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Chapter and Conference Paper
Gaussian Mass Function Based Multiple Model Fusion for Apple Classification
Near-infrared spectra can be used to predict the internal quality of apple non-destructively, such as Soluble Solids Content (SSC), acidity and so on. However, it needs to establish a prediction model. And for...
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Chapter and Conference Paper
Teaching Exploration on Calculation Method Under the Background of Emerging Engineering Education
The Calculation Method is a complicated theoretical and strong practical subject, which is used to study and solve the problem of numerical approximate-calculation and is used to solve mathematical problems on...
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Chapter and Conference Paper
IoT Time-Series Missing Value Imputation - Comparison of Machine Learning Methods
Data about time series has been researched for ages in various fields. In past few years, with the advancements of the Internet of Things (IoT) and the use of data acquisition devices, more and more time serie...
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Article
Open AccessA FIR filter assisted with the predictive model and ELM integrated for UWB-based quadrotor aircraft localization
To improve the accuracy of the Ultra-Wide Band (UWB) based quadrotor aircraft localization, a Finite Impulse Response (FIR) filter aided with an integration of the predictive model and Extreme Learning Machine...
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Article
Dynamic Emergency Transit Forecasting with IoT Sequential Data
Medical emergency transit counts minutes as real human lives. It is important to plan emergency transport routes according to real-time traffic flow status which leads to the the essential requirement of corre...
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Article
Apple Internal Quality Fusion Prediction by Multi-pattern Recognition Technology and Evidence Theory
Apple internal quality prediction plays an important role in automatic apple grading. In this paper, apples are graded according to soluble solid content (SSC), which is one of the most significant indicators ...
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Chapter and Conference Paper
Collaborative Optimization Study of Order, Location and Route in Warehouse System
The factors that affect the operation efficiency of the intelligent warehousing system are diversified, and it is easy to fall into the local optimal solution if only a unilateral research on a certain problem...
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Chapter and Conference Paper
Apple Grading Model Based on Improved ResNet-50 Network
In this paper, we study an apple grading model based on the convolutional neural network to classify Red Fuji apples according to features of size, color and external defects. Firstly, Red Fuji apple images ar...
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Chapter and Conference Paper
Collaborative Path Optimization Method for Flood Control Material Storage
In order to reach its efficient storage and wide application, this paper analyzes and improves the outgoing efficiency of flood control material warehouse. Firstly, according to the characteristics of flood co...
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Chapter and Conference Paper
Distributed Quaternion Kalman Filter for Human Tracking Using IMU and UWB Measurement
For improving the accuracy of the indoor navigation system, a Kalman filter (KF) will be proposed to filter the quaternion and to obtain the acceleration. Then, the human body is tracked based on the distribut...
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Chapter and Conference Paper
Corner Point Recognition and Point Cloud Correction Based on Graham-Scan Algorithm
For the problem of finding the corner points and point cloud distortion in the point cloud map, this paper proposes a method of corner point recognition and point cloud correction based on the Graham-scan algo...
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Chapter and Conference Paper
Internal Quality Classification of Apples Based on Near Infrared Spectroscopy and Evidence Theory
Apple classification is of great significance to enhance market competitiveness of Chinese apple industry in the world. In this paper, the collected apple near infrared spectroscopy is taken as the data sample...
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Chapter and Conference Paper
Heat-Map Algorithm Based Multi-robots Path Planning Method
Robot conflicts elimination and efficiency improvement from a global perspective are important issues in intelligent storage systems. In order to improve the operation efficiency of intelligent storage system ...
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Article
Improving Tightly LiDAR/Compass/Encoder-Integrated Mobile Robot Localization with Uncertain Sampling Period Utilizing EFIR Filter
In order to overcome the uncertainty of the data sampling period of the sensor due to equipment reasons, a mobile robot localization system is developed under the uncertain sampling period for the tightly-fuse...
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Chapter and Conference Paper
Application of DS Evidence Theory in Apple’s Internal Quality Classification
Aiming at the classification of Red Fuji apples based on the content of soluble solids, a multi-classifier model fusion method based on Dempster and Shagfer (DS) evidence theory is proposed. Multi-model fusio...
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Chapter and Conference Paper
Apple Defect Detection Method Based on Convolutional Neural Network
The appearance quality of apple is one of the important indicators for consumers to purchase. At present, the classification process of apple is still completed artificially, which not only wastes human resour...
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Chapter and Conference Paper
LS-SVM/Federated EKF Based on the Distributed INS/UWB Integrated 2D Localization
In this paper, a novel distributed integrated 2D localization scheme for fusing the fusing the ultra wide band (UWB)- and inertial navigation system (INS)-derived ranges using least squares-support vector mach...
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Chapter and Conference Paper
Apple Classification Based on Information Fusion of Internal and External Qualities
Apple classification plays an important role in improving the sales of apples. Based on both the internal and external qualities of an apple, in this paper, we propose to classify apples by DS theory-based inf...
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Chapter and Conference Paper
LiDAR Map Construction Using Improved R-T-S Smoothing Assisted Extended Kalman Filter
On account of the low accuracy of boundary point cloud information during map construction of LiDAR used in mobile robots, an data processing scheme based on extended Kalman filter (EKF) and improved R-T-S smo...
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Chapter and Conference Paper
Apple Soluble Solids Content Prediction Based on Genetic Algorithm and Extreme Learning Machine
Soluble solids contents (SSC) is the general term of monosaccharide, disaccharide and polysaccharide, and is one of the key evaluation indexes of apple taste and nutritional quality. According to the predicti...
