covariance matrix is presented. In the method, color, direction a...
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Chapter and Conference Paper
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks
Accurate acquisition of fetal ultrasound (US) standard planes is one of the most crucial steps in obstetric diagnosis. The conventional way of standard plane acquisition requires a thorough knowledge of fetal ...
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Chapter and Conference Paper
Feature Extraction for Effective Content-Based Cloth Image Retrieval in E-Commerce
Cloth image retrieval in E-Commerce is a challenging task. In this paper, we propose an effective approach to solve this problem. Our work chooses three features for retrieval: (1) description (2) category (3...
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Chapter and Conference Paper
Scattered Workpiece Identification Using Binocular Vision System
In this paper the authors presents a vision system that has developed to aid bin picking tasks. The intention of the proposed system is to detect and identify randomly piled workpieces in the bin. The strateg...
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Chapter and Conference Paper
Towards Automatic Semantic Segmentation in Volumetric Ultrasound
3D ultrasound is rapidly emerging as a viable imaging modality for routine prenatal examinations. However, lacking of efficient tools to decompose the volumetric data greatly limits its widespread. In this pap...
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Chapter and Conference Paper
Hyperspectral Image Classification Based on Empirical Mode Decomposition and Local Binary Pattern
Traditional hyperspectral image classification methods always focused on spectral information, and lots of spatial information was neglected. Therefore, this paper introduces the spatial texture information in...
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Chapter and Conference Paper
A Fast Granular Method for Classifying Incomplete Inconsistent Data
Today extracting knowledge from “inferior quality” data that is characterized by incompleteness and inconsistency is an unavoidable and challenging topic in the field of data mining. In this paper, we propose ...
