2019 IEEE National Aerospace and Electronics Conference (NAECON)最新文献_第8页

Design and Implementation of an Unmanned Aerial and Ground Vehicle Recharging System 无人机和地面车辆充电系统的设计与实现

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI: 10.1109/NAECON46414.2019.9058225

Nansong Wu, C. Chacón, Z. Hakl, Kyle Petty, D. Smith

引用次数: 4

Conclusive analysis and cause of the flyby anomaly 飞掠异常的结论性分析和原因

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI: 10.1109/NAECON46414.2019.9057993

V. Guruprasad

引用次数: 0

Computational Thinking Curriculum for Unmanned Aerial Systems 无人机系统计算思维课程

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI: 10.1109/NAECON46414.2019.9057865

Shiqi Zhang, Christopher Stewart

{"title":"Computational Thinking Curriculum for Unmanned Aerial Systems","authors":"Shiqi Zhang, Christopher Stewart","doi":"10.1109/NAECON46414.2019.9057865","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9057865","url":null,"abstract":"Unmanned aerial systems (UAS) can explore common, vast and unsafe places at low cost. They could transform multiple sectors from photography to farming to city planning. However, the software underlying UAS is complex and requires multiple distinct programming skills, e.g., AI, machine learning and flight control. Few programmers encompass these skills, hampering software development and dampening the impact of UAS. We contend that early exposure to UAS software could help align workforce skills. However, early exposure requires curriculum that (1) captures the breadth of UAS software, (2) supports multiple levels of depth for diverse programming backgrounds and (3) fits within resource and institutional challenges. We propose a computational thinking framework. In our approach, lessons fit within 20-30 minute instructional blocks, making them usable in short workshop and extended classroom settings. UAV topics and computational thinking depth link lessons. Teachers can trade breadth for in-depth coding and vice versa. In early work, we presented an autonomous UAS to middle school students. Our 1 hour workshop focused on breadth and was received well.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126204887","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

Unique Compressive Sampling Techniques for Wideband Spectrum Sensing 宽带频谱传感的独特压缩采样技术

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI: 10.1109/NAECON46414.2019.9057897

Andrew F. Schaefer, M. Fowler

引用次数: 0

W-Band GaN IMPATT Diodes for High Power Millimeter-Wave Generation 大功率毫米波产生用w波段氮化镓输入二极管

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI: 10.1109/NAECON46414.2019.9058119

Lina Cao, Hansheng Ye, Jingshan Wang, P. Fay

引用次数: 1

Spectroscopic Sensing of Opioids in the THz Region 太赫兹区阿片样物质的光谱传感

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI: 10.1109/NAECON46414.2019.9058129

W.-D. Zhang, A. Bykhovski, L. Himed, E. Brown

引用次数: 1

Static Analysis through Topic Modeling and its Application to Malware Programs Classification 主题建模静态分析及其在恶意程序分类中的应用

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI: 10.1109/NAECON46414.2019.9057876

Ouboti Djaneye-Boundjou, Temesguen Messay-Kebede, David Kapp, Jeremiah Greer, A. Ralescu

{"title":"Static Analysis through Topic Modeling and its Application to Malware Programs Classification","authors":"Ouboti Djaneye-Boundjou, Temesguen Messay-Kebede, David Kapp, Jeremiah Greer, A. Ralescu","doi":"10.1109/NAECON46414.2019.9057876","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9057876","url":null,"abstract":"We perform static analysis of malware programs in the BIG 2015 dataset, a repository containing nine different families of malware programs. Our main goal is to provide a framework for classification of the programs in the dataset. Our analysis of the programs is static in the sense that the contents of the said programs are looked at and their representations are constructed without executing the programs. More precisely, assembly language opcodes are extracted from the programs in the dataset and concatenated in order to construct documents representing these programs. Opcodes being words, we then employ Natural Language Processing tools and techniques for analysis of the documents. Mainly, the Latent Dirichlet Allocation (LDA) algorithm is used to model documents as weighted mixtures of a fixed number of topics. A topic is a collection of words grouped together for their ability to capture meaningful attributes about the documents. We note that the weight distribution of topics within documents of the same family (visually) shows a common pattern that seemingly varies from one family to another. This, therefore, aids in justifying the use of the LDA technique as a feature extraction method, with the features here being the weights of the topics representing each and every document. Ensuing, after training a fine k-nearest neighbors classifier, which takes topic weights as inputs, testing results show a 97.2% classification accuracy, thereby attesting to the efficacy of the overall approach.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117135653","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: 3

Supervise Learning With Copulas 用copula监督学习

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI: 10.1109/NAECON46414.2019.9058051

Xiaoping Shen, R. Ewing, Jia Li

引用次数: 0

A DNN-LSTM based Target Tracking Approach using mmWave Radar and Camera Sensor Fusion 基于DNN-LSTM的毫米波雷达与相机传感器融合目标跟踪方法

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI: 10.1109/NAECON46414.2019.9058168

Arindam Sengupta, Feng Jin, Siyang Cao

引用次数: 26

GPU Accelerated Atmospheric Aberration Correction GPU加速大气像差校正

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI: 10.1109/NAECON46414.2019.9058030

Paul O. Sundlie, DeJuan Daniels, T. Sharp, Kelsea Sullivan

引用次数: 0