Construction Process Duration Predicted by Statistical Method

Many construction projects today are planned and managed using computer technology. An integral part of the management of these projects is sophisticated software, which includes statistical probabilistic methods. The main task in this area is direct verification of the validity of planned labour productivity values during the construction process according to the recorded average performance values. Using selected statistical methods and analyses, a case study can document this type of undertaking, for example, in a selected masonry process in which the upper and lower limits of performance, i.e. the optimistic and pessimistic bounds, may be calculated with 95% probability. Evaluation of these performance parameters in the construction software used for this study showed a difference in time of 11 days at the end of the process. The figures indicated a 9.6% and 14.3% decrease in labour productivity, respectively, for the optimistic and pessimistic values compared to the construction software ’ s planned values. Repeated evaluation of performance can aid in improving labour productivity and attaining project milestones and subsequent construction deadlines during the construction process. This paper aims to confirm or refute this theoretical balance using probabilistic statistical methods and to emphasize the importance of statistical analysis in the real construction process with the use of the software.

A trusted approach for prediction of data link failure and intrusion detection in wireless sensor networks

Typically, wireless senor network (WSN) is widely used in the various fields for several applications. It is a promising technology due to its higher range of the network connectivity and the fast set up of the network. But there will also be a presence of the some of the eradicating issues which will decrease the network growth. In the WSNfield the prediction of link failure is regarded as the baffling one till now. The proposed technique offers a detailed idea on the failure of link. The proficient trusted Node ID dependent resource reservation protocol (PTN-RRP) is presented in this approach. In this, the shortest path is then recognized with the use of approach weighted based end-to-end delay. This technique identifies the shortest path from a specific preliminary position to the target and thus could enhance the detectionrate. By means of recognizing shortest path, the hop address and sequence numeral is being incorporated to the protocol. Once afterwards the shortest pathdetection, the failure of link is estimated. A link failure structure in the trusted etiquetteemployed has the developedcapabilityto predict and fix issues related to link failure. After that, to identify the attack cause intended for the failureof link, a method of posterior probability evaluation is carried out to find the kind of attack. Finally, the proposed method performance isassessedover simulation study. The simulation outcomeauthorizes that the projectedmethod is effective highly in the link breakage detectionand the implemented algorithm for shortest path recognition in this will decreases the detecting shortest path time period. The performance outcome is compared with existing techniques to prove the effectiveness of proposed methodology.

Dynamic Failure Probability Evaluation of Subsea High Integrity Pressure Protection System by Bayesian Networks

Safety instrument system is composed of sensor, logic solver and final actuator. It is widely used in process industry, such as oil and gas industry, chemical industry, metallurgy and electric power industry. It is an important measure to ensure the safety of production, which can effectively avoid the potential danger to people, equipment and the environment. However, when it breaks down, the consequences can be expected to be extremely serious. Therefore, HIPPS requires low risk, so it is necessary to quantitatively evaluate the dynamic performance of HIPPS to ensure the high safety of HIPPS during the design life cycle. In this paper, a Bayesian network based method is proposed to evaluate the dynamic performance of HIPPS. The effects of different detection methods and maintenance methods on the dynamic performance of HIPPS were analyzed quantitatively. The results show that the performance of the system has been improved obviously after maintenance. Compared with the traditional method, the performance of HIPPS is improved by introducing partial stroke test. The sensitivity analysis shows that the failure rate has a great influence on the risk of HIPPS valve. Increased coverage of PST may improve the performance of HIPPS.