Quality, Reliability, Security and Robustness in Heterogeneous Systems
13th International Conference, QShine 2017, Dalian, China, December 16 -17, 2017, Proceedings
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Chapter and Conference Paper
Deep Reinforcement Learning-Based LSTM Model for Traffic Flow Forecasting in Internet of Vehicles
Nowadays many large cities often suffer from road congestion. Then, it is necessary to improve the working efficiency of urban road network with the help of computational intelligence technologies, within the ...
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Chapter
Indoor Localization and Human Activity Tracking with Multiple Kinect Sensors
In , a system that provides continuous localization and behavioral analysis of a person’s motion pattern over an indoor living space using multiple Kinect sensors. The skeleton data from all sensors is tran...
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Article
A robust multilayer extreme learning machine using kernel risk-sensitive loss criterion
More recently, extreme learning machine (ELM) has emerged as a novel computing paradigm that enables the neural network (NN) based learning to be achieved with fast training speed and good generalization perfo...
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Chapter and Conference Paper
Semi-automated Development of a Dataset for Baseball Pitch Type Recognition
In this paper, we report our work on develo** a new dataset for baseball pitch type recognition based on youtube videos of the US Major League Baseball games. The core innovation is a largely automated proce...
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Chapter and Conference Paper
A Malware Identification and Detection Method Using Mixture Correntropy-Based Deep Neural Network
With the rapid development of CPS technology, the identification and detection of malware has become a matter of concern in the industrial application of CPS. Currently, advanced machine learning methods such...
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Chapter and Conference Paper
Baseball Pitch Type Recognition Based on Broadcast Videos
In this paper, we report our work on baseball pitch type recognition based on broadcast videos using two-stream inflated 3D convolutional neural network (I3D). To improve the state-of-the-art of research, we d...
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Article
Correction to: Dependability enhancing mechanisms for integrated clinical environments
The Acknowledgements published in the original article contain errors. The correct version is given below.
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Book and Conference Proceedings
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Chapter and Conference Paper
Human Action Recognition with Skeleton Data Using Extreme Learning Machine
Skeleton-based human action recognition has recently drawn many researchers’ attention with the prevalence of Microsoft Kinect sensors. In this paper, a method of action recognition using the skeletal features...
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Article
Open AccessDependability enhancing mechanisms for integrated clinical environments
In this article, we present a set of lightweight mechanisms to enhance the dependability of a safety-critical real-time distributed system referred to as an integrated clinical environment (ICE). In an ICE, me...
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Article
High-throughput state-machine replication using software transactional memory
State-machine replication is a common way of constructing general purpose fault tolerance systems. To ensure replica consistency, requests must be executed sequentially according to some total order at all non...
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Article
A concise tutorial on human motion tracking and recognition with Microsoft Kinect
This paper provides a concise tutorial on the Microsoft Kinect technology and the state of art research on human motion tracking and recognition with Microsoft Kinect. A pre-requisite for human motion recognit...
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Article
A laguerre neural network-based ADP learning scheme with its application to tracking control in the Internet of Things
Sensory data have becoming widely available in large volume and variety due to the increasing presence and adoption of the Internet of Things. Such data can be tremendously useful if they are processed properl...
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Chapter and Conference Paper
Multi-goal Motion Planning of an Autonomous Robot in Unknown Environments by an Ant Colony Optimization Approach
An ant colony optimization (ACO) approach is proposed in this paper for real-time concurrent map building and navigation for multiple goals purpose. In real world applications such as rescue robots, and service r...
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Article
Open AccessA Dynamic Verification Model based on Information Flow Constraint
After analyzing the common attacks for some software systems, a dynamic software behavior verification model related with the unchecked input data based on software analysis and dynamic slicing technology is p...
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Chapter and Conference Paper
Interaction Patterns for Byzantine Fault Tolerance Computing
In this paper, we present a catalog of application interaction patterns with the corresponding message ordering and execution rules for Byzantine fault tolerance computing. For each pattern, a set of rules are...
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Chapter and Conference Paper
Byzantine Fault Tolerance as a Service
In this paper, we argue for the need and benefits for providing Byzantine fault tolerance as a service to mission critical Web applications. In this new approach to Byzantine fault tolerance, an application se...
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Chapter and Conference Paper
Behavior Analysis-Based Dynamic Trust Measurement Model
The trust of an entity is based on its behavior’s trust in trusted computing technology, and software’s trust can be measured dynamically by its behavior when it is executing. However, conducting dynamic measu...
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Chapter and Conference Paper
Byzantine Fault Tolerant Coordination for Web Services Atomic Transactions
In this paper, we present the mechanisms needed for Byzantine fault tolerant coordination of Web services atomic transactions. The mechanisms have been incorporated into an open-source framework implementing t...
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Chapter and Conference Paper
Normalizing XML Element Trees as Well-Designed Document Structures for Data Integration
Normalizing the design of XML Schemas is important in the data integration with predefined integrated content. As the essential of XML schemas, XML element tree are introduced to represent all the possible dat...
