2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)最新文献_第5页

Combination of EBG and DGS to Improve MIMO Antenna Isolation 结合EBG和DGS提高MIMO天线隔离

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993490

E. Sandi, Aodah Diamah, Rizki Annisa Permata Putri

引用次数: 2

Preliminary Design Electronic Power System (EPS) Low Earth Orbit (LEO) Communication Microsatellite 电子动力系统(EPS)低地球轨道通信微卫星初步设计

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993491

Desti Ika Suryanti, D. Anggraeni, Ery Fitrianingsih, E. N. Nasser

{"title":"Preliminary Design Electronic Power System (EPS) Low Earth Orbit (LEO) Communication Microsatellite","authors":"Desti Ika Suryanti, D. Anggraeni, Ery Fitrianingsih, E. N. Nasser","doi":"10.1109/ICARES56907.2022.9993491","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993491","url":null,"abstract":"The development of satellite technology provides great benefits in various fields, one of which is eliminating the distance limit in communication between human beings inside the hemisphere. Satellite technology's role is not simple in the telecommunications sector, in almost all fields such as the defense, marine, plantation, and agriculture sectors. Electronic Power System (EPS) is a crucial part of a satellite system that can generate, store and distribute power to all satellite electronic devices. If the EPS fails, the power supply to all electronic devices in the satellite device may be disrupted and result in a loss of mission. This paper describes the preliminary design of EPS for LEO micro-communication satellites based on basic satellite-level parameters such as orbital altitude, orbital slope, mission operation, and mission duration. The results of this study are an EPS for satellites with 28 V bus voltage, which distributes current and voltage on each channel used at 3.3 V, 5 V, and 12 V and can control the current and voltage when overloaded. This EPS also provides a minimum of 4 Automatic Fuses (AF), a minimum of 13 Fuses (FS), and a minimum of 25 switches (S) to control each device in the satellite system.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"12 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":"125142892","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

Active Fault Mapping Reveals Four Major Fault Zones Interact and Cause Compartmentalization of Eocene Reservoirs in Eastern Borneo 活动断层填图揭示婆罗洲东部始新统四大断裂带相互作用及成因

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993542

Muhammad Gazali Rachman, Afroz Ahmad Shah

{"title":"Active Fault Mapping Reveals Four Major Fault Zones Interact and Cause Compartmentalization of Eocene Reservoirs in Eastern Borneo","authors":"Muhammad Gazali Rachman, Afroz Ahmad Shah","doi":"10.1109/ICARES56907.2022.9993542","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993542","url":null,"abstract":"Tarakan Basin, located in North-East Borneo, is the largest proven hydrocarbon field in contract with the neighbouring Berau Sub-Basin. The geology of the two basins is similar; however, the lack of hydrocarbons in one poses questions about the role of geological structures in trapping hydrocarbons. Therefore, we have used 8m spatial resolution imagery of the Digital Elevation Model Nasional (DEMNAS) dataset to map the geological structures, including faults, folds, and primary sedimentary structures such as the trace of bedding planes. The mapping was done in ArcGIS Pro, a competent mapping and information managing tool. Faults are identified by mapping geomorphic features such as triangular facets, ridge axis, alluvial fans, deflected streams, etc. The bedding planes are mapped using the Rule of Vs, and the traces of fold axes are inferred from the bedding orientations. The relative age relationship is used to differentiate active from inactive structures, including mapping faulted Quaternary landforms such as fans, river terraces, volcanic landforms, etc. The mapped geological structures are overlaid on the existing geological maps to map the faulted reservoir rocks. The results show a dominance of NW-SE trending reverse faults bordering the north plunging anticlines. The faults are active, as suggested by the young, faulted topography and back-tilted Quaternary fans. A prominent ~E-W trending reverse fault has pierced the earlier NW-SE trending structures, indicating a young faulting phase. The faults interact, drill through the Eocene to Quaternary stratigraphy, and form reservoir compartments.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"58 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":"117290764","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

Acceptance of Information on the Distribution of Smoke and Locations of Fire (HotSpot) Resulted from Remote Sensing Data 接受遥感数据产生的烟雾分布和火灾(热点)位置信息

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993509

Budhi Riyanto, Chusnul Tri Judianto, I. G. Prihanto, P. Sofan, M. Priyatna, Hendy Gunawan, Wiji Prasetio, Adis Jayati

引用次数: 0

Link and Doppler Analysis for LEO Constellation Space-Based IoT LEO星座天基物联网链路与多普勒分析

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993541

Nurul Fadilah, Maulana Ali Arifin, Aulia Haque Qonita, Nayla Najati, Bina Pratomo, Dwiyanto, E. N. Nasser

引用次数: 1

Analysis of Drought at Terai Regions in Uttarakhand using Multiple Remotely Sensed Data 基于多遥感数据的北阿坎德邦Terai地区干旱分析

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993609

Aland Edbert Manurung, H. Balzter, F. Espírito-Santo

{"title":"Analysis of Drought at Terai Regions in Uttarakhand using Multiple Remotely Sensed Data","authors":"Aland Edbert Manurung, H. Balzter, F. Espírito-Santo","doi":"10.1109/ICARES56907.2022.9993609","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993609","url":null,"abstract":"With developments in remotely sensed imageries, nowadays satellite images provide more narrow wavelength bands in higher resolution and frequent revisit time such as Sentinel-2. Sentinel-2 can be used to generate Normalized Difference Water Index (NDWI) which explains the water or moisture content of the object of interest. In this study, ERA5-Land total precipitation data and Sentinel-1 SAR C-band were also used to assess drought that happened in Terai Region around Uttarakhand in 2021. Study area is divided into three study sites: Lower Terai, Reservoir, and Hilly Area to accommodate three different landscape condition. The results show that NDWI values fluctuates between 0.25 to -0.05 around croplands but not in the densely vegetated area. Also, the changes in NDWI values around Lower Terai follow the trend in the Hilly Area but not the Reservoir. The results from three remotely sensed data also show that the minimum NDWI value was captured around November to December 2021 in Lower Terai and Hilly Area, while in Reservoir area it was in September. Overall, the three datasets had shown the ability to detect changes in moisture and water in Terai region, Uttarakhand.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"10 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":"134390623","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

Design and Evaluation of an Electronic Eye for Fire Detection in Human Space Capsule 载人太空舱火灾探测电子眼的设计与评价

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993503

B. Monish Moger, H. Abhishek, B. Pranav, Pubali Roy, P. Bharadwaj, Akash Gupta, Payal Sharma, J. Manikandan

{"title":"Design and Evaluation of an Electronic Eye for Fire Detection in Human Space Capsule","authors":"B. Monish Moger, H. Abhishek, B. Pranav, Pubali Roy, P. Bharadwaj, Akash Gupta, Payal Sharma, J. Manikandan","doi":"10.1109/ICARES56907.2022.9993503","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993503","url":null,"abstract":"Fire is often considered as a good friend, as it helps human in several ways, but the same is also considered as a dangerous foe, once it gets out of control. Fire can burn almost anything in no time and also depletes oxygen from the surrounding atmosphere, thus leading to casualties due to lack of oxygen, smoke and suffocation. Hence there is an urge to design early fire detection systems that can sense the initiation of fire and in turn activate the extinguishers to extinguish the fire, reducing the loss of property and life. In this paper an attempt is made to design and evaluate Electronic eye (E-Eye) for early fire detection in a human space capsule. Two variants of E-eye are proposed and their performances are compared. An attempt is also made to employ the concepts of machine learning using Generative Adversarial Network (GAN) models for fire detection. Maximum recognition accuracy of 100% with a prediction time of around 80ms was achieved using the proposed model. The proposed work is an outcome of a funded project from Indian Space Research Organization. The proposed prototypes can be easily employed in other places too such as houses, offices, storeroom, garage, etc.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"18 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":"128143846","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

Study and Evaluation of Machine Learning algorithms for Aerospace applications 航空航天应用中机器学习算法的研究与评价

2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2022-11-24 DOI: 10.1109/ICARES56907.2022.9993608

Isha Jain, M. J

{"title":"Study and Evaluation of Machine Learning algorithms for Aerospace applications","authors":"Isha Jain, M. J","doi":"10.1109/ICARES56907.2022.9993608","DOIUrl":"https://doi.org/10.1109/ICARES56907.2022.9993608","url":null,"abstract":"Machine learning algorithms are being explored and employed for various applications and have become the most sought topic of research in the modern era. It is a well known and accepted fact that a single machine learning algorithm cannot perform well for different applications. In this paper, effort is made to explore, design and evaluate eleven machine learning algorithms for four aerospace applications: O-ring failure prediction (classification and regression), Airfoil self noise prediction test (regression), Dynamics test (regression) and steel plate fault detection (classification). The performances of all the eleven algorithms were compared using the metric classification accuracy for classifiers and R2, RMSE metric for regressors. The algorithms were ranked based on their performance for all the above mentioned applications and the performance of proposed models are also compared with the results reported in the literature to conclude that the performance of proposed models are on par with the results reported in the literature. The proposed work can be easily extended to other Aerospace applications too.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"50 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":"129270237","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