scholarly journals A Regression based Sensor Data Prediction Technique to Analyze Data Trustworthiness in Cyber-Physical System

2018 ◽  
Vol 10 (3) ◽  
pp. 15-22
Author(s):  
Abdus Satter ◽  
◽  
Nabil Ibtehaz
Keyword(s):  
Physical System ◽  
Sensor Data ◽  
Cyber Physical System ◽  
Data Prediction ◽  
Prediction Technique ◽  
Data Trustworthiness ◽  
Analyze Data

An Integrated Cyber-Physical System for Cloud Manufacturing

2014 ◽  
Author(s):  
Lihui Wang ◽  
Robert Gao ◽  
Ihab Ragai
Keyword(s):  
Physical System ◽  
3D Models ◽  
Cloud Manufacturing ◽  
Sensor Data ◽  
Robotic Assembly ◽  
Cyber Physical System ◽  
Network Bandwidth ◽  
Assembly Cell ◽  
Monitoring Process

This paper presents an integrated cyber-physical system for remote accessibility and controllability of factory equipment, e.g. CNC machines and robots. It is enabled by combining 3D models, sensor data and camera images in real-time. The aim of this research is to significantly reduce network traffic for much improved accessibility and controllability of any cyber-physical systems over the Internet. The ultimate goal is to build cloud-based services of monitoring, process planning, machining and assembly in decentralised environment. This paper covers the basis of the approach, system architecture and implementation, and a case study of remote control of a robotic assembly cell. Compared with camera-based systems, our approach consumes less than 1% of its network bandwidth, feasible and practical as a future cloud-based solution.

scholarly journals Towards Sensor Reliability Using Internet-of-Things LiDAR Data in a Cyber-Physical System

2019 ◽  
Author(s):  
Fernando Castaño ◽  
Alberto Villalonga ◽  
Rodolfo E. Haber ◽  
Joanna Kossakowska ◽  
Stanisław Strzelczak
Keyword(s):  
Internet Of Things ◽  
Traffic Safety ◽  
Physical System ◽  
Road Traffic ◽  
Local Level ◽  
Sensor Data ◽  
Sensor Technology ◽  
Evaluation Procedure ◽  
Cyber Physical System ◽  
Road Traffic Safety

Currently, the most important challenge in any assessment of state-of-the-art sensor technology and its reliability is to achieve road traffic safety targets. The research reported in this paper is focused on the design of a procedure for evaluating the reliability of Internet-of-Things (IoT) sensors and the use of a Cyber-Physical System (CPS) for the implementation of that evaluation procedure to gauge reliability. An important requirement for the generation of real critical situations under safety conditions is the capability of managing a co-simulation environment, in which both real and virtual data sensory information can be processed. An IoT case study that consists of a LiDAR-based collaborative map is then proposed, in which both real and virtual computing nodes with their corresponding sensors exchange information. Specifically, the sensor chosen for this study is a Ibeo Lux 4-layer LiDAR sensor with IoT added capabilities. Implementation is through an artificial-intelligence-based modeling library for sensor data-prediction error, at a local level, and a self-learning-based decision-making model supported on a Q-learning method, at a global level. Its aim is to determine the best model behavior and to trigger the updating procedure, if required. Finally, an experimental evaluation of this framework is also performed using simulated and real data

scholarly journals Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach

2012 ◽  
Vol 8 (4) ◽  
pp. 724846 ◽  
Author(s):  
Lu-An Tang ◽  
Xiao Yu ◽  
Sangkyum Kim ◽  
Jiawei Han ◽  
Wen-Chih Peng ◽  
...  
Keyword(s):  
Physical System ◽  
Clustering Algorithm ◽  
Sensor Data ◽  
Accurate Information ◽  
Cyber Physical System ◽  
Event Analysis ◽  
Distributed Sensor Networks ◽  
Efficient Manner ◽  
Distributed Sensor ◽  
Multidimensional Information

Cyber-Physical System (CPS) is an integration of distributed sensor networks with computational devices. CPS claims many promising applications, such as traffic observation, battlefield surveillance, and sensor-network-based monitoring. One important topic in CPS research is about the atypical event analysis, that is, retrieving the events from massive sensor data and analyzing them with spatial, temporal, and other multidimensional information. Many traditional methods are not feasible for such analysis since they cannot describe the complex atypical events. In this paper, we propose a novel model of atypical cluster to effectively represent such events and efficiently retrieve them from massive data. The basic cluster is designed to summarize an individual event, and the macrocluster is used to integrate the information from multiple events. To facilitate scalable, flexible, and online analysis, the atypical cube is constructed, and a guided clustering algorithm is proposed to retrieve significant clusters in an efficient manner. We conduct experiments on real sensor datasets with the size of more than 50 GB; the results show that the proposed method can provide more accurate information with only 15% to 20% time cost of the baselines.

Implementation of a Cyber-Physical System Using Wireless Sensor Networks for Monitoring Patients

2015 ◽  
Vol 1 ◽  
pp. 26 ◽  
Author(s):  
Vo Que Son ◽  
Do Tan A
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Physical System ◽  
Patient Monitoring ◽  
High Reliability ◽  
Vital Signs ◽  
Wireless Sensor ◽  
Cyber Physical System ◽  
Self Administration ◽  
Hospital Units

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.

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