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All Journal International Journal of Aviation Science and Engineering Journal of Innovation and Technology
Djuansjah, Joy R P
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Clustering and BiLSTM Network for Aircraft Trajectory Prediction Model Sembiring, Javen; Fauzan, M Ariq; Ummah, Khairul; Hamdani, Fadil; Djuansjah, Joy R P
International Journal of Aviation Science and Engineering - AVIA Vol. 5 No. 2: (December,2023)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v5i2.89

Abstract

The increasing demand for air travel requires the development of more accurate aircraft trajectory prediction methods to optimize airspace utilization and enhance safety. This paper presents a hybrid approach for single-flight-route trajectory prediction that employs the K-means clustering and Bidirectional Long Short-Term Memory (BiLSTM) networks. The primary objective is to develop a deep learning model that effectively predicts aircraft trajectories. Additionally, this research investigates the influence of trajectory clustering on prediction accuracy. To fulfill the objectives, a four-step methodology: data preprocessing, model construction, validation testing, and analysis is employed. Real-world historical flight data is used to train the BiLSTM model after being clustered with K-means. The model's performance is evaluated using randomized enroute flight data and various metrics like mean squared error and root mean squared error. This research is successful in accurately predicting the flight and the clustering process was proven to increase prediction accuracy by 15 percent in latitude, and 10 percent in longitude.
Effect of Sintering Temperature on The Adhesion Quality of Hydroxyapatite on Porous Tantalum for Cancellous Bone Implant Application Rahman, Nur Syazwani Binti Ab; Sukmana, Irza; Djuansjah, Joy R P; Tarkono; Sugiri, Agus; Saputra, Rizal Adi
Jurnal Inovasi Teknologi Vol 5 No 2 (2024): October
Publisher : Engineering Forum of Western Indonesian Government Universities Board (Forum Teknik, BKS-PTN Wilayah Barat) Indonesia

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Abstract

Porous tantalum has been recently recognized as a conventional orthopedic implant for bone substitute applications besides stainless steel, cobalt-chromium, titanium, and other metallic alloys. Porous tantalum has excellent mechanical and osseointegration properties similar to cancellous bone structure. To optimize the utilization, the dip coating technique was applied to coat porous tantalum with hydroxyapatite (HA). X-ray diffraction (XRD) and scanning electron microscopy (SEM) techniques investigate the coating characterization. HA is a bioceramic material that used for bone substitutes due to its chemical and structural similarity to bone minerals. Coated porous tantalum requires the sintering process of porous tantalum to adhere to HA. During the sintering process, various temperatures (650°C, 750°C, 850°C, 950°C, and 1100°C) were used to determine the optimum temperature for porous tantalum coated with HA. The heating rate is 1°C/1 min and the holding time is 60 minutes. The result shows that the optimum temperature of HA-coated porous tantalum is at 850°C. The morphology structure of the HA-coated porous tantalum shows that the adhesion between porous tantalum and HA is in good condition. The element in the HA-coated porous tantalum shows that the existence of HA is high. 
Co-Authors Agus Sugiri, Agus Fauzan, M Ariq Hamdani, Fadil Irza Sukmana, Irza Khairul Ummah Rahman, Nur Syazwani Binti Ab Rizal Adi Saputra Sembiring, Javen Tarkono