scholarly journals Distributed System Reliability in Intelligence Information System

2014 ◽  
Vol 3 (33) ◽  
Author(s):  
Jugoslav Achkoski ◽  
Vladimir Trajkovik Vladimir Trajkovik
2014 ◽  
Vol 590 ◽  
pp. 763-767
Author(s):  
Zhi Hui Huang

This paper aiming at the zero-failure data and uncertain-decision problems exist in the information system reliability growth process, it proposes to build the Bayesian network topology of FMEA. It adopts Leaky Noisy-OR model, and it analyses the probability that the subsystem functional module will go wrong in quantity. It solves the problem of identifying the vague and incomplete information exists in the complex system rapidly and accurately, laying the foundation for further study of the reliability growth comprehensive ability assessment of system based on the Bayesian network. In this paper, on the background of Manufacturing Execution Systems (MES) engineering, aimed at research on models and evaluation methods of reliability growth for MES, enclosing reliability of MES task and design target, reliability growth test and analysis methods, it proposes the goal of MES reliability growth planning.


2020 ◽  
Vol 3 (2) ◽  
pp. 119-123
Author(s):  
Nur Aeni Hidayah ◽  
Elvi Fetrina ◽  
Alvali Zaqi Taufan

As concrete steps in order to realize the vision and mission of an organization or educational institution is to implement the system of academic information. The one factor that influences the success of the academic information system is the satisfaction of users.  The problems in the user satisfaction are also issues that cannot be denied and continue to be studied. In consequently, having measurements related to user satisfaction is required. This research is done to see how the user satisfaction of the existing system has been implemented and to know what factorshas influenced the system. The method used in this study is a quantitative method using the End User Computing Satisfaction (EUCS) model whereas 255 respondents are chosen as the sample for the study. The purposive sampling technique is usedand the PLS-SEM approach with tools Smart PLS 3.0 is used for analyzing the data.  This research consists of 7 hypotheses and 8 variables, namely Content, Accuracy, Format, Timeliness, Ease of Use, System Reliability, System Speed and End-User Satisfaction. The research finds out that the current level of end-user satisfaction is in satisfied level. Inferentially, of the 7 hypotheses tested, 2 of them were rejected and the other 5; Accuracy, System Reliability, Timeliness, Content and System Spee;are accepted.Through this research, it is hoped that later it could be used as a practical consideration and theoretical study in thefuture.


2009 ◽  
Vol 5 (3/4) ◽  
pp. 207 ◽  
Author(s):  
Nikolaos G. Bardis ◽  
Athanasios Drigas ◽  
Nikolaos Doukas ◽  
Nikolaos V. Karadimas

1993 ◽  
Vol 30 (2) ◽  
pp. 471-477 ◽  
Author(s):  
Mikhail Revyakov

An optimal allocation of subsystems depending on the system structure and reliability ordering of inherent subsystem components is determined, in the presence of various external influences on the reliability of components in different locations. It is carried out with the help of L-superadditive functions and Schur-convex functions.


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