![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Design of a Novel Six-Dimensional Force/Torque Sensor and Its Calibration Based on NN
This paper describes the design of a six-axis force/torque sensor, the purpose of which is to provide decoupled and accurate F/T information for the closed-loop control of the manipulator system. Firstly, the ...
-
Chapter and Conference Paper
A Decision Support System Based on GIS for Grain Logistics Vehicle Routing Problem
Grain logistics Vehicle Routing Problem (VRP) is the one of important problems in the research fields of grain logistics, which represents a problem of finding the optimal route used by a group of vehicles whe...
-
Chapter and Conference Paper
Direct Inverse Model Control Based on a New Improved CMAC Neural Network
In order to solve the difficulty in complicated system control, a new direct inverse model control strategy is proposed based on a new improved CMAC (Cerebellar Model Articulation Controller) neural network to...
-
Chapter and Conference Paper
An Improved Hidden Markov Model for Literature Metadata Extraction
In this paper, we proposed an improved Hidden Markov Model (HMM) to extract metadata in the academic literatures. We have built a dataset including 458 literatures from the VLDB conferences, which contains the...
-
Chapter and Conference Paper
Gaze Data Collection with the Off-the-Shelf Devices
Gaze is a very important modality in Human-computer Interaction (HCI). Sufficient gaze data is one of the vital foundations for automatic gaze tracking. In this paper, we propose a method to collect automatic ...
-
Chapter and Conference Paper
Summarizing and Extracting Online Public Opinion from Blog Search Results
As more and more people are willing to publish their attitudes and feelings in blogs, how to provide an efficient way to summarize and extract public opinion in blogosphere has become a major concern for both ...
-
Chapter and Conference Paper
Application of Natural Language in Fire Spread Display
How to express fire spread efficiently and effectively to firefighters was an important issue. The present study aimed to investigate how to present the fire alarm information, focusing on whether natural lang...
-
Chapter and Conference Paper
MRQSim: A Moving Range Query Simulation Platform in Spatial Networks
In this paper, we present our system MRQSim to efficiently conduct the continuous range query in the simulated road network environment when the query object moves. We propose two kinds of query types and cons...
-
Chapter and Conference Paper
AutoBayesian: Develo** Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically construct Bayesian networks ...
-
Chapter and Conference Paper
StreamFitter: A Real Time Linear Regression Analysis System for Continuous Data Streams
In this demo, we present the StreamFitter system for real-time linear regression analysis on continuous data streams. In order to perform regression on data streams, it is necessary to continuously update the ...
-
Chapter and Conference Paper
Failures of a Business Process in Enterprise Systems
A business process model typically describes a desired flow of events in an ideal environment. However, the reality tends to be more complicated than what is designed in the model. During the execution of busi...
-
Chapter
Mixed 2D-3D Information for Face Recognition
Face recognition with assistance of 3D models has been a successful approach recently. In this paper, we develop a face recognition system fusing 2D and 3D face information. First, the HarrLBP representation i...
-
Chapter and Conference Paper
An Improved EDP Algorithm to Privacy Protection in Data Mining
In this paper, we propose an improved pruning algorithm with memory, which we call improved EDP algorithm. This method provides the better trade-off between data quality and privacy protection against classifi...
-
Chapter and Conference Paper
Classify Uncertain Data with Decision Tree
This demo presents a decision tree based classificationsystem for uncertain data. Decision tree is a commonlyused data classification technique. Tree learning algorithms cangenerate decision tree models from a...
-
Chapter and Conference Paper
The User’s Emotional Elements Research of Mobile Network Products Development Guided by User Experience
In the whole products process of enterprise-class, the product definition decides the product’s “gene”. By way of in-depth research on user experience and behavior, our brand strategy, product planning and pro...
-
Chapter
3D Face Texture Stitching Based on Differential Coordinates
In this paper, we present a new method for 3D face texture stitching based on Differential Coordinates in which 3D texture patch from different face samples can be seamless stitched patch together. Usually, tr...
-
Chapter and Conference Paper
wNeighbors: A Method for Finding k Nearest Neighbors in Weighted Regions
As the fundamental application of Location Based Service (LBS), k nearest neighbors query has received dramatic attention. In this paper, for the first time, we study how to monitor the weighted k nearest neighbo...
-
Chapter and Conference Paper
Study on UAV Video Reconnaissance Based Adaptively Tracking Algorithm for the Ground Moving Target
In this paper, the problem of adaptive tracking for the Ground Moving Target (GMT) based on Unmanned Aerial Vehicle (UAV) reconnaissance video is addressed. More specifically, motion model and observation mode...
-
Chapter and Conference Paper
Towards Adaptive Classification of Motor Imagery EEG Using Biomimetic Pattern Recognition
This paper implements Biomimetic Pattern Recognition (BPR) into the adaptive classification of motor imagery EEG data by introducing three adaptive operators. The adaptive BPR works well when facing the proble...
-
Chapter and Conference Paper
Real-Time Markerless Hand Gesture Recognition with Depth Camera
This paper presents a novel method for markerless hand gesture recognition with a recently developed depth sensor. The proposed method encompasses a collection of techniques that enable the modeling and recogn...