scholarly journals The Algorithm of Cyber-physical System Targeting on a Movable Object Using the Smart Sensor Unit

2017 ◽  
Vol 5 (1) ◽  
pp. 16-22 ◽  
Author(s):  
Dmytro Kushnir ◽  
◽  
Yaroslav Paramud
Keyword(s):  
Object Recognition ◽  
Experimental Research ◽  
Physical System ◽  
Cyber Physical System ◽  
Smart Sensor ◽  
Movable Object ◽  
Main Components ◽  
Information Frame ◽  
Observation Results

It is known that smart sensor units are one of the main components of the cyber-physical system. One of the tasks, which have been entrusted to such units, are targeting and tracking of movable objects. The algorithm of targeting on such objects using observation equipment has been considered. This algorithm is able to continuously monitor observation results, predict the direction with the highest probability of movement and form a set of commands to maximize the approximation of a moving object to the center of an information frame. The algorithm has been verified on an experimental physical model using a drone. The object recognition module has been developed using YOLOv3 architecture. iOS application has been developed in order to communicate with the drone through WIFI hotspot using UDP commands. Advanced filters have been added to increase the quality of recognition results. The results of experimental research on the mobile platform confirmed the functioning of the targeting algorithm in real-time.

THE INTELIGENE ALGORITHM OF CYBER–PHYSICAL SYSTEM TARGETING ON A MOVABLE OBJECT USING THE SMART SENSOR UNIT

2017 ◽  
Vol 2 (1) ◽  
pp. 44-52
Author(s):  
Kushnir D. ◽  
◽  
Paramud Y.
Keyword(s):  
Reinforcement Learning ◽  
Physical System ◽  
Learning Algorithm ◽  
Cyber Physical System ◽  
Smart Sensor ◽  
Sensor Unit ◽  
Movable Object ◽  
Analytical Review ◽  
Main Components

As a result of the analytical review, it was established that smart sensor units are one of the main components of the cyber–physical system. One of the tasks, which have been entrusted to such units, are targeting and tracking of movable objects. The algorithm of targeting on such objects using observation equipment has been considered. This algorithm is able to continuously monitor observation results, predict the direction with the highest probability of movement and form a set of commands to maximize the approximation of a moving object to the center of an information frame. The algorithm, is based on DDPG reinforcement learning algorithm. The algorithm has been verified on an experimental physical model using a drone. The object recognition module has been developed using YOLOv3 architecture. iOS application has been developed in order to communicate with the drone through WIFI hotspot using UDP commands. Advanced filters have been added to increase the quality of recognition results. The results of experimental research on the mobile platform confirmed the functioning of the targeting algorithm in real–time. Key words: Cyber–physical system, smart sensor unit, reinforcement learning, targeting algorithm, drones.

scholarly journals Remote health care cyber-physical system: quality of service (QoS) challenges and opportunities

2016 ◽  
Vol 1 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Tejal Shah ◽  
Ali Yavari ◽  
Karan Mitra ◽  
Saguna Saguna ◽  
Prem Prakash Jayaraman ◽  
...  
Keyword(s):  
Health Care ◽  
Quality Of Service ◽  
Physical System ◽  
Cyber Physical System ◽  
System Quality ◽  
Challenges And Opportunities ◽  
Remote Health

Smart healthcare and quality of service in IoT using grey filter convolutional based cyber physical system

2020 ◽  
Vol 59 ◽  
pp. 102141 ◽  
Author(s):  
Rizwan Patan ◽  
G S Pradeep Ghantasala ◽  
Ramesh Sekaran ◽  
Deepak Gupta ◽  
Manikandan Ramachandran
Keyword(s):  
Quality Of Service ◽  
Physical System ◽  
Cyber Physical System ◽  
Smart Healthcare

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.

Methodical approach to the assessment of the educational migration environment of the population of the Carpathian region

2019 ◽  
pp. 37-48
Author(s):  
Lyubov Semiv
Keyword(s):  
Institutional Conditions ◽  
Carpathian Region ◽  
Research Activities ◽  
Methodical Approach ◽  
Synthetic Indicator ◽  
Industry Collaboration ◽  
Migration Potential ◽  
Educational Migration ◽  
Main Components

The role and importance of the educational migration environment in activating migration movements of the population is described. The main components of the educational migration environment of the population are identified, and their features are outlined. Indicators have been proposed and the conditions for the formation of the educational migration environment of the population have been determined. It is proved that «freedom of knowledge movement» motivates students, teachers and researchers to combine educational and research activities with future employment abroad. The processes of educational migration in the form of cross-border education and academic mobility are presented. The concept of educational migration environment is defined and five main components of its formation are described: quantitative measurement of educational migration potential; quality of the academic environment; motivational conditions; opportunities for universities and industry collaboration in research; institutional conditions in the educational sphere. The list of indicators offered by the Ukrainian statistics is provided for quantitative representation of each component of the educational migration. Based on the method of multidimensional (cluster) analysis, the regional index of formation of educational migration environment is calculated. Using this method allows to move from the assessment of educational migration environment on 28 indicators to the construction of one synthetic indicator. Application of methodical approach allows to see the place of the region by the important parameters of development of the environment of educational migration of the population, to evaluate the attractiveness, opportunities and threats of formation of this environment in the regional dimension. It is proved that the «most favorable» environment in the Carpathian region has the Lviv region (4th place in Ukraine). Other regions of the Ukrainian Carpathians occupy in the ranking the lower places: respectively Ivano-Frankivsk (15th place), Chernivtsi (21st place), Transcarpathian region (24th place).

New Monitoring Strategy for the Quality Control in the Processing Practice of Scutellariae Radix

2020 ◽  
Vol 16 (3) ◽  
pp. 303-311
Author(s):  
Qi Huang ◽  
Chunsong Cheng ◽  
Lili Li ◽  
Daiyin Peng ◽  
Cun Zhang
Keyword(s):  
Quality Control ◽  
Monitoring Strategy ◽  
Scutellariae Radix ◽  
Chromatographic Fingerprints ◽  
New Strategy ◽  
Processed Products ◽  
Main Components ◽  
Processing Techniques ◽  
Multivariate Monitoring

Background: Scutellariae Radix (Huangqin) is commonly processed into 3 products for different clinical applications. However, a simple analytical method for quality control has rarely been reported to quickly estimate the degree of processing Huangqin or distinguish differently processed products or unqualified Huangqin products. Objective: To study a new strategy for quality control in the processing practice of Huangqin. Methods: Seven kinds of flavonoids that mainly exist in Huangqin were determined by HPLC-DAD. Chromatographic fingerprints were established to study the variation and discipline of the 3 processed products of Huangqin. PCA and OPLS-DA were used to classify differently processed products of Huangqin. Results: The results showed that baicalin and wogonoside were the main components in the crude and the alcohol Huangqin herb while baicalein and wogonin mainly existed in carbonized Huangqin. The results of mathematical statistics revealed that the processing techniques can make the quality of medicinal materials more uniform. Conclusion: This multivariate monitoring strategy is suitable for quality control in the processing of Huangqin.

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