cover
Contact Name
Anita Susilawati
Contact Email
anitasusilawati@lecturer.unri.ac.id
Phone
-
Journal Mail Official
jomase@isomase.org
Editorial Address
Teknik Mesin, Fakultas Teknik, Universitas Riau Kampus Bina Widya, Jl. HR. Soebrantas Km. 12,5 Panam, Pekanbaru 28293, Riau, INDONESIA
Location
Kota pekanbaru,
Riau
INDONESIA
Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Published by Universitas Riau
ISSN : 23547065     EISSN : 25276085     DOI : http://dx.doi.org/10.36842/jomase
The mission of the JOMAse is to foster free and extremely rapid scientific communication across the world wide community. The JOMAse is an original and peer review article that advance the understanding of both science and engineering and its application to the solution of challenges and complex problems in naval architecture, offshore and subsea, machines and control system, aeronautics, satellite and aerospace. The JOMAse is particularly concerned with the demonstration of applied science and innovative engineering solutions to solve specific industrial problems. Articles preferably should focus on the following aspects: new methods or theory or philosophy innovative practices, critical survey or analysis of a subject or topic, new or latest research findings and critical review or evaluation of new discoveries. Scope The JOMAse welcomes manuscript submissions from academicians, scholars, and practitioners for possible publication from all over the world that meets the general criteria of significance and educational excellence. The scope of the journal is as follows: Naval Architecture and Offshore Engineering Computational fluid dynamic and Experimental Mechanics Hydrodynamic and Aerodynamics Noise and Vibration Aeronautics and Satellite Engineering Materials and Corrosion Fluids Mechanics Engineering Stress and Structural Modeling Manufacturing and Industrial Engineering Robotics and Control Heat Transfer and Thermal Power Plant Engineering Risk and Reliability Case studies and Critical reviews
Articles 329 Documents
Analysis of Electrical System Reliability for Premium Customer after Installation of Automatic Change Over Switch (ACOS) - A Case Study Arlenny, Arlenny; Pratiwi, Dessy; Situmeang, Usaha
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i1.531

Abstract

PLN is the electricity company that distributes electricity to customers, always tries to improve the quality of system reliability. So, it can continue to distribute electrical energy to customers and reduce the decline in Energy Not Supplied (ENS) on the PLN side. One way for PLN to avoid blackouts to the customers, especially premium customers, from planned or unplanned blackouts by installing an Automatic Change Over Switch (ACOS) on the incoming customer side. This paper aims to analysis of electrical system reliability for premium customers after Installation of Automatic Change Over Switch (ACOS). Data collection was carried out on the premium customer of 328 electricity distribution system supplied by the Senangin Feeder or Abadi Feeder from GI Garuda Sakti, Pekanbaru with a power transformer capacity at TD#4 of 60 MVA with a feeder length of 10.25 KMs using medium voltage cable channels, with a radial system. From the results of calculations carried out on the Senangin feeder, which supplies electrical energy to customers, the SAIFI (System Average Interruption Frequency Index) index value was 71,647 outages/year in 2018 and SAIDI (System Average Interruption Duration Index) was 3.44 hours/year in 2018, while the Energy Not Supplied (ENS) value in 2018 was 33,781.83 kWh and 5,124.36 kWh in 2019.
Design and Implementation of Arduino-Based PID Control System for Water Level Regulation Using Ultrasonic Sensors Efendi, Mas; Candra, Feri
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i1.527

Abstract

Water resource management is a critical aspect of various sectors, including agriculture, industry, and household applications, where maintaining optimal water levels is essential for efficiency, sustainability, and safety. Traditional water level control methods often rely on manual operations, leading to inefficiencies, resource wastage, and potential system failures. To address these challenges, this study presents the design and implementation of an automated water level control system using a Proportional-Integral-Derivative (PID) controller, an HC-SR04 ultrasonic sensor, and an Arduino Uno microcontroller. The system is designed to enhance accuracy and reliability in liquid level regulation, particularly in industrial and domestic settings. By systematically tuning the Proportional Gain (Kp), Integral Gain (Ki), and Derivative Gain (Kd), the optimal parameter values were determined as Kp = 20.0, Ki = 11.0, and Kd = 1.0. Experimental results demonstrated that the proposed system achieves stable water level regulation with rapid response times and minimal deviations. This research contributes to the advancement of automated liquid control technologies, offering a cost-effective and efficient solution for real-world water management applications.
Analysis of Wind Potential as a Form of New and Renewable Energy at Manna in Bengkulu Panggabean, Yehezkiel; Hermanto, Mochammad Fathurridho; Kencana, Elsa Rizkiya; Nandalianadhira, Nafisa
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i1.528

Abstract

The energy from fossil fuels is declining due to modern society's high energy demands. This study investigates the potential of renewable energy, focusing on wind energy as a sustainable solution. It analyzes the Weibull and Rayleigh distributions to assess wind speed suitability in Bengkulu. The average wind speed at Manna Beach is 2.5 m/s, with a minimum of 0.01 m/s and a maximum of 10.01 m/s. Data validation tests were conducted at a height of 10 meters using Chi-Square and Kolmogorov-Smirnov methods. The chi-square test results indicated the values of 0.11 for Weibull and 0.42 for Rayleigh. The Kolmogorov-Smirnov test yielded value of 0.82 for Weibull and 0.84 for Rayleigh. Therefore, the suggesting Weibull was more suitable. Furthermore, using the Aventa AV-7 wind turbine, an annual output of 11,096.29 kWh can supply 30% of the electricity demand, which requiring 199 turbines. Ultimately, 40 turbines effectively contribute 6% or 440,621.94 kWh of total demand.
Comparison of Machine Learning Algorithms for Palm Oil Fresh Fruit Bunch (FFB) Ripeness Nasirly, Riri; Arsy, Fadli; Rohatul, Qolby
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i1.523

Abstract

Determining the maturity level of FFB is crucial because it directly affects the quality and quantity of palm oil produced. Ripe FFB has high oil content, ensuring better-quality palm oil. Traditional methods include visual inspection, manual sampling, and physical testing, which are labor-intensive and subjective and can result in inconsistencies and errors. Machine learning algorithms can analyze datasets quickly and accurately, while also identifying patterns and features that are not easily visible to humans. Therefore, the aim of this study is to examine and evaluate the effectiveness of machine learning algorithm classifiers in determining oil palm FFB ripeness. The algorithms used in this research for classification analysis are Logistic Regression, Support Vector Machines (SVM), k-Nearest Neighbors (k-NN), Neural Networks (NN), and Naïve Bayes. In this research, the analysis was carried out using the Orange data mining tool, which carried out data analysis and data visualization. The results of performance evaluation was tested, and assessment (cross-validation accuracy estimation), ROC (Receiver Operating Characteristic) analysis, and confusion matrix. The best models were Neural Network, Logistic Regression and SVM. Naïve Bayes appears to have lower performance. The results using the prediction widget show that logistic regressing has the best accuracy.
Climate Change Impact on Temperature, Rainfall, and Humidity in Batang Toru, South Tapanuli Siregar, Anjeli Agustina; Berliani, Riska; Abrar, Camelia Batun; Suhendra, Suhendra; Lizalidiawati, Lizalidiawati
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i1.526

Abstract

Batang Toru is a sub-district in South Tapanuli Regency that is vulnerable to climate change due to forest conversion to gold mining. This is thought to be the cause of climate change in Batang Toru. This study aims to determine climate variability due to the influence of gold mining in Batang Toru. This research can provide useful information for designing policies, reducing risks, and improving operational sustainability at the Batang Toru mine. The data used are monthly mean temperature, rainfall, and humidity data for 5 years before and after mining operations (1992-1996 and 2018-2022) obtained from BMKG FL Tobing Meteorological Station and NASA. The methods used are descriptive, quantitative, and correlation analysis of temperature, rainfall, and humidity data. Data processing uses Panoply software to create 2D distribution maps and Microsoft Excel to see the time series of each data. The results showed that temperature variability increased by 0.53°C. Batang Toru's rainfall variability is of the equatorial type, with peaks occurring in October and April. The average humidity value for the last 5 years was 84.88% and previously it was 82.88%. Based on the results of the study, it is known that the impact of gold mining operations has greatly affected climate variability in Batang Toru.
Advanced Design and Simulation of Spreader Bar for Safe Lifting of 80 Tons Pressure Vessel by Using Finite Element Analysis Kusuma, Bagus; Hasibuan, Fardin; Hakim, Arif Rahman; Yulianta, Eka Chandra
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i1.522

Abstract

This study focuses on designing and optimizing a spreader bar for lifting a pressure vessel are 14,214 millimeters in length, 4,364 millimeters in diameter, and a total weight of 80 tons, addressing challenges in load distribution and safety. The spreader bar, constructed from API 5L X52material, was modeled using SolidWorks and analyzed through Finite Element Analysis (FEA) under four lifting configurations. Key parameters such as stress, strain, and displacement were evaluated to ensure compliance with safety standards. Results indicated that all configurations meet the required safety factor of 1.5, with simulation 3 (C-C) demonstrating the best performance in minimizing stress and displacement. The discussion highlights the design's ability to balance structural integrity, material efficiency, and operational safety. The study concluded that the proposed spreader bar design enhances workplace safety, reduces the risk of equipment failure, and provides a cost-effective solution for heavy lifting tasks.
The Application of Numerical Study for Dynamic Vibration Absorber in Suspension System to Improve Four Wheel Vehicle Comfort Hafizah, Hafizah; Mainil, Rahmat Iman; Abdurrahman, Ridwan; Nazaruddin, Nazaruddin
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i1.384

Abstract

This study aims to develop a Dynamic Vibration Absorber (DVA) for a four-wheeled vehicle, specifically the "Toyota Fortuner 4.0 V6 SR" model. The quarter vehicle structure was modeled as a two degree of freedom system with disturbances in the form of road contours and speed. The natural frequency of the DVA was designed to be equal to the lowest natural frequency of the vehicle. Hence, if the vehicle moved at a speed or road contour disturbance close to its natural frequency, the vibration energy will be transferred or received by the DVA so that the vehicle structure did not oscillate. Two DVAs were mounted on the top of the vehicle body. The results obtained the vibration that occurs when the disturbance frequency was closed to the lowest natural frequency of the ¼ vehicle structure. It was significantly reduced by the addition of two DVAs. The design model of the ¼ vehicle test structure and Dynamic Vibration Absorber (DVA) in this study can be used as a reference for the implementation of experiments. The results of experimental calculations can be compared with the results of theoretical calculations to strengthen the credibility of the results.
Air Monitoring and Pollution Mitigation System in Urban Areas Using IoT Aminuddin, Harris; Tarigan, Dito Arief Maulana; Dalil, M
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v69i1.371

Abstract

Urban air monitoring and pollution mitigation systems are important efforts to maintain air quality in increasingly dense urban environments. This project aims to design and implement an Internet of Things (IoT)-based system that is capable of monitoring air quality and mitigating pollution automatically. This system used a Sharp GP2Y1010AU0F dust sensor to detect dust particles, a DHT22 sensor to measure temperature and humidity, and an HC-SR04 ultrasonic sensor to detect water levels in case of flooding. Additionally, it used the SG90 servo to automatically open and close the water valve, and 5V mini water pump to spray water from the underground tank, thereby reducing air pollution levels. The implementation of this system was carried out using plastic containers separated by plywood as a water storage medium and sensor installation. Data from sensors was sent to Blynk's IoT Platform for real-time monitoring. Apart from that, this system was also integrated with Telegram to provide notifications to residents if pollution levels worsen. Hence, they can immediately take preventative action by staying at home. Test results showed that the system was able to detect changes in air quality and water levels with precises accuracy. Apart from that, this system can also carry out pollution mitigation measures automatically by spraying water when pollution levels exceed a predetermined threshold. This project is expected to contribute to improving air quality in cities and can be widely implemented in various cities with high levels of pollution.
Performance of VLCC Ship with Podded Propulsion System and Rudder Koto, Jaswar; Amin, Amirul
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 3 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v3i1.521

Abstract

Podded propulsion system becomes common installed in ships due to high maneuvering. The purpose of this paper is to discuss performance of both VLCC ships with podded propulsion and rudder. As initial offset data, published ship (SR221A) was used for generating hull form of a podded propulsion ship using Maxsurf software by maintaining the principal dimension: length, breadth, and draft. In order to suit installation of podded house, the stern part was modified. The hydrostatic data of both ships with podded propulsion and rudder are transferred to Ship Resistance and Propulsion Simulation software to determine the running speed by given same power. It was found that running speed produced by a ship using pod propulsion system lower than the speed produced by a ship using rudder.
Design of a Body with Depth Control System for an Underwater Glider Ghani, Muhamad Fadli; Abdullah, Shahrum Shah
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 3 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v3i1.520

Abstract

The underwater glider is used for deep water to observe large areas with minimal use of energy and move through the water by changing the body weight. The glider contained a cylindrical body attached with two wings and a fix tail. The controller has been designed to use a comparator circuit integrate with a pressure sensor to control the depth level. The pressure sensor mounted on the glider used to sense the underwater pressure. For the beginning, this underwater glider is limited to a depth of 0-10 meters.

Filter by Year

2013 2025


Filter By Issues
All Issue Vol 69 No 3 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 69 No 2 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 69 No 1 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 68 No 3 (2024): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 68 No 2 (2024): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 68 No 1 (2024): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 67 No 3 (2023): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 67 No 2 (2023): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 67 No 1 (2023): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 66 No 3 (2022): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 66 No 2 (2022): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 66 No 1 (2022): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 65 No 3 (2021): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 65 No 2 (2021): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 65 No 1 (2021): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 64 No 3 (2020): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 64 No 2 (2020): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 64 No 1 (2020): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 63 No 3 (2019): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 63 No 2 (2019): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 63 No 1 (2019): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 62 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 61 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 60 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 59 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 58 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 57 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 56 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 55 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 54 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 53 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 52 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 51 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 50 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 49 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 48 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 47 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 46 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 45 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 44 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 43 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 42 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 41 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 40 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 39 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 38 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 37 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 36 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 35 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 34 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 33 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 32 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 31 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 30 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 29 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 28 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 27 No 1 (2016): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 26 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 25 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 24 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 23 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 22 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 21 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 20 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 19 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 18 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 17 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 16 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 15 No 1 (2015): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 14 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 13 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 12 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 11 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 10 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 9 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 8 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 7 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 6 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 5 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 4 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 3 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 2 No 1 (2013): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Vol 1 No 1 (2013): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) More Issue