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2021 2nd International Conference on Range Technology (ICORT)最新文献

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Blockchain Based Secure Cloud Storage System for Range Activity Data 基于区块链的靶场活动数据安全云存储系统
2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581805
Suman Mondal
{"title":"Blockchain Based Secure Cloud Storage System for Range Activity Data","authors":"Suman Mondal","doi":"10.1109/ICORT52730.2021.9581805","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581805","url":null,"abstract":"To understand the actual behavior of any ammunition in different situations, dynamic firing needs to be carried out with various instruments for capturing data. On premise storage and processing of that high volume and high veracity data are not only compute intensive and sub optimized but also vulnerable during any disaster. Cloud based storage systems [1] are widely popular for off premise data storage and processing. At the same time data confidentiality, integrity and availability are also prime concerns for range activity data, which can be addressed by using blockchain technology. Though blockchain technology has been used in many areas like healthcare, business and finance, there has not been significant work on cloud storage security based on blockchain technology. In this paper various cloud storage challenges are discussed with their blockchain based solutions. Finally a working model is discussed with all the required features for storing high volume and sensitive range activity data.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129796006","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
Optimization of Augmented Coprime Array for a Specific number of Sensors 特定数量传感器的增强型协素数阵列优化
2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9582041
Rajen Kumar Patra, A. Dhar
{"title":"Optimization of Augmented Coprime Array for a Specific number of Sensors","authors":"Rajen Kumar Patra, A. Dhar","doi":"10.1109/ICORT52730.2021.9582041","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9582041","url":null,"abstract":"In this paper, optimization is carried out for the augmented coprime array (ACA) for a specific number of sensors to achieve maximum consecutive degrees-of-freedom (DOF). We know that ACA is a very popular configuration for direction-of-arrival (DOA) estimation for its advantage of less mutual coupling. ACA consists of two subarrays where both of them share the first sensor. The number of elements in each of the subarrays is 2M and $N$ where $M$ and $N$ are coprime. The number of consecutive DOF an ACA achieves with $N$ + 2M – 1 sensors is 2M N + 2M – 1. Here, we optimize the ACA structure for a given number of sensors and find out the values of $M$ and $N$ so that the array can achieve maximum DOF. We also give closed-form expressions of the DOF for a specific number of sensors. For DOA estimation, the spatial smoothing MUltiple SIgnal Classification (MUSIC) algorithm is used. In the simulation part, we estimate the spatial spectrum of this array, analyze the DOF versus the number of sensors and also look into the root mean square error (RMSE) performance of the array.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127575571","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
Multi-target tracking using Ramanujan Sum based DWT 基于Ramanujan Sum的小波变换多目标跟踪
2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581552
Mayukhmala Jana, Pradipta Roy
{"title":"Multi-target tracking using Ramanujan Sum based DWT","authors":"Mayukhmala Jana, Pradipta Roy","doi":"10.1109/ICORT52730.2021.9581552","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581552","url":null,"abstract":"Wavelets are powerful set of tools used for Computer Vision. Ramanujan sums-based wavelet transform is relatively new in the field of signal processing. In this paper the Ramanujan Sum based DWT (Discrete wavelet transform) is implemented to tackle the problem of multitarget tracking using wavelets. A novel multi-target tracking algorithm is proposed based on DWT. The implementation is done for real time video sequences. The result is compared to Haar & Daubechies based DWT tracking algorithm and performance is better in the video sequences that have been evaluated on the Ramanujan sums-based DWT tracking algorithm. Also, as Ramanujan sums-based wavelet transform use integer coefficients and the normalization can be performed at a later stage, it would be easier to form hardware on this.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115949774","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
CNN Based Image Resizing Detection and Resize Factor Classification for Forensic Applications 基于CNN的图像调整大小检测和调整大小因子分类的法医应用
2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581459
Bibhash Pran Das, Mrutyunjay Biswal, Abhranta Panigrahi, M. Okade
{"title":"CNN Based Image Resizing Detection and Resize Factor Classification for Forensic Applications","authors":"Bibhash Pran Das, Mrutyunjay Biswal, Abhranta Panigrahi, M. Okade","doi":"10.1109/ICORT52730.2021.9581459","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581459","url":null,"abstract":"This paper investigates the forensic problem of resizing detection along with determining the factor by which the image underwent resizing in the uncompressed scenario. In many forensic applications, there is a need to understand the life history of the image under analysis since multimedia data is slowly becoming admissible as evidence in the court of law. The work reported in the paper is a novel attempt in this direction where a convolutional neural network is utilized with twin objectives. Firstly, to detect the presence of resizing by capturing the forensic clues left behind by the resizing operation and secondly, to determine by what factor the uncompressed image was resized which is a blind estimation. Experimental simulation utilizing the raise dataset shows very high accuracy scores for the proposed method. To check the robustness of the proposed network, an adversarial attack, namely Carlini and the Wagner attack, is a white-box attack aiming towards system failure. To the best of our knowledge, such a detailed forensic analysis with one of the adversarial attacks to validate the security of the proposed method has never been reported in the literature and is the novel contribution of the work.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125904012","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: 8
Image Resolution Enhancement Using Convolutional Autoencoders with Skip Connections 使用带有跳过连接的卷积自编码器增强图像分辨率
2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9582015
Hemant Bhojwani, Vishwam Bhavsar, Ruchi Gajjar, Manish I. Patel
{"title":"Image Resolution Enhancement Using Convolutional Autoencoders with Skip Connections","authors":"Hemant Bhojwani, Vishwam Bhavsar, Ruchi Gajjar, Manish I. Patel","doi":"10.1109/ICORT52730.2021.9582015","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9582015","url":null,"abstract":"Improving image resolution, restoring images, denoising images has been a topic of wide study in deep learning domain. Due to the lack of ground truth images in practical scenarios, the enhanced images help tremendously in understanding and studying the phenomenon in an effective and efficient way. The paper presented here uses autoencoders which in turn comprise of encoder and decoder parts. In order to improve performance of autoencoder, skip connections from initial layers of encoder to the final layers of decoder have also been used. The deconvolutional part can be understood as combination of upsampling layers and convolutional layers. The proposed technique achieves impressive performance on a dataset (WHU-RS19) that has images of different geographies and are highly unrelated. The method proposed in this paper that uses symmetric convolutional and deconvolution layers, is able to achieve an accuracy of 89%; showing the merit of proposed network.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127127596","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
Spectral & Spatial Feature detection on Hyperspectral Images using Deep Neural Networks 基于深度神经网络的高光谱图像光谱与空间特征检测
2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581685
A. Banerjee, M. Rout, Mainak Bandyopadhyay
{"title":"Spectral & Spatial Feature detection on Hyperspectral Images using Deep Neural Networks","authors":"A. Banerjee, M. Rout, Mainak Bandyopadhyay","doi":"10.1109/ICORT52730.2021.9581685","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581685","url":null,"abstract":"Hyperspectral is one of such techniques, which is used mainly when the images from the satellite are captured and are used to identify different objects. Hyperspectral images are made up of a large number of bands naturally. Thus extracting information from the satellite comes with many problems and challenges. But with the use of powerful deep learning (DL) methods, earth's surface can be precisely explored and analyzed. The combination of spatial and spectral information helps to track and find out remotely sensed scrutinized data everywhere. In this paper, different Deep Neural Network (DNN) models like Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU) and 3D Convolution Neural Network are compared for the purpose of Hyperspectral image classification.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133950759","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
Detection of point targets amid cluttered background in IR imagery for IRST and MAWS applications 红外图像中杂乱背景下的点目标检测
2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9582047
N. Kumar, Sandeep Kumar, Z. A. Ansari, Neeta Kandpal, Unnikrishnan G, Ajay Kumar
{"title":"Detection of point targets amid cluttered background in IR imagery for IRST and MAWS applications","authors":"N. Kumar, Sandeep Kumar, Z. A. Ansari, Neeta Kandpal, Unnikrishnan G, Ajay Kumar","doi":"10.1109/ICORT52730.2021.9582047","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9582047","url":null,"abstract":"Due to its relevance in a variety of aerial surveillance and countermeasure systems, detecting point targets against a cluttered backdrop in infrared images has always remained an important topic of research. We evaluate the performance of six point target detection algorithms- Top hat morphology, Modified Top Hat Morphology, Contour Morphology, Method of Directional derivative, Max-Mean and Max-Median- for a synthetic IR video dataset comprising of point targets following predefined trajectories amid cluttered background. True positive rate (Probability of detection) and false alarm rate averaged over all the video frames have been considered as performance measure. It is found that for all the algorithms considered there is a trade off between the True Positive and False Alarm Rate.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132345289","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: 2
Improvement on Flight Test telemetry reception using a Best Source Selector 使用最佳源选择器改进飞行测试遥测接收
2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581417
F. Sandoz, Philippe Klaeyle
{"title":"Improvement on Flight Test telemetry reception using a Best Source Selector","authors":"F. Sandoz, Philippe Klaeyle","doi":"10.1109/ICORT52730.2021.9581417","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581417","url":null,"abstract":"This paper highlights the benefits of using a Best Source Selector in a flight test range, and explores the difficulties encountered by the practical implementation of such a device. Different options are then discussed to ease life of the users. An innovative solution is presented able to provide a solution to the limitations of existing setups. We will also discuss a method of validation of such Best Source Selector device.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115568880","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: 2
Luneberg Lens as Passive Radar Augmenter for Aerial Target Luneberg透镜作为空中目标被动雷达增强器
2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581690
D. Biswas, Asif Rizwan, Narendar Kumar, Nithin Raj V N
{"title":"Luneberg Lens as Passive Radar Augmenter for Aerial Target","authors":"D. Biswas, Asif Rizwan, Narendar Kumar, Nithin Raj V N","doi":"10.1109/ICORT52730.2021.9581690","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581690","url":null,"abstract":"Aerial targets with required level of signature augmentation are used for artillery exercises. The Luneberg lens is a class of optical devices that finds potential applicability as passive radar augmenters for aerial target systems such as drones, tow-bodies etc. They effectively simulate dynamic target by providing mono-static radio frequency echo in the direction of radar required for the drills. The lens is a spherically symmetric structure and made of nonhomogenous dielectric material where refractive index (n) decreases radially from the center to the outer surface. It can produce radar cross-section that measures several hundred times that of a metallic sphere of same size. In practice, it is developed by layered assembly of discrete concentric shells, each of a different refractive index. A chosen portion of its outer surface is masked with a thin conductive layer for reflection. A comprehensive study has been carried out to configure, simulate and evaluate the performance of a compact Luneberg lens and have been discussed. Further, to achieve required detectability of an indigenous aerial tow-target system with specific RCS coverage, multiple lenses placed in different orientations have been configured and reported.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"344 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120837882","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
Metamaterial Inspired Filtering Antenna for Dual Band Applications 双波段应用的超材料启发滤波天线
2021 2nd International Conference on Range Technology (ICORT) Pub Date : 2021-08-05 DOI: 10.1109/ICORT52730.2021.9581808
R. Chakraborty, C. Goswami, R. Ghatak
{"title":"Metamaterial Inspired Filtering Antenna for Dual Band Applications","authors":"R. Chakraborty, C. Goswami, R. Ghatak","doi":"10.1109/ICORT52730.2021.9581808","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581808","url":null,"abstract":"A Metamaterial inspired dual-band filtering antenna is designed to cover both the WLAN 2.4 GHz and WiMax 3.5 GHz bands. The resonators of the dual band filter contain a half wavelength open-loop structure and placed closed proximity of the feeding section. The antenna is composed of two parts. One is a printed inset fed dipole antenna which covers higher frequency band, and the other is a metamaterial mushroom structure, which covers lower frequency band. By integrating the filtering section of the band pass filter to the metamaterial inspired dual band antenna, the filtering antenna exhibits similar dipole radiation pattern in both bands and also minimized the spurious radiation.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121186498","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: 2
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