scholarly journals The Design and Performance of the Real-Time Software Architecture for the ITER Radial Neutron Camera

2019 ◽  
Vol 66 (7) ◽  
pp. 1310-1317 ◽  
Author(s):  
N. Cruz ◽  
B. Santos ◽  
A. Fernandes ◽  
P. F. Carvalho ◽  
J. Sousa ◽  
...  
2015 ◽  
Vol 738-739 ◽  
pp. 1105-1110 ◽  
Author(s):  
Yuan Qing Qin ◽  
Ying Jie Cheng ◽  
Chun Jie Zhou

This paper mainly surveys the state-of-the-art on real-time communicaton in industrial wireless local networks(WLANs), and also identifys the suitable approaches to deal with the real-time requirements in future. Firstly, this paper summarizes the features of industrial WLANs and the challenges it encounters. Then according to the real-time problems of industrial WLAN, the fundamental mechanism of each recent representative resolution is analyzed in detail. Meanwhile, the characteristics and performance of these resolutions are adequately compared. Finally, this paper concludes the current of the research and discusses the future development of industrial WLANs.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Liaoyan Zhang

Streaming media server is the core system of audio and video application in the Internet; it has a wide range of applications in music recommendation. As song libraries and users of music websites and APPs continue to increase, user interaction data are generated at an increasingly fast rate, making the shortcomings of the original offline recommendation system and the advantages of the real-time streaming recommendation system more and more obvious. This paper describes in detail the working methods and contents of each stage of the real-time streaming music recommendation system, including requirement analysis, overall design, implementation of each module of the system, and system testing and analysis, from a practical scenario. Moreover, this paper analyzes the current research status and deficiencies in the field of music recommendation by analyzing the user interaction data of real music websites. From the actual requirements of the system, the functional and performance goals of the system are proposed to address these deficiencies, and then the functional structure, general architecture, and database model of the system are designed, and how to interact with the server side and the client side is investigated. For the implementation of data collection and statistics module, this paper adopts Flume and Kafka to collect user behavior data and uses Spark Streaming and Redis to count music popularity trends and support efficient query. The recommendation engine module in this paper is designed and optimized using Spark to implement incremental matrix decomposition on data streams, online collaborative topic model, and improved item-based collaborative filtering algorithm. In the system testing section, the functionality and performance of the system are tested, and the recommendation engine is tested with real datasets to show the discovered music themes and analyze the test results in detail.


2013 ◽  
Vol 694-697 ◽  
pp. 1953-1957
Author(s):  
Xiao Yu Xiu ◽  
Guo Hui Zhou

The system hardware and software architecture of smart camera does not follow a common standard subject to their versatile application field. This paper presents architecture of smart camera in order to making the smart camera unified and applied to typical fields. It provides a hardware and software case to inspect the steel ball quality in the real time. The result shows that the architecture can meet the requirements of smart camera in several application fields.


Author(s):  
Silvio Baccari ◽  
Giulio Cammeo ◽  
Christian Dufour ◽  
Luigi Iannelli ◽  
Vincenzo Mungiguerra ◽  
...  

The increasing complexity of modern ground vehicles is making crucial the role of control for improving energetic efficiency, comfort and performance. At the same time, the control software must be frequently updated in order to let the vehicle respond safely and efficiently within more sophisticated environments and to optimize the operations when new vehicle components are integrated. In this framework real-time hardware-in-the-loop simulations represent a fundamental tool for supporting the verification and validation processes of the control software and hardware. In this chapter a railway case study will be presented. The mathematical models of the most relevant electromechanical components of the vehicle powertrain are presented: the pantograph connected to an ideal overhead line with continuous voltage; the electrical components of a pre-charge circuit, the line filter and the braking chopper; the three-phase voltage source inverter and the induction motor; and, finally, the mechanical transmission system, including its interactions with the rail. Then the issues related to the real-time simulation of the locomotive components models are discussed, concentrating on challenges related to the stiff nature of the dynamic equations and on their numerical integration by combining field programmable gate array (FPGA) and central processing unit (CPU) boards. The usefulness of the real-time hardware-in-the-loop simulations for the analysis of railway control software will be demonstrated by considering the powertrains of two real metropolitan trains under complex scenarios, i.e., stator winding disconnection of the induction motor, pantograph missing contact, wheel-rail slipping phenomenon.


2018 ◽  
Vol 10 (1) ◽  
pp. 43-46
Author(s):  
Phakkharawat Sittiprapaporn ◽  
Shao-Chin Chang

Background: Mathematics form is universally understood in modern society. It is natural to ask whether there is neurophysiological evidence for putative cognitive components of the task and the practice in mental arithmetic will lead to a detectable transition in primary locus of brain activity. Aims and Objectives: The purpose of this study was to determine the effect of real-time arithmetic recognition task for cognitive performance and electroencephalographic activities. Materials and Methods: While practicing the real-time arithmetic recognition task named SpeedMath developed by NeuroSky, Inc., electroencephalographic activities were also recorded by using the commercial lightweight electroencephalographic device, Mindwave Mobile, NeuroSky, Inc. Eight participants included learning disabilities children participating in this study. All participants were instructed and trained to practice the simple the arithmetic recognition task which included arithmetic and mathematic skills. Results: The results showed that both alpha and beta frequency bands were increased with statistically significant at the 0.05 level. Conclusions: The real-time arithmetic recognition task might improve the real-time arithmetic recognition task and performance. Asian Journal of Medical Sciences Vol.10(1) 2019 43-46


2007 ◽  
Vol 51 (9) ◽  
pp. 2311-2325 ◽  
Author(s):  
Claudio Cicconetti ◽  
Luciano Lenzini ◽  
Enzo Mingozzi ◽  
Giovanni Stea

Author(s):  
Xuedong Chen ◽  
Zhichao Fan ◽  
Tao Chen ◽  
Shuangqing Xu ◽  
Guofu Ou ◽  
...  

Abstract This paper introduces briefly China’s development plan for intelligent manufacturing, and combining with the present situation of design, manufacture and maintenance of pressure equipment, puts forward the development directions for the digitization, networking and intelligentization of pressure equipment at present and in the next decade from three aspects. The first aspect is digital control of shape and performance of pressure equipment. Taking the furnace tube as an example, the Material Genome technology is recommended for establishing the relationship between the microstructure and macroscopic performance of its material and achieve the target macroscopic performance by the adjustment of composition, phase and microstructure; then the additive manufacturing (3D printing) technology can be used to control the resulting shape of certain special structures so as to achieve the integrated shape and performance and significant improvement of its service life. The second aspect is digitization and network-based interconnection of production factors such as materials, equipment and personnel in the pressure vessel production workshop to realize intelligent manufacturing. Taking the transportable pressure vessel for instance, the real-time identification, diagnosis and control of abnormal conditions can be realized by information and communication technology during the key production processes such as baiting, cutting, forming, welding, heat treatment, and non-destructive testing; and if necessary, the suitable manufacturing resources across different enterprises and regions can be organized to achieve the flexible production and collaborative manufacturing of the components such as heads and flanges, etc. The third aspect is to achieve the real-time online integrity assurance of pressure equipment in process industries (e.g., petrochemical and electric power, etc.) by digitization and networking of risk-based inspection (RBI), fitness-for-service (FFS) assessment technologies and their corresponding database, in combination with real-time monitoring technology based on the characteristic safety parameters. Taking the reactor effluent air cooler (REAC) system as an example, this technology would enable not only the safety warning of critical characteristic parameters, but also the self-limiting and self-prevention of the flow-induced corrosion failure by linking with the distributed control system (DCS).


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