Hull loss accident model for narrow body commercial aircraft

Accidents with narrow body aircraft were statistically evaluated covering six families of commercial aircraft includingBoeing B737, Airbus A320, McDonnell Douglas MD80, Tupolev TU134/TU154 and Antonov AN124. A risk indicator for eachflight phase was developed based on motion characteristics, duration time, and the presence of adverse weather conditions.The estimated risk levels based on these risk indicators then developed from the risk indicator. Regression analysis indicatedvery good agreement between the estimated risk level and the accident ratio of hull loss cases per number of delivered aircraft.The effect of time on the hull loss accident ratio per delivered aircraft was assessed for B737, A320 and MD80. Equationsrepresenting the effect of time on hull loss accident ratio per delivered aircraft were proposed for B737, A320, and MD80,while average values of hull loss accident ratio per delivered aircraft were found for TU134, TU154, and AN 124. Accidentprobability equations were then developed for each family of aircraft that the probability of an aircraft in a hull loss accidentcould be estimated for any aircraft family, flight phase, presence of adverse weather factor, hour of day, day of week, monthof year, pilot age, and pilot flight hour experience. A simplified relationship between estimated hull loss accident probabilityand unsafe acts by human was proposed. Numerical investigation of the relationship between unsafe acts by human andfatality ratio suggested that the fatality ratio in hull loss accident was dominated primarily by the flight phase media

Implementering av FN:s genusrelaterade resolutioner i EU:s fredsfrämjande operationer - En jämförande studie för att kartlägga orsaker till bristande och varierande jämställdhet inom EU:s civila och militära operationer

Denna undersökning analyserar vad som påverkar hur väl FN:s genusrelaterade resolutioner implementeras i EU:s civila och militära operationer, där åtta EU-administrerade uppdrag undersöks. Syftet med studien är att undersöka vilka faktorer som ligger till grund för problematiken kring bristande implementering av genusperspektivet, men även varför det varierar mellan de olika operationerna. Detta görs genom en komparativ metod, baserad på empiriskt material i form av bland annat rapporter och officiella beslut från EU för respektive operation. Det empiriska materialet analyseras därefter utifrån fyra indikatorer, baserade på Folke Bernadotteakademins teoretiska ramverk, samt fyra förklaringsvariabler, vilka ämnar belysa vad som påverkar hur väl FN:s genusrelaterade resolutioner implementeras i EU:s operationer. Slutsatsen ger en tydlig bild av vad som påverkar att implementeringen av genusperspektivet är bristfälligt, men även att det varierar mellan operationerna

The effect of macroeconomic variables on Islamic Unit Trust fund / Noor Shuaida Abu Bakar

This paper is made to find out about the effect macroeconomic variables with Islamic unit trust fund. By using the secondary data for this analysis is retrieved from other journal, article, bank statistic and DataStream. Sample data for this study comprises of 10 companies randomly selected from DataStream on over ten years started from 2004 to 2013. The methodology used for this study is by using the Multiple Linear Regression with panel data sourced from DataStream. In this study, the dependent variable is return of Islamic unit trust fund while the independent are macroeconomic variables. Based on the variables, the purpose of the study is to invstigate the linkage or relationship between the macroeconomic variables on the Islamic unit trust in Malaysia for ten years started from 2004 until 2013. In addition, this research like to explore the effects of macroeconomic variables example gross domestic product (GDP), interest rate (BLR) and inflation rate (CPI) to the return on Islamic unit trust fund. As for this study an individual need to maintain their own portfolio of investment, they need to keep up date with market information and sentiments. Also, in making better judgment whether to buy or sell the funds, as the investors should know what will affect their funds returns in order to get high return in the future. Therefore, it highlights the most important of macroeconomic variables to ensure that improvement in company’s market return. Thus, the result of this research paper will help the company especially the manager and investor to identify the steps that should be taken before make the decision on Islamic unit trust fund

Risk Analysis, Pilot Motivation, and Decision-Making: Application of the PAVE Personal Minimums Checklist to Pilot Decision-Making in Three General Aviation Accidents

This paper addresses the relative effects of risk and pilot motivation on decisions made by three general aviation pilots. Using the PAVE (Pilot, Aircraft, environment, External pressures) personal minimums checklist, various risk elements related to the flights and information available to the pilots prior to/during flight are considered. The motivation behind each pilot’s decision to go ahead with the flight in spite of adverse conditions is also discussed. Use of the checklist as an in-flight decision-making tool, as well as go/no-go decision-making are considered, and suggestions for further research are offered

Aeronautical engineering: A continuing bibliography with indexes (supplement 202)

This bibliography lists 447 reports, articles and other documents introduced into the NASA scientific and technical information system in June 1986

Unstable Approaches: Exploring the Legal, Linguistic, and Sociocognitive Dimensions

The Flight Safety Foundation (2017) states that the approach and landing phases of a flight are the most critical and statistically risky, accounting for approximately 65 percent of all accidents annually. Unstable approaches have been a longstanding hazard in aviation, and addressing this issue as well as reducing approach and landing accidents has been a top priority for aviation organizations. To achieve this goal, extensive research has been conducted on various aspects of the issue, including training, human factors, pilot experience, and compliance with standard operating procedures (SOPs), and informative materials developed by globally recognized organizations such as IATA and CANSO. Additionally, proactive measures such as Flight Data Monitoring (FDM) have been implemented by airlines to effectively manage the issue by capturing the relevant variables and trends. However, despite these significant efforts, unstable approaches continue to pose a persistent threat to aviation safety. Shockingly, 95-97% of these approaches do not result in a Go-around, contrary to established Standard Operating Procedures (SOPs). This discrepancy highlights a significant gap between the vital level of research and procedures in place to address the real time operational problems faced by pilots and air traffic controllers, Underscoring the need for more effective remedial actions to prevent accidents and  incidents resulting from unstable approaches. This paper aims to propose some solutions at the operational level based on a data-driven approach, utilizing air accidents and incidents reports and existing documents. The propounded solutions take sociocognitive, psychosocial, linguistic, legal, regulatory and training aspects of the issue into account

On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study

Granular Computing is a powerful information processing paradigm, particularly useful for the synthesis of pattern recognition systems in structured domains (e.g., graphs or sequences). According to this paradigm, granules of information play the pivotal role of describing the underlying (possibly complex) process, starting from the available data. Under a pattern recognition viewpoint, granules of information can be exploited for the synthesis of semantically sound embedding spaces, where common supervised or unsupervised problems can be solved via standard machine learning algorithms. In this companion paper, we follow our previous paper (Martino et al. in Algorithms 15(5):148, 2022) in the context of comparing different strategies for the automatic synthesis of information granules in the context of graph classification. These strategies mainly differ on the specific topology adopted for subgraphs considered as candidate information granules and the possibility of using or neglecting the ground-truth class labels in the granulation process and, conversely, to our previous work, we employ a filtering-based approach for the synthesis of information granules instead of a clustering-based one. Computational results on 6 open-access data sets corroborate the robustness of our filtering-based approach with respect to data stratification, if compared to a clustering-based granulation stage