2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)最新文献

Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks 基于距离的三态网络工业表面异常检测

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284921

Tareq Tayeh, Sulaiman A. Aburakhia, Ryan Myers, A. Shami

{"title":"Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks","authors":"Tareq Tayeh, Sulaiman A. Aburakhia, Ryan Myers, A. Shami","doi":"10.1109/IEMCON51383.2020.9284921","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284921","url":null,"abstract":"Surface anomaly detection plays an important quality control role in many manufacturing industries to reduce scrap production. Machine-based visual inspections have been utilized in recent years to conduct this task instead of human experts. In particular, deep learning Convolutional Neural Networks (CNNs) have been at the forefront of these image processing-based solutions due to their predictive accuracy and efficiency. Training a CNN on a classification objective requires a sufficiently large amount of defective data, which is often not available. In this paper, we address that challenge by training the CNN on surface texture patches with a distance-based anomaly detection objective instead. A deep residual-based triplet network model is utilized, and defective training samples are synthesized exclusively from non-defective samples via random erasing techniques to directly learn a similarity metric between the same-class samples and out-of-class samples. Evaluation results demonstrate the approach's strength in detecting different types of anomalies, such as bent, broken, or cracked surfaces, for known surfaces that are part of the training data and unseen novel surfaces.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"40 1","pages":"0372-0377"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73046930","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: 21

Implementation and Analysis of Routing Protocols for LoRa Wireless Mesh Networks LoRa无线Mesh网络路由协议的实现与分析

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284888

Douglas de Farias Medeiros, M. Villarim, F. D. De Carvalho, C. P. de Souza

{"title":"Implementation and Analysis of Routing Protocols for LoRa Wireless Mesh Networks","authors":"Douglas de Farias Medeiros, M. Villarim, F. D. De Carvalho, C. P. de Souza","doi":"10.1109/IEMCON51383.2020.9284888","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284888","url":null,"abstract":"In a world getting more and more connections, the growth in the number of devices sharing information with each other is evident. Therefore, as the number of connected devices and their applications grows, the amount of data shared by these devices also increases considerably. Thus, in order to be able to send data from one device to another and that data passing through intermediate devices, it is necessary to define from which path the data should be sent, characterizing the routing concept. In this context, this work aims to implement and analyze routing protocols for ad hoc wireless network called DVR (Distance Vector Routing), AODV (Ad Hoc On-Demand Distance Vector) and DSR (Dynamic Source Routing) using the Cupcarbon network simulator. LoRa wireless communication technology and a network topology distributed along avenues in the city of João Pessoa, Brazil, were considered and simulated. The quantitative analysis criteria were the packet delivery rate, the average end-to-end delay and throughput. The energy consumption profiles of each network node were also obtained according to each protocol. The results showed that the DSR protocol had lower energy consumption and AODV obtained better general performance, but with higher consumption. The DVR protocol showed better results in terms of latency.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"63 1","pages":"0020-0025"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73577401","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

Using a Combination of LiDAR, RADAR, and Image Data for 3D Object Detection in Autonomous Vehicles 在自动驾驶汽车中使用激光雷达、雷达和图像数据的组合进行3D物体检测

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284930

Ramin Sahba, Amin Sahba, F. Sahba

{"title":"Using a Combination of LiDAR, RADAR, and Image Data for 3D Object Detection in Autonomous Vehicles","authors":"Ramin Sahba, Amin Sahba, F. Sahba","doi":"10.1109/IEMCON51383.2020.9284930","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284930","url":null,"abstract":"One of the topics that is highly regarded and researched in the field of artificial intelligence and machine learning is object detection. Its use is especially important in autonomous vehicles. The various methods used to detect objects are based on different types of data, including image, radar, and lidar. Using a point clouds is one of the new methods for 3D object detection proposed in some recent work. One of the recently presented efficient methods is PointPillars network. It is an encoder that can learn from data available in a point cloud and then organize it as a representation in vertical columns (pillars). This representation can be used for 3D object detection. in this work, we try to develop a high performance model for 3D object detection based on PointPillars network exploiting a combination of lidar, radar, and image data to be used for autonomous vehicles perception. We use lidar, radar, and image data in nuScenes dataset to predict 3D boxes for three classes of objects that are car, pedestrian, and bus. To measure and compare results, we use nuScenes detection score (NDS) that is a combined metric for detection task. Results show that increasing the number of lidar sweeps, and combining them with radar and image data, significantly improve the performance of the 3D object detector. We suggest a method to combine different types of input data (lidar, radar, image) using a weighting system that can be used as the input for the encoder.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"6 1","pages":"0427-0431"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74337952","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: 6

Design and Control of an Off-Grid Solar System for a Rural House in Pakistan 巴基斯坦农村住宅离网太阳能系统的设计与控制

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284867

Asif ur Rehman, M. Iqbal

引用次数: 0

External Power Gating Technique – An Inappropriate Solution for Low Power Devices 外部电源门控技术——低功率器件的不合适解决方案

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284855

Matěj Bartík

引用次数: 0

Quadcopter Control in Three-Dimensional Space Using SSVEP and Motor Imagery-Based Brain-Computer Interface 基于SSVEP和运动图像的脑机接口的四轴飞行器三维空间控制

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284924

Devaj Parikh, K. George

引用次数: 4

Drone Positioning System Based on Sound Signals Detection for Tracking and Photography 基于声信号检测的无人机定位系统跟踪与摄影

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284851

Ala Abu Hilal, Thabet M. Mismar

引用次数: 2

LDPC Codeword Size Determination Using Convolutional Neural Networks 用卷积神经网络确定LDPC码字大小

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284907

B. Comar

引用次数: 0

Using the ARAIG Haptic Suit to Assist in Navigating Firefighters Out of Hazardous Environments 使用ARAIG触觉套装帮助消防员脱离危险环境

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284922

Cassandra Frances Laffan, James Elliott Coleshill, Brodie Stanfield, Michael Stanfield, A. Ferworn

引用次数: 0

Spectral Bloom Filters for Client Side Search 光谱绽放过滤器的客户端搜索

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284946

Parth Parikh, Mrunank Mistry, Dhruvam Kothari, S. Khachane

引用次数: 0