2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)最新文献_第2页

Threat Analysis on Industrial Control System Based on Attacker's Behaviors using Honeypots 基于蜜罐攻击者行为的工业控制系统威胁分析

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993566

Arssy Hasyir Nursidiq, Charles Lim

引用次数: 4

Semi-automatic Landslide Detection Using Google Earth Engine, a Case Study in Poi Village, Central Sulawesi 使用谷歌地球引擎的半自动滑坡检测，苏拉威西岛中部Poi村的案例研究

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993507

Andy Subiyantoro, C. V. van Westen, Bastian V. Den Bout, Ragil Andika Yuniawan, A. Mulyana

{"title":"Semi-automatic Landslide Detection Using Google Earth Engine, a Case Study in Poi Village, Central Sulawesi","authors":"Andy Subiyantoro, C. V. van Westen, Bastian V. Den Bout, Ragil Andika Yuniawan, A. Mulyana","doi":"10.1109/ICARES56907.2022.9993507","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993507","url":null,"abstract":"Fast and accurate landslide detection is important for landslide early warning systems. However, data available from local authorities and news reports vary in accuracy (time and location). In this work, we present a new method for identifying landslides, based on Google Earth Engine (GEE) and time-series analysis of Sentinel-2 optical satellite images. The method uses vegetation loss as a proxy for disturbance caused by earthquake-related landslides, and applies a change detection algorithm to compute the Normalized Different Vegetation Index (NDVI) and Relative Different NDVI (rdNDVI). As a test case, we applied this approach to the area of Palu, Central Sulawesi, which was hit by a major earthquake on September 28, 2018. Using time series data from 2015 to 2020, we were able to accurately capture the massive landslide in Poi Village caused by this earthquake. Using GEE had many advantages: the process is semi-automatic, fast and versatile, and the boundaries of the landslide zones can be auto-generated. In addition, the analysis does not require expensive high-resolution data. Our results demonstrate the potential of this new method to produce landslide inventories in a fast, accurate and low-cost manner.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126499937","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}

引用次数: 1

Thermal Design and Analysis of Deployable Solar Panel Low Earth Orbit Equatorial Constellation Satellite 近地轨道赤道星座卫星可展开太阳能板热设计与分析

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993478

P. Budiantoro, Ahmad Fauzi, S. Ramayanti, Ery Fitrianingsih, E. N. Nasser, Desti Ika Suryanti, W. Slamet

{"title":"Thermal Design and Analysis of Deployable Solar Panel Low Earth Orbit Equatorial Constellation Satellite","authors":"P. Budiantoro, Ahmad Fauzi, S. Ramayanti, Ery Fitrianingsih, E. N. Nasser, Desti Ika Suryanti, W. Slamet","doi":"10.1109/ICARES56907.2022.9993478","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993478","url":null,"abstract":"Solar panels on satellites are a particularly important requirement as the main power source for the needs of satellite operations in orbit. Solar panels on satellites facing the space environment will experience temperature degradation under different conditions in their orbital trajectories. These conditions usually occur in winter with a direction perpendicular to the solstice, deployable solar panels (DSP) will experience maximum worst-case conditions and cause maximum temperature changes. Therefore, we need a DSP that can survive in extreme space environmental conditions and maintain the temperature of the solar panel at its working temperature so that there is no decrease in efficiency which can result in a decrease in the power generated. DSP consists of solar panels and deployable plates. In this paper, finite element modeling, simulation, and analysis are used to validate the DSP thermal design using the FEM NX Space System Thermal software in transient conditions.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133565512","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}

引用次数: 0

Automatic Bayesian Range Estimation for Passive Bistatic Radar using Slice Sampling via Histograms 基于直方图切片采样的被动双基地雷达贝叶斯距离自动估计

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993594

Md Shahnawaz Hussain, S. Pal

{"title":"Automatic Bayesian Range Estimation for Passive Bistatic Radar using Slice Sampling via Histograms","authors":"Md Shahnawaz Hussain, S. Pal","doi":"10.1109/ICARES56907.2022.9993594","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993594","url":null,"abstract":"Estimating the range for a Passive Bistatic Radar (PBR) is a critical problem for the signal processing research community. An efficient solution to this problem, in terms of time-complexity and estimation accuracy, has been proposed recently. This solution implemented maximum likelihood estimator (MLE), a classical technique, using the Markov chain Monte Carlo (MCMC) method to maximize the likelihood function. Specifically, the hybrid Metropolis-Hastings (MH) MCMC method was used. In our study, we adopt the Bayesian framework to solve this problem in which the parameters of interest are considered random variables instead of unknown deterministic constants as in classical approaches. The Bayesian model accounts for the inherent randomness of the PBR system. It also incorporates prior knowledge about the parameter to be estimated into the estimator. This improves the estimation accuracy. Bayesian techniques are comparatively less computationally expensive for high-dimensional and multi-modal problems like PBR. To compute the global maximum of the target probability distribution function (pdf), we have chosen three MCMC methods, namely, MH, hybrid MH, and slice sampling. Out of these three, the slice sampling technique is simpler to implement and can adapt to the characteristics of the target pdf, making it suitable for automated use and software development. It can also be concluded from our experiments that slice sampling, in conjunction with the histogram method, can be slightly faster than MH and hybrid MH sampling methods for a particular case, as shown in the comparative table in Section V of this manuscript.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132348040","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}

引用次数: 0

Evaluation of Wing Gap Variation on Box Wing UAV with Computational Fluid Dynamics 盒翼无人机翼隙变化的计算流体力学评价

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993524

Faiq Muhammad Arif, Muhammad Faza Abel Jonggara Marpaung, Matthew Hu, Dzikrian Diqnada, E. Amalia

{"title":"Evaluation of Wing Gap Variation on Box Wing UAV with Computational Fluid Dynamics","authors":"Faiq Muhammad Arif, Muhammad Faza Abel Jonggara Marpaung, Matthew Hu, Dzikrian Diqnada, E. Amalia","doi":"10.1109/ICARES56907.2022.9993524","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993524","url":null,"abstract":"Closed-loop wing design improves aerodynamic performance by suppressing vortices at the wingtips. This allows the reduction of drag and improvement in stall performance. The non-planar geometry of this configuration opens many possibilities for its development. To properly optimize this design, it is necessary to explore which parameter affects the performance of this configuration. This study investigates the effects of varying the gap between the wings in a closed-loop configuration on the aerodynamic performance of the test model. The test model was based on an existing Dara Aviation D-1 UAV wing design. A total of three variations were made from the base model, with a wing gap of 0.5, 0.75, and 1 mean aerodynamic chord. These models were analyzed using Computational Fluid Dynamics, employing the Reduced Averaged Navier Stokes method and the K-Epsilon turbulence model. The angle of attack varied from -4 to 20 degrees and the flow velocity was 25 m/s. The result of this analysis indicates that increasing the wing gap in a closed-loop wing configuration resulted in greater lift and stall resistance.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131658748","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}

引用次数: 0

Development of Low-Cost Sun Sensor for Small Satellite Based on Photodiode Sensor 基于光电二极管传感器的低成本小卫星太阳敏感器的研制

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993603

A. R. Sastaviyana, D. E. Amin, M. Mukhayadi, M. A. Saifudin

{"title":"Development of Low-Cost Sun Sensor for Small Satellite Based on Photodiode Sensor","authors":"A. R. Sastaviyana, D. E. Amin, M. Mukhayadi, M. A. Saifudin","doi":"10.1109/ICARES56907.2022.9993603","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993603","url":null,"abstract":"Sun sensor is one of the attitude determination sensors used on satellite. In the previous generation of LAPAN satellites, sun sensor was built using solar cells. For LAPAN-A4, a new idea of low-cost sun sensor using COTS photodiode is suggested. The type of photodiode proposed to be used is OSRAM BPW 21 with consideration of its maximum sensitivity wavelength and radiant sensitive area specifications. Moreover, the method used in designing this low-cost sun sensor using BPW 21 photodiode only requires inexpensive instrumentations. This method also offers simple and flexible observation steps. In this sun sensor design, BPW 21 photodiode is connected in series with a resistor. 10-bit ADC feature of Atmel ATmega128 is used to convert the photodiode voltage into DN value. The value of the resistor used can affect the result of the DN value, so determining the right resistor value is important. Several observation steps were performed to ensure that the photodiode is sufficient for use in space and to determine the right resistor value that has to be used to avoid saturation condition when BPW 21 photodiode faces the sun directly in space. The results of the observation steps show that BPW 21 photodiode is sufficient for use in space and the configuration of BPW 21 photodiode in series with a 1.8 kΩ resistor is the best to avoid such saturation state. The use of this resistor value also allows the sun sensor to optimally respond to a wide range of angles of incidence of sunlight.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131724061","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}

引用次数: 0

Effect of Magnetorquer Activity on the Measurement of Earth's Magnetic Field in LAPAN-A3 Satellite 磁振子活动对LAPAN-A3卫星地球磁场测量的影响

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993525

Suraduita Mupasanta, Hidayah, Mukhamad Fajar Amiludin, Abdul Karim, Maria Syenni Kabes, S. Utama

{"title":"Effect of Magnetorquer Activity on the Measurement of Earth's Magnetic Field in LAPAN-A3 Satellite","authors":"Suraduita Mupasanta, Hidayah, Mukhamad Fajar Amiludin, Abdul Karim, Maria Syenni Kabes, S. Utama","doi":"10.1109/ICARES56907.2022.9993525","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993525","url":null,"abstract":"In 2021, Indonesia's National Institute of Aeronautics and Space (LAPAN) become part of the National Research and Innovation Agency (BRIN), LAPAN develops and operates three earth observation satellites to improve the country's monitoring. LAPAN-A3, the third satellite developed by LAPAN, had a scientific mission to measure the earth's magnetic field by using a magnetometer sensor. However, the magnetometer onboard satellite not only measures the strength and direction of the earth's magnetic field but also a disturbance field induced by spacecraft electronics. Moreover, to avoid severely disrupted missions causing attitude error, the satellite depends on its subsystem to maintain its accuracy by using magnetorquer for correction. To exclude the disturbance of the magnetic field produced by the electronics, two magnetometers are operated. However, the LAPAN-A3 satellite only utilizes one magnetometer, hence it has a different approach. In consequence, the effect of magnetorquer activity on the measurement of the earth's magnetic field in the LAPAN-A3 Satellite has to be analyzed. In this research, a pseudo-inverse method is used to fix the difference in magnetometer data due to the changing of current in the magnetorquer on the LAPAN-A3 satellite. The method's result is a matrix function with its residual in each 3 magnetometer's axis. A change of 1 rnA in the X magnetorquer will give -43.2803 nT in the X direction, -45.9198 nT in the Z direction, and -0.8086 nT in the Y direction. It can be seen that by using pseudo-inverse, the magnetometer measurement can be corrected.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134477641","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}

引用次数: 0

Semi-empirical Thermal Modelling of LAPAN-A3 Satellite Using Machine Learning Method 基于机器学习方法的LAPAN-A3卫星半经验热模拟

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9992303

Ricky Sutardi, R. E. Poetro, L. Fathurrohim, R. H. Triharjanto, Desti Ika Suryanti

{"title":"Semi-empirical Thermal Modelling of LAPAN-A3 Satellite Using Machine Learning Method","authors":"Ricky Sutardi, R. E. Poetro, L. Fathurrohim, R. H. Triharjanto, Desti Ika Suryanti","doi":"10.1109/ICARES56907.2022.9992303","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9992303","url":null,"abstract":"Understanding LAPAN-A3 thermal characteristics is the key to improve the next generation Indonesian micro-satellite thermal design. LAPAN-A1 until LAPAN-A3 use passive thermal control system by means of heat distribution by their structure, and heat radiation coating. Data-driven approaches in satellite thermal analysis are not rare phenomenon and are increasingly used to reduce the complexity in first principle thermal modelling that require high accuracy in the satellite component's thermal properties. This paper presents a simple semi-empirical thermal model to predict satellite temperature using machine learning method trained on real satellite telemetry data. The model can deduce the variables needed to predict satellite temperature changes. The proposed algorithm is implemented with a 7-node model of LAPAN-A3 (6 nodes for each side and 1 node for middle plate) and trained with data from 19 to 20 May 2018 to create satellite node temperature predictions. From initial performance evaluation, the model shows promising results and has potential for real-life usage in future satellite developments.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"1999 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128260220","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}

引用次数: 0

Online Tuning of Pre-trained Deep Neural Network for Guidance Against Non-cooperative Pursuer 基于预训练深度神经网络的非合作跟踪制导在线调谐

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993597

Runle Du, Yi Shu, Jiaqi Liu, Yang Chen

{"title":"Online Tuning of Pre-trained Deep Neural Network for Guidance Against Non-cooperative Pursuer","authors":"Runle Du, Yi Shu, Jiaqi Liu, Yang Chen","doi":"10.1109/ICARES56907.2022.9993597","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993597","url":null,"abstract":"In the astronautics, it is widely acknowledged as a hard problem that using neural network to handle the intelligent observation and guidance when dealing with non-cooperative pursuing vehicles. Due to the difficulty of obtaining training data set from non-cooperative vehicles, the inconsistency between training data and utilization data, application of neural network controller is by far very limited. In order to tackle this problem, an online tuning scheme of neural network is proposed in this paper aiming to boost the observation and counter action abilities against non-cooperative pursuer. In the proposed methodology, the deep neural network controller is pre-trained through dataset from generative network before deployment, and fine-tuned online through real time observations data set. In this way, the calculation pressure is alleviated for onboard computer and the contribution of real time observation data set is utilized more correctly, thus guaranteeing the efficiency and effectiveness of online tuning. Simulation results suggested that, both in the observation ability and counteractive guidance to avoid the pursuer, the proposed method all trumped traditional networks without online tuning, which resulting a higher chance to survive the pursuit.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134015418","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}

引用次数: 0

Investigating Transpressional Structure Zone in Northern Wadaslintang Reservoir: from Photogrammetry & Remote Sensing to Geo-Model 从摄影测量、遥感到地学模型研究瓦达斯林塘北部坳陷构造带

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993586

A. Farisan, Puguh Dwi Raharjo, E. Puswanto, Muhammad Gazali Rachman, Nanda Ajeng Nurwantari, Agus Men Riyanto, Dimas Aryo Wibowo

引用次数: 0