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Aircraft Detection in Low Visibility Condition Using Artificial Intelligence
Get PDFBad weather often interferes with the functioning of the air transport system. One example is the frequent flight delays for commercial aircraft, resulting in losses for both the airline and passengers. Artificial Intelligence (AI) technology can now minimize delays caused by bad weather, especially in low visibility conditions. This paper discusses AI modeling that can detect aircraft in a low visibility weather condition, especially in the airport area. The employed method is the deep learning approach with the YOLOv4 algorithm (single-stage detection), which is regarded as one of the optimal platforms in this field. There are 600 images used in this work to create and train three different models. Image Dehazing filter is employed on the training data before it is trained to produce the detection model. The result shows that the model has a good performance in terms of performance metrices. Thus, this model is suitable to be used to detect aircraft in low visibility conditions
The Role Of Flight Test Data Analysis In Development Flight Testing
Get PDFFlight test purposes is to evaluate aircraft design and performance. Nature of flight test are hazardous and expensive so that it have to be planned well to ensure safety and effectiveness of the mission. Any data obtained from flight test must be utilized to get comprehensive evaluation of the aircraft characteristic. Flight test data play central role in aircraft development. As part of flight test team and flight test program, data analysis support aircraft designer to evaluate flight test data, data reduction, and determine the quality of flight test data. This paper described flight test data processing and flight test data analysis role duringflight test program from industry perspective. Flight test activity or flight test program start with the purpose whether for experimental, development and certification or production. Flight test program activity can be divided 3 phase: flight planning and preparation, flight test execution and flight test reporting. During flight test execution and flight test reporting, test data have to be process, distribute, and use properly. Data from aircraft and flight instrumentation wereprocess from raw data format to engineering unit. Data noise and error during flight test influenced by atmosphere condition, instrumentation, experience etc. Using several method in data reduction process, this error could be minimized as possible. Technology information make data processing and analysis process faster and more efficient. Some example in this paper came from industrial perspective during development new type design aircraft in IndonesianAerospace. Case example from this paper based on experiences during development and certification N219. For other aircraft case it may be more complicated or simple. Development of technology such as computation, electronic, and communication bring new method in data analysis. As digital technology increase amount of data and sensor capability to produce highresolution data make big data analytic should be considered as solution to improving data analytic capability in flight testing.
A feature extraction method for star identification algorithm based on convolutional neural network
Get PDFThe need to determine the orientation while in "Lost-In-Space (LIS)" is essential for spacecraft navigation. Star pattern recognition, also known as the star identification algorithm, plays a vital role for a spacecraft in LIS mode. Data-driven solutions for this type of problem are becoming more captivating due to their stochastic nature. This paper presents an efficient feature extraction method for the LIS star identification algorithm using a convolutional neural network. The net pattern and the multi-triangles feature extraction methods are implemented on the model. The proposed idea is tested on several simulated star images having a field of view of 25 by 16 degrees. The obtained results show an improvement in the successful identification rate of star image classes. Furthermore, the algorithm shows promising running time and requires less onboard memory since it eliminates storing a star catalogue for the matching process
Evaluation Of Swelling – Shrinkage Of Soil Stabilized With Cement and Matos Soil Stabilizer
Get PDFThis study aims to investigate the effect of matos soil stabilizer on soil stabilized with cement. The study utilizes 5% Portland Composite Cement (PCC) ratio by weight of dry soil and matos soil stabilizer at 0%, 1%, 2%, 4%, and 8% by weight of Portland Composite Cement, with curing periods of 0 days, 7 days, and 14 days, focusing on the swelling and shrinkage characteristics. The best result showed in a mixture with a variation of 8% matos soil stabilizer under 14 days curing with a plasticity index 12,227% Swelling (CBR Soaked) 1,423, Swelling Pressure 1,469 kg/cm2 and free swelling index 16,667%. The test results indicate that the mixtures with varying amounts of matos soil stabilizer in the cement-treated soil with different curing periods can reduce soil swelling, as observed from the values of plasticity index, Swelling (soaked CBR (California Bearing Ratio)), swelling pressure, and free swelling index, which decrease progressively. Therefore, it can be concluded that increasing the amount of matos soil stabilizer and prolonging the curing time can reduce the swelling and shrinkage characteristics of the soil
Simulation of the impact of Covid-19 outbreak for airport terminal operations at Sam Ratulangi International Airport
Get PDFIndonesian airport regulators have taken steps to keep their airports operational during the Covid-19 pandemic. Measures such as implementing physical distance, checking body temperature and checking health documents have affected the efficiency of the airport terminal. Covid-19 Crisis Management has made major operational adjustments. This action has been effectively carried out in situations where passenger transport has been limited due to regulatory agency flight restrictions. However, it is still unclear what the output will be when the demand normalizes. The purpose of this paper is to compare terminal operations before and after the occurrence of Covid-19. This paper evaluates the impact of Covid-19 measures on airport terminal performance using simulation tests of CAST 8 terminal simulation software. The model represents Sam Ratulangi International Airport (IATA: MDC) in Manado, Indonesia. This model covers the departure and the arrival areas. The flight schedule of the selected date taken from the flight radar website generates the passengers, the farewellers, and the meeters. IATA ADRM 11th Edition is the guidelines to determine the level of service. Adjustments for Covid-19 scenarios include number of passengers, physical distance, processing flow, and waiting time. The results show that the waiting time of each process has increased latency and at some point the latency exceeds the optimum service level. The simulation results allow local airport authorities to maintain a specified level of service at MDC airport
Preliminary Design of a 6-Seater Electric Aircraft
Get PDFDemands for delivering a more sustainable and eco-friendly aircraft increase for the near future. However, the technology of current electric power for the aircraft (e.g., electric motors and batteries) is still lacking compared to matured power technology using fossil-fuel. A preliminary design of electric aircraft becomes initial important steps to obtain matured fully electric aircraft. This design step requires various analytical and software-based analyses to fullfill the design requirements and objectives. The design requirement of designing electric aircraft is aircraft with maximum take of weight of 5000 equipped with 6-seater. From the design results show that the designed aircraft fulfills all the requirements and most of the objectives. The design itself still need furtherdevelopment through optimization, re-evaluation, future studies, and upcoming technologies.Keywords: Aircraft Design; Electric Aircraft; Sustainabilit
The Effect of Squeeze Casting Process on Mechanical and Micro-structural Properties of Magnesium AZ31
No full textThe amount of damage that occurs in various cases of fractures in the bone, both accidents and other events is increasing, it is necessary to have materials which are natural or artificial that can interact with the body system with the aim of repairing, restoring and replacing damaged tissue or as a network connector. body. The use of magnesium as a biodegradable stent material is also based on a fixed tissue structure which is an important element in the body's organs, magnesium is also considered a non-carcinogenic element. The results of the implantation of the stent material that the mechanical properties of the material can survive during the implantation process without showing failure. The parameters used in this research, The sample used is a material that has been squeezed through the squeeze casting process with each pressure variation of 250 MPa, 350 MPa, 500 MPa and 550 MPa at a temperature of 4000C for a pressing time of 1 minute, with a holding time of 5 minutes and argon gas pressure of 1 bar. . In this study it can be concluded that the variation of pressure greatly affects the results of the level of hardness. In this test, it can be seen that the higher the pressure, the greater the hardness value. The highest value is found at a pressure of 550 MPa at 51 HRV, and the highest maximum stress value is 128.26 MPa, this value is close to the tensile strength of the mechanical properties of the cortical and concelues bone. with a holding time of 5 minutes and argon gas pressure of 1 bar. In this study it can be concluded that the variation of pressure greatly affects the results of the level of hardness. In this test, it can be seen that the higher the pressure, the greater the hardness value. The highest value is found at a pressure of 550 MPa at 51 HRV, and the highest maximum stress value is 128.26 MPa, this value is close to the tensile strength of the mechanical properties of the cortical and concelues bone. with a holding time of 5 minutes and argon gas pressure of 1 bar. In this study it can be concluded that the variation of pressure greatly affects the results of the level of hardness. In this test, it can be seen that the higher the pressure, the greater the hardness value. The highest value is found at a pressure of 550 MPa at 51 HRV, and the highest maximum stress value is 128.26 MPa, this value is close to the tensile strength of the mechanical properties of the cortical and concelues bone
Analysis and Design of Plug Shape of an Aerospike Nozzle
Get PDFThe present work investigates the influence of gas at high temperature on the design and analysis of two-dimensional plug nozzle. The thermochemical and combustion studies of liquid launchers propellants make it possible to choose the gases to be studied. For example, four cases of bi-propellants engines have been studied. The combinations studied are: H2/O2, RP1/O2, CH4/O2 et MMH/N2O4. The selected gas are: CO2, H2O H2, N2 and CO. Once the profile is generated, an analysis of the thermodynamic-parameters evolution (such as: length, Mach number, mass, thrust coefficient) and aerodynamic performances is conducted. Some results were presented and compared with previous research using air. The comparison shows that the presence of H2O and CO2 gases considerably increases the performance of nozzles. The percentage of gases in the combustion has an influence on these increases. In order to minimize the weight of this nozzle, the truncation of Plug nozzle in order to increase their performances is studied in this research
Development of an Aerial Fire Identification System Based on Visual Artificial Intelligence
Get PDFTo reduce losses due to fire, it is necessary to extinguish and rescue immediately. However, in the dense area fire trucks were unable to reach the fire site due to narrow road access. In this case, drones that can fly by themselves to the point of fire then release fire-fighting bombs automatically can help fire disaster management. This means it needs a system where it can identify whether there is a fire. This study explores the idea of identifying fire using computer vision approach by making 8 identification models with each dataset of day, night, day, and night, thermal, day filter, night filter, day and night filter, and thermal filter, which had been tested by a set of data that corresponded to each dataset. YOLOv4 algorithm and Google Colaboratory were used, where each model took 8-10 hours to be trained. Results show that the day and night model was the most robust by having the highest average F1-score, 0.37. And will be performing the best on thermal data test with the value of F1-score is 0.6. This can be a representation for exploring new ideas on further study of how to obtain the most suitable dataset and data test
Conceptual Design of a 10-Seater Electric Aircraft
Get PDFWith the increase in population, an increase of transportation needs is inevitable, especially in air travel. There is an underlying problem in this matter that is carbon pollutions. Air travel contributes around 2% of the global emissions. This paper contains the conceptual design of 10-seater electric aircraft that can serve as a cleaner alternative for air travel. The paper will discuss about our objectives and the results of configurations, backed with calculations of proof in all aspects that is needed. In conclusions, this paper presents a conceptual design of 10-seater electric aircraft that have range more than 450 km. The aircraft being designed has a mid-wing three surface configuration with a MTOW of 7250 kg