![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Intelligent Inspection Unmanned Aerial System Based on Neural Network Modelling
Intelligent inspection UAV system can complete inspection tasks safely and efficiently without human intervention. Using neural network model and high-precision camera equipment for image acquisition and proce...
-
Chapter and Conference Paper
A Combat Capability Evaluation Method of UAV Swarm Based on Kill Chain
The combat capability of UAV swarm is realized mainly by rapidly forming multiple kill chains and efficiently attacking the combat target with the efficient collaboration, rapid replacement and replenishment o...
-
Chapter and Conference Paper
Energy-Aware Flow Table Strategy for Software Defined Wireless Power Communication Network Using Floyd Algorithm
With the continuous expansion of the services and the coverage of power telecommunication network, the reliability and flexibility of the network have been put forward higher requirements. In the power system,...
-
Chapter and Conference Paper
An Image Encryption Method Based on Logistic Map** and Phasmatodea Population Evolution Algorithm
security of information is closely related to our daily life and occupies an important position. The data encryption algorithm is an indispensable element in modern life. Image encryption technology i...
-
Chapter
Computer-Aided Detection of Depressive Severity Using Multimodal Behavioral Data
This chapter presents depressive severity detection using deep learning methods for automatic audio, visual and audiovisual emotion sensing. The article starts from basic methods on experimental design and dat...
-
Chapter
Artificial Intelligence in Remote Photoplethysmography: Remote Heart Rate Estimation from Video Images
This chapter aims to introduce remote heart rate estimation from video images, which is considered to be a cost-effective and comfortable method with great potential to become a supplementary medical modality ...
-
Chapter and Conference Paper
Generating Actuation Sensor Based on the First Positive and the Secondary Converse Piezoelectric Effect
On the basis of classical piezoelectric theory, dielectric theory and anisotropic elasticity theory, a new design method designing generating actuation sensor based on the first positive and the secondary conv...
-
Chapter and Conference Paper
Wearable Sensors Based Remote Patient Monitoring Using IoT Data Analytics
In this paper, wearable sensors based remote patient monitoring system using IoT analytic platform is proposed. This system is targeted for cardiovascular diseases as it can be used to monitor and check the cu...
-
Chapter and Conference Paper
Flipped Classroom Teaching of College English Based on “Rain Classroom”
With the arrival of the “Internet +” era, information technology and classroom teaching continue to merge deeply, and the application of flipped teaching based on rain classroom in college English is a success...
-
Chapter and Conference Paper
Optimal Scheduling and Benefit Analysis of Solid Heat Storage Devices in Cold Regions
On the basis of analyzing the characteristics of wind power in winter heating period and considering the critical state of wind power integration, this paper rationalized the energy load, decoupled the energy ...
-
Chapter and Conference Paper
A Reliable Data Transmission Protocol Based on Network Coding for WSNs
Nowadays, wireless Sensor Networks (WSN) technology has been applied in more and more fields, such as medical, military, environmental protection, and so on. WSNs increase the efficiency of people’s access to ...
-
Chapter and Conference Paper
Quantifying Vertebral Endplate Degeneration Using the Concavity Index
A novel morphometric measurement of endplate degradation was compared with qualitative ratings of intervertebral disc degeneration (Pfirrmann Grading) in a double-blinded study to investigate a new, quantitati...
-
Chapter and Conference Paper
Face Recognition Based on Improved FaceNet Model
The convolutional neural networks (CNN) is one of the most successful deep learning model in the field of face recognition, the different image regions are always treated equally when extracting image features...
-
Chapter and Conference Paper
Research and Implementation of Fuzzy Control Method of UAV Formation with Ad Hoc Network
In order to solve the communication problems between clusters as well as achieve the goal of the high-precision flying of UAV clusters, a UAV formation realization using ad hoc network and fuzzy control techno...
-
Chapter and Conference Paper
A Survey on SCADA Security and Honeypot in Industrial Control System
Nowadays, the infrastructure employs SCADA (supervisory control and data acquisition) system for monitoring, such as power plants, reservoir, manufacturing, and logistics industry. With the rapid development o...
-
Chapter and Conference Paper
A Fast Mode Decision Algorithm for HEVC Intra Prediction
Compared to H.264/AVC, High Efficiency Video Coding (HEVC) can achieve bits rate savings of up to 50% while maintaining the same subjective quality. However, this great advance is obtained at the expense of si...
-
Chapter and Conference Paper
Calculating the Truck’s Box Volume with a Single Image Under the Circle Projection and Vanishing Points Constraint
To concise the truck’s box volume measuring system, some techniques such as calculation of camera intrinsic parameters, estimation of truck’s position and orientation, and calculation the vertex coordinates on...
-
Chapter and Conference Paper
Multi-local Feature Target Detection Method Based on Deep Neural Network
In application of video surveillance system, the algorithm object detection is affected by occlusion easily, and the results on small object are not satisfying. This paper develops a multi-local feature obje...
-
Chapter and Conference Paper
Virtual Reality Projection Alignment for Automatic Measuring Truck’s Box Volume in Single Image
A virtual reality projection alignment-based volume measurement using single image is presented to reduce the cost of truck’s box volume measuring system. This paper uses the ASM algorithm to establish a virtu...
-
Chapter and Conference Paper
An Automatic Detection Method for Morse Signal Based on Machine Learning
In this paper, an automatic detection for time-frequency map of Morse signal is proposed base on machine learning. Firstly, a preprocessing method based on energy accumulation is proposed, and the signal regio...