Design & Run-Time Information Exchange for Health-Ready Components

2018 ◽  
Author(s):  
Author(s):  
Faheem Ahmed Abbasi ◽  
Mohammed Hedi Karray ◽  
Raymond Houe ◽  
Muhammad Ali Memon ◽  
Bernard Archimède

This paper focuses on the proposed generic framework of Cyber-Physical Social Systems (CPSS) for Multidimensional Urban Mobility (MUM). The introduction of air mobility will increase the complexity of urban mobility management due to the increase of data (real-time information exchange), services, and infrastructure. This paper first summarizes the shift of the smart mobility and associated concerns and emphasizes the smart technologies to be introduced for efficient deployment of the MUM. Afterwards, the state-of-the-art on CPSS present the details of the research work in the context of CPSS data management process and challenges related with data. In conclusion, a framework to address the various challenges associated with the data paradigm is proposed.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 590
Author(s):  
Young Jeon ◽  
Taehong Kim ◽  
Taejoon Kim

Time synchronization is an important issue in ad-hoc networks for reliable information exchange. The algorithms for time synchronization in ad-hoc networks are largely categorized into two types. One is based on a selection of a reference node, and the other is based on a consensus among neighbor nodes. These two types of methods are targeting static environments. However, synchronization errors among nodes increase sharply when nodes move or when incorrect synchronization information is exchanged due to the failure of some nodes. In this paper, we propose a synchronization technique for mobile ad-hoc networks, which considers both the mobility of nodes and the abnormal behaviors of malicious or failed nodes. Specifically, synchronization information extracted from a median of the time information of the neighbor nodes is quickly disseminated. This information effectively excludes the outliers, which adversely affect the synchronization of the networks. In addition, Kalman filtering is applied to reduce the synchronization error occurring in the transmission and reception of time information. The simulation results confirm that the proposed scheme has a fast synchronization convergence speed and low synchronization error compared to conventional algorithms.


Author(s):  
Melissa Ospina-Quiroga ◽  
Eduardo Mojica-Nava

The growing consumption of electricity as well as the progressive development of new technologies implies that the power system is increasingly automated with the purpose of having a more efficient and economical operation. This development drives the system to a Smart Grid, a large-scale cyber-physical network covering different energy generation technologies, storage and communications enabling real-time information exchange and control. In this work, we present an optimal distributed control based on the consensus+innovation technique, where each agent of the network obtains information from its neighbours. Simulations on a microgrid system based on an IEEE 14-Bus reference system demonstrate the effectiveness of the approach. Convergence is observed in the microgrid system under different scenarios in the physical and communications network.


Author(s):  
Deepa Bura ◽  
Amit Choudhary ◽  
Rakesh Kumar Singh

This article describes how predicting change-prone classes is essential for effective development of software. Evaluating changes from one release of software to the next can enhance software quality. This article proposes an efficient novel-based approach for predicting changes early in the object-oriented software. Earlier researchers have calculated change prone classes using static characteristics such as source line of code e.g. added, deleted and modified. This research work proposes to use dynamic metrics such as execution duration, run time information, regularity, class dependency and popularity for predicting change prone classes. Execution duration and run time information are evaluated directly from the software. Class dependency is obtained from UML2.0 class and sequence diagrams. Regularity and popularity is acquired from frequent item set mining algorithms and an ABC algorithm. For classifying the class as change-prone or non-change-prone class an Interactive Dichotomizer version 3 (ID3) algorithm is used. Further validation of the results is done using two open source software, OpenClinic and OpenHospital.


2015 ◽  
Vol 764-765 ◽  
pp. 1007-1011
Author(s):  
Edward Tsung Hsien Chu ◽  
Ming Ru Tsai

Instrumentation technology has been widely used in debugging interactive applications, such as interactive games and virtual reality. Debug codes are instrumented into a target program in order to collect run-time information. Although instrumentation provides detail information of the target program behavior, it can significantly prolong execution time, change program behavior and lead to incorrect debugging results, especially for time dependent and real-time applications. This paper aims to design a scalable parallel debugging mechanism to reduce instrumentation overhead while collecting detail run-time information. We design a new synchronization mechanism of instrumentation, named MDM, which uses multiple buffers to process debug messages. Also, a binding mechanism is used to specify the relationship between the target program, helper threads and cores. We conduct a case study of augmented reality interactive games on an Intel Core i7-2600 processor with Linux 2.6.38. Compared to existing methods, MDM can reduce instrumentation overhead by up to 19%.


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