Proficiency improvement method in maritime education

The research conducted by the International Maritime Organization (IMO) shows that maritime education not always reaches its pre-established goal. One of the aspects in maritime education development process with the aim to prepare ship officers and other specialists is a thorough selection of the learning content according to real life necessities. Structuring the learning content of the subjects, both significant to profession and conforming to the requirements set by professional bodies, is one of the key issues addressed by curriculum developers. The aim of this research is to create a model for the curriculum development in scientific subjects for outcome-based maritime education. The main criterion which determines the significance/contribution level of the included topic in the curriculum is the anticipated learning outcome increasing the level of proficiency in students. Thus, the present research unveils the necessary steps for the evaluation of the proposed topics in the context of teaching/learning and gives grounds for their selection and the arrangement of topics in a logical order for further implementation in teaching/learning process. The present research is illustrated by a case study concerning the development of teaching/learning content for chemistry curriculum as a study subject in the secondary vocational maritime education programme.     

Analysis of ship drifting in a narrow channel using Automatic Identification System (AIS) data

With maritime transportation has played an important role in global economy development, ship traffic has become more congested. Therefore, ships navigate under risk conditions, and thus maritime accidents have occurred frequently. Especially, ship passing through a narrow channel is even more dangerous. Because, the ships are easy to be affected by external forces such as wind and currents that can cause ship drifts. Many latent risks are present during navigation. In order for the development of a sensible and appropriate traffic model for the safety and efficiency ship navigation, this study has focused on the actual ship behavior to understand the ship drift in the Kurushima Strait, Japan, which is one of the most dangerous routes in Japan. The analysis of ship behavior was carried out using the Automatic Identification System (AIS) data. As a result, the ships drift was understood in detail, and the latent risk was unveiled when ships pass through the narrow route. Moreover, the risk areas were obtained and visualized by the ship drift behavior analysis. The obtained results can be applied to ensure safe navigation and the development of an eco-friendly and economy efficient for ship navigation.     

Analyzing the dispersion of cargo vapors around a ship’s superstructure by means of wind tunnel experiments

In a previous study, it was found that cargo tank operations like cleaning and venting, lead to higher cargo vapor concentrations around the ship’s superstructure. Can wind tunnel experiments confirm these findings? Is there an improvement when using higher outlets at high velocities compared to lower outlets with a low outlet velocity? Is there a relation between relative wind speed and measured concentration? These questions were investigated in the Peutz wind tunnel. By using a tracer gas for the wind tunnel experiments, concentration coefficients have been calculated for various settings. The study shows that using high-velocity outlets is an efficient way to keep concentrations as low as possible. The only exception is for relative wind directions from the bow. In this last case using a manhole as ventilation outlet leads to lower concentrations. With increasing wind speeds the building downwash effect resulted in higher concentration coefficients near the main deck. This study confirms our on-board measurements and suggests the lowering of the ventilation inlet of the accommodation, so that the high-velocity outlet can be used safely at all times.     

Optimization of integrated scheduling of handling and storage operations at automated container terminals

Increasing demand for containerization compels container terminals to improve their performance. Uncoordinated scheduling of operations is one of the main factors accounting for poor performance at automated container terminals (ACTs). To increase land utilization efficiency and lower operational times, a new storage system called the split-platform automated storage/retrieval system (SP-AS/RS) has been introduced for temporary storage of containers. This paper describes a multi-objective mixed-integer programming (MIP) model that is based on a combination of multiple interacting sub-tasks. It is aimed at optimizing the integrated scheduling of handling and storage operations in ACTs. The MIP model objective function is to minimize delays in the loading/unloading tasks of the cranes and the travel time of vehicles and platforms in the SP-AS/RS. At the same time, a simulated annealing algorithm (SAA) that provides near-optimal solutions for the problem in a reasonable computation time is appraised. The results of this study show that the objective function of the MIP model is, on average, 58 % lower than that of the non-integrated scheduling method. On the other hand, the best objective function values obtained by the SAA indicate only a 3.7 % disadvantage in comparison with optimal values determined by the MIP model, demonstrating that the SAA is able to provide near-optimal solutions for the integrated scheduling of handling and storage operations.     

Robust principal component analysis via truncated nuclear norm minimization

Robust principal component analysis(PCA) is widely used in many applications, such as image processing, data mining and bioinformatics. The existing methods for solving the robust PCA are mostly based on nuclear norm minimization. Those methods simultaneously minimize all the singular values, and thus the rank cannot be well approximated in practice. We extend the idea of truncated nuclear norm regularization(TNNR) to the robust PCA and consider truncated nuclear norm minimization(TNNM) instead of nuclear norm minimization(NNM). This method only minimizes the smallest N-r singular values to preserve the low-rank components, where N is the number of singular values and r is the matrix rank. Moreover, we propose an effective way to determine r via the shrinkage operator. Then we develop an effective iterative algorithm based on the alternating direction method to solve this optimization problem. Experimental results demonstrate the efficiency and accuracy of the TNNM method. Moreover, this method is much more robust in terms of the rank of the reconstructed matrix and the sparsity of the error.     

Research on gray system and quantitative model about the fund-raising ability to China private equity fund

It is a rather challenging project to seek the amount of funds raised by funds-raising companies. This paper is focused on China private equity funds that have succeeded in raising their funds. The grey systemic model is applied in the research and a formula is established for the law of fund-raising of the private equity funds in order to sum up the capacity of China private equity investment funds and to establish a model accordingly.     

Bivariate Constant-Stress Accelerated Degradation Model and Inference Based on the Inverse Gaussian Process

Modern highly reliable products may have two or more quality characteristics (QCs) because of their complex structures and abundant functions. Relations between the QCs should be considered when assessing the reliability of these products. This paper conducts a Bayesian analysis for a bivariate constant-stress accelerated degradation model based on the inverse Gaussian (IG) process. We assume that the product considered has two QCs and each of the QCs is governed by an IG process. The relationship between the QCs is described by a Frank copula function. We also assume that the stress on the products affects not only the parameters of the IG processes, but also the parameter of the Frank copula function. The Bayesian MCMC method is developed to calculate the maximum likelihood estimators (MLE) of the model parameters. The reliability function and the mean-time-to-failure (MTTF) are estimated through the calculation of the posterior samples. Finally, a simulation example is presented to illustrate the proposed bivariate constant-stress accelerated degradation model.     

Total losses and the peril of piracy in English law of marine insurance

Whereas the Marine Insurance Act 1906 provides substantial detail about total losses, very little is provided in relation to piracy in the said statute. The recent judgments in Masefield v Amlin by Steel J ([2010] 1Lloyd's Rep. IR 345) and then by the English Court of Appeal ([2011] EWCA Civ 24) have highlighted the difficulties associated with determining whether a seizure of the subject-matter of insurance, in this case cargo, by pirates, demanding a ransom, can give rise to a claim for a total loss. This is a very important matter which also raises issues of legality and public policy. This article examines the implications of this judgment against the backdrop of the English marine insurance definition of piracy and the intricacies of the law relating to constructive and actual total losses. The article concludes with the suggestion that possibly the marine insurance definition of piracy should tally with that in the domain of public international law, and further, that legislative intervention should be considered for the purpose of ascertaining the point in time whether and when seizure by pirates can constitute a total loss.     

Piracy off West Africa from 2010 to 2014: an analysis

Piracy is one of the most frequent maritime threats. However, despite the importance of how maritime piracy is to be reduced, it is substantially less investigated than maritime safety. Piracy off Somalia is the most investigated case of piracy, but those results are not necessarily generalizable. Piracy off West Africa has been shown to be more diverse, successful and dangerous. This study investigates and analyses piracy off West Africa with the aim to understand how different operations and security measures affect the consequences of piracy. This study has identified several different intents and shows that most attacks are relatively close to shore and correspond to areas of high ship density. Attacks with the intent of theft at night-time are generally performed close to shore, and more complicated attacks against ships under way are more common during daytime and farther from shore. Five types of measures are found to have high effectiveness if the attack is detected during approach; after boarding, only two measures have high effectiveness. Of the effective measures, it can be concluded that all but one are dependent on detecting the attack. Therefore, detecting the pirates is key but must be accompanied by a set of measures because no measure alone can protect a ship given the operational conditions off West Africa. The risks associated with piracy off West Africa are estimated to be of the same magnitude as the risks posed by Somali piracy at its peak.     

Identification and quantification of link vulnerability in multi-level public transport networks: a passenger perspective

Robust public transport networks are important, since disruptions decrease the public transport accessibility of areas. Despite this importance, the full passenger impacts of public transport network vulnerability have not yet been considered in science and practice. We have developed a methodology to identify the most vulnerable links in the total, multi-level public transport network and to quantify the societal costs of link vulnerability for these identified links. Contrary to traditional single-level network approaches, we consider the integrated, total multi-level PT network in the identification and quantification of link vulnerability, including PT services on other network levels which remain available once a disturbance occurs. We also incorporate both exposure to large, non-recurrent disturbances and the impacts of these disturbances explicitly when identifying and quantifying link vulnerability. This results in complete and realistic insights into the negative accessibility impacts of disturbances. Our methodology is applied to a case study in the Netherlands, using a dataset containing 2.5 years of disturbance information. Our results show that especially crowded links of the light rail/metro network are vulnerable, due to the combination of relatively high disruption exposure and relatively high passenger flows. The proposed methodology allows quantification of robustness benefits of measures, in addition to the costs of these measures. Showing the value of robustness, our work can support and rationalize the decision-making process of public transport operators and authorities regarding the implementation of robustness measures.