M. Sadly, Agustan, S. Yulianto, O. B. Bintoro, Dewayany Sutrisno, F. Alhasanah
{"title":"An Application of SMART Method in vendor selection of Satellite Systems Case study of Indonesia Remote Sensing Satellite Systems (InaRSSat)","authors":"M. Sadly, Agustan, S. Yulianto, O. B. Bintoro, Dewayany Sutrisno, F. Alhasanah","doi":"10.1109/ICARES.2018.8547075","DOIUrl":"https://doi.org/10.1109/ICARES.2018.8547075","url":null,"abstract":"Indonesia is an Archipelagic State (maritime continent) with a strategic position and high potential in natural resources. Satellite technology is expected to provide answers in managing spatial-based natural resources. This paper presents a Simple Multi Attribute Rating Technique (SMART) method for organizing and evaluating activities of a big and complex problem solution. To illustrate this method, a case study that deal with vendor selection of satellite systems will be discussed in this paper. The activity is integrated in a decision support system (DSS) which is using of the SMART method to determine vendor rankings and an efficient frontier. SMART method is used in this group decision making process because it can divide complex problems into sets of uncomplicated analysis and therefore able to directly influence the understanding of stakeholders on the process used in finding solutions. This group decision making process involves many stakeholders. Satellite system vendor selection is an important issue as the satellite system is a long-term investment commitment for the government. And also the success of satellite application services can be influenced by the vendor selection result. Moreover, the vendor selection of a satellite system is involving multiple stakeholder with multiple criteria decision-making issue. A systematic approach to assess priorities based on the inputs of several stakeholders can improve the group decision-making process. The paper will illustrate that several decision-makers with different conflicting objectives can use the SMART method to arrive at a consensus. This case study indicates that SMART method can be used to improve group decision making in vendor selection that meets stakeholder criteria. This paper found that the proposed SMART model can reduce the time required for vendor selection and the decision-making process become more systematic. A procedure for selecting the number of providers shall be made in a process which presents as an efficient frontier analysis. Finally, results of criteria and cost benefit analysis design scenarios of satellite industry using SMART method are discussed and we will make some conclusions.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127623181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extending Range and Minimizing Turn Radius for a Missile Rocket","authors":"Larasmoyo Nugroho","doi":"10.1109/ICARES.2018.8547108","DOIUrl":"https://doi.org/10.1109/ICARES.2018.8547108","url":null,"abstract":"This paper studied ways to improve flight performance of controlled rocket i.e. missile by exploiting correlations between static margin, directional stability and bank-to-turn steering strategy. The flight performance involved are extending range and minimizing turn radius. Eventhough this research found that controlled rocket could significantly boost its longitudinal-mode range, nevertheless this research emphasized on the directional-mode motion of rocket trajectory. Minimum turn radius was used as parameter to check the quality of flight performance of the missile. It is found that minimum turn radius could be reached from a specifically narrow spectrum of static margin, and correlatively this spectrum would provide maximum range in longitudinal axis. Careful picking position of center gravity is a paramount instrument to produce successful missile design aerodynamically and in terms of controllability.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125020618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RANS Predictions of Junction Flow with Localized Suction","authors":"Shakeel Ahmed, A. Malik, K. Parvez","doi":"10.1109/ICARES.2018.8547058","DOIUrl":"https://doi.org/10.1109/ICARES.2018.8547058","url":null,"abstract":"Horseshoe vortex is a prominent feature in junction flows which not only changes the local flow patterns but is also responsible for aerodynamic loses in the region. In the past many investigations using wind tunnels and CFD have been made to study the junction flow. These studies have shown that RANS prediction of the junction flow demonstrate an acceptable qualitative match with the experimental results. The present study extends the CFD investigations to RANS predictions of the junction flow with boundary layer control using localized suction. Localized suction is an active technique that has proved successful, in the past through wind tunnel measurements, in elimination of the junction horseshoe vortex. The present investigations used these experimental results to evaluate the RANS predictions from the current study. During the course of this study, six cases of junction flows with and without localized suction were numerically simulated and compared with the wind tunnel measurements. For no suction case CFD and experiment have been found in good agreement with similar patterns observed for the vortex core in the symmetry plane. When suction was applied, a similar reduction in the vortex core was predicted by CFD as observed in the wind tunnel. It was concluded that RANS have made fairly accurate predictions in almost all the cases in comparison with the experimental data.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131780961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Power Analysis of Optimal Earth Observation Micro-Satellite Design Under Different Control Parameter","authors":"M. S. N. Ubay, A. Halim","doi":"10.1109/ICARES.2018.8547065","DOIUrl":"https://doi.org/10.1109/ICARES.2018.8547065","url":null,"abstract":"The main task of an earth observation satellite is to deliver accurate and valid earth surface information to the ground station. In order to perform this task, the satellite is equipped with an attitude control system. The control system establishes closed-loop with attitude sensors, especially in the imaging operation. However, the limitation of satellite power supply capacity causes the restriction of attitude control operation, which in turn, limits the satellite imaging capacity. The aim of this paper is to analyze the power performance of optimal satellite design by observing the effects of a Proportional Integral Differential (PID) parameter changes to satellite power consumption. In this paper, firstly optimal satellite parameters are chosen. The parameter choice is based on a quadratic objective function that representing power consumption. In the sequence, the PID attitude control system is designed for the satellite. Through simulation, the effects of various PID parameters have been studied.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121125375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on Impact of Outdated Two-Line Element Sets in Tracking of LAPAN-A2 and LAPAN-A3 Satellites","authors":"M. Nugroho, Nova Maras Nurul Khamsah","doi":"10.1109/ICARES.2018.8547116","DOIUrl":"https://doi.org/10.1109/ICARES.2018.8547116","url":null,"abstract":"satellite tracking, information about orbital elements of the satellite which is contained in North American Aerospace Defense Command Two-Line Element Sets (NORAD TLE) is needed. This paper shows a study of how updating Two-Line Element Sets affecting the position prediction of LAPAN-A2 and LAPAN-A3 satellites. The positions of the satellites observed are determined by their latitude, longitude, and altitude. The results of orbit simulation, and position error calculation demonstrate that in the case of 1-day and 1-week Two-Line Element, compared to the updated Two-Line Element Sets, shows insignificant errors of the satellites position. Nonetheless, for more than 1-week outdated Two-Line Element Sets yields a very high error in predicting the position of the satellites and could affect the satellite tracking results. Furthermore, the mission simulation of LAPAN-A2 satellites illustrates the difference result of the imaging mission of the satellite with roll angle 4.21° between the updated and the outdated Two-Line Element Sets scenario, which makes it convincing that updating Two-Line Element Sets in satellite tracking tools is very important in satellite tracking.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"55 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120900559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Koneru, M. Arul Raj, M. Padmaja, Praveen Kumar Kollu, Lokesh Bokinala, A. Ravi Raja, A. Jitendra
{"title":"Detection and Enumeration of Trees using Cartosat2 High Resolution Satellite Imagery","authors":"S. Koneru, M. Arul Raj, M. Padmaja, Praveen Kumar Kollu, Lokesh Bokinala, A. Ravi Raja, A. Jitendra","doi":"10.1109/ICARES.2018.8547072","DOIUrl":"https://doi.org/10.1109/ICARES.2018.8547072","url":null,"abstract":"Remote sensing plays a key role to monitor the earth resources. Remote sensing uses High Resolution Satellites to capture and observe the various conditions of the earth like Land cover and Land use which provides the information regarding how much of land is covered by forest, wetland, water body and how much of land is used by people for rural development, urbanization and agricultural in digital images. Digital Image Processing is useful in decrypt satellite data which helps to know change detection and land cover classification. In this research, satellite data are used to investigate trees and identifying trees on the earth surface, where it is very difficult task to identify trees from high resolution satellite imagery. Digital Image Processing consists of various techniques like image enhancement, segmentation, feature extraction and classifying the extracted features. In this research, Cartosat2 images are used for detection and enumeration of trees. With utilization of digital image processing, the information can be known that is available in the satellite image. Image processing helps to refines the available data in the satellite images without any loss. Image segmentation is used to analyze the image in a understandable form, where it cleaves the image in the form of pixels. Basically it is used to detect and classify the shapes or object boundaries and other relevant data in the digital images. Contrast Limited Adaptive Histogram Equalization(CLAHE) is one of the effective simple techniques for enhancing image quality. Active Contour Model with masking is best suit for image Segmentation and feature Detection and Tree Enumeration.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127018621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep Belief Networks for Feature Fusion in Hyperspectral Image Classification","authors":"M. Ghassemi, H. Ghassemian, M. Imani","doi":"10.1109/ICARES.2018.8547136","DOIUrl":"https://doi.org/10.1109/ICARES.2018.8547136","url":null,"abstract":"Hyperspectral data classification is a great challenging method for remote sensing. In recent years, the researchers have had a great attention to the feature fusion of hyperspectral data. In this paper, based on distinctive advantage over machine learning, we suggest a novel technique to classification of hyperspectral images, which employs deep belief networks (DBNs) to fuse spectral and spatial features together. In the light of the above-mentioned descriptions, DBN be able to extract the hierarchical features from raw data, which are cost-effective for classification based on support vector machine (SVM). First, we verify the eligibility of DBN, and SVM-based classification and then, suggest a new framework, stacking the spectral and spatial features, fuses features by DBN, and classifies them by SVM to get most accuracy. First, we extract spatial features by applying principal component analysis (PCA) and extended morphology (EMP) and append at the end of spectral features, then fuse and classify achieved features by the suggested method. The experimental test results demonstrate the suggested method yields to most accuracies results.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114192437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agustan, M. Sadly, S. Yulianto, Dewayany Sutrisno, O. B. Bintoro, F. Alhasanah
{"title":"Participatory Scenario Planning for Indonesian Space Industry in 2025","authors":"Agustan, M. Sadly, S. Yulianto, Dewayany Sutrisno, O. B. Bintoro, F. Alhasanah","doi":"10.1109/ICARES.2018.8547123","DOIUrl":"https://doi.org/10.1109/ICARES.2018.8547123","url":null,"abstract":"As the world's largest archipelagic country with terrestrial and marine terrain, Indonesia needs a mastered space technology to be used to support national development in all areas including political, economic, defense and security. Satellite observer industry or remote sensing satellite industry is one solution to the answer. But the satellite industry is not yet developed in Indonesia. Therefore, this paper intends to examine the development of satellite observation industry in Indonesia by using \"scenario planning\" approach. The method used is descriptive qualitative analysis with stakeholder scenario planning approach. The results show that the development of the national satellite industry targeted for implementation in 2025 requires strong political support with adequate human and economic support, among others, can be achieved by the adoption of satellite programs in national development priorities and forming a cross-sectoral consortium of stakeholders interest to build Indonesian Remote Sensing Satelite (InaRSSat) at this time.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"327 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123698595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Monay, F. Olivar, M. Tupas, B. J. Magallon, R. Aranas
{"title":"Comparison of Supervised Algorithms on DIWATA-I Microsatellite Space Bourne Multispectral Imagery","authors":"K. Monay, F. Olivar, M. Tupas, B. J. Magallon, R. Aranas","doi":"10.1109/ICARES.2018.8547070","DOIUrl":"https://doi.org/10.1109/ICARES.2018.8547070","url":null,"abstract":"The Phl-Microsat program in the Philippines was initiated for capacity building and with the end goal of having a source of remotely-sensed data for local planning, disaster risk mitigation, and resource management for the country. To increase its benefits, an established process to effectively utilize these images such as image classification is needed. This study aims to determine the most appropriate supervised algorithm for image classification among a set of classifiers that will yield the best results for DIWATA-I Spaceborne Multispectral Images (SMI). SMI is an optical payload, with 80m resolution, and a multiwavelength selection at 10nm width at 1nm steps. Three study sites within the Philippines were selected to test the classifiers - Camarines Sur, Ilocos Norte, and Oriental Mindoro. Spectral reflectance values were then derived from atmospheric calibrations of the images. These images were then classified using six supervised classifiers and were post-processed using Majority Analysis. Accuracy is assessed by comparing the overall accuracy, kappa coefficient, producer’s accuracy and user’s accuracy extracted from the confusion matrix. From the results, Support Vector Machine and Maximum Likelihood classifiers produced the most desirable and most consistent results.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116173296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simu1ation Approach to Determine Position of the Fixed Installed Deployable Solar Panel","authors":"H. Septanto, Oetomo Sudjana","doi":"10.1109/ICARES.2018.8547098","DOIUrl":"https://doi.org/10.1109/ICARES.2018.8547098","url":null,"abstract":"The popularity, development and promising performance in orbit for small satellite make it’s trends of mission to be run by the satellite become more complex. Since the small satellites may brought payload with higher power requirement to run its mission. This payload may not be able supported by the power system, in which is a combination of solar panel with batteries. Small satellite also has size and mass constraints which made it won’t be able to bring active motion mechanism for the solar panel. A natural question to be answered is where the best installation position (placement) of the deployable solar panel with respect to the body satellite such that the power system can acquire maximal solar energy. This paper proposes simulation based method to determine placement (position) of the fixed installed deployable solar panel system such that maximal power can be provided. To validate this method, simulations data summary is presented in this paper where concerns in two different orbits of satellites and eleven cases that accommodates. Based in the simulation results, options for the position of the fixed installed deployable solar panel is provided.","PeriodicalId":113518,"journal":{"name":"2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116791644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}