2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)最新文献

A Novel Complex SAR Spatial De-Speckling Filter Evaluation Based On Time-Frequency Domain Formulation Of Texture Information 一种基于纹理信息时频域公式的复杂SAR空间去斑滤波器评价方法

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) Pub Date : 2020-11-18 DOI: 10.1109/ICRAMET51080.2020.9298645

I. H. Shahrezaei, Hyun‐cheol Kim

引用次数: 0

Performance Evaluation of Vertically Stacked Nanosheet InGaAs/InAlAs/InP Double Quantum Well FinFET on Si Substrate Si衬底上垂直堆叠InGaAs/InAlAs/InP纳米片双量子阱FinFET的性能评价

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) Pub Date : 2020-11-18 DOI: 10.1109/ICRAMET51080.2020.9298683

Erry Dwi Kurniawan, Yan-Ting Du, Yung-Chun Wu

{"title":"Performance Evaluation of Vertically Stacked Nanosheet InGaAs/InAlAs/InP Double Quantum Well FinFET on Si Substrate","authors":"Erry Dwi Kurniawan, Yan-Ting Du, Yung-Chun Wu","doi":"10.1109/ICRAMET51080.2020.9298683","DOIUrl":"https://doi.org/10.1109/ICRAMET51080.2020.9298683","url":null,"abstract":"We study the performance of vertically stacked InGaAs/InAlAs/InP Double Quantum Well (DQW) Fin Field Effect Transistor (FinFET) on Si substrate using threedimensional Technology Computer-Aided Design (TCAD) simulation. In0.53Ga0.47As and In0.52Al0.48As are used as the quantum well channel and the barrier material, respectively. Both materials are lattice matched to the InP buffer layer material on Si substrate. The device is simulated with gate lengths (LG) of 15 nm and gate stack (Al2O3/HfO2) of 1nm/2nm (EOT~0.75nm). The simulation results reveal that by using double channel quantum well (super lattice structure) can enhance the saturation current up to 24% compared to Single Quantum Well (SQW) device. The maximum capacitance of the DQW also outperforms the SQW FinFET approximately 34%. The higher capacitance indicates the higher carrier density. The electron density of DQW prefers to localize in the InGaAs layer as the quantum well channel, thus allow greater control over the electron behavior. The device characteristics indicate that the DQW FinFET on Si substrate can be alternated to enhance the device performance for prospective high performance logic device applications.","PeriodicalId":228482,"journal":{"name":"2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122991301","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 of Corrugated Horn Antenna with Wire Medium Addition as Parabolic Feeder for Ku-Band Very Small Aperture Terminal (VSAT) Application ku波段甚小孔径终端(VSAT)抛物线馈线介质加波纹喇叭天线设计

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) Pub Date : 2020-11-18 DOI: 10.1109/ICRAMET51080.2020.9298660

Sahid Ridho, C. Apriono, Fitri Yuli Zulkifli, E. Tjipto Rahardjo

{"title":"Design of Corrugated Horn Antenna with Wire Medium Addition as Parabolic Feeder for Ku-Band Very Small Aperture Terminal (VSAT) Application","authors":"Sahid Ridho, C. Apriono, Fitri Yuli Zulkifli, E. Tjipto Rahardjo","doi":"10.1109/ICRAMET51080.2020.9298660","DOIUrl":"https://doi.org/10.1109/ICRAMET51080.2020.9298660","url":null,"abstract":"The development of information and communication technology is a challenge to provide good communication in archipelago countries such as Indonesia. VSAT Ku-Band is one of the technologies that have a smaller size, and affordable price compared to the C-Band VSAT with a smaller receiver power and larger capacity. Ku-Band VSAT has a weakness where it is very vulnerable to weather disturbances, especially rain and weak signals in a boundary area. Therefore, a higher antenna gain is required in this research. To achieve high gain, we propose a corrugated horn antenna with combination of a wire medium placed inside the antenna as a parabolic feeder at Ku-Band channels for VSAT application. We use CST Microwave Studio to simulate and optimize the proposed design. The proposed corrugated horn antenna shows bandwidth of 10.3 GHz to 15 GHz, gain of 18.6 dB at transmitter frequency of 14 GHz and gain of 18.5 dB at receiver frequency 12.75. Furthermore, the feeder horn antenna is combined with a parabolic reflector, this design combination has achieved working frequency 10.7-14.5 GHz with linear polarization, gain at receiver and transmitter working frequency are 38 dBi and 42 dBi, respectively.","PeriodicalId":228482,"journal":{"name":"2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124780162","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

On Using Declarative Generation Rules To Deliver Linked Biodiversity Data 使用声明性生成规则传递关联生物多样性数据

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) Pub Date : 2020-11-18 DOI: 10.1109/ICRAMET51080.2020.9298573

Zaenal Akbar, Y. Kartika, Dadan Ridwan Saleh, Hani Febri Mustika, L. Manik

{"title":"On Using Declarative Generation Rules To Deliver Linked Biodiversity Data","authors":"Zaenal Akbar, Y. Kartika, Dadan Ridwan Saleh, Hani Febri Mustika, L. Manik","doi":"10.1109/ICRAMET51080.2020.9298573","DOIUrl":"https://doi.org/10.1109/ICRAMET51080.2020.9298573","url":null,"abstract":"In the last decade, our capability to collect data has been improved significantly. A new era of big data has emerged as indicated by five characteristics of data: volume, variety, veracity, velocity, and value. The adoption of open-science approach is important in order to manage and exploit the available data appropriately. An open science approach enables curation, discovery, linking, and reusability of data across the globe. The challenge lies in the data heterogeneity, limitation of data interface, and conventional data visualization practices. In this work, we introduce a solution to overcome the challenges by using the Linked Data approach. The solution enables data to be represented in a machine-readable format and linked to or from external data sets, in a way that can be easily integrated, allow search optimization, as well as open the possibility to obtain new knowledge. Our solution consists of a schema construction to uniformly represent biodiversity data (mostly biological specimen data). After that, mapping rules were defined to align data from multiple biodiversity information systems that are available on the Web to the constructed schema. Finally, an engine will consume the mapping rules and generate linked data in a common format. Our results indicate that despite multiple data structures have been utilized by multiple systems, the mapping rules provide flexibility to accommodate every one of them. Further, we successfully demonstrated the possibility to deliver linked biodiversity data across multiple sources as our first step to harness big data biodiversity.","PeriodicalId":228482,"journal":{"name":"2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116316061","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: 5

A C-band Circular Polarized Antenna with Elliptical Shape for SAR Sensor 一种用于SAR传感器的c波段椭圆圆形极化天线

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) Pub Date : 2020-11-18 DOI: 10.1109/ICRAMET51080.2020.9298664

F. Kurniawan, Sunar, Agus Wiyono, Dewi Anggraeni, Jefri Abner Hamonangan, Y. Prabowo, I. Y. Putro, Y. Firmansyah

引用次数: 1

Theoretical Model for Continuance Usage Intention of mHealth Application 移动医疗应用持续使用意愿的理论模型

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) Pub Date : 2020-11-18 DOI: 10.1109/ICRAMET51080.2020.9298668

A. Khalil, W. Suparta, E. Abdurachman, A. Trisetyarso

引用次数: 1

mmWave Path loss Prediction Model Using Grey System Theory for Urban Areas 基于灰色系统理论的城市毫米波路径损耗预测模型

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) Pub Date : 2020-11-18 DOI: 10.1109/ICRAMET51080.2020.9298608

S. Phaiboon, P. Phokharatkul

引用次数: 1

Slot Antenna for Multi-Band Frequency Diversity 多频带分集的缝隙天线

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) Pub Date : 2020-11-18 DOI: 10.1109/ICRAMET51080.2020.9298688

Mosab M. Qwakneh, Khaled A. AlHammami, A. Omar, Yanal S. Faouri

引用次数: 6

A Broadband High Gain Microstrip Yagi Antenna Array for Mm-wave Communication Systems 用于毫米波通信系统的宽带高增益微带八木天线阵列

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) Pub Date : 2020-11-18 DOI: 10.1109/ICRAMET51080.2020.9298624

Guo Bai, Yuanzhi Liu, C. Liao

引用次数: 3

Image Classification Performance Evaluation for 3D Model Reconstruction 三维模型重建的图像分类性能评价

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) Pub Date : 2020-11-18 DOI: 10.1109/ICRAMET51080.2020.9298643

A. Yuniarti, N. Suciati, A. Arifin

{"title":"Image Classification Performance Evaluation for 3D Model Reconstruction","authors":"A. Yuniarti, N. Suciati, A. Arifin","doi":"10.1109/ICRAMET51080.2020.9298643","DOIUrl":"https://doi.org/10.1109/ICRAMET51080.2020.9298643","url":null,"abstract":"3D reconstruction of 2D images is a classical problem in computer vision. Conventional methods have been proposed using multiple image registration, intrinsic and extrinsic camera parameter estimation, and optimization methods. Recently, the availability of a 3D dataset publicly shared has encouraged a deep-learning-based method for single-view reconstruction. One approach was by employing direct image encoding to the 3D point decoding approach as in PointNet and AtlasNet. Some other research directions attempted to retrieve 3D data using deep-learning-based methods, which employed a convolutional neural network (CNN). However, the use of CNN in image classification specific for the 3D reconstruction task still needs to be investigated because, usually, CNN was used as an image encoder in an auto-encoder setting instead of a classification module in a point generation network. Moreover, there is a lack of reports on the performance evaluation of deep-learning-based method on images rendered from 3D data, such as ShapeNet rendering images. In this paper, we implemented several deep-learning models to decode the ShapeNet rendering images that contain 13 model categories to examine the various hyper-parameters' impacts on each 3D model category. Our experiments showed that the hyper-parameters of the learning rate and epochs set to either 0.001 or 0.0001 and 60-80 epochs significantly outperformed other settings. Moreover, we observed that regardless of network configuration, some categories (plane, watercraft, car) performed better throughout the study. Therefore, a 3D reconstruction based on image classification can be designed based on the best performing categories.","PeriodicalId":228482,"journal":{"name":"2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127064560","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