• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.10
• /
• pp.2454-2460
• /
• 2013

So far, the port cargo handling capacity of general cargo was computed using simple formulae based on mathematical models. However, this simple calculation could not be able to reflect the reality. Thus, the simulation method was applied in this paper to overcome the limitation that the calculation method used in the past studies has. The process occurring from arrival to departure of a ship, which is reflecting the process rules of berth, was modeled to estimate the optimum level of handling capacity by using an example of the loading and unloading of an appropriated wharf at the harbor, and simulation was performed by developing the prototype. The actual processing capability of Mukho port was compared to the estimated capability calculated using the simulation method and the optimum level of capability could be computed by repeatedly simulating the input variable condition of the simulation prototype.

• Journal of the Korean Institute of Navigation
• /
• v.17 no.3
• /
• pp.57-68
• /
• 1993

The economy of Korea has grown up significantly in its scale. It has, therefore, become imperative to develop countermeasures to prevent work related injuries and occupational illnesses resultining from haza-rdous working conditions and handling harmful substances. A lot of cargo handling accident in port have occurred due to the characteristics of poor working environment, diversity of working place and method, fluctuation of the amount of cargo and handling of heavy, long, harmful and dangerous cargo, etc. According to '91 industrial accident analysis carried out by the ministry of labour, the number of the stevedores injured by cargo handling accident in port were 1, 432 persons (the death accident : 22 per-sons), the amount of industrial accident compensation in port was 6.7 billion won (the amount of economic loss : 33.6 billion won), and the injury occurance rate of the stevedoring industry was higher than that of the whole industry. This paper, therefore, aims to the actual status of the stevedoring industry and to extract the main cau-ses of the accidents related to cargo handling in port through factor analysis using the data of the accide-nts in the whole habour from 1990 to 1992, and to suggest the countermeasures to prevent such accident. The main causes of the accident and countermeasures are found to be as follows through the factor analy-sis : Factor1, factor2, and factor3 related to a defect of human being and management, a defect of state and environment, and an insufficiency of education and law are extracted. The short-term countermeasures to prevent these accidents are 1) to consolidate the safety and health organization in the working spot, 2) to secure a safe condition in working spot before dock work, 3) to strengthen a dock worker's safety educa-tion. The long-term countermeasures are 1) to promote a decasualisation of dock workers, 2) to modernize the cargo working methods through constructing exclusive pier and introducing exclusive cargo handling equipment, 3) to establish a exclusive dock accident prevention organization and the dock workers law. Factor 4, factor5, factor6, and factor7 related to an unfitness, a deficiency of technical knowledge, a nonfu-lfilment of safety measures, and a bad arrangement are extracted. The countermeasures to prevent these accidents are 1) to perform a complete safety inspection of cargo handling equipments and tools and to carry out the dock work according to a working plan, 2) to publish and supply technical safety books, safety instruction book, safety check list, etc., 3) to strengthen the safety patrol at the working spot in habour and to activate a safety fund, 4) to maintain always a clean workshop with the safety consciousness in which the good arragement of the working spot is considered to be the beginning of safety.

• Journal of Korea Port Economic Association
• /
• v.32 no.2
• /
• pp.137-156
• /
• 2016

This study analyzes the optimal service levels of exclusive container terminals in terms of the optimal berth occupancy rate and the ships' waiting ratios, based on the number of berths. We develop a simulation model using berth throughput data from pier P, Busan New Port, a representative port in Korea, and apply the simulation results to different numbers of berths. In addition to the above results, we analyze the financial data and costs of delayed ships and delayed cargoes for the past three years from the viewpoints of the terminal operation company (TOC), shipping companies, and shippers to identify the optimal service level for berth occupancy rates that generate the highest net profit. The results show that the optimal levels in the container terminal are a 63.4% berth occupancy rate and 10.6% ship waiting ratio in berth 4,66.0% and 9.6% in berth 5, and 69.0% and 8.5% in berth 6. However, the results of the 2013 study by the Ministry of Maritime Affairs and Fisheries showed significantly different optimal service levels: a 57.1% berth occupancy rate and 7.4% ship waiting ratio in berth 4; 63.4% and 6.6% in berth 5; and 66.6% and 5.6% in berth 6. This suggests that optimal service level could change depending on when the analysis is performed. In other words, factors affecting the optimal service levels include exchange rates, revenue, cost per TEU, inventory cost per TEU, and the oil price. Thus, optimal service levels can never be fixed. Therefore, the optimal service levels for container terminals need to be able to change relatively quickly, depending on factors such as fluctuations in the economy, the oil price, and exchange rates.

• Structural Engineering and Mechanics
• /
• v.85 no.4
• /
• pp.469-484
• /
• 2023

A deep recursive bidirectional Cuda Deep Neural Network Long Short Term Memory (Bi-CuDNNLSTM) layer is recruited in this paper to predict the entire force time histories, and the corresponding hysteresis and backbone curves of reinforced concrete (RC) bridge piers using experimental fast and slow cyclic tests. The proposed stacked Bi-CuDNNLSTM layers involve multiple uncertain input variables, including horizontal actuator displacements, vertical actuators axial loads, the effective height of the bridge pier, the moment of inertia, and mass. The functional application programming interface in the Keras Python library is utilized to develop a deep learning model considering all the above various input attributes. To have a robust and reliable prediction, the dataset for both the fast and slow cyclic tests is split into three mutually exclusive subsets of training, validation, and testing (unseen). The whole datasets include 17 RC bridge piers tested experimentally ten for fast and seven for slow cyclic tests. The results bring to light that the mean absolute error, as a loss function, is monotonically decreased to zero for both the training and validation datasets after 5000 epochs, and a high level of correlation is observed between the predicted and the experimentally measured values of the force time histories for all the datasets, more than 90%. It can be concluded that the maximum mean of the normalized error, obtained through Box-Whisker plot and Gaussian distribution of normalized error, associated with unseen data is about 10% and 3% for the fast and slow cyclic tests, respectively. In recapitulation, it brings to an end that the stacked Bi-CuDNNLSTM layer implemented in this study has a myriad of benefits in reducing the time and experimental costs for conducting new fast and slow cyclic tests in the future and results in a fast and accurate insight into hysteretic behavior of bridge piers.

• The Journal of the Korea Contents Association
• /
• v.22 no.10
• /
• pp.733-741
• /
• 2022

Among the various evidence found in maritime crimes, fingerprints and DNA are very important in that they can identify a suspect. In this study, 5 types of non-porous surfaces (plastic, stainless, glass, ceramic, FRP), which are often found as evidence in the actual marine environment, were selected, and latent and blood fingerprints were passed down and immersed at the Donghae Maritime Police Station's exclusive pier for about 7 days. After that, DNA extraction, quantification, and STR profile were analyzed after fingerprint developing CA fumming method and 4 powder methods (Swedish black powder, Concentrated black powder, Supranano red powder, Dazzle orange powder). Among the fingerprint developing methods, when Supranano red powder was applied, a relatively high amount of DNA was found. As a result of STR profile analysis, an average of 16.8 to 9 loci were secured, and all 20 were confirmed in glass and ceramic materials. As a result of the study, it was possible to secure the STR profile by extracting and quantifying DNA after applying the fingerprint developing method to virtual evidence immersed for about 7 days, and further research is needed to secure the STR profile by analyzing DNA after applying various fingerprint developing methods such as VMD and SPR.