scholarly journals BASIC LIFETIME MODEL FOR REENTRY TIME PREDICTION OF ARTIFICIAL SPACE OBJECTS

2018 ◽  
Vol 15 (2) ◽  
pp. 107
Author(s):  
Abdul Rachman ◽  
Rhorom Priyatikanto

The identification of space debris and the prediction of its orbital lifetime are two important things in the initial mitigation processes of threat from falling debris. As a part of the development of related decision support system, this study focuses on developing a basic lifetime model of artificial space object based on a well-known theory and prediction scheme in the field of satellite reentry research. Current implemented model has not accounted atmospheric oblateness or other correcting factors, but it has a reasonably good performance in predicting reentry time of several objects with various initial eccentricities. Among 30 predictions conducted to 10 objects that reentered the atmosphere from 1970 to 2012, there are 13 calculations that yield prediction time with accuracy of < 30% relative to the actual reentry time. In addition, 11 calculations yields prediction time which were more accurate compared to the outputs from SatEvo software that is currently used in the decision support system on the falling debris operated by Space Science Center LAPAN. These results were considered satisfying and can be developed further by adopting the updated atmospheric model and by calculating other relevant correcting factors.

2013 ◽  
Vol 655-657 ◽  
pp. 2375-2380
Author(s):  
Ying Gui Zhang ◽  
Ding You Lei

Development of track utilization decision support system (TUDSS) is one of the most important component parts for realizing decentralized and self-regulated control in railway passenger stations. The system can provide technical and decision supports for dispatchers to solving track utilization problems (TUP), and its development thus needs many key technologies. Furthermore, we analyze and further put forward real-time dynamic adjustment technology, object-based graphical block technology, cross time span consistency processing technology, carrying capacity of station throat calculating principle and also other key technologies to help to develop the system and realize its functions. Moreover, its trial test results show that the system can make and adjust track utilization plans effectively and fast, and meet the diversified practical needs for TUP in passenger stations.


2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.


2014 ◽  
Author(s):  
Kamaruzaman S. ◽  
◽  
A. H. Omar ◽  
Muhammad Iqbal Tariq Idris ◽  
Izwyn Z. ◽  
...  

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