Software Defect Fault Intelligent Location and Identification Method Based on Data Mining

With the advancement of the times, computer technology is also constantly improving, and people’s requirements for software functions are also constantly improving, and as software functions become more and more complex, developers are technically limited and teamwork is not tacitly coordinated. And so on, so in the software development process, some errors and problems will inevitably lead to software defects. The purpose of this paper is to study the intelligent location and identification methods of software defects based on data mining. This article first studies the domestic and foreign software defect fault intelligent location technology, analyzes the shortcomings of traditional software defect detection and fault detection, then introduces data mining technology in detail, and finally conducts in-depth research on software defect prediction technology. Through in-depth research on several technologies, it reduces the accidents of software equipment and delays its service life. According to the experiments in this article, the software defect location proposed in this article uses two methods to compare. The first error set is used as a unit to measure the subsequent error set software error location cost. The first error set 1F contains 19 A manually injected error program, and the average positioning cost obtained is 3.75%.

Investigating the Condition Monitoring Potential of Oil Conductivity for Wear Identification in Electro Hydrostatic Actuators

To meet future goals of more electric airplanes conventional hydraulic airplane control systems, consisting of redundant centralized pumps within the airplane’s fuselage, need to be substituted for compact electro-hydraulic actuators (EHA). The capsulated architecture of EHAs results in higher safety due to separate hydraulic circuits, simple practicability of redundancy, decreased maintenance because of simplified error location detection as well as an overall reduction in weight and complexity of the airplane control system. Currently, EHAs are only used as backup devices as the reliability does not achieve normative requirements for a frontline application. Thus, recent studies aim to increase the reliability. The axial piston pump of current EHA is the source of most failures. High dynamic requirements and challenging operation points and environments result in wear of contact pairs such as swash plate/piston shoes, pistons/cylinder block and cylinder block/valve plate. In the scope of the project MODULAR at ifas one goal is to increase the robustness of the contact surfaces. A second goal addresses the topic of developing a condition monitoring approach to constantly track the pumps’ health status. Next to signals such as pressures and temperatures, acceleration and oil status signals describing the actual particle contamination are needed. In this contribution different methods of oil status detection are explained and the method of electric conductivity analysis for condition monitoring is further investigated. Filtered HLP46 is used and impurities in form of metallic powders are added. Furthermore, degraded oil of a disc-on-disc Tribometer test bench is measured and compared.

Hubungan Tingkat Pengetahuan Perawat tentang Time Out dengan Kepatuhan dalam melakukan Time Out di Ruang Operasi Rumah Sakit Balimed Denpasar

A surgical safety checklist is a communication tool for patient safety that is used by the surgical team in the operating room, including the sign in, time out, and sign out process. The time out process aims to prevent patient error, location, and surgical procedures. Therefore, compliance is required in conducting time out. The level of knowledge of nurses about time out is very important because it affects the behavior of nurses in doing time out. This study purposed to determine the correlation between the nurse knowledge level about time out and compliance in doing time out at the Bali Med Hospital, Denpasar. The design used was a descriptive correlation with the cross-sectional approach. The relationship test used the Spearman Rho test. This study involved 31 nurses as a sample with a total sampling technique. The results of research on nurse compliance were mostly 70.9% adherent category and the results for the knowledge level of nurses were mostly 77.4% with a good level. Based on the statistical test with ? = 5%, it was obtained p = 0.000 (p <0.05). It is concluded that there was a significant correlation. The direction of the correlation was positive (+), which means the level of knowledge was followed by the level of nurse compliance in doing time out. This research was expected to be an added reference for nurses in increasing compliance in doing time out.

Distribution System Restoration Based On Optimized Heuristic Search Method

Service recovery is still among the most essential approaches to enhance the durability of their contemporary distribution system. Following the error location is identified and isolated; a correct SR program ought to be ascertained to resupply out-of-service places. 2 heuristic approaches are suggested to locate an efficient and speedy solution in contemporary power supply systems. For resolving the support recovery issue in distribution systems, change selection indices sectionalizes switch stated by an analytic plan in addition to a practicable optimized heuristic graph-based process are given. The formulation of the issue includes four different functions like optimizing the complete load restored and cutting back the amount of changing operations. Maximizing the best priority restored loading, also decreasing load decreasing. A nice evaluation of change indices is used for many player tie sticks from the apparatus to think about the ideal solution and minimize the complete quantity of shifting operations. A brand new graph-based program may be used for hunting the best sectionalizes change and diminishing the voltage fall. The precision as well as the validity of this process are analyzed in two regular electrical supply procedures. The outcomes of these suggested methods are utilized for IEEE regular bus test instance.

A comprehensive quantification of error location uncertainties for the French earthquake catalog

&lt;p&gt;Locating earthquakes has been a longterm problem in seismology that depends on multiple parameters like station density and spacing, azimuthal gap, velocity models, and phase pick precision. Here, we analyze the current state of the earthquake French catalog for the time period between 2010 until 2018, which we divide into different regions: the Alps, Massif Central, the West, the Pyrenees, the Grand-East and the North. We perform multiple location synthetic tests using as benchmark the earthquake catalog and the evolution of the French seismic network to quantify the improvements in 1) earthquake location through time and 2) the error locations and their uncertainties. For such endeavors, we use NonLinLoc to perform the synthetic tests varying, as input, the stations, the number of stations and phase picks, 1D velocity models and 3D velocity models, and to understand the changes in 1) earthquake hypocenters, 2) ellipsoidal errors and 3) posterior density functions. Then, we relocate the entire catalog using NonLinLoc including 3D velocity models (where available) and compare the hypocentral location differences when we relocate the catalog with 1D velocity models. Additionally, we estimate a quality factor for each of the located earthquakes and report the changes on the quality factor with the temporal evolution of the national seismic network. The resulting catalog and its associated error location will help future seismic hazard estimations in the Metropolitan French area.&lt;/p&gt;